Academic literature on the topic 'Tremore'
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Journal articles on the topic "Tremore"
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Tavilla, Igor, Roman Kralik, and Marie Roubalova. "Abraham and the tortoise: eleatic variations on Fear and Trembling." XLinguae 12, no. 4 (October 2019): 219–28. http://dx.doi.org/10.18355/xl.2019.12.04.19.
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Sabah najim, Nawras, Abdulnasir H. Ameer, and Azad A. Mohammed. "The Electrophysiological Perspectives of Essential, Enhanced Physiological, and Physiological Tremors." Journal of the Faculty of Medicine Baghdad 64, no. 2 (July 24, 2022): 86–90. http://dx.doi.org/10.32007/jfacmedbagdad.6421921.
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Abstract: Background: The most frequent movement issue seen in clinical practice is tremors. It is known as repetitive, involuntary oscillations. The diagnostic process for tremor patients can be time-consuming and complicated, as the identification of “Essential Tremor” and its distinction from other types of tremor. Objectives: This study aimed to describe the electrophysiological findings of essential, enhanced physiological, and physiological tremors, using surface electromyography and an accelerometer. Patients and Methods: The study included 24 patients with essential tremors, 10 patients with enhanced physiological tremors, and 10 patients with physiological tremors. We assessed the frequency, amplitude, and muscular contraction pattern of tremors during rest, posture, and a 1 kg load. Results: The tremor frequency of essential tremor patients was about 4.2-10.1 Hertz, while enhanced physiological tremor and physiological tremor were increased to 6.1–12.7 Hertz and 5.1-10.2 Hertz, respectively. The essential tremor group muscle contraction pattern was predominantly synchronous, as do all enhanced physiological, and physiological tremor patients, but with more fine low amplitude muscle bursts. By varying the tremor frequency and the weight load effect, tremor analysis could discriminate essential from enhanced physiological, and physiological tremors. Conclusions: The tremor analysis using surface electromyography and an accelerometer is sufficient to differentiate between essential tremors, enhanced physiological tremors, and physiological tremors.
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Radžiūnas, A., O. Laucius, L. Kudrevičius, P. Sėdžius, and I. Čelpačenko. "Gama peilio talamotomija esencialiniam ir Parkinsono tremorui gydyti." Neurologijos seminarai 25, no. 87 (July 1, 2021): 40–45. http://dx.doi.org/10.29014/ns.2021.06.
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Tikslas. Tyrimo tikslas įvertinti gama peilio talamotomijos efektyvumą, stabdant tremorą sergantiesiems Parkinsono liga (PL) ir esencialiniu tremoru, kai kiti invaziniai gydymo metodai nerekomenduotini. Tiriamieji ir tyrimo metodai. Nuo 2019 m. birželio iki 2021 m. sausio dėl esencialinio tremoro ir PL sąlygoto tremoro atitinkamai atlikta 27 ir 20 vienpusių gama peilio talamotomijų. Naudojant Leksell G stereotaksinį rėmą, pagal standartizuotą metodiką, naudojant 4 mm diametro kolimatoriaus šūvį, į n.ventralis intermedius (VIM) zoną paskirta 130-140 Gy dozė. Tyrime pooperacinis vertinimas planuotas atlikti praėjus 6 ir 12 mėnesių po taikyto gydymo. Tačiau dėl besikartojančio karantino dėl COVID-19 buvo apsunkintas ligonių kontaktinis vertinimas, todėl rezultatai vertinti telefoninės apklausos metu. Iš 20 ligonių, sergančių PL, pavyko susisiekti tik su 12, iš kurių aštuoniems gydymas buvo taikytas mažiau nei prieš 6 mėnesius. Nuspręsta PL grupės ligonių gydymo rezultatų analizę atlikti po 6 mėnesių. Rezultatai. Iš 27 sergančiųjų esencialiniu tremoru telefonu pakalbinti pavyko 23 ligonius. Viena ligonė per stebėjimo laikotarpį mirė nuo COVID-19 infekcijos. Iš apklaustų 22 ligonių 16 (72 %) teigė, kad jaučia žymų tremoro rankoje sumažėjimą ar visišką jo išnykimą priešingoje, nei atlikta VIM talamotomija, pusėje. Likę 6 ligoniai (28 %) taikyto gydymo efekto iki šiol ne-jaučia. Iš 22 ligonių 4 (18 %) teigė, kad kurį laiką buvo sutrikusi koordinacija ir vargino laikinas rankos nevikrumas, kuris praėjo per kelis mėnesius. Išvados. Gama peilio talamotomija yra saugi ir efektyvi esencialinio rankų tremoro mažinimo priemonė. Pagrindiniai šio gydymo trūkumai yra kelis ar keliolika mėnesių trunkantis latencinis periodas iki pastebimo klinikinio efekto ir laikina ataksija.
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Brindha, A., K. A. Sunitha, and S. Robert Wilson. "TREMOR CLASSIFICATION USING WEARABLE IOT BASED SENSORS." IOP Conference Series: Materials Science and Engineering 1219, no. 1 (January 1, 2022): 012024. http://dx.doi.org/10.1088/1757-899x/1219/1/012024.
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Abstract Tremors, a significant symptom of movement disorder, affects a part of the body ranging from slight to severe. These Tremors are symptoms of various neurological diseases such as Parkinson’s disease (PD), Essential tremors (ET), Physiological tremors (PT), Cerebellar tremor, Dystonic tremor, Psychogenic tremor, and many more. Tremor features and types differ for various neurological disorders. During the early stages of the disease, clinical examination of tremors plays a significant role in diagnose management. This work aims to develop a wearable assistive system with an Inertial Measurement Unit (IMU) sensor to classify the tremor of three different neurological disorders based on the tremor position and frequency. This research has been carried out in SRM Medical college and Research Centre with 15 patients. The type of neurodegenerative disease of the subject with tremor is evaluated based on the tremor position and tremor frequency level. The data is collected, transmitted, and processed using the IMU sensor with Internet of things (IoT) and Node MCU board. The decision tree algorithm is used for the classification of tremors. ET, PD, and PT tremors are classified based on the tremor frequency and tremor position. A high rate of accuracy is achieved for the developed system when compared with the Neurologist results. The proposed device quantitatively classified the tremor based on the frequency and position among the three different neurological disorders, i.e., ET, PD, and PT tremors.
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Munday-Finch, S. C., and I. Garthwaite. "Toxicology of ryegrass endophyte in livestock." NZGA: Research and Practice Series 7 (January 1, 1999): 63–67. http://dx.doi.org/10.33584/rps.7.1999.3404.
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The ryegrass endophyte/plant interaction produces a number of toxic metabolites responsible for a range of toxicoses including ryegrass staggers. Although lolitrem B has long been considered the toxin responsible for ryegrass staggers in farm animals, it is only recently that we have demonstrated that oral administration of the pure toxin causes tremors in mice consistent with the symptoms of ryegrass staggers. Various levels of the toxin were incorporated into the diet of mice and tremor response measured regularly. Mice were very susceptible to the tremorgenic action of lolitrem B with a dose of only 1.1 mg/kg per day being sufficient to induce a tremor response. Analysis of faeces from a dosed mouse showed that approximately 40% of the toxin ingested was excreted unchanged. The profile of tremor response shows that tremors build up over a 24-hour period and then reach a dose dependent plateau suggesting that toxin turnover reaches a steady state. In experiments designed to test the possibility that tremorgens bind to specific receptors in the brain, mice were injected with the 14C-labelled tremorgen, paxilline. Paxilline was chosen as it is similar in structure and possible action to lolitrem B and could be more easily prepared with an isotopic label. Following injection of 14C-paxilline to mice their brains and spinal cord were sectioned and analysed for 14C content. Localised binding was not detected but rather an even distribution of isotope was observed. This is probably due to the lipophilicity of the tremorgens, which distribute randomly throughout the fatty brain matrix, masking any binding to specific regions or receptors. This study showed, however, that only a minute proportion of the administered tremorgen reached the brain and spinal cord, indicating that, if this is the site of action, the receptors involved in the initiation of staggers are extremely sensitive to the tremorgens. Keywords: endophyte, lolitrem, Lolium perenne, mycotoxin, Neotyphodium lolii, neurotoxin, oral dosing, ryegrass staggers, tremor, tremorgen
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Raethjen and Deuschl. "Tremor." Therapeutische Umschau 64, no. 1 (January 1, 2007): 35–40. http://dx.doi.org/10.1024/0040-5930.64.1.35.
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Tremor ist eines der häufigsten neurologischen Symptome. Die genaue Diagnose wird in der Regel klinisch gestellt. Der häufigste primär neurologisch bedingte Tremor ist der Essentielle Tremor (Prävalenz 2–5%), der sich überwiegend als relativ symmetrischer Halte- und kinetischer Tremor zeigt. Er folgt in 60% der Fälle einem autosomal dominanten Erbgang, bessert sich bei 60–70% der Patienten unter Alkohol und kann außer den Händen den Kopf und die Stimme betreffen. Der Parkinson-Tremor tritt dagegen überwiegend in Ruhe auf und beginnt asymmetrisch, häufig unter Beteiligung von Beinen und Gesicht. Der cerebelläre Tremor ist ein Intentionstremor. Der hochfrequente Orthostatische Tremor betrifft hauptsächlich die Beine und führt zu einer Standunsicherheit. Der Dystone Tremor ist ein Aktionstremor der betroffenen Körperregion. Die symptomatische medikamentöse Therapie des Tremors wird in erster Linie von der klinischen Erscheinungsform bestimmt. Während Halte- und Aktionstremores hauptsächlich auf nicht-selektive Betablocker (Propranolol), Primidon, manche neuere Antiepileptika (Gabapentin, Topiramat) und Benzodiazepine ansprechen, bessern sich klassische Ruhetremores unter dopaminergen Substanzen (Levodopa, Dopaminagonisten) oder Anticholinergika. Beim Dystonen Tremor sind häufig Botulinum-Toxin Injektionen erfolgreich, der orthostatische Tremor spricht bei einem Teil der Patienten auf Gabapentin oder Benzodiazepine an. Für medikamentös therapierefraktäre, schwer behinderte Patienten besteht bei der Mehrzahl der Tremores die Möglichkeit der Implantation von Stimulationselektroden in den VIM-Kern des Thalamus mit sehr guten Erfolgen aber vorhandenen Risiken.
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Md Zain, Mohd Zarhamdy, Ali Zolfagharian, Moslem Mohammadi, Mahdi Bodaghi, Abd Rahim Abu Bakar, and Abbas Z. Kouzani. "A Portable Non-Contact Tremor Vibration Measurement and Classification Apparatus." Actuators 11, no. 1 (January 17, 2022): 26. http://dx.doi.org/10.3390/act11010026.
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Tremors are the most common type of movement disorder and affect the lives of those experiencing them. The efficacy of tremor therapies varies according to the aetiology of the tremor and its correct diagnosis. This study develops a portable measurement device capable of non-contact measurement of the tremor, which could assist in tremor diagnosis and classification. The performance of this device was assessed through a validation process using a shaker at a controlled frequency to measure human tremors, and the device was able to measure vibrations of 50 Hz accurately, which is more than twice the frequency of tremors produced by humans. Then, the device is tested to measure the tremors for two different activation conditions: rest and postural, for both hand and leg. The measured non-contact tremor vibration data successfully led to tremor classification in the subjects already diagnosed using a contact accelerometer.
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Katlowitz, Kalman, Mia Ko, Alon Y. Mogilner, and Michael Pourfar. "Effect of deep brain simulation on arm, leg, and chin tremor in Parkinson disease." Journal of Neurosurgery 131, no. 5 (November 2019): 1514–19. http://dx.doi.org/10.3171/2018.7.jns18784.
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OBJECTIVEThe efficacy of deep brain stimulation (DBS) of the subthalamic nucleus (STN) in the treatment of Parkinson disease (PD)–related tremor has been well established. However, the relative impact on arm, leg, and chin tremor has been less clearly elucidated. The authors evaluated the distribution of tremors in a PD cohort undergoing STN DBS and sought to evaluate the differential impact of DBS as a function of tremor location.METHODSA retrospective study of patients with PD with tremor who underwent DBS surgery between 2012 and 2016 was performed to evaluate the impact of STN stimulation on overall and regional tremor scores.RESULTSAcross 66 patients the authors found an average of 78% overall reduction in tremor after 6 months. In this cohort, the authors found that tremor reduction was somewhat better for arm than for leg tremors, especially in instances of higher preoperative tremor (84% vs 71% reduction, respectively, for initial tremor scores ≥ 2). No significant difference in response was found between patients with medication-responsive versus medication-nonresponsive tremors.CONCLUSIONSThe authors found that although DBS improved tremor in all regions, the improvement was not uniform between chin, arm, and leg—even within the same patient. The reasons behind these differing responses are speculative but suggest that STN DBS may more reliably reduce arm tremors than leg tremors.
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Rana, Abdul Qayyum, and Mohamad Saleh. "Relationship between resting and action tremors in Parkinson’s disease." Journal of Neurosciences in Rural Practice 07, no. 02 (April 2016): 232–37. http://dx.doi.org/10.4103/0976-3147.176192.
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ABSTRACT Objective: To determine the relationship between resting tremor (RT) and action tremor (AT) in Parkinson’s disease (PD) patients. Methods: A retrospective study of RT and AT severity was conducted in 100 PD patients. The severity rating for each type of tremor in the upper extremities was assessed. The disparity in tremor severity between extremities for each tremor type was compared to that of the other two to identify commonalities in the laterality of the tremor manifestation. Results: Overall, RT is predictive of AT on the same side, but not the opposing side of the body. Patients with less intense resting right upper limb (RRU) tremor and moderately intense RRU tremor were significantly more likely to have an action right upper limb (ARU) tremor (−1.53, P = 0.020; −1.88, P = 0.005, respectively). Similarly, patients with less intense resting left upper limb (RLU) tremor and moderately intense RLU tremors were significantly more likely to have an action left upper limb (ALU) tremor (−3.49, P = 0.000; −1.86, P = 0.017, respectively). In addition, RRU and ALU tremors were associated with an increase in RLU and ARU tremors, respectively. Conclusion: Tremors are common findings in PD patients, and often impair quality of life. By identifying and classifying the relationship between resting and ATs in PD patients, our study sheds light onto the importance of better understanding and future management of this debilitating symptomology.
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Pascual-Valdunciel, Alejandro, Víctor Lopo-Martínez, Alberto J. Beltrán-Carrero, Rafael Sendra-Arranz, Miguel González-Sánchez, Javier Ricardo Pérez-Sánchez, Francisco Grandas, et al. "Classification of Kinematic and Electromyographic Signals Associated with Pathological Tremor Using Machine and Deep Learning." Entropy 25, no. 1 (January 5, 2023): 114. http://dx.doi.org/10.3390/e25010114.
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Peripheral Electrical Stimulation (PES) of afferent pathways has received increased interest as a solution to reduce pathological tremors with minimal side effects. Closed-loop PES systems might present some advantages in reducing tremors, but further developments are required in order to reliably detect pathological tremors to accurately enable the stimulation only if a tremor is present. This study explores different machine learning (K-Nearest Neighbors, Random Forest and Support Vector Machines) and deep learning (Long Short-Term Memory neural networks) models in order to provide a binary (Tremor; No Tremor) classification of kinematic (angle displacement) and electromyography (EMG) signals recorded from patients diagnosed with essential tremors and healthy subjects. Three types of signal sequences without any feature extraction were used as inputs for the classifiers: kinematics (wrist flexion–extension angle), raw EMG and EMG envelopes from wrist flexor and extensor muscles. All the models showed high classification scores (Tremor vs. No Tremor) for the different input data modalities, ranging from 0.8 to 0.99 for the f1 score. The LSTM models achieved 0.98 f1 scores for the classification of raw EMG signals, showing high potential to detect tremors without any processed features or preliminary information. These models may be explored in real-time closed-loop PES strategies to detect tremors and enable stimulation with minimal signal processing steps.
Dissertations / Theses on the topic "Tremore"
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Keogh, Justin W. L., and n/a. "Constraints on the Control of Physiological Tremor." Griffith University. School of Physiotherapy and Exercise Science, 2006. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20070208.110453.
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This thesis sought to: 1) examine the effect of a number of organism and task constraints on the control of two forms of physiological tremor, namely postural and finger-pinch force tremor; and 2) determine if the expected constraint-related changes in tremor output were associated with alterations in the control strategy utilised by the performer. The organism constraints were age and resistance-training (for both forms of tremor), while the task constraints were visual feedback, target size and limb preference (postural tremor) and mean force, target shape and limb preference (force tremor). The postural (index finger) tremor amplitude of young adults was significantly greater in the augmented vision (AV) than normal vision (NV) conditions and when using the non-preferred than preferred limb. Even greater differences/changes in postural tremor amplitude were observed as a function of aging and training. Older adults had significantly more index finger tremor amplitude than young adults. Regardless, the older adults who completed a six weeks program of unilateral strength- or coordination-training were able to significantly reduce their tremor amplitude. Although the training-related reductions in tremor amplitude were of a greater magnitude for the trained than untrained limb, a significant reduction in the tremor amplitude of the untrained limb was also observed for the coordination-training group. All of these significant differences/changes in tremor amplitude were associated with significant changes in a number of other dependent variables. For example, the task- and age-related increases in tremor amplitude were primarily a result of greater 8-12 Hz tremor power and were associated with increased EMG activity/co-activation of the extensor digitorum (ED) and flexor digitorum superficialis (FDS) muscles and a significant reduction in intra-limb (index finger-hand and forearm-upper arm) coupling. The significant reductions in tremor amplitude observed for the resistance-trained older adults was a result of a significant decline in 8-12 Hz power and were associated with a significant reduction in ED and FDS co-activation. However, no significant change in intra-limb coupling was observed. The overall trends observed in the results for the finger-pinch force tremor experiments were similar to those for postural tremor. Older adults had significantly more finger-pinch force tremor (i.e. force variability and targeting error) than young adults, although older adults who performed six weeks of unilateral strength-training were able to significantly reduce the force variability and targeting error of the trained limb. No significant training-related reduction in force tremor was however observed for the untrained limb. The significant age-related increase in force tremor was a result of greater low frequency (less than 2 Hz) power and was associated with a significant loss of inter-digit force sharing and coupling as well as tactile sensitivity. Interestingly, the training-related decreases in force tremor were not associated with significant changes in any of the frequency, sharing or coupling measures. Collectively, the results of the five experiments contained in this thesis add much to our understanding of postural and force tremor. Results indicated that numerous task and organism constraints can have a substantial effect on the resulting tremor output. Furthermore, the task- and age-related differences in the power spectral, muscle activity and coupling measures suggested that the changes in tremor output were the result of the use of an altered (sub-optimal) control strategy. The age-related increase in postural and force tremor amplitude may therefore reflect not only an overall decline in neuromuscular system function, but also the relative inability of older adults to effectively coordinate the output of numerous degrees of freedom (limb segments). The effect of the aging process on tremor output was somewhat reversible, with the older adults who performed resistance-training significantly improving their control of both postural and force tremor. There was some evidence that resistance-training could produce cross-education effects in older adults, although these were only statistically significant for postural tremor amplitude in the coordination-training group and for wrist flexion strength in the strength-training group. The relative brevity of the training program (6 weeks) and the observable cross-education effects suggest that the reduction in tremor amplitude and increases in strength were primarily a result of neural adaptations. Such findings further support the prescription of resistance-training for improving physical function in older individuals.
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Keogh, Justin W. L. "Constraints on the Control of Physiological Tremor." Thesis, Griffith University, 2006. http://hdl.handle.net/10072/366057.
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This thesis sought to: 1) examine the effect of a number of organism and task constraints on the control of two forms of physiological tremor, namely postural and finger-pinch force tremor; and 2) determine if the expected constraint-related changes in tremor output were associated with alterations in the control strategy utilised by the performer. The organism constraints were age and resistance-training (for both forms of tremor), while the task constraints were visual feedback, target size and limb preference (postural tremor) and mean force, target shape and limb preference (force tremor). The postural (index finger) tremor amplitude of young adults was significantly greater in the augmented vision (AV) than normal vision (NV) conditions and when using the non-preferred than preferred limb. Even greater differences/changes in postural tremor amplitude were observed as a function of aging and training. Older adults had significantly more index finger tremor amplitude than young adults. Regardless, the older adults who completed a six weeks program of unilateral strength- or coordination-training were able to significantly reduce their tremor amplitude. Although the training-related reductions in tremor amplitude were of a greater magnitude for the trained than untrained limb, a significant reduction in the tremor amplitude of the untrained limb was also observed for the coordination-training group. All of these significant differences/changes in tremor amplitude were associated with significant changes in a number of other dependent variables. For example, the task- and age-related increases in tremor amplitude were primarily a result of greater 8-12 Hz tremor power and were associated with increased EMG activity/co-activation of the extensor digitorum (ED) and flexor digitorum superficialis (FDS) muscles and a significant reduction in intra-limb (index finger-hand and forearm-upper arm) coupling. The significant reductions in tremor amplitude observed for the resistance-trained older adults was a result of a significant decline in 8-12 Hz power and were associated with a significant reduction in ED and FDS co-activation. However, no significant change in intra-limb coupling was observed. The overall trends observed in the results for the finger-pinch force tremor experiments were similar to those for postural tremor. Older adults had significantly more finger-pinch force tremor (i.e. force variability and targeting error) than young adults, although older adults who performed six weeks of unilateral strength-training were able to significantly reduce the force variability and targeting error of the trained limb. No significant training-related reduction in force tremor was however observed for the untrained limb. The significant age-related increase in force tremor was a result of greater low frequency (less than 2 Hz) power and was associated with a significant loss of inter-digit force sharing and coupling as well as tactile sensitivity. Interestingly, the training-related decreases in force tremor were not associated with significant changes in any of the frequency, sharing or coupling measures. Collectively, the results of the five experiments contained in this thesis add much to our understanding of postural and force tremor. Results indicated that numerous task and organism constraints can have a substantial effect on the resulting tremor output. Furthermore, the task- and age-related differences in the power spectral, muscle activity and coupling measures suggested that the changes in tremor output were the result of the use of an altered (sub-optimal) control strategy. The age-related increase in postural and force tremor amplitude may therefore reflect not only an overall decline in neuromuscular system function, but also the relative inability of older adults to effectively coordinate the output of numerous degrees of freedom (limb segments). The effect of the aging process on tremor output was somewhat reversible, with the older adults who performed resistance-training significantly improving their control of both postural and force tremor. There was some evidence that resistance-training could produce cross-education effects in older adults, although these were only statistically significant for postural tremor amplitude in the coordination-training group and for wrist flexion strength in the strength-training group. The relative brevity of the training program (6 weeks) and the observable cross-education effects suggest that the reduction in tremor amplitude and increases in strength were primarily a result of neural adaptations. Such findings further support the prescription of resistance-training for improving physical function in older individuals.Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Physiotherapy and Exercise Science
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Miesner, Jochen. "Augenbewegungsstörungen bei essentiellem Tremor." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=974496103.
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Schuurman, Peter Richard. "Thalamic surgery for tremor." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2002. http://dare.uva.nl/document/65876.
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Pinto, Manuel Duarte Carvalho Lages. "Tremor essencial: visão global da doença." Master's thesis, Universidade da Beira Interior, 2013. http://hdl.handle.net/10400.6/1506.
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O tremor essencial é uma das patologias mais comuns entre as patologias do sistema nervoso,
sendo que é vista frequentemente pelos médicos neurologistas. Estima-se que a prevalência a
nível mundial desta doença se situe entre os 0,41% e os 3,92%.
Apesar de não haver uma causa definida para a doença, o que faz com que a sua etiologia
ainda permaneça, em grande parte, desconhecida dados recentes indicam-nos que a patologia
ocorre com um padrão familiar, embora se tenha verificado que também pode ocorrer de
forma esporádica. Foram identificados até ao momento pelo menos 3 genes que podem
aumentar a suscetibilidade para o tremor essencial: ETM1, ETM2 e ETM3. Existem também
evidências que alguns fatores de risco podem contribuir para o surgimento da patologia, entre
eles o álcool, o chumbo e os alcaloides do grupo das β-carbolinas. A evidência atual indicanos
que o tremor essencial é uma doença neurodegenerativa, em que há envolvimento
seletivo, tanto anatomicamente como fisiologicamente, de um sistema organizado de
neurónios, mais especificamente as células de Purkinje; para além disso, a patologia pode
eventualmente afetar sistemas não- motores, como por exemplo, a cognição e o olfato.
O tremor essencial é definido classicamente por um tremor de ação (postural ou cinético),
bilateral, em grande parte simétrico, que afeta mais frequentemente os braços e a cabeça e
que é visível e persistente. O diagnóstico diferencial é feito principalmente com a doença de
Parkinson.
As possibilidades terapêuticas para o tratamento do tremor essencial usadas hoje em dia
foram descobertas por tentativa-erro, sendo estas originalmente concebidos para outras
patologias. Os dois únicos fármacos com eficácia estabelecida para a patologia são o
Propranolol e a Primidona, sendo que a cirurgia está recomendada para casos mais graves e
refratários. Em estudo continuam futuras possibilidades terapêuticas.Essential tremor is one of the most common diseases among the pathologies of the nervous system, which is seen frequently by neurologists. It is estimated that the worldwide prevalence of this disease is between 0.41% and 3.92%. Although there is no definite cause for the disease, which causes its etiology to remain still largely unknown, recent data indicates that the pathology occurs with a familiar pattern, although it has been found that it can also occur in a sporadic way. Until today three loci have been identified that may increase the susceptibility to essential tremor: ETM1, ETM2 and ETM3. There is also evidence that some risk factors may contribute to the arising of the disease, among them alcohol, lead and the alkaloids group of β-carbolines. Current evidence indicates that essential tremor is a neurodegenerative disorder in which there is selective involvement, both anatomically and physiologically, of an organized system of neurons, more specifically Purkinje cells; moreover the condition can eventually affect non-motor systems, for example, cognition and smell. Essential tremor is classically defined by an action tremor (postural or kinetic), bilaterally, mostly symmetrical, which affects more often arms and head and that is visible and persistent. The differential diagnosis is made primarily with Parkinson's disease. The therapeutic possibilities for the treatment of essential tremor used nowadays were discovered by trial-error, these being originally designed for other diseases. The only two drugs with established efficacy to the pathology are Propranolol and Primidone, with the surgery being recommended for more severe cases and refractories. Future therapeutic possibilities are now being studied.
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Markez, Sonja. "Development of a hand tremor quantification device for the measurement of pathological tremor." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0016/MQ53333.pdf.
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Corie, Thomas Henry. "Simulated Tremor Propagation in the Upper Limb: From Muscle Activity to Joint Displacement." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6777.
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Although tremor is the most common movement disorder, there are few non-invasive treatment options. One of the obstacles to creating effective tremor suppression devices is our lack of understanding regarding where tremor originates (which muscles), how it propagates through the limb (to which degrees of freedom, DOF), and where it manifests most severely (which DOF). To investigate these questions, we created a simple, linear time-invariant model to simulate tremor, with tremorogenic muscle activity input (in the 15 major superficial muscles from the shoulder to the wrist) and joint displacement output (in the 7 major upper limb DOF). The model included excitation-contraction dynamics, musculoskeletal geometry (muscle moment arms) and the mechanical impedance (inertia, damping, and stiffness) of the limb. From our simulation results, we determined four principles of tremor propagation. First, the distribution of tremor depends strongly on musculoskeletal dynamics. Second, the spreading of tremor is due to inertial coupling (primarily) and musculoskeletal geometry (secondarily). Third, tremor spreads narrowly in the sense that most of the tremor caused by a muscle occurs in a small number of DOF. Lastly, assuming uniform distribution of tremorogenic activity among upper-limb muscles, tremor increases proximal-distally, and the contribution from muscles increases proximal-distally.
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Veluvolu, Kalyana [Verfasser]. "Real-time Filtering of Physiological Tremor for Microsurgery. Physiological Tremor Robotic Compensation / Kalyana Veluvolu." München : GRIN Verlag, 2020. http://d-nb.info/1220832847/34.
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Geiger, Daniel William. "Characterization of Postural Tremor in Essential Tremor Using a Seven-Degree-of-Freedom Model." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/5684.
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Essential Tremor (ET), a condition characterized by postural and kinetic tremor in the upper limbs, is one of the most prevalent movement disorders. While pharmaceutical and surgical treatment options exist, they are not ideal. Assistive devices have the potential to provide relief to patients but are largely unexplored for ET. Furthermore, prior characterizations of essential tremor have focused on endpoint tremor and provide insufficient detail for designing such a device. We propose and demonstrate a novel method for characterizing essential tremor in the 7 proximal degrees of freedom (DOF) of the upper limb in various postures. In addition, we provide a preliminary characterization in a small number of patients with mild ET. We collected data from 10 patients with ET. Subjects were instrumented with four electromagnetic sensors that recorded orientation of upper limb segments. After a calibration, each subject positioned his/her upper limb in 16 different postures for 15 seconds each. This procedure was repeated 4 times for each subject, with each repetition being considered a run. Sensor data were converted to angular kinematic data for each DOF using inverse kinematics, a practice unique to this study. These data were then analyzed in the frequency domain to calculate the power associated with the tremor in each DOF and posture. More specifically, we computed the area of the periodogram over the 4-12 Hz frequency band typically associated with ET [narrow-band area (NBA)] and over the wider frequency band from 2 Hz to the Nyquist frequency [wide-band area (WBA)]. If significant peaks were found in the 4-12 Hz band, their frequency and amplitude were reported. Mixed-model ANOVA tests were used to investigate effects of DOF, posture, run, gravity, and patient characteristics on reported measures. NBA and WBA varied significantly between DOF, being lowest in the wrist, intermediate in the shoulder, and greatest in the elbow and forearm (pronation-supination). NBA and WBA also varied significantly with posture. Only 5% of observations had significant peaks, with 49% of peaks occurring in wrist flexion-extension and 39% occurring in wrist radial-ulnar deviation. Peak frequency was quite stereotyped (5.7 Hz ± 1.3Hz). Run had no significant effects, indicating that tremor measures were consistent over the duration of the experiment. Effects of gravity and demographic factors on measures were mixed and did not present a discernible pattern. This preliminary characterization suggests that tremor may be focused in a subset of upper limb DOF, being greatest (in terms of power) in elbow flexion-extension and forearm pronation-supination, and most concentrated (with peaks at a stereotyped frequency) in wrist flexion-extension and radial-ulnar deviation. Our method of 7 DOF characterization through inverse kinematics, in conjunction with future research (isolation studies, EMG, and finger DOF) may allow for optimal tremor suppression by an orthosis.
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Hemmerich, Abby Leigh. "The distribution and severity of tremor in speech structures of persons with vocal tremor." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/2891.
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Background: Vocal tremor affects over half a million Americans. Tremor can affect structures within the respiratory, laryngeal, velopharyngeal, or oral regions (Critchley, 1949). No study has related the of tremor severity in structures in all four of these regions to the severity of vocal tremor. Purpose: The purpose of this study was (a) to describe the distribution and severity of tremor throughout the vocal tract and (b) to relate that to the severity of the voice tremor. We hypothesized that tremor would be widespread throughout the vocal tract, but most prevalent in the larynx, specifically in the true vocal folds. Additionally, we expected vocal tremor severity to be directly related to the distribution and severity of tremor in structures of the vocal tract. Method: Twenty adults with vocal tremor and two age-matched controls participated in the study. Two judges, experienced in assessment of laryngeal movement disorders, rated the tremor severity in each of 15 structures during sustained /i/, /s/, /h/, and rest breathing, and the severity of the voice tremor during sustained /i/, /s/, and /h/. Results: A novel finding of this study was the identification of distribution and severity of tremor in vocal tract structures associated with mild, moderate, and severe vocal tremor. Participants with mild voice tremor tended to show tremor limited to structures of the larynx, and in some cases, the velopharynx, and on average, had three structures affected (most commonly true vocal folds, supraglottic structures, and hypopharynx). Participants with moderate voice tremor tended to show tremor in the larynx and velopharynx, and on average, had five structures affected (most commonly true vocal folds, supraglottic structures, hypopharynx, vertical laryngeal movement, and some other velar, oral, or respiratory structure). Those with severe voice tremor showed tremor in the larynx, velopharynx, and beyond and on average, had eight structures affected (most commonly true vocal folds, supraglottic structures, hypopharynx, vertical laryngeal movement, anterior and lateral chest movement, velum, and jaw). A second novel finding, obtained through regression analyses, was that tremor severity of the supraglottic structures and vertical laryngeal movement contributed the most to the voice tremor severity during sustained phonation (r=0.77, F=16.17, p<0.0001). A strong positive correlation (r=0.72) was found between the Tremor Index, a composite value of the distribution and severity of structural tremor, and the severity of the voice tremor during sustained phonation. The correlation between the severity of tremor in the true vocal folds and the voice tremor was moderate (r=0.46). Mean voice tremor severity was greater in participants over age 75 (mean=2.25) than those between 66 and 75 years (mean=1.5) and under age 65 (mean=1.8). Mean Tremor Index, was greater in participants over age 65 (mean TI=68) than those under age 65 (mean=41). In this group of 20 participants, laryngeal/hypopharyngeal structures were most frequently (95%) and severely (rated 1.7 out of 3) affected, followed by velopharyngeal (40% occurrence, 1.3 severity), respiratory (40% occurrence, 1.1 severity), and oral (40% occurrence, 1.0 severity) regions during sustained phonation. Tremor was also identified more often and with greater severity in the larynx for sustained /s/ (70% occurrence, 1.7 severity), /h/ (40% occurrence, 1.7 severity), and rest breathing (45% occurrence, 1.6 severity) than other regions. During the voiceless and rest breathing tasks, the greatest tremor severity was noted in the true vocal folds. Conclusion: Evaluation of the distribution and severity of tremor may be useful in guiding behavioral and medical treatment of voice tremor and for providing prognostic information regarding response to laryngeal botulinum toxin injection.
Books on the topic "Tremore"
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Scapolo, Barbara. Leggere Timore e tremore di Kierkegaard. Como: Ibis, 2013.
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Morabito, Raffaele. Il gran tremore: Rappresentazioni letterarie dei terremoti. L'Aquila: L'Una, 2011.
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Spaggiari, William. L' armonico tremore: Cultura settentrionale dall'arcadia all'età napoleonica. Milano, Italy: F. Angeli, 1990.
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Taylor, Mark C. Timore e tremore: Lirica dialettica di Johannes de Silentio. Milano: Editoriale Opportunity Book, 1995.
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Romano, Mastromattei, ed. Tremore e potere: La condizione estatica nello sciamanismo himalayano. Milano, Italy: F. Angeli, 1995.
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Csillaghy, Andrea. Un tremore di foglie: Scritti e studi in ricordo di Anna Panicali. Udine: Forum, 2011.
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Castangia, Luigi. Timore e tremore: I significati del timore di Dio nel libro di Giobbe. Bologna: EDB Edizioni Dehoniane Bologna, 2018.
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La Calabria, la sua storia, i suoi terremoti: Dall'anno 1 al 2000, venti secoli di tremore. Roma: Aracne editrice S.r.l., 2014.
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Salom, Philip. Tremors. Canberra: National Library of Australia, 1992.
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Vieira, Emanuel Medeiros. Tremores. Brasília, DF: Códice, 1993.
Find full textBook chapters on the topic "Tremore"
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Kaneko, Ryosuke, Hiromichi Nagao, Shin-ichi Ito, Kazushige Obara, and Hiroshi Tsuruoka. "Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images." In Lecture Notes in Computer Science, 31–43. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75015-2_4.
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AbstractThe installation of dense seismometer arrays in Japan approximately 20 years ago has led to the discovery of deep low-frequency tremors, which are oscillations clearly different from ordinary earthquakes. As such tremors may be related to large earthquakes, it is an important issue in seismology to investigate tremors that occurred before establishing dense seismometer arrays. We use deep learning aiming to detect evidence of tremors from past seismic data of more than 50 years ago, when seismic waveforms were printed on paper. First, we construct a convolutional neural network (CNN) based on the ResNet architecture to extract tremors from seismic waveform images. Experiments applying the CNN to synthetic images generated according to seismograph paper records show that the trained model can correctly determine the presence of tremors in the seismic waveforms. In addition, the gradient-weighted class activation mapping clearly indicates the tremor location on each image. Thus, the proposed CNN has a strong potential for detecting tremors on numerous paper records, which can enable to deepen the understanding of the relations between tremors and earthquakes.
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Grimaldi, Giuliana, and Mario Manto. "Mechanisms of Tremor." In Tremor, 109–35. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01627-1_7.
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Grimaldi, Giuliana, and Mario Manto. "Introduction." In Tremor, 1–7. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01627-1_1.
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Grimaldi, Giuliana, and Mario Manto. "Anatomical Overview of the Central and Peripheral Nervous System." In Tremor, 9–28. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01627-1_2.
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Grimaldi, Giuliana, and Mario Manto. "Treatments." In Tremor, 137–66. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01627-1_8.
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Grimaldi, Giuliana, and Mario Manto. "Physiology of the Nervous System." In Tremor, 29–38. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01627-1_3.
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Grimaldi, Giuliana, and Mario Manto. "Quantification of Tremor." In Tremor, 81–108. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01627-1_6.
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Grimaldi, Giuliana, and Mario Manto. "Principal Disorders Associated with Tremor." In Tremor, 55–80. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01627-1_5.
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Krishnan, Hari P., and Ash Bennington. "The VIX “Volmaggedon”, with Exchange-Traded Notes Destabilizing the Market." In Market Tremors, 83–119. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79253-4_4.
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Krishnan, Hari P., and Ash Bennington. "Liquidity Fissures in the Corporate Bond Markets." In Market Tremors, 121–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79253-4_5.
Full textConference papers on the topic "Tremore"
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Wang, Jiamin, Sunit K. Gupta, and Oumar Barry. "Towards Data-Driven Modeling of Pathological Tremors." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22147.
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Abstract Understanding the dynamics of pathological tremors (e.g., Parkinson’s Disease, Essential Tremor) is crucial to developing effective treatments for these neurological disorders. This paper studies the data-driven modeling of periodic and quasiperiodic tremors. A general neuromusculoskeletal model is proposed to serve as the theoretical basis of this study. The Parkinsonian tremor data is first observed in terms of periodicity, frequency composition, and chaotic characteristics, which confirm tremor is a nonlinear dynamics problem. Two data-driven models are then proposed to predict the nonlinear dynamics of tremor: (1) a model-free approach via long short-term memory recurrent neural network, and (2) a model-based approach via extended dynamical mode decomposition. These models are compared to existing models and the results show that the proposed models outperform existing models for long term prediction of tremor.
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Winston, Sam E., Riley C. Dehmer, and Timothy A. Doughty. "Parkinsons Disease: Tremor Suppression With Wearable Device." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70910.
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Abstract Parkinson’s Disease (PD) is a neurodegenerative disorder that affects nearly a million people in the United States. Hand tremors are a well-known symptom associated with PD and result in anxiety, frustration, and malnutrition. While there is no cure, several approaches attempt to treat the symptoms. Many are invasive, including the use of pharmaceuticals and surgery [1]. Noninvasive technologies are often cumbersome and do not address the conspicuous nature experiencing tremors in public. This study is motivated by design criteria established from previous research [2], with a goal of an affordable, purely mechanical solution. In both cases, human subject testing echoed lab tests in effective tremor reduction. The extension to a wearable device gives the user the ability to hold or handle any object, or no object, with a significant reduction in tremor. Two separate wearable devices were tested for effectiveness while the simulated user ‘held’ two different objects to simulate different applications. Biomechanical modeling of the human hand informed the development of an adjustable mechanical hand-tremor system for testing. Models of the devices and the hand-device interface were used to simulate the dynamic response of the coupled systems. Each device was secured to the mechanical hand-tremor system and harmonic stimulus and response data was collected over the range of typical tremor frequencies. The results demonstrate the versatility of both designs for reducing the oscillations associated with tremors. The Ratio of Reduction (RoR) was defined to compare the tremor amplitude of the hand-tremor system with and without the device. Both designs were considered effective for each object with a max RoR of 28.09 for Device A and a max RoR of 99.32 for Device B.
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Baechle, Daniel M., Eric D. Wetzel, and Sunil K. Agrawal. "Design and Fabrication of an Arm Exoskeleton for Aim Stabilization." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13371.
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Accurately aiming and firing a pistol requires a steady hand. While many devices can steady a shooter’s arm or hand by restricting movement or degrees-of-freedom, few devices actively reduce involuntary tremors while allowing larger voluntary aiming movements. This paper details the design and fabrication of an arm exoskeleton that can actively damp arm tremors while allowing voluntary aiming movements. The device allows five degrees-of-freedom and is very lightweight due to its cable-driven architecture and use of carbon fiber composite materials. Tremorous movement is filtered out from voluntary motion, and an adaptive algorithm provides a tremor-cancelling signal to the cable control motors.
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Doughty, Timothy A., and Nicholas Bankus. "Mechanical Modeling and Design for Reduction of Parkinsonian Hand Tremor." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39073.
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Most of the active research in reducing Parkinsonian tremor involves invasive surgeries or medical treatment. In this paper hand tremors associated with Parkinson’s Disease (PD) are studied and passive vibration control methods are developed and tested. Patients with PD are surveyed regarding difficulties with hand tremor during the act of eating. The result leads to design criteria for an enhanced eating utensil and the establishment of meaningful testing methods for measuring hand tremor. Tremor data collected from several PD patients provides insight into the nature of the motion and allows for the development of test fixture and prototypes. This experimental data is coupled with linear model identification testing for the free response of a “healthy” hand undergoing the same motions. The resulting differential equation model, where the system input is realized as actuation through the biomechanics of the forearm and wrist, is used in the design of an eating utensil for vibration reduction. With self-excitation and the existence of harmonics, the tremor data is also used to develop a nonlinear differential equation model, where the complete neurological/mechanical system is realized with an equivalent mechanical system. This nonlinear model is shown to mimic the tremor data and is used to enhance the development of the vibration absorber. A prototype of the vibration absorber is built, validated on the test fixture, and tremor reduction data is collected again with PD patients.
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Zanini, Rafael Anicet, and Esther Luna Colombini. "Parkinson sEMG signal prediction and generation with Neural Networks." In Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/ctd.2021.15759.
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Parkinson’s Disease (PD) is a neurodegenerative disorder characterized by symptoms like resting and action tremors, which cause severe impairments to the patient’s life. Recently, many assistance techniques have been proposed to minimize the disease’s impact on patients’ life. However, most of these methods depend on data from PD’s surface electromyography (sEMG), which is scarce. In this work, we propose the first methods, based on Neural Networks, for predicting, generating, and transferring the style of patient-specific PD sEMG tremor signals. This dissertation contributes to the area by i) comparing different NN models for predicting PD sEMG signals to anticipate resting tremor patterns ii) proposing the first approach based on Deep Convolutional Generative Adversarial Networks (DCGANs) to generate PD’s sEMG tremor signals; iii) applying Style Transfer (ST) for augmenting PD’s sEMG signals with publicly available datasets of non-PD subjects; iv) proposing metrics for evaluating the PD’s signal characterization in sEMG signals. These new data created by our methods could validate treatment approaches on different movement scenarios, contributing to the development of new techniques for tremor suppression in patients.
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Guerrera, Brittany, Samantha Farrow, Gloria Zeng, and Sally F. Shady. "Multiple Sclerosis Symptom Analyzer." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66217.
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Multiple Sclerosis (MS) is a chronic neurodegenerative disease of the central nervous system. MS is typically diagnosed between the ages of 20 and 40. There is no known cause of the disease and each individual experiences varying signs and symptoms depending on the severity of their disease. The most common symptoms include tremor, debilitated gait, visual impairment, or cognitive and emotional disturbances. Current methods used to treat MS include oral medication and surgical treatment. The issues with oral medication are the unwanted side effects to otherwise healthy tissue and the lack of patient adherence. Surgical treatment can be invasive and require longer recovery times. An alternate strategy to treat MS is by increasing the knowledge base of the practitioner to potentially treat specific symptoms. Currently, physicians use observations and MRI scans of the brain and spinal cord to help diagnose and track the progression of MS. There are several studies that analyze existing assistive technology to aid in the treatment of MS tremors. Most of these studies did not involve large test groups, therefore it is difficult to prove their validity. Additionally, none of the current devices are able to track symptoms while simultaneously creating medical history records. The goal of the design is to create a new device that will obtain the frequency and amplitude of tremors, while analyzing the effects of temperature and heart rate on the intensity of the tremor. With this data, the device will advance further MS research and lead to better diagnosis and treatment.
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Zanini, Rafael Anicet, and Esther Luna Colombini. "Parkinson sEMG signal prediction and generation with Neural Networks." In Anais Estendidos do Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação (SBC), 2021. http://dx.doi.org/10.5753/sbcas.2021.16102.
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A Doença de Parkinson (DP) é uma doença neurodegenerativa caracterizada por sintomas como tremores de repouso e de ação, que causam graves prejuízos à vida do paciente. Recentemente, diversas dispositivos assistivos têm sido propostos para minimizar o impacto da doença na vida dos pacientes. No entanto, a maioria desses depende de dados da eletromiografia de superfície (sEMG) do paciente, que são escassos. Neste trabalho, propomos os primeiros métodos, baseados em Redes Neurais, para prever e gerar sinais de sEMG de pacientes com Parkinson (PP). Ainda, aprendemos o estilo do tremor no sinal de sEMG destes pacientes, transferindo o mesmo para criar novas amostras a partir de dados de pacientes saudáveis. Esta dissertação contribui para a área i) comparando diferentes modelos para predizer sinais sEMG de pacientes com Parkinson para antecipar padrões de tremor em repouso; ii) propondo a primeira abordagem baseada em Redes Adversariais Generativas Convolucionais Profundas (DCGANs) para gerar sinais de sEMG da doença de Parkinson; iii) aplicando a transferência de estilo (ST) para aumentar o conjunto de sinais sEMG de PPs a partir de dados disponíveis publicamente de indivíduos nãoPP; iv) propondo uma métrica para avaliar a caracterização do sinal de sEMG da doença de Parkinson. Os novos dados criados por nossos métodos podem validar abordagens de tratamento em diferentes cenários de movimento, contribuindo para o desenvolvimento de novas técnicas de supressão de tremor em pacientes.
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Immel, Sebastian R., Robin E. Kiff, Jessica L. Armstrong, and Robert B. Stone. "A Physical Hand Tremor Simulator for Use With Inclusive Design Research." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38246.
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Essential Tremor (ET) is the most common movement disorder among adults. This paper presents a device to induce the effects of ET in the wrists and hands of otherwise healthy research participants for use in inclusive design studies. The device, called “The HandShake,” reproduces the functional impairment of ET sufferers on design study participants. Existing solutions can require complex or expensive equipment. The HandShake uses a novel low-cost system based around a single RC servo. Users of the device in validation testing were found to be impaired in a manner similar to ET sufferers. This tool is intended to aid future inclusive design research regarding upper extremity disabilities. We present results regarding the validity of the simulated tremors versus data from those suffering with ET.
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Doughty, Timothy, Jordan Heintz, and Melissa Ishii. "Reducing Parkinsonian Hand Tremor With a Novel Dynamic Eating Utensil." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65282.
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The work presented here details the modeling, fabrication, testing, and analysis of a dynamic eating utensil designed to reduce hand tremors in subjects with Parkinson’s disease. Most of the current work addressing this problem has been invasive, using medicine or electrical brain stimulation for example. Here, an analysis is presented on the nature of the tremor. This is then used to develop a multi degree-of-freedom analytic model for the forearm/wrist/utensil system. Experiments were performed to identify model form and parameters and theory is presented which allowed for optimized system design. A physical model of the hand/wrist system was developed for testing utensil prototypes in controlled experiment. Ultimately iterative human subject testing validated the design decisions, providing both hard data and survey results to shape the final product. In addition to general performance, special consideration is given to the engineering design parameters and those established by the candidates for ease of use. Specifically, the device presented here outperforms its predecessors in cost, manufacturability, and usability. Additionally, an option for easy user tuning makes the device appropriate for a large host of tremor sufferers. Quantitative and qualitative results indicating the overall effectiveness are presented with the design.
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Ou, Che, Andrew Gouldstone, Beverly Kris Jaeger, and Rifat Sipahi. "Control Design for a Hand Tremor Suppression Pen." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9962.
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Active feedback control is utilized in this study in order to regulate pen-tip deviations in a novel pen design with the aim to minimize the effects of hand tremors on handwriting. The pen comprises a pendulum-like pen-rod that swings inside a tubular shaped pen casing, and between the pen and the casing, certain compliance and active actuation is considered. Since by the nature of the system dynamics, arbitrary pole placement is not possible in the design of the controller, a nonlinear optimization scheme is constructed to design the controller gains. With these gains, pen-tip deviations are minimized (≈ −47 dB) when the pen casing is subjected tremor-induced cyclic disturbances, and pen-tip response against impulsive perturbations is satisfactorily improved (settling time ≈ 1 sec) while keeping the controller effort around 2 N. Simulation studies are presented comparing the efficacy of the proposed controller with respect to a passively controlled pen, along with trade-offs within the design parameter space.
Reports on the topic "Tremore"
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Lasocki, Stanislaw. Identifying and Separating from a Sequence of Mine Tremors Series of Events Generated by a Single Process. Fort Belvoir, VA: Defense Technical Information Center, September 1996. http://dx.doi.org/10.21236/ada319142.
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Leet, R. C. Investigation of hydrothermal boiling and steam quenching as possible sources of volcanic tremor and geothermal ground noise. Office of Scientific and Technical Information (OSTI), May 1991. http://dx.doi.org/10.2172/5524334.
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Fu, Chengwei, Ziqiang Xia, Menghan Feng, Zhicheng Zhou, and Bo Liu. Comparative efficacy of noninvasive brain stimulation for the treatment of Parkinson disease: a systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2022. http://dx.doi.org/10.37766/inplasy2022.3.0151.
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Review question / Objective: A variety of noninvasive brain stimulation have been applied in patients with Parkinson disease, but it is still controversial which is the best. Condition being studied: Parkinson disease(PD) is a highly prevalent neurodegenerative disease characterized by tremor, bradykinesia, rigidity. Currently, a series of noninvasive brain stimulation(NIBS) have been developed for PD. Some meta-analysis has proved the efficacy of NIBS. However, it is still unclear which NIBS is best. Therefore, we will conduct the problem by network meta-analysis.
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Andrades, Oscar, David Ulloa, Dario Martinez, Francisco Guede, Gustava Muñoz, Luis Javier Chirosa, and Amador García. Effect of the manipulation of the variables that configure the stimulus of strength training on motor symptoms in people with Parkinson's disease: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0079.
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Review question / Objective: To analyze the evidence on studies that have manipulated the variables that make up the strength training stimulus and its effects on motor symptoms in people with Parkinson's disease. Condition being studied: Parkinson's is a multisystemic neurodegenerative disease that affects the central nervous system and is caused by a loss of dopaminergic neurons in the compact part of the substantia nigra of the basal ganglia of the midbrain. People with Parkinson's disease (PEP) have non-motor and motor clinical symptoms. Classic motor symptoms are rest tremor, joint stiffness, bradykinesia, decreased balance, gait disturbances (speed, temporality, spatiality, support, and freezing) and decreased functional performance.
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Wang, Xiao, Hong Shen, Yujie Liang, Yixin Wang, Meiqi Zhang, and Hongtao Ma. Effectiveness of Tango Intervention on Motor Symptoms in Patients with Parkinson's Disease: A Protocol for Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0009.
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Review question / Objective: Parkinson's disease (PD) is a degenerative neurological disease caused by the loss of dopaminergic neurons in the pars compacta of the substantia nigra of the brain, resulting in lesions in the basal ganglia. The main motor symptoms of PD include resting tremor, rigidity, akinesia or bradykinesia and postural instability. As an exercise intervention based on musical accompaniment, tango dance has shown positive effects on the rehabilitation of motor symptoms in PD patients in recently. In this study, we systematically reviewed the efficacy of tango intervention in alleviating the motor symptoms of patients with PD. Condition being studied: Parkinson. Information sources: The following electronic databases will be searched: PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science Core collection, and China National Knowledge Infrastructure Database (CNKI) and WanFang Database.
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Ni, Jiachun, Qiong Jiang, Gang Mao, Yi Yang, Qin Wei, Changcheng Hou, Xiangdong Yang, Wenbin Fan, and Zengjin Cai. The effectiveness and safety of acupuncture for constipation associated with Parkinson’s disease: Protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2022. http://dx.doi.org/10.37766/inplasy2022.2.0091.
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Review question / Objective: Is acupuncture a safe and effective therapy for constipation associated with Parkinson’s disease? Our aim is to assess the effectiveness and safety of acupuncture for constipation associated with PD and give guidance to future research direction. Condition being studied: Parkinson’s disease (PD) is a prevalent degenerative disease of nervous system characterized mainly by static tremor, bradykinesia, myotonia, postural gait disorders and other non-motor symptoms. According to variations on race, ethnicity, age and sex, the incidence of PD ranges from 8 to 20.5 per 100, 000 individuals annually. One global research shows that there were 6.1 million individuals suffer from PD in 2016 and will be 12 million patients around the world. According to several outcomes of case-control studies, the prevalence of constipation in PD varies from 28% to 61%. Constipation, as a common gastrointestinal disease which refers to the clinical presentation of reduced spontaneous complete bowel movement, dyschezia, feeling of incomplete defecation and outlet obstruction, is demonstrated to antedate the motor symptom and it's severity is related to the progression of PD. Acupuncture has been proved to act on the pathogenesis of constipation associated with PD. The proposed systematic review we're about to present is the first advanced evidence-based medical evidence in this area.
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