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Rozprawy doktorskie na temat „PARKINSON'S DISEASE DETECTION”

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Data publikacji: 11 września 2023

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1

Saad, Ali. "Detection of Freezing of Gait in Parkinson's disease." Thesis, Le Havre, 2016. http://www.theses.fr/2016LEHA0029/document.

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Le risque de chute provoqué par le phénomène épisodique de ‘Freeze of Gait’ (FoG) est un symptôme commun de la maladie de Parkinson. Cette étude concerne la détection et le diagnostic des épisodes de FoG à l'aide d'un prototype multi-capteurs. La première contribution est l'introduction de nouveaux capteurs (télémètres et goniomètres) dans le dispositif de mesure pour la détection des épisodes de FoG. Nous montrons que l'information supplémentaire obtenue avec ces capteurs améliore les performances de la détection. La seconde contribution met œuvre un algorithme de détection basé sur des résea
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Chen, Lei [Verfasser]. "Computer-aided detection of Parkinson's Disease using transcranial sonography / Lei Chen." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2014. http://d-nb.info/1046712691/34.

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Taleb, Catherine. "Parkinson's desease detection by multimodal analysis combining handwriting and speech signals." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT039.

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La maladie de Parkinson (MP) est un trouble neurologique causé par une diminution du niveau de dopamine dans le cerveau. Cette maladie est caractérisée par des symptômes moteurs et non moteurs qui s'aggravent avec le temps. Aux stades avancés de la maladie de Parkinson, le diagnostic clinique est clair. Cependant, dans les premiers stades, lorsque les symptômes sont souvent incomplets ou subtils, le diagnostic devient difficile et, parfois, le sujet peut rester non diagnostiqué. En outre, il n'existe pas de méthodes efficaces et fiables permettant d'établir avec certitude un diagnostic précoce
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Jalloul, Nahed. "Development of a system of acquisition and movement analysis : application on Parkinson's disease." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S096/document.

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Le travail présenté dans ce mémoire porte sur le développement d'un système de surveillance ambulatoire pour la détection de la dyskinésie induite par la Levodopa (LID) chez les patients de la maladie de Parkinson (PD). Le système est composé d’unités de mesure inertielle (IMUs) qui recueillent des signaux de mouvement chez des sujets sains et des patients parkinsoniens. Des méthodes différentes sont évaluées pour la détection de LID avec et sans classification des activités. Les données recueillies auprès des sujets sains sont utilisées pour concevoir un classificateur d'activité fiable. Par
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F, Miraglia. "Development of molecular biosensors for the detection of alpha-synuclein aggregation in cells." Doctoral thesis, Università di Siena, 2020. http://hdl.handle.net/11365/1096217.

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Introduction: Parkinson’s Disease (PD) is the second most common neurodegenerative disorder, which affects more than 6 million people worldwide. PD is a progressive multiorgan proteinopathy, also called synucleinopathy, because of the abnormal neuronal accumulation of misfolded alpha-synuclein (αS), an intrinsically disorder protein (IDP) of 140 amino acids. αS is expressed ubiquitously in the cells and has been particularly found associated with membranes in the pre-synaptic terminal, suggesting a role in the regulation of vesicle trafficking, synaptic transmission and synaptic plasticity. En
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Takač, Boris. "Context-aware home monitoring system for Parkinson's disease patietns : ambient and werable sensing for freezing of gait detection." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/668652.

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Parkinson’s disease (PD). It is characterized by brief episodes of inability to step, or by extremely short steps that typically occur on gait initiation or on turning while walking. The consequences of FOG are aggravated mobility and higher affinity to falls, which have a direct effect on the quality of life of the individual. There does not exist completely effective pharmacological treatment for the FOG phenomena. However, external stimuli, such as lines on the floor or rhythmic sounds, can focus the attention of a person who experiences a FOG episode and help her initiate gait. The optimal
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Ruffmann, Claudio. "Detection of alpha-synuclein conformational variants from gastro-intestinal biopsy tissue as a potential biomarker for Parkinson's disease." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:3cddebda-aaf4-40c5-b026-9365aa16fdd7.

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Gastrointestinal (GI) alpha-synuclein (ASN) detection may represent a clinically useful biomarker of Parkinson's disease (PD), but this has been challenged by conflicting results of recent studies employing different immunohistochemical (IHC) methods and reporting diverse morphological patterns with variable biological interpretation. To increase sensitivity and specificity, we applied three different techniques to detect different possible conformations of ASN in GI tissue derived from biopsies of the GI tract, which were obtained from a longitudinally followed, clinically well-characterized
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8

Hu, Kun. "Fine-grained Human Action Recognition for Freezing of Gait Detection." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27286.

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Freezing of gait (FoG) presents as a sudden and brief episode of movement cessation despite the intention to continue walking. As a common symptom of Parkinson's Disease, early detection and quantification of FoG are of great importance in clinical practice. Therefore, this thesis focuses on vision-based and pressure-based FoG detection methods, which were seldom investigated in the past. The task can be treated as a human action recognition problem. Although various deep architectures have achieved encouraging performance for general action recognition, FoG events contain fine-grained pattern
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Ahlrichs, Claas [Verfasser], Michael [Akademischer Betreuer] Lawo, and Albert [Akademischer Betreuer] Samà. "Development and Evaluation of AI-based Parkinson's Disease Related Motor Symptom Detection Algorithms / Claas Ahlrichs. Gutachter: Michael Lawo ; Albert Samà. Betreuer: Michael Lawo." Bremen : Staats- und Universitätsbibliothek Bremen, 2015. http://d-nb.info/1075609321/34.

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10

Mohammadian, Rad Nastaran. "Deep Learning for Abnormal Movement Detection using Wearable Sensors: Case Studies on Stereotypical Motor Movements in Autism and Freezing of Gait in Parkinson's Disease." Doctoral thesis, Università degli studi di Trento, 2019. https://hdl.handle.net/11572/368163.

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Inertial measurement sensing technology with the capability of capturing disease-relevant data has a great potential for improving the current clinical assessments and enhancing the quality of life in patients with neuro-developmental and neuro-degenerative diseases such as autism spectrum disorders (ASD) and Parkinson's disease (PD). The current clinical assessments can be improved by developing objective tools for the disease diagnosis and continuous monitoring of patients in out of clinical settings. To this end, it is necessary to develop automatic abnormal movement detection methods with
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Mohammadian, Rad Nastaran. "Deep Learning for Abnormal Movement Detection using Wearable Sensors: Case Studies on Stereotypical Motor Movements in Autism and Freezing of Gait in Parkinson's Disease." Doctoral thesis, University of Trento, 2019. http://eprints-phd.biblio.unitn.it/3682/1/PhD-Thesis.pdf.

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Inertial measurement sensing technology with the capability of capturing disease-relevant data has a great potential for improving the current clinical assessments and enhancing the quality of life in patients with neuro-developmental and neuro-degenerative diseases such as autism spectrum disorders (ASD) and Parkinson's disease (PD). The current clinical assessments can be improved by developing objective tools for the disease diagnosis and continuous monitoring of patients in out of clinical settings. To this end, it is necessary to develop automatic abnormal movement detection methods with
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12

Munder, Tonia [Verfasser]. "Investigation of early histopathological changes in rodent models of Alzheimer's Disease, Parkinson's Disease and CADASIL : brain magnet resonance elastography for early disease detection and staging correlated to histopathology and analysis of neurogenesis and cell survival / Tonia Munder." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2018. http://d-nb.info/1160514887/34.

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Munder, Tonia Laura [Verfasser]. "Investigation of early histopathological changes in rodent models of Alzheimer's Disease, Parkinson's Disease and CADASIL : brain magnet resonance elastography for early disease detection and staging correlated to histopathology and analysis of neurogenesis and cell survival / Tonia Munder." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2018. http://d-nb.info/1160514887/34.

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14

Inam-ul-Haq and Adnan Jalil. "Real-Time Gait Analysis Algorithm for Patient Activity Detection to Understand and Respond to the Movements." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2004.

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Context: Most of the patients suffering from any neurological disorder pose ambulatory disturbance at any stage of disease which may result in falling without showing any warning sign and every patient is different from another. So there is a need to develop a mechanism to detect shaky motion. Objectives: The major objectives are: (i) To check different gait parameters in walking disorders using Shimmer platform (R). (ii) Wearing SHIMMER wireless sensors on hip, waist and chest, to check which one is the most suitable. (iii) To draw effective conclusion/results based on calibrated data in real
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15

Saghafi, Abolfazl. "Real-time Classification of Biomedical Signals, Parkinson’s Analytical Model". Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6946.

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The reach of technological innovation continues to grow, changing all industries as it evolves. In healthcare, technology is increasingly playing a role in almost all processes, from patient registration to data monitoring, from lab tests to self-care tools. The increase in the amount and diversity of generated clinical data requires development of new technologies and procedures capable of integrating and analyzing the BIG generated information as well as providing support in their interpretation. To that extent, this dissertation focuses on the analysis and processing of biomedical signals,
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16

Yapo, Cédric. "Adaptations de la cascade de signalisation AMPc/PKA dans le striatum au cours de la maladie de Parkinson et de son traitement par la L-DOPA : étude par imagerie de biosenseurs sur un modèle animal Detection of phasis dopamine by D1 and D2 striatal medium spiny neurons Switch-like PKA responses in the nucleus of striatal neuron." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS603.

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Les signaux neuromodulateurs induisent une adaptation des fonctions neuronales par le biais de mécanismes d’intégration dynamiques complexes. Parmi les voies de signalisation intracellulaires, celle de l’AMPc/PKA joue un rôle essentiel dans la réponse cellulaire à la dopamine. Pour analyser ces processus d’intégration, nous combinons l’imagerie de biosenseurs dans des préparations ​ex vivo de tranches de cerveau de souris avec de la modélisation de la signalisation intracellulaire dans les neurones D1 et D2 striataux. Dans une première partie de mon travail de thèse, nous analysons l
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17

Wolz, Martin, Antje Hähner, Linda Meixner, et al. "Accurate Detection of Parkinson’s Disease in Tremor Syndromes Using Olfactory Testing." Karger, 2014. https://tud.qucosa.de/id/qucosa%3A70557.

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Background/Aims: The diagnostic value of olfactory testing for the discrimination of tremor-dominant Parkinson’s disease (PD) from other tremor disorders remains enigmatic. We evaluated whether olfactory testing can accurately detect PD in tremor patients. Methods: A retrospective analysis of 299 consecutive subjects referred for the differential diagnosis of a tremor disorder was done. Olfactory testing was performed using ‘Sniffin’ Sticks’, resulting in a composite TDI score of odor threshold (T), discrimination (D), and identification (I). Receiver operating curve (ROC) plots were used to
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18

Khan, Ali Asad. "Detecting freezing of gait in Parkinson's disease for automatic application of rhythmic auditory stimuli." Thesis, University of Reading, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629094.

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Freezing of Gait (FOG) is a neuro-motor symptom associated with Parkinson's disease (PD), which is suitably managed by Rhythmic Auditory Stimulation (RAS) and music therapy, if applied upon or prior to symptom onset. This stipulates an objective measurement of gait to automatically detect FOG. This research has improved on existing methods for automatic detection of freeze states using vertical acceleration of the leg. Accordingly, a method was devised, implemented and evaluated with the DAPHNet Freezing of Gait dataset. The proposed method is based on Discrete Wavelet Transform (DWT) for feat
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19

Isaksson, Amanda. "Optimization of PCR protocols used for genotyping transgenic mice & Evaluation of a method for co-detecting mRNA and protein." Thesis, Uppsala universitet, Jämförande fysiologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-326540.

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The aim of the current study was divided into two separate goals, (i) optimization of a number of PCR-based protocols employed for genotyping transgenic mouse lines and (ii) evaluating a protocol for co-detection of mRNA and its correlated protein in the mouse midbrain. The optimization was performed on PCR protocols for genotyping the following transgenic mouse lines; Dat-Cre, Vglut2-Lox, Vglut2-Cre and Vmat2-Lox. Also, two different polymerases were evaluated parallel to each other – KAPA and Maxima Hot Start. One of the main findings from the PCR optimizations were that for the Vglut2-Lox p
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Thanellas, Antonios-Constantine. "Detection of Parkinson's disease from MR images." Master's thesis, 2008. http://nemertes.lis.upatras.gr/jspui/handle/10889/798.

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The scope of this thesis is to process and analyze statistically Magnetic Resonance Images (MR-T1) from Parkinson’s disease patients in order to detect brain areas that exhibit brain change which is caused by the disease. Parkinson’s disease is an idiopathic disease which means that its cause is yet unknown. It is a chronic neurodegenerative disorder of the central nervous system which causes the progressive death of specific brain neurons that leads to motor impairments (tremor, bradykinesia, muscle rigidity) and non motor ones (cognitive, sleep, sensation disturbances). Magnetic Resona
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Sousa, Susana Perdigão de. "Real-time detection of FOG episodes in patients with Parkinson's Disease." Master's thesis, 2018. https://repositorio-aberto.up.pt/handle/10216/112803.

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Sousa, Susana Perdigão de. "Real-time detection of FOG episodes in patients with Parkinson's Disease." Dissertação, 2018. https://repositorio-aberto.up.pt/handle/10216/112803.

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KELLER, AISHWARYA. "HYBRID RESAMPLING AND XGBOOST PREDICTION MODEL USING PATIENT'S INFORMATION AND DRAWING AS FEATURES FOR PARKINSON'S DISEASE DETECTION." Thesis, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19442.

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In the list of most commonly occurring neurodegenerative disorders, Parkinson’s disease ranks second while Alzheimer’s disease tops the list. It has no definite examination for an exact diagnosis. It has been observed that the handwriting of an individual suffering from Parkinson's disease deteriorates considerably. Therefore, many computer vision and micrography-based methods have been used by researchers to explore handwriting as a detection parameter. Yet, these methods suffer from two major drawbacks, i.e., the prediction model's biasedness due to the imbalance in the data an
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Yang, Jen-Lin, and 楊仁鄰. "Evaluation of Acupuncture Effects in Mice Mode and Tremor Detection in Patients with its Clinical Application in Parkinson's Disease." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/88588132598512332578.

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博士<br>國立陽明大學<br>傳統醫藥研究所<br>101<br>Background/aim: The diagnosis and treatment of Parkison’s disease remains a challenging problem. The aim of this study was to investigate the role of retained acupuncture (RA) in neurotoxin-induced Parkinson’s disease (PD) mice and to correlate hand tremors analyzed by a non-invasive method with clinical manifestation among PD patients. Method: In animal study, male C57BL/6 mice were injected with 1-methyl-4-phenyl-1,2,3,6- tetrahydropyridine (MPTP) to induce the PD model. The mice were divided into four groups, namely, ( 1) normal; (2) MPTP + retained acupun
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Wu, Wen Shao, and 吳文韶. "The development of tilting sensing and gait analysis techniques and their application on movement disorder symptom detection for Parkinson's Disease patients." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/55098176063942289935.

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碩士<br>長庚大學<br>電機工程學系<br>102<br>With aging society coming, there are more and more elderly people having the aging-related chronic diseases, such as Parkinson’s, and Alzheimer’s diseases. In this study, a time-less linear transformation method is proposed to obtain tilting angles from single axis accelerometer data. By wearing the previous designed posture monitor vest and with the proposed algorithm implemented, this wearable system can detect the forward-flexed posture which is frequently seen in the early symptom of Parkinson’s disease, the festination. Detection of this posture is the neces
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Lai, Ching-Ju, and 賴靖如. "Voice Feature Based Parkinson’s Disease Detection." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/83586431714308179506.

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碩士<br>國立中興大學<br>資訊管理學系所<br>105<br>Parkinson&apos;&apos;s disease is second to Alzheimer disease, one of the slowest degenerative diseases known to affect us. Approximately 6.2 million people globally are battling this disease, and every 147.7 people in 100 thousand Taiwanese will be affected by it. Although people in their middle ages or elderly people are more likely to manifest this disease, it does seem that nowadays even young people can contract it. This is known medically as Early Onset Parkinsonism. It is caused by the deterioration of melanin generated by substantia nigra pars comp
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Prashanth, R. "Computer-aded early detection of parkinson`s disease through multimodal data analysis." Thesis, 2015. http://localhost:8080/xmlui/handle/12345678/6910.

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Hsiao, Chih-Wen, and 蕭至紋. "Probabilistic cost-effectiveness analysis for early detection of Parkinson''s disease." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/70581723336290293867.

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碩士<br>國立臺灣大學<br>流行病學與預防醫學研究所<br>99<br>Background: Parkinson&apos;&apos;s disease (PD) is the second most common neurodegenerative disease in Taiwan. A total of 85,510 patients suffered from PD have been under treated in 2008 in Taiwan. It has been showed that screening for early PD can lead to 51% reduction for late stage of PD, and 25% mortality reduction. Thus, early detection could relieve medical burden from PD for patients themselves, the family members, and even for society. However, the cost-effectiveness of PD screening was never addressed. The aim of this thesis was to evaluate the co
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Wang, Rong-Long, and 王榮龍. "Development of cane aiding devices for Parkinson’s disease patient with adjustable distance and fall detection functions." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/7ewnkh.

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碩士<br>國立臺北科技大學<br>機電整合研究所<br>101<br>The purpose of this study is to design a system and cueing function aiding devices equipment especially for the Parkinson’s disease patients. Symptoms of this disease are shaking and difficulty with walking which affects the sufferers’ daily living functions. When a senior PD patient falls down, it is very important to warn of his relatives quickly and efficiently. However, there are various types of mobility aids on the market that can be chosen for the senior PD patients to improve the mobility with their mobility impairment. For the convenience and portab
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Williams, S., H. Fang, J. Alty, Rami S. R. Qahwaji, P. Patel, and C. D. Graham. "A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker?" 2018. http://hdl.handle.net/10454/16891.

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no<br>There are a wide variety of ways to objectively detect neurological signs, but these either require special hard-ware (such as wearable technology) or patient behaviour change (such as engagement with smartphone tasks) [2]. Neither constraint applies to the technology of computer vision, which is the processing of single or multiple camera images by computer to automatically derive useful information. The only equipment involved is ubiquitous: camera and computer.We report a computer vision-enhanced video sequence from a 68-year-old man, diagnosed with idiopathic Parkinson’s disease 2 ye
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YEH, CHIA-HAO, and 葉家豪. "Gait detection for stair ascending and descending of patient with Parkinson’s disease based on inertial motion capture system." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/y8tja8.

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碩士<br>國立臺北科技大學<br>電機工程系<br>107<br>As Taiwan has become an aging society, the number of patients suffering from Parkinson’s disease (PD) is about hundred thousand people. PD patients often have problems such as gait instability, which made walking more difficult than the normal persons. It is even more difficult when ascending and descending stairs. In order to help the patient’s reconstruction process effectively and enable clinicians and researchers to monitor and track patients, it is necessary to provide quantified patient rehabilitation data. This study proposes a system based on inertial
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