Dissertations / Theses on the topic 'Hand motor control'
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Smith, Rebekah Gayle. "Muscle pain does not affect motor control of the human hand /." Title page and abstract only, 2004. http://web4.library.adelaide.edu.au/theses/09SB/09sbs6421.pdf.
Full textDOTTOR, ALBERTO. "MOTOR CONTROL OF THUMB-INDEX SYSTEM IN HEALTHY POPULATION." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1057767.
Full textMcIsaac, Tara. "Neural Mechanisms Underlying Muscle Synergies Involved in the Control of the Human Hand." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/194019.
Full textRomero, Veronica C. "Is Joint Action Synergistic?A Study of the Stabilization of Interpersonal Hand Coordination." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821563.
Full textThaler, Lore. "A Representation Based Approach To Visually Guided Motor Behavior." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211929634.
Full textVIGANO', LUCA. "DIRECT ELECTRICAL STIMULATION OF PRIMARY MOTOR AND FRONTAL PREMOTOR REGIONS: MAPPING AND PRESERVING NETWORKS FOR HAND MOTOR CONTROL DURING BRAIN TUMOUR RESECTION." Doctoral thesis, Università degli Studi di Milano, 2020. http://hdl.handle.net/2434/707523.
Full textLinder-Aronson, Philip, and Simon Stenberg. "Exo-Controlled Biomimetic Robotic Hand : A design solution for control of a robotic hand with an exoskeleton." Thesis, KTH, Mekatronik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295846.
Full textRobotarmar och händer finns många former och storlekar, de kan vara för allmänna ändamål eller uppgiftsspecifika. De kan programmeras av en dator eller styras av en mänsklig operatör. Det finns en viss typ av robothänder som försöker efterlikna formen, rörelsen och funktionen hos den mänskliga handen, och brukar kallas biomimetisk robotik. Detta projekt utforskar interaktionen mellan människa och robot genom att skapa en antropomorf robothand med tillhörande exoskelett. Handen, som består av en 3D-printad kropp och fingrar, är ansluten till en underarm där servormotorerna som styr fingrarna sitter. Exoskelettet ansluts till operatörens hand vilket möjliggör spårning av fingrarnas rörelse genom ett antal potentiometrar. Detta tillåter operatören att intuitivt styra en robothand med en viss grad av precision. Vi valde att besvara ett antal forskningsfrågor med avseende på form och funktion av en biomimetisk hand och exoskelettet. Under projektets gång påträffades en mängd problem såsom budgetproblem som resulterade i att bara hälften av fingrarna kan kontrolleras. Trots detta fick vi bra resultat från de fungerande fingrarna och våra forskningsfrågor kunde besvaras.
Pinches, Elizabeth Margery. "The contribution of population activity in motor cortex to the control of skilled hand movement in the primate." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391516.
Full textMaster, Sabah. "Motor Control and Perception during Haptic Sensing: Effects of Varying Attentional Demand, Stimuli and Age." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23548.
Full textHäger, Ross Charlotte. "To grip and not to slip : sensorimotor mechanisms in reactive control of grasp stability." Doctoral thesis, Umeå universitet, Fysiologi, 1995. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-110676.
Full textDiss. (sammanfattning) Umeå : Umeå universitet, 1995, Härtill 5 uppsatser
digitalisering@umu
Svensson, Elisabeth. "Hand function in children and in persons with neurological disorders : aspects of movement control and evaluation of measurements." Doctoral thesis, Umeå : Department of Community Medicine and Rehabilitation, Physiotherapy, Umeå University, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-22042.
Full textLebel, Cynthia. "Optical Brain Imaging of Motor Cortex to Decode Movement Direction using Cross-Correlation Analysis." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1609111/.
Full textBrundin, Malin. "The rubber hand illusion effectiveness on body ownership induced by self-produced movements : A Meta-Analysis." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18591.
Full textKincaid, Clay Jordan. "The Feasibility of Using a Markerless Motion Capture Sensor (Leap MotionTM Controller) forQuantitative Motor Assessment Intended for a Clinical Setting." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6262.
Full textDimitriou, Michael. "Discharges in human muscle afferents during manual tasks." Doctoral thesis, Umeå universitet, Integrativ medicinsk biologi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1961.
Full textMathew, James. "Etude des mécanismes prédictifs sous-jacents à la coordination œil-main." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0329/document.
Full textThe ability to coordinate efficiently eye and hand actions is central for humans in everyday activities. Furthermore it is argued that the ability to predict the sensory consequences of self-initiated movements is crucial for skilled motor behavior. Here by means of a task in which participants were asked to track with the eyes a visual target that was moved by their hand, we investigated the predictive mechanisms underlying eye-hand coordination. In a first study, using a protocol in which participants had to adapt to rotated hand visual feedback, we show that these predictive mechanisms can be updated independently of the ability to perform accurate hand movements. In a follow up study we tested the effect of hand dominance, and showed that, despite obvious differences in the accuracy of hand movement control, the ability to predict visual consequences of right and left hand actions was similar. Finally, by means of transcranial magnetic stimulation, we tested the hypothesis that those predictive mechanisms rely on hand efferent signals from the primary motor cortex (M1). However our results failed to support this view, and instead suggest that if such a contribution exists, it must be upstream of M1. Overall, we propose that eye-hand coordination relies on similar predictive mechanisms for both hands, possibly located upstream of M1, which can be updated independently of hand movement control
Zoghi, Maryam. "Intracortical inhibition and motor cortical control of intrinsic hand muscles." 2004. http://hdl.handle.net/2440/37951.
Full textThesis (Ph.D.)--School of Molecular and Biochemical Science, 2004.
Yungher, Don. "Rehabilitation and kinesiological analysis of motor control in grasp." 2010. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052169.
Full textBowman, MILES. "Coordinating the eyes and hand in goal-directed movement sequences." Thesis, 2009. http://hdl.handle.net/1974/5317.
Full textThesis (Ph.D, Neuroscience Studies) -- Queen's University, 2009-11-13 16:12:30.086
"Sensory-Motor Integration for Control of Digit Position in Grasping and Manipulation." Doctoral diss., 2014. http://hdl.handle.net/2286/R.I.25820.
Full textDissertation/Thesis
Doctoral Dissertation Kinesiology 2014
van, Mook Hannah. "On the cognitive control of hand actions for lifting and using an object." Thesis, 2017. http://hdl.handle.net/1828/8024.
Full textGraduate
0633
hvanmook@uvic.ca
Chang, Chih-zen, and 張智仁. "Development of the Human Hand Motor Control Assessment and Continuous Passive Motion Rehabilitation Training System." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/96972116542116102792.
Full text長庚大學
機械工程研究所
88
Impairment of volitional motor activity is common after stroke, head injury, spinal cord injury and other conditions of upper motor neuron dysfunction. This finding is particularly relevant in stroke patients who have achieved substantial recovery of speech and gait, but volitional motor activity of the hand remained incomplete or absent. Therefore, the evaluation and training of the hand motor control functions become an important part of the rehabilitation therapy for these patients. In view of the above, this study is made aimed at the clinical needs of the upper motor neuropathy patients by combining the efforts of doctors, rehabilitation therapists and engineers and by integrating the sensors, computerized images, feedback controls and computer technologies for developing and pioneering a human hand motor control assessment and training system as well as a hand continuous passive motion rehabilitation training system for the patients. This study will be proceeded by dividing it into three parts, the first part was using the 5DT gloves available in the market and combining which with the hardware units of hand/palm pressure measurement module, digit hand-writing pad module and biofeedback hand dexterity assessment, training module, etc. to design and develop a hand motor control assessment and training system, whose functions include: articulation activity real time measurement and display, hand/palm pressure measurement, virtual 3D palm interaction display, hand-writing performance evaluation, etc.; the second part was to design a hand continuous passive motion (CPM) mechanical glove, which has 5 tendon driven fingers, each has a 2 degree of freedom. With the aid of interacting windows and post-treatment database, the goal of continuous passive motion and functional movement training can then be achieved. While the third part was using the hand motor control assessment and training system developed in to use to carry out clinical evaluations and experiments on hand motor control functions for 13 normal individuals and 26 patients with focal dystonia (such as patients with writer''s cramp). Tests were conducted in 2 modes of: writing without wearing the glove, writing by wearing the glove with hand/palm pressure sensors. The main evaluation items included as follows : the hesitation time during writing, the number of letters written, the delay time for starting writing, the contact pressure of hand against paper during writing, the contact pressure of hand against pen during writing. The experimental were analyzed. The results showed apparent differences between normal subject and patients with writing contraction disease, for example, the average hesitation time per letter of the patient group was 3.5 times longer than that of the normal subject group, the delay time for starting writing of the former group was 2.25 times as longer as that of the latter, moreover, the pen/paper contact pressures of the former were 1.43 times higher than those of the latter. With the accomplishment of this study, the developed hand motor control assessment and continuous passive motion rehabilitation training system not only can be immediately provided for evaluation and rehabilitation training by the clinical physicians for patients with hand motor control function disorders, but also can be synchronously used to collect physical signals (such as articulation activity degrees, finger/palm pressures, etc.) of the patients during the course of rehabilitation training. Quantitative index introduces in this study may be used for evaluating the therapeutic effects of the palm motor control functions of the patients. Besides, the prototype of the pioneered system should have the potential of applying for patent, and the design conception, software/hardware of the developed system can be transferred to the relevant medical industries in order to inspire the interest of people in researching, developing and manufacturing high-tech rehabilitation treatment apparatus, thus promote the upgrading of domestic medical care industry.
"Cortical Sensorimotor Mechanisms for Neural Control of Skilled Manipulation." Doctoral diss., 2017. http://hdl.handle.net/2286/R.I.46230.
Full textDissertation/Thesis
Doctoral Dissertation Neuroscience 2017
Hsin-Chin, Chen, and 陳信誌. "Clinical Assessment of Hand Writing , Shoulder/Elbow Motor Control Function for Upper Motor Neuron Dysfunction Patients and Development of a Rehabilitation Robotic Arm for Upper Extremity Motor Learning." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/69320938591967511117.
Full text長庚大學
機械工程研究所
90
Patients with writer’s cramp or upper motorneuron disease (ex. Parkinson’s disease, stroke, and other brain injuries) often have difficulty in processing upper arm movement because of involuntary muscle contraction or neuron regression. This often results in trembling of the involved extremity. Most patients , still experience palm/arm movement obstacles even after treatment/surgery. Therefore, clinical evaluation and rehabilitation training for writing with a pen and arm movement are important parts of the postoperative management.. In this research , clinical testing and quantitative evaluation of the writing function of the patients was done. A series of robotic manipulators for arm movement assessment and rehabilitation was designed and its applications were tested quantitatively and diagrammatically. In the first part of this research , an evaluation system was developed which aimed to quantitatively measure the patients’ arm function using four parameters : the contact pressure between paper and pen, the time delay before start of writing, the hesitation time spent between words, and the total written words in a given time. An evaluation standard for quantitative writing was set-up, clinical testing and subsequent statistical analysis of the results was done. A total of 26 patients and 13 control subjects were studied. The results were analyzed using the SPSS statistical software and showed that t test values of the four estimation parameters were all less than 0.05. This means that there was a significant difference between the evaluation parameters of the patients and normal control subjects. These results can provide a reference for clinicians when diagnosing patients. The second part of the research was aimed to decrease the time and energy spent by therapists who usually have to repeatedly say or demonstrate the correct motions for arm rehabilitation. A mechanical device was designed to manipulate the arm movement and provide the patient with a continuous passive rehabilitation. The machine used was a SCARA type robotic manipulator with four degrees of freedom. This was connected to a computer with a software based on Windows 2000 and Visual Basic 6.0. Also designed for this project to adjust the rehabilitation parameters (i.e. velocity, circle/ellipse movement locus size, etc.). This set up enables the doctor or therapist to choose the proper rehabilitation parameters and patterns for patients who will undergo a continuous upper arm continuous passive rehabilitation. The third part of the research was aimed to consolidate the mechanical 3-D Digitizer already existing in the market and the interface software we developed into a manipulator for the evaluation of upper arm movement function in order to improve the defects noted during initial rehabilitation. This would also provide diagrammatic (arm movement locus radial error, distribution diagram) and quantitative (radial error of normal value, radial error of absolute value, average drawing circle rate, etc.) evaluation indicators and clinical test standards. This consolidated robotic manipulator was further tested on 11 stroke paralysis patients, 5 normal elders, and 6 normal youths. The results showed that there was a significant difference between the three test groups. From the quantitative evaluation indicators, it is shown that the radial error of absolute value was 2 to 3 times more among the stroke patients compared to that of the normal elders, and 3 to 4 times more compared to that of the normal youths. From the diagrammatic evaluation indicators, we found that in the arm movement locus radial error distribution diagram, stroke paralysis patient had the widest area of radial error of absolute value compared to the rest. The error value was about 4 to 9 times more than the normal elder group and 9 to 16 times more than the normal youth group. This objectively result shows that the stroke patients had more serious functional defects. These results can provide a reference for clinicians in the diagnosis of functional defects of patients. The hand writing function evaluation system for using a pen and the manipulator for the assessment of arm function will be able to provide assistance to the clinician as new tools to evaluate patients’ palm/arm motor function. The robotic manipulator can be used for the postoperative rehabilitation the training of the patient. The standards and quantitative evaluation indicators developed in this research can be used as new tool and methods of the treatment for upper motorneuron or palm/arm movement dysfunction patients.
Yang, Fang. "Components of reaching and grasping an object may emerge following a single minimization process." Thèse, 2008. http://hdl.handle.net/1866/8201.
Full textANCILLAO, ANDREA. "Stereophotogrammetry in human movement analysis: novel methods for the quality assurance, biomechanical analysis and clinical interpretation of gait analysis." Doctoral thesis, 2017. http://hdl.handle.net/11573/938022.
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