Quantification of parkinsonian tremor, bradykinesia and rigidity using the PowerGlove in combination with a force sensor

Vos, M.C.P.M. (2015) Quantification of parkinsonian tremor, bradykinesia and rigidity using the PowerGlove in combination with a force sensor.

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Abstract:Introduction: The quantification of Parkinson’s disease motor symptoms is highly subjective using the clinical score for severity (UPDRS). A system that is able to objectively quantificate the hand motor symptoms could improve the diagnosis and therapy of Parkinson’s disease. Objective: The aim of this study to evaluate whether the PowerGlove system in combination with a force sensor is a valid and reliable system in measuring different degrees of severity in hand motor symptoms in patients with Parkinson’s disease. Methods: The severity of the Parkinson’s symptoms were measured with the complete UPDRS in the off- and on-medication state by rater B. In the off-medication state, the PowerGlove measurements took place three times, instructed twice by rater A and once by rater B, in which the patient performed tremor, bradykinesia and rigidity tasks. In the on-medication state the measurement was once performed and was instructed by rater A. Quantitative parameters included are peak power and total power in the tremor band, root mean square (RMS) of the acceleration, RMS of the angular velocity and maximal tremor amplitude for quantification of tremor. For bradykinesia, the RMS of the acceleration and the RMS of the angular velocity were analysed as well and the amplitude of movement, movement time and number of stops were studied. For rigidity, the torque at 30 and 60 degrees extension, maximal range of motion, impedance, stiffness and viscous damping constant were studied. Results: Significant differences between the off- and on-medication state were found for the RMS of the angular velocity for all bradykinesia tasks, as well as for the RMS of the acceleration and standard deviation of the movement time for the pro-and supination task and the movement time for the closing task. For the rigidity task, significant difference between off- and on-medication state were found for the torque, range of motion, impedance and viscous damping constant. Furthermore, significant relations were found between the all tremor parameters and the UPDRS scores for resting tremor. High reliability was found for the RMS of the acceleration and for the RMS of the angular velocity for the tremor tasks and for the RMS of the angular velocity for the bradykinesia tasks. For Rigidity, high intrarater reliability was found for the torque, range of motion, impedance and viscous damping constant. All tremor parameters showed high intra-rater reliability in measuring resting tremor. Conclusion: Results of this study suggest that quantification of the hand motor symptoms of Parkinson’s disease is possible with the use of the PowerGlove system in combination with a force sensor. Further research is needed to evaluate the use of the PowerGlove system in measuring tremor.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:44 medicine, 50 technical science in general
Programme:Biomedical Engineering MSc (66226)
Link to this item:http://purl.utwente.nl/essays/68089
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