Title :
Use of technological tools for Parkinson´s disease early detection: A review
Author :
Oung, Q.W. ; Hariharan, M. ; Basah, S.N. ; Yaacob, S. ; Sarillee, M. ; Lee, H.L.
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis (UniMAP), Arau, Malaysia
Abstract :
Over the past fifteen years, quantitative monitoring of human motor control and movement disorders has been an emerging field of research. Recent studies state the fact that Malaysia has been experiencing improved health, longer life expectancy, and low mortality as well as declining fertility like other developing countries. As the population grows older, the prevalence of neurodegenerative diseases also increases exponentially. Parkinson disease (PD) is one of the most common chronic progressive neurodegenerative diseases that are related to movement disorders. After years of research and development solutions for detecting and assessing the symptoms severity in PD are quite limited. With current ongoing advance development sensor technology, development of various uni-modal approaches: technological tools to quantify PD symptom severity had drawn significance attention worldwide. The objective of this review is to compare some available technological tools for monitoring the severity of motor fluctuations in patients with Parkinson (PWP).
Keywords :
biomechanics; biomedical equipment; diseases; fluctuations; geriatrics; medical disorders; neurophysiology; patient diagnosis; patient monitoring; research and development; reviews; technology; PD symptom severity detection; PD symptom severity quantification; chronic progressive neurodegenerative disease; declining fertility; early Parkinson disease detection; health; human motor control monitoring; life expectancy; mortality; motor fluctuation severity monitoring; movement disorder monitoring; neurodegenerative disease prevalence; quantitative monitoring; research and development solution; review; sensor technology; technological tool; uni-modal approach; Discrete Fourier transforms; Discrete wavelet transforms; Electromyography; Fluctuations; Monitoring; Noise; Support vector machines; Parkinson´s disease (PD); Technological Tools; electroencephalogram (EEG); electromyogram (EMG); wearable sensors;
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-5685-2
DOI :
10.1109/ICCSCE.2014.7072742