Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/12673
metadata.conference.dc.title: Technologies for Assessment of Motor Disorders in Parkinson’s Disease: A Review
metadata.conference.dc.contributor.*: Qi Wei Oung
Hariharan Muthusamy
Hoi Leong Lee
Shafriza Nisha Basah
Sazali Yaacob
Mohamed Sarillee
Chia Hau Lee
metadata.conference.dc.subject: Parkinson Disease (PD)
wearable sensor
audio sensor
multimodal sensor
Unified Parkinson Disease Rating Scale (UPDSR)
metadata.conference.dc.date.issued: Aug-2015
metadata.conference.dc.publisher: Multidisciplinary Digital Publishing Institute (MDPI)
metadata.conference.dc.identifier.citation: Oung, Qi Wei, Hariharan Muthusamy, Hoi Leong Lee, Shafriza Nisha Basah, Sazali Yaacob, Mohamed Sarillee, and Chia Hau Lee. 2015. Technologies for Assessment of Motor Disorders in Parkinson’s Disease: A Review. Sensors. Vol. 15. doi:10.3390/s150921710.
metadata.conference.dc.description.abstract: Parkinson’s Disease (PD) is characterized as the commonest neurodegenerative illness that gradually degenerates the central nervous system. The goal of this review is to come out with a summary of the recent progress of numerous forms of sensors and systems that are related to diagnosis of PD in the past decades. The paper reviews the substantial researches on the application of technological tools (objective techniques) in the PD field applying different types of sensors proposed by previous researchers. In addition, this also includes the use of clinical tools (subjective techniques) for PD assessments, for instance, patient self-reports, patient diaries and the international gold standard reference scale, Unified Parkinson Disease Rating Scale (UPDRS). Comparative studies and critical descriptions of these approaches have been highlighted in this paper, giving an insight on the current state of the art. It is followed by explaining the merits of the multiple sensor fusion platform compared to single sensor platform for better monitoring progression of PD, and ends with thoughts about the future direction towards the need of multimodal sensor integration platform for the assessment of PD.
metadata.conference.dc.description: This article index by Scopus. Sazali Yaacob (UniKL MSI)
metadata.conference.dc.identifier.uri: http://www.mdpi.com/1424-8220/15/9/21710
http://ir.unikl.edu.my/jspui/handle/123456789/12673
metadata.conference.dc.identifier.issn: 1424-8220
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