Technologies for Assessment of Motor Disorders in Parkinson's Disease: A Review

  • Oung Q
  • Muthusamy H
  • Lee H
 et al. 
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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.

Author-supplied keywords

  • Parkinson Disease (PD)
  • Unified Parkinson Disease Rating Scale (UPDRS)
  • audio sensor
  • multimodal sensor
  • wearable sensor

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Authors

  • Qi Wei Oung

  • Hariharan Muthusamy

  • Hoi Leong Lee

  • Shafriza Nisha Basah

  • Sazali Yaacob

  • Mohamed Sarillee

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