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This paper reviews related work and state-of-the-ar ...
This paper reviews related work and state-of-the-ar
t publications for recognizing motor symptoms of
Parkinson's Disease (PD). It presents research effo
rts that were undertaken to inform on how well
traditional machine learning algorithms can handle
this task. In particular, four PD related motor
symptoms are highlighted (i.e. tremor, bradykinesia
, freezing of gait and dyskinesia) and their detail
summarized. Thus the primary objective of this rese
arch is to provide a literary foundation for develo
and improvement of algorithms for detecting PD rela
ted motor symptoms.