Background: Patients with severe idiopathic Parkinson's disease experience motor
fluctuations, which are often difficult to control. Accurate mapping of such motor fluctuations
could help improve patients' treatment. Objective: The objective of the study was to focus on
developing and validating an automatic detector of motor fluctuations. The device is small,
wearable, and detects the motor phase while the patients walk in their daily activities.
Methods: Algorithms for detection of motor fluctuations were developed on the basis of …