Parkinson's Disease Clinical Trial
The investigators plan to conduct a first-stage experiment by recruiting ten subjects,
including five PD patients and five non-PD patients. In the beginning, the information
collected by the portable motion detector is used to compare the difference in the
activities performed by PD and non-PD patients. Besides, the algorithm will be developed to
identify the gait patterns of PD patients. Once the system detects the abnormal gaits, such
as shuffling and festinating steps or freezing of gait, auditory cues will be given to the
PD patients and caregivers by their sides. It can help the patient to maintain normal gait
and improve the effectiveness of rehabilitation, as well as preventing falls in daily
activities. Moreover, in case of accident falls, the real-time fall detection mechanism
alerts the nearest caregiver for instant support and delivers this information to the remote
family members and medical personnel.
After that, a second-stage experiment will be carried out by recruiting another five PD
patients. By comparing the gait patterns identified by the system against those identified
manually by the staff, the performance of the proposed system on fall prevention will be
examined. For the patients and their family members, the developed system enhances the
patients' safety in their daily activities. As for the medical personnel, it serves as an
affordable tool that benefits the rehabilitation of PD patients in an easy manner.
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