Objective: To develop methods for analyzes and monitor of  gait data via smart device system and identify new phenotypical characteristics in PD patients.

Background: Parkinson’s disease (PD) and essential tremor are two of the most common movement disorders and are still associated with high rates of misdiagnosis. New smart device system (SDS) together with smartphone applications are being examined and tested for their potential to monitor and manage patients with PD.  A new wearable technology that constantly detects mobility patterns in people with Parkinson’s disease, analyzes that data and transmits it to the cloud, is set to fuel a worldwide breakthrough for Parkinson’s researchers and physicians, as well as for wearers of the device.

Method: Total of 68 PD patients were taken as subject with an equal ratio of male and female and age group between 60 to 75 years. SDS (Wearable monitoring device MI band) was put on the wrist of PD patients  for 30 days.  The electronic questionnaires will cover data on medication, family history and non-motor symptoms.  Wearable assistive bands, automatically provides a cueing sound when freezing of gait (FOG) is detected and which stays until the subject resumes walking.

Results: Present results shown that SDS  reading showed there was a normal  heart rate, more calorie burnt  with better control of sugar control and average good sleep count in more  physically workout, include walking in PD patients  compared to less physically workout PD patients, identified by professional physiotherapists.   Smart device reading showed that after changing lifestyle routine among less physically active PD patients, their FOG events normalize with less requirement of insulin injection dose.

Conclusion: Future work considers integration with deep brain stimulation, dissemination into further sites and patient’s home setting as well as integration with further data sources as neuroimaging and biobanks

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MDS Abstracts - https://www.mdsabstracts.org/abstract/a-smart-device-system-wearable-technology-band-to-identify-new-phenotypical-characteristics-in-parkinsons-disease-patients/