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- W4323520156 abstract "Freeze of Gait (FoG) and falls are two common episodic Parkinson's disease symptoms. Devices based on wearable sensors can detect FoG and generate a cue to prompt the user to start walking again. This paper presents a system consisting of sensor-based wearable smart shoes for monitoring and detecting FoG in Parkinson's Disease (PD) patients. The system also identifies the occurrence of fall and notifies caretakers regarding the same. The left leg shoe has been designed to detect FoG and right leg shoe for fall detection. The device uses EMG sensors to detect muscular contraction, FSRs to determine the change in foot pressure, Inertial Measurement Unit to detect the fall, microcontrollers, Wifi module, and the Blynk app to display the data regarding occurrence of FoG and detection of fall. Visual and vibratory cues using laser and vibration motors are provided to the patient to overcome FoG." @default.
- W4323520156 created "2023-03-09" @default.
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- W4323520156 date "2022-12-21" @default.
- W4323520156 modified "2023-09-29" @default.
- W4323520156 title "Freeze of Gait and Fall Detection in Parkinson's Patients" @default.
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- W4323520156 doi "https://doi.org/10.1109/i4c57141.2022.10057615" @default.
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