Wearable Sensor-Based Gait Analysis and Robotic Exoskeleton Control for Parkinson’s Patients
Year: 2024
Type: conference-paper
Abstract: Gait disorders are significant indicators of neurological diseases, such as Parkinson's disease, and reduce the quality of life of patients.Soft body exoskeletons offer a therapeutic solution to address these disorders.Although the detection and classification of gait disorders is essential for treatment and diagnosis, a single standardized gait analysis system for exoskeleton control remains absent.This study presents the design of a real-time gait analysis system using wearable sensors.This system generates real-time feedback data by evaluating kinematic, kinetic and physiological parameters of gait.The digitized data can be used for ML integration and exoskeleton control.
Author: Eren Bülbül
Institution: Yıldız Technical University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4406401334