Wearable Sensor-Based Gait Analysis and Robotic Exoskeleton Control for Parkinson’s Patients †
Engineering Proceedings, cilt.82, sa.1, 2024 (Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 82 Sayı: 1
- Basım Tarihi: 2024
- Doi Numarası: 10.3390/ecsa-11-20456
- Dergi Adı: Engineering Proceedings
- Derginin Tarandığı İndeksler: Scopus
- Anahtar Kelimeler: biomedical engineering, biomedical instrumentation, gait analysis, wearable sensors
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
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.