Title :
Design of a biofeedback device for gait rehabilitation in post-stroke patients
Author :
I-Hung Khoo;Panadda Marayong;Vennila Krishnan;Michael Nico Balagtas;Omar Rojas
Author_Institution :
Electrical Engineering Department, California State University, Long Beach, 90840, United States
Abstract :
A novel device, named `Walk-Even´, was developed to measure human gait and provide real-time feedback to correct gait asymmetry. Gait asymmetry is usually exhibited in patients with stroke or with certain neurological disorders. Our device can measure the weight pressure distribution that the patient exerts on each foot, in addition to the gait time, swing time, and stance time of each leg while walking. Based on the real time information, a biofeedback is given by means of auditory, and unpleasant electrotactile stimulation to actively correct gait asymmetry. The device consists of custom insoles with embedded force sensors adjustable to fit any shoe size, electrotactile and auditory feedback circuits, microcontroller, and wireless XBee transceivers. We compared the gait measurements from our device with that of a commercial device (MobilityLab) to verify its accuracy. Preliminary testing on post-stroke patients has shown that our device helps to improve their gait symmetry.
Keywords :
"Force","Microcontrollers","Foot","Biological control systems","Wireless sensor networks","Wireless communication","Testing"
Conference_Titel :
Circuits and Systems (MWSCAS), 2015 IEEE 58th International Midwest Symposium on
DOI :
10.1109/MWSCAS.2015.7282097