Real-time biofeedback device for gait rehabilitation of post-stroke patients
| Autor: | Michael Nico Balagtas, Omar Rojas, I-Hung Khoo, Vennila Krishnan, Panadda Marayong, Katherine Leyba |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
030506 rehabilitation
medicine.medical_specialty Auditory feedback Engineering Rehabilitation business.industry medicine.medical_treatment Forefoot Work (physics) Biomedical Engineering Swing Biofeedback 03 medical and health sciences 0302 clinical medicine Gait (human) Physical medicine and rehabilitation Physical therapy medicine Original Article 0305 other medical science business human activities 030217 neurology & neurosurgery Reliability (statistics) |
| Popis: | In this work, we develop a device, called ‘Walk-Even’, that can provide real-time feedback to correct gait asymmetry commonly exhibited in post-stroke survivors and persons with certain neurological disorders. The device computes gait parameters, including gait time, swing time, and stance time of each leg, to detect gait asymmetry and provide corresponding real-time biofeedback by means of auditory and electrotactile stimulation to actively correct the user’s gait. The system consists of customized force-sensor-embedded insoles adjustable to fit any shoe size, electrotactile and auditory feedback circuits, microcontroller, and wireless XBee transceivers. The device also offers data saving capability. To validate its accuracy and reliability, we compared the gait measurements from our device with a commercial gait and balance assessment device, Zeno Walkway. The results show good correlation and agreement in a validity study with six healthy subjects and reliability study with seventeen healthy subjects. In addition, preliminary testing on six post-stroke patients after an 8-week training shows that the Walk-Even device helps to improve gait symmetry, foot pressure and forefoot loading of the affected side. Thus, initial testing indicates that the device is accurate in measuring the gait parameters and effective in improving gait symmetry using real-time feedback. The device is portable and low cost and has the potential for use in a non-clinical setting for patients that can walk independently without assistance. A more extensive testing with stroke patients is still ongoing. |
| Databáze: | OpenAIRE |
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