Controlled HCI for Stroke Patients
Wen-Ko Chiou, Ph.D.1 and May-Kuen Wong, M.D.2
Department of Industrial Design1 and Department of Physical Therapy2
Chang Gung University, Kwei-Shan, Tao-Yuan, Taiwan
Stroke is an important cause of death and one of the main causes of morbidity. Many of them will live with significant sensory-motor deficits that will considerably impede their level of functional independence ( Capaday and Stein 1986). In fact, between 30% and 60% of people who survive a stroke will be dependent in certain aspects of their daily activities ( Olney et al. 1998). The goal for the final rehabilitation is independent walking for stroke patient. Although there are various types of preliminary training before ambulating rehabilitation, upright stepping and the exercise model of walking are probably the most similar ( Werning and Muller 1992). Upright stepping devices have become commonly used pieces of exercise equipment in health clubs, rehabilitation clinics, hospitals, and physical therapy practices ( Holland et al. 1990, Olney et al. 1998). Spasticity is a complex phenomenon that interferes with motor control. The electromyography (EMG) activity obtained during upright stepping always used to quantify disordered muscle activation patterns in spastic paretic stepping ( Fung and Barbeau 1989).
During the active rehabilitation period after a stroke, rehabilitation interventions emphasize stimulation of the recovery of the sensory-motor function of the paretic side ( Brask et al. 1992). There had poor feedback to know real-time function for stroke patients on upright stepping devices until now ( Obradovich and Woods 1996). The objectives of this study were twofold. (1) Design an EMG signal controlled human-computer interface (HCI) built in upright stepping device. (2) Explore the clinical effect of EMG recognition system on the balance, functional independence, psychological responses and progress of activities of the stroke patients.