A Method for Rehabilitation of Hand Dysfunction by Cyber Glove

Abstract

Abstract. This paper presents a new method of rehabilitation workstation for hand dysfunction. It has functions as follows: hand dysfunction diagnosis, assessment of disability, physical training. With the assistance of cyber gloves as well as hand strength training devices designed by the present authors, this workstation measures the hand joints movement accurately, and assesses and trains muscle strength. The system assists physiatrists to perform clinical activities such as disability evaluation, treatment decision, recovery evaluation, clinical information analysis and data filing. As a result, an integral system can be established for rehabilitation of hand dysfunction. This system makes the simultaneous treatments available to patients by simply increasing the number of hand-training devices; the efficiency of rehabilitation is improved consequently.

Integration of sEMG-Based Learning and Adaptive Fuzzy Sliding Mode Control for an Exoskeleton Assist-as-Needed Support System

“…Studies have shown that patients who adhere to exoskeleton rehabilitation programs experience improvement in their motor functions; adherence to these programs has been found to correlate with effective rehabilitation [18]. So long as the programs and exercises are safe, comfortable, engaging, and efficient, patients should expect improvements in performance and rehabilitation [20,21]. Research has also shown that personalized treatment based on a patient's specific needs is most effective in rehabilitating patients [22,23].…”