Title :
A Blink Restoration System With Contralateral EMG Triggered Stimulation and Real-Time Artifact Blanking
Author :
Xin Yi ; Jun Jia ; Simin Deng ; Shen, S.G. ; Qing Xie ; Guoxing Wang
Author_Institution :
Sch. of Microelectron., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Patients suffering from facial paralysis are on the hazard of disfigurement and loss of vision due to loss of blink function. Functional-electrical stimulation (FES) is one possible way of restoring blink and other functions in these patients. A blink restoration system for uni-lateral facial paralyzed patients is described in this paper. The system achieves restoration of synchronized blink through processing the myoelectric signal of orbicularis oculi at the normal side in real-time as the trigger to stimulate the paralyzed eyelid. Design issues are discussed, including EMG processing, stimulating strategies and real-time artifact blanking. Two artifact removal approaches based on sample and hold and digital filtering technique are proposed and implemented. Finally, the whole system has been verified on rabbit models.
Keywords :
digital filters; electromyography; medical disorders; medical signal processing; neuromuscular stimulation; EMG processing; FES; artifact removal approaches; blink function loss; blink restoration system; contralateral EMG triggered stimulation; digital filtering technique; disfigurement; facial paralysis; functional electrical stimulation; myoelectric signal processing; orbicularis oculi; paralyzed eyelid stimulation; rabbit models; real time artifact blanking; sample and hold technique; stimulating strategies; synchronized blink restoration; unilateral facial paralyzed patients; vision loss; Band-pass filters; Blanking; Detectors; Electrodes; Electromyography; Eyelids; Real-time systems; Blanking; digital filter; functional-electrical stimulation (FES); stimulus artifact; Algorithms; Animals; Artifacts; Blinking; Electric Stimulation; Electric Stimulation Therapy; Electromyography; Electronics; Eyelids; Facial Nerve; Facial Paralysis; Oculomotor Muscles; Rabbits; Reproducibility of Results; Signal Processing, Computer-Assisted; Software;
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TBCAS.2013.2255051