Open AccessDevelopment of Blink Restoration Model for Facial Paralysis Detection
Author(s) -
Kalivaraprasad,
Vd. M. Prasad,
L. Harshavardhan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1804/1/012175
Subject(s) - electromyography , facial paralysis , paralysis , computer science , signal (programming language) , facial electromyography , feature (linguistics) , facial muscles , functional electrical stimulation , physical medicine and rehabilitation , psychology , medicine , stimulation , communication , neuroscience , surgery , programming language , linguistics , philosophy
On account of blink feature, patients suffer from facial paralysis that lead to disfiguration and loss of vision. Ultimately, facial pacing aims to improve the the standard of life of individuals suffering from facial unilateral paralysis A device is designed that can analyze electromyography signals from the healthy side of the face eye and trigger the corresponding muscle with electrical stimulation on the paralysed side simultaneously. FES is one of the possible ways for restoration of blink of these patients. The system modelled will achieve the EMG signal extraction and blink detection algorithm for stimulation by real time signals. Finally, the device has been experimented on humans, rabbits, dogs with EMG signal data set. The attenuation of power frequency is about 51dB with 80% accuracy.