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GY MEDIC v2: Quantification of facial asymmetry in patients with automated bell’s palsy by AI

Abstract:

The quantification of Bell’s palsy using virtual reality, haptic devices and other technologies has been the subject of numerous investigations in recent years, however those affected with facial palsy have not benefited from efficient diagnoses that would give the physician the confidence to deliver an efficient clinical picture. GYMEDIC in its initial version developed modules of analysis (House-Brackmann System) and rehabilitation (virtual environments), previous research that comes to be the key to implement new Nottingham Scale graduation systems manipulating interactive virtual environments in order to improve figures of the diagnosis of Bell’s palsy. This system develops new features for the estimation of facial paralysis: (a) symmetry at rest, (b) symmetry at adjusted rest, (c) symmetry with voluntary facial movements, which allows the inclusion of new measurement scales to the system. In addition, as an interesting point to research, AI is implemented through a simple neuronal network, which allows to adjust figures in three areas: eyebrows, eyes and mouth and therefore improve the diagnosis of patients.