A Two-step Training Paradigm for Voluntary Control of the Peri-auricular Muscles

Survivors of spinal cord injury (SCI) usually have severe mobility limitation due to their paralysis.In order to improve the independence of living for those patients, scientists and engineers invented many different types of assistive devices, such as breath controlled "sip and puff" devices, speech controlled devices, eye movement controlled devices, and head movement controlled devices. However, one limitation of the previous designs is that they all require usurping the intact function of a functional organ like mouth or eyes. A recent design by Reach Bionic's company takes advantage of a set of ear muscles-the peri-auricular muscles-that are present in more than 95% of the population, but do not serve any physiologic function in humans. These muscles are innervated by branches of cranial nerves that are controlled through the brain stem, above the spinal cord. Therefore, it is unlikely they will be affected even by a very high SCI. The design intention is to translate the ear contraction signal from the muscles into the meaningful control signal to direct a wheelchair or operate a computer cursor in a fashion to a joystick or mouse. However, since most people do not have the ability to voluntarily contract their ear muscles, the question remains how to best learn to contract our ear muscles and design an effective training paradigm.

Since norm volunteers will have the same voluntary control of their peri-auricular muscles as the patients suffering from spinal cord injury, thus, the investigators are going to test the effectiveness of our two-step training paradigm among the healthy participants at this explorative stage.

In specific, at the first step of training, participants will be asked to voluntarily contract their ear muscles with the facilitation of electrical stimulation. At the second step of training, they will take part in a computer game and will be asked to move a cursor to a specific target that will randomly appear on the computer screen. The cursor will be controlled by the electrical activities produced by the ear muscles contractions that will be captured by surface electromyography (EMG) signals.

The computer game performance of each participant before and after the second step of training with surface EMG signals feedback and the mean surface EMG signal amplitude of the auricular muscles at the maximum voluntary contraction at baseline, after the first step of training, and after the second step of training will be compared.