Electromyography devices and methods employing processing of motor unit action potentials via neuromorphic computing to decode intention or predict motor function

Abstract

A garment is worn on an anatomical region, with electrodes arranged on the garment to contact skin of the anatomical region. An EMG amplifier measures analog EMG data, and analog circuitry decomposes the analog EMG data into MUAPs. The analog circuitry may include an analog matrix processor performing analog matrix multiplication to transform the analog EMG data into source signals, an analog squarer circuit computing power signals by squaring the source signals, and delta sigma analog-to-digital converters converting the power signals to analog spike signals. The analog circuitry may include a neuromorphic chip to transform the analog EMG data into analog spike signals using blind source separation. A neuromorphic chip may process the analog spike signals to determine volitional intent using spiking neural networks (SNN), and/or perform a neuromuscular debilitation assessment based on the analog spike signals or encoded spike train

Dependencies are inferred from the claim text.