Human bioelectrical signal detection and monitoring

Abstract

The present disclosure includes an electromagnetic field detection and monitoring system. The system includes a single-ended amplifier and an impedance matching circuit which matches the impedance caused by an air gap between tissue and an electrode. The system includes passive detection, active detection, and signal processing capabilities. At least one embodiment includes a body worn system with sensing, processing, communications, and data storage capabilities. The system provides wearable antennas to transfer the EMF energy in its electrical or magnetic forms into the sensor efficiently. A specially designed processing algorithm can process the collected data and generated the results for medical professionals to read and make decisions. The processing can include machine learning technique which decompose an EMF signal into EEG bands to perform feature extraction. The features can then be used to train a machine learning model to classify other EMF signals.

Dependencies are inferred from the claim text.