Robust wireless capacitive ECG system with adaptive signal quality and motion artifact reduction

Abstract

A robust wireless system for capacitive ECG is presented, which measures electrode-body capacitive impedance, acceleration, and gyroscope signals from the electrodes to be used in motion artifact reduction algorithms. The system dynamically adapts its robustness and signal quality according to the environmental conditions. Optimizations including bias resistance and cancellation of common mode signals are discussed, and an office chair implementation is presented. An example of motion artifact compensation by means of an adaptive filter that uses the recorded signals is shown; and the dynamic adaptation to prevent front-end saturation is demonstrated and validated.