Motion artifact reduction in ambulatory ECG monitoring: an integrated system approach

Authors:
Iñaki Romero;Torfinn Berset;Dilpreet Buxi;Lindsay Brown;Julien Penders;Sunyoung Kim;Nick Van Helleputte;Hyejung Kim;Chris Van Hoof;Firat Yazicioglu
Affiliations:
Imec/Holst Centre, Eindhoven, The Netherlands;Imec/Holst Centre, Eindhoven, The Netherlands;Imec/Holst Centre, Eindhoven, The Netherlands;Imec/Holst Centre, Eindhoven, The Netherlands;Imec/Holst Centre, Eindhoven, The Netherlands;Imec, Kapeldreef, Leuven, Belgium;Imec, Kapeldreef, Leuven, Belgium;Imec, Kapeldreef, Leuven, Belgium;Imec, Kapeldreef, Leuven, Belgium;Imec, Kapeldreef, Leuven, Belgium
Venue:
Proceedings of the 2nd Conference on Wireless Health
Year:
2011

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Abstract

Recent advances in low-power micro-electronics are revolutionizing ECG monitoring. Wearable patches now allow comfortable monitoring over several days. Achieving reliable and high integrity recording however remains a challenge, especially under daily-life activities. In this paper we present a system approach to motion artifact reduction in ambulatory recordings. A custom ultra-low-power ECG analog front-end read-out for simultaneous measurement of ECG and electrode-tissue impedance, from the same electrode, is reported. Integrating this front-end, we describe a wireless patch for the monitoring of 3-lead ECG, electrode electrical artifact and 3D-acceleration. Beyond ECG monitoring, this wireless patch provides the additional necessary data to filter out motion artifact. Two algorithm methods are tested. The first method applies ICA for de-noising multi-lead ECG recordings. The second method is an adaptive filter that uses skin/electrode impedance as the measurement of noise. Algorithms, circuits and system provide a platform for reliable ECG monitoring on-the-move.