Adaptive spatio-temporal filtering of disturbed ECGs: a multi-channel approach to heartbeat detection in smart clothing
Journal article, 2007

Intermittent disturbances are common in ECG signals recorded with smart clothing: this is mainly because of displacement of the electrodes over the skin. We evaluated a novel adaptive method for spatio-temporal filtering for heartbeat detection in noisy multi-channel ECGs including short signal interruptions in single channels. Using multi-channel database recordings (12-channel ECGs from 10 healthy subjects), the results showed that multi-channel spatio-temporal filtering outperformed regular independent component analysis. We also recorded seven channels of ECG using a T-shirt with textile electrodes. Ten healthy subjects performed different sequences during a 10-min recording: resting, standing, flexing breast muscles, walking and pushups. Using adaptive multi-channel filtering, the sensitivity and precision was above 97% in nine subjects. Adaptive multi-channel spatio-temporal filtering can be used to detect heartbeats in ECGs with high noise levels. One application is heartbeat detection in noisy ECG recordings obtained by integrated textile electrodes in smart clothing.

qrs detection algorithms

noise reduction

independent

blind source separation

textile electrodes

heartbeat detection

multi-channel ECG

component analysis

health-care

signals

Author

U. Wiklund

University Hospital of Umea

Umeå University

M. Karlsson

University Hospital of Umea

N. Östlund

University Hospital of Umea

L. Berglin

University of Borås

Kaj Lindecrantz

University of Borås

S. Karlsson

University Hospital of Umea

Umeå University

Leif Sandsjö

Chalmers, Product and Production Development

Medical and Biological Engineering and Computing

0140-0118 (ISSN)

Vol. 45 6 515-523

Subject Categories

Medical Engineering

Textile, Rubber and Polymeric Materials

DOI

10.1007/s11517-007-0183-0

More information

Latest update

3/8/2018 9