Wiklund Urban, Karlsson Marcus, Ostlund Nils, Berglin Lena, Lindecrantz Kaj, Karlsson Stefan, Sandsjö Leif
Department of Biomedical Engineering and Informatics, University Hospital, 901 85, Umeå, Sweden.
Med Biol Eng Comput. 2007 Jun;45(6):515-23. doi: 10.1007/s11517-007-0183-0. Epub 2007 Apr 18.
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.
这主要是由于电极在皮肤上的移位。我们评估了一种用于嘈杂多通道心电图心跳检测的新型时空滤波自适应方法，包括单通道中的短信号中断。使用多通道数据库记录（来自10名健康受试者的12通道心电图），结果表明多通道时空滤波优于常规独立成分分析。我们还使用带有纺织电极的T恤记录了七通道心电图。10名健康受试者在10分钟的记录过程中进行了不同的动作序列：休息、站立、收缩胸部肌肉、行走和俯卧撑。使用自适应多通道滤波，9名受试者的灵敏度和精确度高于97%。自适应多通道时空滤波可用于检测高噪声水平心电图中的心跳。一个应用是在通过智能服装中的集成纺织电极获得的嘈杂心电图记录中进行心跳检测。
