Lanata Antonio, Guidi Andrea, Baragli Paolo, Paradiso Rita, Valenza Gaetano, Scilingo Enzo Pasquale
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:1955-8. doi: 10.1109/EMBC.2015.7318767.
This study reports on the implementation of a novel system to detect and reduce movement artifact (MA) contribution in electrocardiogram (ECG) recordings acquired from horses in free movement conditions. The system comprises both integrated textile electrodes for ECG acquisition and one triaxial accelerometer for movement monitoring. Here, ECG and physical activity are continuously acquired from seven horses through the wearable system and a model that integrates cardiovascular and movement information to estimate the MA contribution is implemented. Moreover, in this study we propose a new algorithm where the Stationary Wavelet Transform (SWT) decomposition algorithm is employed to identify and remove movement artifacts from ECG recodigns. Achieved results showed a reduction of MA percentage greater than 40% between before- and after- the application of the proposed algorithm to seven hours of recordings.
本研究报告了一种新型系统的实施情况，该系统用于检测并减少在自由活动状态下从马匹获取的心电图（ECG）记录中的运动伪迹（MA）影响。该系统包括用于采集ECG的集成纺织电极和一个用于运动监测的三轴加速度计。在此，通过可穿戴系统从七匹马身上持续采集ECG和身体活动数据，并实施了一个整合心血管和运动信息以估计MA影响的模型。此外，在本研究中，我们提出了一种新算法，其中采用平稳小波变换（SWT）分解算法从ECG记录中识别并去除运动伪迹。所取得的结果表明，在所记录的七小时内，应用所提出的算法前后，MA百分比降低了40%以上。
