Abstract：
:Bioelectric signals such as electromyogram (EMG) and electrocardiogram (ECG) are often affected by various low-frequency trending interferences. It is critical to remove these interferences from the recordings so that the critical features of the bioelectric signals could be clearly observed. In this study, an advanced method based on smoothness prior approach (SPA) was proposed to solve this problem. EMG and ECG signals from both the MIT-BIH database and the experiments were employed to evaluate the detrending performance of the proposed method. For comparison purposes, a conventional high-pass Butterworth filter was also used for the detrending of the EMG and ECG signals. Two numerical measures, the correlation coefficient (CC) and root mean square error (RMSE) between the clean data and the detrended data, were calculated to evaluate the detrending performance. The results showed that the proposed SPA method outperformed the high-pass filtering method in reducing various kinds of trending interferences and preserving the desired frequency contents of the EMG and ECG signals. The study suggested that the SPA method might be a promising approach in detrending bioelectric signals.
journal_name
Med Eng Physjournal_title
Medical engineering & physicsauthors
Zhang F,Chen S,Zhang H,Zhang X,Li Gdoi
10.1016/j.medengphy.2014.05.009subject
Has Abstractpub_date
2014-08-01 00:00:00pages
1007-13issue
8eissn
1350-4533issn
1873-4030pii
S1350-4533(14)00124-6journal_volume
36pub_type
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