Mechanism of pressure induced baseline shift in bioelectric signals measurement using wearable electrodes

Author(s):  
Pengjun Xu ◽  
Xiaoming Tao ◽  
Hao Liu ◽  
Shanyuan Wang
2016 ◽  
Vol 16 (6) ◽  
pp. 60-68
Author(s):  
Ludi Wang ◽  
Xiaoguang Zhou ◽  
Ying Xing ◽  
Siqi Liang

Abstract An ECG baseline shift correction method is presented on the base of the adaptive bionic wavelet transform. After modifying the bionic wavelet transform according to the characteristics of the ECG signal, we propose a novel adaptive BWT algorithm. Using the contaminated and actual data in the MIT-BIH database, the method of fast and simple adaptive bionic wavelet transform can effectively correct the baseline shift under the premise of maintaining the geometric characteristics of the ECG signal. Evaluation of the proposed method shows that the average improvement SNR of FABWT is 2.187 dB more than the CWT-based best case result.


2018 ◽  
Vol 85 (9) ◽  
pp. 15-23
Author(s):  
Anil Kumar Pulikkathodi ◽  
Indu Sarangadharan ◽  
Yi-Hong Chen ◽  
Gwo-Bin Lee ◽  
Yu-Lin Wang

Author(s):  
Manabu Toyoshima ◽  
Chikahiro Minowa

In this paper, two times integral of acceleration record was discussed by the use of strong earthquake motion data; recorded in the 1999 Kocaeli (Turkey) Earthquake data. Usually, the two times integral displacements of horizontal seismic acceleration records will diverge. It was estimated for the integral displacement to diverge by the baseline shift caused on sensor tilting during quake. The data was simulated in 3 dimensional and 6 freedom shaking table. The divergent process of seismic data and shaking table data were studied.


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