@inproceedings{0abf5892622c44bcaddb0dcc8565b9f5,
title = "Monitoring and Analysis of Multiplicative Characteristic Variations for Adhesive Electrode by Using Self-Electrocardiogram Signals",
abstract = "This study proposes a flexible method to track and quantify the ac-coupled gain variations in electrode to tissue interface (ETI) of adhesive/reusable electrodes. Particularly, this study focuses on the effects of multiplicative motion artifacts (MMA) on ETIs and proposes a continuously monitoring technique to assess ETI multiplicative variations. The proposed method only requires one additional channel of self electrocardiogram (self-ECG). Both gel-covered and foam-based adhesive electrodes were tested. Empirical results show that the ETI multiplicative variations can be characterized by the proposed convenient method. Meanwhile, we successfully demonstrate different characteristics for two types of electrodes under five motion postures including suppress motion, fist/stretch palm, twist, bent inward and arm lift, Furthermore, The long-Term degradation experiment illustrates that the average characteristics variation of ETI is less than 6% within 3-day of use.",
keywords = "ac-coupled gain, ETI, interface variation, long-Term observation, motion artifact",
author = "Jingyi Song and Chun-Shu Wei and Jung, {Tzyy Ping} and Yikai Wang",
year = "2016",
month = jan,
day = "12",
doi = "10.1109/SMC.2015.142",
language = "English",
series = "Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "761--764",
booktitle = "Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015",
address = "美國",
note = "IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 ; Conference date: 09-10-2015 Through 12-10-2015",
}