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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Martinez-Tabares, F.J. Gaviria-Gomez, N. Castellanos-Dominguez, G. |
| Copyright Year | 2014 |
| Description | Author affiliation: Signal Process. & Recognition Group, Univ. Nac. de Colombia, Manizales, Colombia (Martinez-Tabares, F.J.; Castellanos-Dominguez, G.) || Grupo de Investig. en Telecomun. Aplic., Univ. de Antioquia, Medellin, Colombia (Gaviria-Gomez, N.) |
| Abstract | Heart activity monitoring is an important task for prevention and treatment of cardiovascular diseases. However, development of long-term, wearable electrodes remains an open issue. In fact, adhesion ability and energy consumption while preserving aesthetics is one of the major concerns to implement a minimally invasive monitoring system that measures and transmits electrocardiographic signals (ECG) during long-term periods of time. Based on the concepts of functionality, wearability, and resources, we develop a new long-term ECG monitoring system under the wear-and-forget principle. We also propose a system model of the electrode-skin interface that performs real-time measurements with a minimally invasive effect when compared with another competitive and implantable systems. As a result, testing of designed prototype shows that the developed very long-term ECG monitoring patch improves energy consumption and adhesion time up to 40 days. |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 5964 |
| Ending Page | 5967 |
| File Size | 1037613 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479290 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2014.6944987 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrocardiography Electrodes Monitoring Skin Adhesives Impedance Biomedical monitoring |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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