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Electrical performance of PEDOT:PSS-based textile electrodes for wearable ECG monitoring: a comparative study.
- Source :
-
Biomedical engineering online [Biomed Eng Online] 2018 Apr 02; Vol. 17 (1), pp. 38. Date of Electronic Publication: 2018 Apr 02. - Publication Year :
- 2018
-
Abstract
- Background: Wearable textile electrodes for the detection of biopotentials are a promising tool for the monitoring and early diagnosis of chronic diseases. We present a comparative study of the electrical characteristics of four textile electrodes manufactured from common fabrics treated with a conductive polymer, a commercial fabric, and disposable Ag/AgCl electrodes. These characteristics will allow identifying the performance of the materials when used as ECG electrodes. The electrodes were subjected to different electrical tests, and complemented with conductivity calculations and microscopic images to determine their feasibility in the detection of ECG signals.<br />Methods: We evaluated four electrical characteristics: contact impedance, electrode polarization, noise, and long-term performance. We analyzed PEDOT:PSS treated fabrics based on cotton, cotton-polyester, lycra and polyester; also a commercial fabric made of silver-plated nylon Shielde® Med-Tex P130, and commercial Ag/AgCl electrodes. We calculated conductivity from the surface resistance and, analyzed their surface at a microscopic level. Rwizard was used in the statistical analysis.<br />Results: The results showed that textile electrodes treated with PEDOT:PSS are suitable for the detection of ECG signals. The error detecting features of the ECG signal was lower than 2% and the electrodes kept working properly after 36 h of continuous use. Even though the contact impedance and the polarization level in textile electrodes were greater than in commercial electrodes, these parameters did not affect the acquisition of the ECG signals. Fabrics conductivity calculations were consistent to the contact impedance.
Details
- Language :
- English
- ISSN :
- 1475-925X
- Volume :
- 17
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Biomedical engineering online
- Publication Type :
- Academic Journal
- Accession number :
- 29609593
- Full Text :
- https://doi.org/10.1186/s12938-018-0469-5