A high frame rate wearable EIT system using active electrode ASICs for lung respiration and heart rate monitoring
Wu, Yu, Jiang, Dai, Bardill, Andy 
ORCID: https://orcid.org/0000-0002-2451-3260, de Gelidi, Serena ORCID: https://orcid.org/0000-0001-6141-2736, Bayford, Richard ORCID: https://orcid.org/0000-0001-8863-6385 and Demosthenous, Andreas
(2018)
A high frame rate wearable EIT system using active electrode ASICs for lung respiration and heart rate monitoring.
IEEE Transactions on Circuits and Systems I: Regular Papers, 65
(11)
.
pp. 3810-3820.
ISSN 1549-8328
[Article]
(doi:10.1109/TCSI.2018.2858148)
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Abstract
A high specification, wearable, electrical impedance tomography (EIT) system with 32 active electrodes is presented. Each electrode has an application specific integrated circuit (ASIC) mounted on a flexible printed circuit board, which is then wrapped inside a disposable fabric cover containing silver-coated electrodes to form the wearable belt. It is connected to a central hub that operates all the 32 ASICs. Each ASIC comprises a high- performance current driver capable of up to 6 mAp−p output, a voltage buffer for EIT and heart rate signal recording as well as contact impedance monitoring, and a sensor buffer that provides multi-parameter sensing. The ASIC was designed in a CMOS 0.35-μm high-voltage process technology. It operates from ±9-V power supplies and occupies a total die area of 3.9 mm2. The EIT system has a bandwidth of 500 kHz and employs two parallel data acquisition channels to achieve a frame rate of 107 frames/s, the fastest wearable EIT system reported to date. Measured results show that the system has a measurement accuracy of 98.88% and a minimum EIT detectability of 0.86 Q/frame. Its successful operation in capturing EIT lung respiration and heart rate biosignals from a volunteer is demonstrated.
| Item Type: | Article |
|---|---|
| Research Areas: | A. > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group |
| Item ID: | 28009 |
| Notes on copyright: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Useful Links: | |
| Depositing User: | Andy Bardill |
| Date Deposited: | 30 Oct 2019 08:36 |
| Last Modified: | 29 Nov 2022 19:36 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/28009 |
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