A Micropower Chopper CBIA Using DSL-Embedded Input Stage With 0.4 V EO Tolerance for Dry-Electrode Biopotential Recording
| dc.contributor.author | Surachoke Thanapitak | |
| dc.contributor.author | Wanlop Surakampontorn | |
| dc.contributor.author | Chutham Sawigun | |
| dc.date.accessioned | 2026-05-08T19:15:38Z | |
| dc.date.issued | 2023-4-6 | |
| dc.description.abstract | over 100 Hz bandwidth. This corresponds to a noise efficiency factor of 2.22. Typical CMRR of 102.1 dB is achieved for zero offset and degraded to 85.9 dB when a ±0.3 V input offset was applied. Gain variation of 0.5% is maintained within the range of ±0.4 V input offset. The resulting performance meets well with the requirement for ECG and EEG recording using dry electrodes. A demonstration for the use of the proposed IA on a human subject is also provided. | |
| dc.identifier.doi | 10.1109/tbcas.2023.3265273 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/15113 | |
| dc.publisher | IEEE Transactions on Biomedical Circuits and Systems | |
| dc.subject | Analog and Mixed-Signal Circuit Design | |
| dc.subject | Neuroscience and Neural Engineering | |
| dc.subject | Advanced Memory and Neural Computing | |
| dc.title | A Micropower Chopper CBIA Using DSL-Embedded Input Stage With 0.4 V EO Tolerance for Dry-Electrode Biopotential Recording | |
| dc.type | Article |