A Bioimpedance Sensing Interface IC With Current Matching and Common-Mode Suppressing Loop for Wearable Health Monitoring
This letter presents a bioimpedance (Bio-Z) sensing interface IC with a current matching and common-mode suppressing (CMCS) loop for long-term health monitoring applications. The CMCS loop eliminates the mismatch between the source and sink stimulation currents of the current generator (CG), while reducing the area of the CG by half. Furthermore, the CMCS loop reuses the common-mode feedback loop of the Bio-Z instrumentation amplifier to substantially enhance the common-mode rejection ratio (CMRR) of the interface with reduced power consumption and area overhead. The proposed Bio-Z interface is designed in 130-nm CMOS technology. By employing the CMCS loop, it achieves a CMRR of 127 dB, exhibits a 3.84-mΩ/√Hz input-referred impedance noise, occupies an area of 0.07 mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>, and consumes a power of 10.4 µW for the readout front end and 12.9–122.7 µW for the CG.
Authors
- Yang Zhou (ORCID: https://orcid.org/0000-0003-1247-5049)
- Longbin Zhu (ORCID: https://orcid.org/0009-0003-2118-7986)
- Siyuan Xie (ORCID: https://orcid.org/0009-0000-7821-6088)
- Jia‐nan Zheng (ORCID: https://orcid.org/0000-0003-4022-3017)
- Fan Luo (ORCID: https://orcid.org/0000-0002-6254-608X)
- Zhijun Zhou (ORCID: https://orcid.org/0000-0002-2549-6589)
- Keping Wang (ORCID: https://orcid.org/0000-0003-3287-9147)
- Wenjie Wang (ORCID: https://orcid.org/0000-0001-6653-9090)
- Zhengtao Zhu (ORCID: https://orcid.org/0000-0002-9311-2110)
- Fanyi Meng (ORCID: https://orcid.org/0000-0003-0989-3119)
- Risheng Su
- Jihong Li (ORCID: https://orcid.org/0009-0000-3912-0868)
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Tianjin University (CN)
- Southeast University (CN)
Publication Details
- Journal
- IEEE Sensors Letters
- Published
- 2024-09-10
- DOI
- https://doi.org/10.1109/lsens.2024.3457614
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00