RMMIC: A 40 μW Reconfigurable Multi-modal Multi-channel Interface Circuit System for Bio-signals Monitoring
Monitoring our multi-biological signals (bio-signals) provides us with a holistic view of our physiological condition (Figure 1). With increasing demand for integrating multiple bio-signals into a single chip, it is imperative to address multiple design challenges for efficient multi-modal biosensor acquisition [1]. The bio-signals include bio-potential signals (ExG), photo-plethysmography signals (PPG), and bio-impedance signals (BioZ) that are all unique in their electric properties (voltage, current, and resistance), have a large dynamic range ($4 \times$ order magnitudes in frequency and amplitude), and have a tremendous amount of variation among channels (middle of the Figure 1). The challenge of amplifying and quantizing diverse in-band bio-signals with a single signal acquisition circuit has attracted significant attention among researchers [2–6].
Authors
- Yuzhi Hao
- Mingyi Chen (ORCID: https://orcid.org/0000-0002-6439-4438)
- Zhuo Gao (ORCID: https://orcid.org/0000-0002-5740-5741)
- Ting Zhou (ORCID: https://orcid.org/0000-0001-5887-3590)
- Zhiwen Gu (ORCID: https://orcid.org/0000-0002-1734-389X)
- Yong Lian (ORCID: https://orcid.org/0000-0002-5289-5219)
- Jiajie Huang (ORCID: https://orcid.org/0000-0003-4343-0425)
- Guoxing Wang (ORCID: https://orcid.org/0000-0002-0235-1475)
- Yuhang Zhang (ORCID: https://orcid.org/0000-0002-4101-6207)
- Yan Liu (ORCID: https://orcid.org/0000-0002-7560-519X)
- Chao Wang (ORCID: https://orcid.org/0000-0003-0526-0250)
- Yang Zhao (ORCID: https://orcid.org/0000-0002-4522-5524)
- Yuxin Ji (ORCID: https://orcid.org/0000-0001-8660-4929)
- Yongfu Li (ORCID: https://orcid.org/0000-0002-6322-8614)
- Jian Zhao (ORCID: https://orcid.org/0000-0002-3283-7206)
- Feng Yang (ORCID: https://orcid.org/0000-0002-6350-5765)
Institutions
- Shanghai Jiao Tong University (CN)
Publication Details
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1109/a-sscc60305.2024.10849021
- Citations
- 2
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.54
Funders
- National Natural Science Foundation of China
- Research and Development