A Review on Direct Digital Conversion Techniques for Biomedical Signal Acquisition

Author:

Zhou Yizhao1,Song Shuang2,Wang Shiwei3ORCID,Wan Yalong2,Yang Tian2,Yu Xiaopeng2ORCID,Zhao Menglian1ORCID

Affiliation:

1. College of Information Science and Electronics Engineering, Zhejiang University, Hangzhou 310027, China

2. School of Micro-Nanoelectronics, Zhejiang University, Hangzhou 310027, China

3. Institute for Integrated Micro & Nano Systems, School of Engineering, University of Edinburgh, Edinburgh EH8 9JU, UK

Abstract

Biomedical signals such as Electrocardiogram (ECG), Electroencephalogram (EEG) and photoplethysmography (PPG) are recorded routinely to provide helpful information for early diagnosis of disease. Low power consumption is very important to allow long-term ambulatory monitoring with battery-powered systems. A direct digital conversion (DDC) technique has been proposed in recent years, which employs preamplifier and data converters, reducing the complexity of the readout chain and thus its power consumption. This paper provides a review on DDC for biopotential signals and bio-optical signal acquisition. The state-of-the-art DDC-based readout architectures together with circuit implementations are provided.

Funder

Young Talent Grants of ZJU-HIC

Kunpeng Grants of Zhejiang province

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference39 articles.

1. A 769 μW Battery-Powered Single-Chip SoC with BLE for Multi-Modal Vital Sign Monitoring Health Patches;Song;IEEE Trans. Biomed. Circuits Syst.,2019

2. A 345 µW Multi-Sensor Biomedical SoC with Bio-Impedance, 3-Channel ECG, Motion Artifact Reduction, and Integrated DSP;Van;IEEE J. Solid-State Circuit,2015

3. A 665 μW Silicon Photomultiplier-Based NIRS/EEG/EIT Monitoring ASIC for Wearable Functional Brain Imaging;Xu;IEEE Trans. Biomed. Circuits Syst.,2018

4. A Neural Probe with Up to 966 Electrodes and Up to 384 Configurable Channels in 0.13 μm SOI CMOS;Mora;IEEE Trans. Biomed. Circuits Syst.,2017

5. Raducanu, B., Van, H.C., and Kloosterman, F. (2021, October 26). Massive Parallel Readout Circuits for In-Vivo Signal Acquisition. In Sterk Geparallelliseerde Uitleesschakelingen Voor In-Vivo Signaalacquisitie; 2018. Available online: https://imec-publications.be/handle/20.500.12860/31591.

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