A dry-electrode enabled ECG-on-Chip with arrhythmia-aware data transmission

作     者：Xinzi XU Yanxing SUO Yang ZHAO Peiyi ZHOU Xiao HAN Qiao CAI Min WANG Jiajun YUAN Liebin ZHAO Yongfu LI Guoxing WANG Yong LIAN 

作者机构：Department of Micro-Nano Electronics and MoE Key Lab of Artificial IntelligenceShanghai Jiao Tong University Pediatric AI Clinical Application and Research CenterShanghai Engineering Research Center of Intelligence Pediatrics (SERCIP)Child Health Advocacy InstituteShanghai Children's Medical CenterSchool of MedicineShanghai Jiao Tong University Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP)Xin Hua Hospital Affiliate to Shanghai Jiao Tong University School of Medicine 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2025年第68卷第2期

页      面：338-353页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0836[工学-生物工程] 

基　　金：supported in part by National Natural Science Foundation of China (Grant Nos. 62350710216,62104145) National Key Research and Development Program of China (Grant No. 2019YFB2204500) 

主　　题：ECG flexible dry electrodes analog front-end abnormality detection ASIC wireless transmission 

摘      要：Early detection and treatment of cardiovascular diseases(CVDs) can be significantly enhanced through the use of flexible wearable electrocardiogram(ECG) sensors, potentially reducing CVD-related mortality. This paper introduces an ECG-on-Chip(EoC) solution tailored for flexible ECG sensors, incorporating novel features to address common challenges in wearable ECG technology. The EoC integrates a chopper-stabilized capacitively-coupled instrumentation amplifier(CS-CCIA),ensuring a high common-mode rejection ratio(CMRR) and low noise performance. Performance is further boosted via a positive feedback loop(PFL) and a programmable gain amplifier(PGA) with shared on-chip calibration logic, which enhances input impedance and minimizes gain variability to ensure consistent algorithm performance. Additionally, a secondary chopping technique is employed to further reduce noise, achieving an input-referred noise level of 454 nVrms. The embedded algorithm within the EoC is designed to extract clinically meaningful features, facilitating robust real-time arrhythmia analysis. Fabricated using a 0.18 μm CMOS process, the EoC consumes 14.9 μW with a supply voltage of 1.2 V. The algorithm s efficacy has been validated over 0.4 million heartbeats, demonstrating a sensitivity of over 99.7% for R-peak detection and 98.3% for arrhythmia analysis. To demonstrate practical application, the EoC has been integrated with a commercial Bluetooth low energy(BLE)transceiver, forming a wireless arrhythmia monitoring sensor equipped with dry electrodes. This system consumes 292.04 μW in arrhythmia-aware transmission mode, supporting 13 days of operation with a 30 mAh thin-film battery.