IEEE transactions on biomedical circuits and systems最新文献_第3页

IEEE Circuits and Systems Society Information IEEE电路与系统学会信息

IEEE transactions on biomedical circuits and systems Pub Date : 2025-04-02 DOI: 10.1109/TBCAS.2025.3551796

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IEEE Transactions on Biomedical Circuits and Systems Publication Information IEEE生物医学电路和系统汇刊信息

IEEE transactions on biomedical circuits and systems Pub Date : 2025-04-02 DOI: 10.1109/TBCAS.2025.3551714

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A 44μW Two-Electrode ECG Acquisition ASIC with Hybrid Motion Artifact Removal and Power-Efficient R-Peak Detection. 一种44μW混合运动伪影去除和高效r峰检测的双电极心电采集ASIC。

IEEE transactions on biomedical circuits and systems Pub Date : 2025-03-28 DOI: 10.1109/TBCAS.2025.3556256

Tianxiang Qu, Xuecheng Yang, Biao Tang, Xiao Li, Min Chen, Zhiliang Hong, Xiaoyang Zeng, Jiawei Xu

{"title":"A 44μW Two-Electrode ECG Acquisition ASIC with Hybrid Motion Artifact Removal and Power-Efficient R-Peak Detection.","authors":"Tianxiang Qu, Xuecheng Yang, Biao Tang, Xiao Li, Min Chen, Zhiliang Hong, Xiaoyang Zeng, Jiawei Xu","doi":"10.1109/TBCAS.2025.3556256","DOIUrl":"10.1109/TBCAS.2025.3556256","url":null,"abstract":"Motion artifacts (MA), common-mode interference (CMI), and varying electrode-tissue impedance (ETI) are the main factors that cause heart rate detection errors in practical wearable ECG acquisition. These problems are further exacerbated in two-electrode based ECG systems. This article presents an ambulatory ECG acquisition ASIC with fully integrated, low power motion artifacts removal (MAR) and heart rate detection, specifically for two-electrode ECG measurement. To alleviate the significant CMI due to the absence of subject bias electrode, this work utilizes an improved common-mode cancellation scheme to suppress CMI up to 40Vpp with dynamic power consumption. To address excessive MA caused by the body movement, a hybrid MAR technique is proposed, where both ETI and DC electrode offset (DEO) signals are incorporated as inputs to the adaptive filter. This approach not only prevents channel saturation in a power-efficient manner, but also accurately extracts MA and suppresses it in real time, thereby ensuring stable ECG outputs and accurate, power-efficient R-peak detection even in the presence of body movements. Fabricated in a standard 180nm CMOS process, the core IA achieves an input referred noise (IRN) of 0.62μVrms (1-150Hz), an input impedance of 1.9GΩ and a total-CMRR (T-CMRR) of 92dB at 50Hz. In a two-electrode configuration, the ASIC successfully suppresses the MA and obtains a high-quality ECG with well-identified QRS complex, enabling the built-in R-peak detection algorithm to calculate real-time heart rate more accurately and efficiently.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IEEE Circuits and Systems Society Information IEEE电路与系统学会信息

IEEE transactions on biomedical circuits and systems Pub Date : 2025-03-28 DOI: 10.1109/TBCAS.2025.3568993

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IEEE Transactions on Biomedical Circuits and Systems Publication Information IEEE生物医学电路和系统汇刊信息

IEEE transactions on biomedical circuits and systems Pub Date : 2025-03-28 DOI: 10.1109/TBCAS.2025.3568990

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A 28nm Fully Integrated End-to-End Genome Analysis Accelerator for Next-Generation Sequencing. 一个28纳米完全集成的端到端基因组分析加速器，用于下一代测序。

IEEE transactions on biomedical circuits and systems Pub Date : 2025-03-27 DOI: 10.1109/TBCAS.2025.3555579

Yi-Chung Wu, Yen-Lung Chen, Chung-Hsuan Yang, Chao-Hsi Lee, Wen-Ching Chen, Liang-Yi Lin, Nian-Shyang Chang, Chun-Pin Lin, Chi-Shi Chen, Jui-Hung Hung, Chia-Hsiang Yang

{"title":"A 28nm Fully Integrated End-to-End Genome Analysis Accelerator for Next-Generation Sequencing.","authors":"Yi-Chung Wu, Yen-Lung Chen, Chung-Hsuan Yang, Chao-Hsi Lee, Wen-Ching Chen, Liang-Yi Lin, Nian-Shyang Chang, Chun-Pin Lin, Chi-Shi Chen, Jui-Hung Hung, Chia-Hsiang Yang","doi":"10.1109/TBCAS.2025.3555579","DOIUrl":"https://doi.org/10.1109/TBCAS.2025.3555579","url":null,"abstract":"This paper presents the first end-to-end next-generation sequencing (NGS) data analysis accelerator for short-read mapping, haplotype calling, variant calling, and genotyping. It supports both single-end and paired-end short-reads (or reads) and uses the FM-index, a compact index data structure, for exact-match in short-read mapping. For inexact match part of short-read mapping, a dynamic programming array is proposed to determine the mapping results. To reduce the workload of short-read mapping, a rapid similarity calculation is designed. A rescue technique is also adopted to increase the overall sensitivity. In haplotype calling, a parallel k-mer processing engine can construct the de Bruijn graph and assemble the haplotypes. The variant calling step determines variants between a subject and a reference genome sequence with a variant discovery engine. Lastly, genotype likelihood is computed in parallel by a genotype likelihood computing engine, which outputs genotypes of all discovered variants and corresponding Phred-scaled likelihood (PL) values. This work completes end-to-end data analysis for the 50× PrecisionFDA dataset in an average of 28.2 minutes. It achieves a 3-to-59× higher throughput than the existing solutions with higher precision (99.79%) and sensitivity (99.03%). The chip also achieves a 935× higher energy efficiency than the Illumina DRAGEN FPGA acceleration system.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143733734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IEEE Circuits and Systems Society Information IEEE电路与系统学会信息

IEEE transactions on biomedical circuits and systems Pub Date : 2025-02-11 DOI: 10.1109/TBCAS.2025.3538049

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Guest Editorial: Ultralow-Power Technologies for Edge Computing in Human-Machine Interface Applications 嘉宾评论：人机界面应用中的边缘计算超低功耗技术

IEEE transactions on biomedical circuits and systems Pub Date : 2025-02-11 DOI: 10.1109/TBCAS.2025.3533805

Elisa Donati;Bo Zhao;Simone Benatti;Andrea Cossettini

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IEEE Transactions on Biomedical Circuits and Systems Publication Information IEEE生物医学电路和系统汇刊信息

IEEE transactions on biomedical circuits and systems Pub Date : 2025-02-11 DOI: 10.1109/TBCAS.2025.3538047

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Erratum to “Design of an Extreme Low Cutoff Frequency Highpass Frontend for CMOS ISFET via Direct Tunneling Principle” “利用直接隧道原理设计CMOS ISFET的极低截止频率高通前端”的勘误

IEEE transactions on biomedical circuits and systems Pub Date : 2025-02-11 DOI: 10.1109/TBCAS.2024.3411913

Jing Liang;Yuanqi Hu

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