IEEE transactions on biomedical circuits and systems最新文献

A 44μW Two-Electrode ECG Acquisition ASIC with Hybrid Motion Artifact Removal and Power-Efficient R-Peak Detection.

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":"https://doi.org/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}

引用次数: 0

A 28nm Fully Integrated End-to-End Genome Analysis Accelerator for Next-Generation Sequencing.

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 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

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 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”

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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Real-Time Imaging Enhancement of Handheld Photoacoustic System With FeRAM Crossbar Array based Neuromorphic Design.

IEEE transactions on biomedical circuits and systems Pub Date : 2025-02-04 DOI: 10.1109/TBCAS.2025.3538578

Zhengyuan Zhang, Tiancheng Cao, Siyu Liu, Haoran Jin, Wensong Wang, Xiangjun Yin, Chen Liu, Goh Wang Ling, Yuan Gao, Yuanjin Zheng

{"title":"Real-Time Imaging Enhancement of Handheld Photoacoustic System With FeRAM Crossbar Array based Neuromorphic Design.","authors":"Zhengyuan Zhang, Tiancheng Cao, Siyu Liu, Haoran Jin, Wensong Wang, Xiangjun Yin, Chen Liu, Goh Wang Ling, Yuan Gao, Yuanjin Zheng","doi":"10.1109/TBCAS.2025.3538578","DOIUrl":"https://doi.org/10.1109/TBCAS.2025.3538578","url":null,"abstract":"The miniaturization and real time imaging capability have always been the desired properties of photoacoustic imaging (PAI) system, which unlocked vast potential for personalized healthcare and diagnostics. While the imaging quality and resolution in such systems are inferior due to physics and system volume constraints, which limited its wide deployment and application. This paper proposes a novel platform to enhance the imaging quality of handheld PAI system in real time, integrating MultiResU-Net imaging enhancement algorithm with Ferroelectric random-access memory (FeRAM) crossbar array. The FeRAM crossbar array enables in memory computing, which is highly suitable for accelerating deep neural network where extensive matrix multiplications are involved. The hardware implementation of the algorithm is optimized for low-power operation on edge devices, a specifically designed algorithmic strategy is further introduced to accurately simulate the impact of hardware variation on the computation in the array with time complexity of O(mn). The feasibility and effectiveness of this method are demonstrated through simulation data (synthesized through physical model) and in vivo data, the experimental results demonstrate more than 10 times of imaging resolution improvement. The execution of neural network inference has been significantly accelerated and can be completed within a few microseconds, fully covering the imaging speed in handheld PAI system and satisfying the real time imaging capability. The whole platform can be integrated into a compact size of 25×25×20 cm3, which is a portable system with real time and high resolution imaging capability.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143545248","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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An Active Microchannel Neural Interface for Implantable Electrical Stimulation and Recording.

IEEE transactions on biomedical circuits and systems Pub Date : 2025-01-27 DOI: 10.1109/TBCAS.2025.3533612

Maryam Habibollahi, Dai Jiang, Henry Thomas Lancashire, Andreas Demosthenous

{"title":"An Active Microchannel Neural Interface for Implantable Electrical Stimulation and Recording.","authors":"Maryam Habibollahi, Dai Jiang, Henry Thomas Lancashire, Andreas Demosthenous","doi":"10.1109/TBCAS.2025.3533612","DOIUrl":"https://doi.org/10.1109/TBCAS.2025.3533612","url":null,"abstract":"A mm-sized, implantable neural interface for bidirectional control of the peripheral nerves with microchannel electrodes is presented in this paper. The application-specific integrated circuit (ASIC) developed in a 0.18 μm CMOS technology is designed to achieve highly selective, concurrent control of 300-μm-wide groups of small nerve sections. It has in-situ, high-voltage-compliant (45 V) electrical stimulation and low-voltage (1.8 V) neural recording in each channel. Biphasic stimulus current pulses up to 124 μA with a 2 μA resolution are generated between 7.4 Hz and 20 kHz frequencies to stimulate and block neural activity. Action potentials are measured across a 10 kHz bandwidth with a variable gain response that ranges up to 72 dB. The neural recording front-end implements a low-power and low-noise biopotential amplifier with an input-referred noise (IRN) of 2.74 μVrms across the full measurement bandwidth. Automatic detection and reduction of stimulus artifacts is realised using a pole-shifting mechanism with a 1-ms amplifier recovery time. Versatile control of concurrently-operating channels is achieved in a two-channel, 2.31 mm2 interface ASIC using local control that allows up to seven devices to operate in parallel. Invitro validation of the active interface shows feasibility for closed-loop peripheral nerve control, while ex-vivo analyses of concurrent stimulation and recording demonstrates the measured neural response to electrical stimuli.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143545027","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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Compact Low-Power Interfacing and Data Reduction for Floating Active Intracortical Neural Probes with Modular Architecture.

IEEE transactions on biomedical circuits and systems Pub Date : 2025-01-22 DOI: 10.1109/TBCAS.2025.3532465

Roman Willaredt, Christoph Grandauer, Daniel De Dorigo, Daniel Wendler, Matthias Kuhl, Yiannos Manoli

{"title":"Compact Low-Power Interfacing and Data Reduction for Floating Active Intracortical Neural Probes with Modular Architecture.","authors":"Roman Willaredt, Christoph Grandauer, Daniel De Dorigo, Daniel Wendler, Matthias Kuhl, Yiannos Manoli","doi":"10.1109/TBCAS.2025.3532465","DOIUrl":"https://doi.org/10.1109/TBCAS.2025.3532465","url":null,"abstract":"Host connectivity for invasive, high-density neural probes that integrate all the circuits needed for insitu digitization of brain activity in the shank requires a thin and conformal cable. To minimize tissue damage during insertion or from micro-movements during chronic use, the wiring must be constrained in size with a low number of interconnects. Reducing the number of traces results in thinner and more flexible cables and allows the data rate to be increased by using wider traces. Fewer contacts are also less susceptible to reliability issues in long-term applications. This paper presents a modular digital neural probe that embeds a two-wire bidirectional interface for host connectivity minimizing the data overhead for configuration and readout. The presented handshaking allows synchronization of multiple shanks and is designed to adapt to varying line delays caused by different cable lengths or changing environmental conditions. Data reduction based on delta encoding further increases the number of electrodes that can be read out simultaneously. The system is validated in a 192-channel neural probe fabricated in a 180nm CMOS technology with a supply voltage of 1.2 V.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143545114","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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Efficient Inductive Link Design: A Systematic Method for Optimum Biomedical Wireless Power Transfer in Area-Constrained Implants.

IEEE transactions on biomedical circuits and systems Pub Date : 2025-01-21 DOI: 10.1109/TBCAS.2025.3531995

Asif Iftekhar Omi, Anyu Jiang, Baibhab Chatterjee

{"title":"Efficient Inductive Link Design: A Systematic Method for Optimum Biomedical Wireless Power Transfer in Area-Constrained Implants.","authors":"Asif Iftekhar Omi, Anyu Jiang, Baibhab Chatterjee","doi":"10.1109/TBCAS.2025.3531995","DOIUrl":"https://doi.org/10.1109/TBCAS.2025.3531995","url":null,"abstract":"In the context of implantable bioelectronics, this work provides new insights into maximizing biomedical wireless power transfer (BWPT) via the systematic development of inductive links. This approach addresses the specific challenges of power transfer efficiency (PTE) optimization within the spatial/area constraints of bio-implants embedded in tissue. Key contributions include the derivation of an optimal self-inductance with S-parameter-based analyses leading to the codesign of planar spiral coils and L-section impedance matching networks. To validate the proposed design methodology, two coil prototypes- one symmetric (type-1) and one asymmetric (type- 2)- were fabricated and tested for PTE in pork tissue. Targeting a 20 MHz design frequency, the type-1 coil demonstrated a state-of-the-art PTE of ~ 4% (channel length = 15 mm) with a return loss (RL) > 20 dB on both the input and output sides, within an area constraint of < 18×18 mm2. In contrast, the type-2 coil achieved a PTE of ~ 2% with an RL > 15 dB, for a smaller receiving coil area of < 5×5 mm2 for the same tissue environment. To complement the coils, we demonstrate a 65 nm test chip with an integrated energy harvester, which includes a 30-stage rectifier and low-dropout regulator (LDO), producing a stable ~ 1V DC output within tissue medium, matching theoretical predictions and simulations. Furthermore, we provide a robust and comprehensive guideline for advancing efficient inductive links for various BWPT applications, with shared resources in GitHub available for utilization by the broader community.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143545232","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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