发布求助
文献互助 智能选刊 最新文献

IEEE Transactions on Biomedical Circuits and Systems最新文献

筛选
英文 中文
HybMED: A Hybrid Neural Network Training Processor with Multi-Sparsity Exploitation for Internet of Medical Things HybMED：利用多稀疏性开发的混合神经网络训练处理器，用于医疗物联网
IF 5.1 2区 医学
IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2024-04-17 DOI: 10.1109/tbcas.2024.3389875
Shiqi Zhao, Chuanqing Wang, Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan
{"title":"HybMED: A Hybrid Neural Network Training Processor with Multi-Sparsity Exploitation for Internet of Medical Things","authors":"Shiqi Zhao, Chuanqing Wang, Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan","doi":"10.1109/tbcas.2024.3389875","DOIUrl":"https://doi.org/10.1109/tbcas.2024.3389875","url":null,"abstract":"","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140617621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
High Precision Ping-pong Auto-zeroed Lock-in Fluorescence Photometry Sensor 高精度乒乓式自动归零锁定荧光光度传感器
IF 5.1 2区 医学
IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2024-04-16 DOI: 10.1109/tbcas.2024.3388569
Vahid Khojasteh Lazarjan, Marie-Ève Crochetière, Mehdi Noormohammadi Khiarak, Saeed Ghaneei Aarani, Seyedeh Nazila Hosseini, Gabriel Gagnon-Turcotte, Pierre Marquet, Benoit Gosselin
{"title":"High Precision Ping-pong Auto-zeroed Lock-in Fluorescence Photometry Sensor","authors":"Vahid Khojasteh Lazarjan, Marie-Ève Crochetière, Mehdi Noormohammadi Khiarak, Saeed Ghaneei Aarani, Seyedeh Nazila Hosseini, Gabriel Gagnon-Turcotte, Pierre Marquet, Benoit Gosselin","doi":"10.1109/tbcas.2024.3388569","DOIUrl":"https://doi.org/10.1109/tbcas.2024.3388569","url":null,"abstract":"","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140617875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Operant Conditioning Neuromorphic Circuit With Addictiveness and Time Memory for Automatic Learning 具有自动学习成瘾性和时间记忆的操作条件反射神经形态电路
IF 5.1 2区 医学
IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2024-04-15 DOI: 10.1109/tbcas.2024.3388673
Gang Dou, Wenhai Guo, Lingtong Kong, Junwei Sun, Mei Guo, Shiping Wen
{"title":"Operant Conditioning Neuromorphic Circuit With Addictiveness and Time Memory for Automatic Learning","authors":"Gang Dou, Wenhai Guo, Lingtong Kong, Junwei Sun, Mei Guo, Shiping Wen","doi":"10.1109/tbcas.2024.3388673","DOIUrl":"https://doi.org/10.1109/tbcas.2024.3388673","url":null,"abstract":"","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140568263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Vina-FPGA-Cluster: Multi-FPGA Based Molecular Docking Tool with High-Accuracy and Multi-Level Parallelism Vina-FPGA-Cluster：基于多 FPGA 的分子对接工具，具有高精度和多级并行性
IF 5.1 2区 医学
IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2024-04-15 DOI: 10.1109/tbcas.2024.3388323
Ming Ling, Zhihao Feng, Ruiqi Chen, Yi Shao, Shidi Tang, Yanxiang Zhu
{"title":"Vina-FPGA-Cluster: Multi-FPGA Based Molecular Docking Tool with High-Accuracy and Multi-Level Parallelism","authors":"Ming Ling, Zhihao Feng, Ruiqi Chen, Yi Shao, Shidi Tang, Yanxiang Zhu","doi":"10.1109/tbcas.2024.3388323","DOIUrl":"https://doi.org/10.1109/tbcas.2024.3388323","url":null,"abstract":"","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140567776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Fingertip-Mimicking 12×16 200μm-Resolution e-skin Taxel Readout Chip with per-Taxel Spiking Readout and Embedded Receptive Field Processing 模拟指尖的 12×16 200μm 分辨率电子皮肤 Taxel 读出芯片，具有每个 Taxel 的尖峰读出和嵌入式感受场处理功能
IF 5.1 2区 医学
IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2024-04-11 DOI: 10.1109/tbcas.2024.3387545
Mark Daniel Alea, Ali Safa, Flavio Giacomozzi, Andrea Adami, Inci Rüya Temel, Maria Atalaia Rosa, Leandro Lorenzelli, Georges Gielen
{"title":"A Fingertip-Mimicking 12×16 200μm-Resolution e-skin Taxel Readout Chip with per-Taxel Spiking Readout and Embedded Receptive Field Processing","authors":"Mark Daniel Alea, Ali Safa, Flavio Giacomozzi, Andrea Adami, Inci Rüya Temel, Maria Atalaia Rosa, Leandro Lorenzelli, Georges Gielen","doi":"10.1109/tbcas.2024.3387545","DOIUrl":"https://doi.org/10.1109/tbcas.2024.3387545","url":null,"abstract":"","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140567993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SC-PLR: An Approximate Spiking Neural Network Accelerator with On-Chip Predictive Learning Rule SC-PLR：具有片上预测学习规则的近似尖峰神经网络加速器
IF 5.1 2区 医学
IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2024-04-09 DOI: 10.1109/tbcas.2024.3385235
Wei Liu, Shanlin Xiao, Yue Liu, Zhiyi Yu
{"title":"SC-PLR: An Approximate Spiking Neural Network Accelerator with On-Chip Predictive Learning Rule","authors":"Wei Liu, Shanlin Xiao, Yue Liu, Zhiyi Yu","doi":"10.1109/tbcas.2024.3385235","DOIUrl":"https://doi.org/10.1109/tbcas.2024.3385235","url":null,"abstract":"","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140567960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Energy-Efficient ECG Processor with Ultra-Low-Parameter Multi-Stage Neural Network and Optimized Power-of-Two Quantization 采用超低参数多级神经网络和优化的二倍功率量化技术的高能效心电图处理器
IF 5.1 2区 医学
IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2024-04-08 DOI: 10.1109/tbcas.2024.3385993
Zuo Zhang, Yunqi Guan, WenBin Ye
{"title":"An Energy-Efficient ECG Processor with Ultra-Low-Parameter Multi-Stage Neural Network and Optimized Power-of-Two Quantization","authors":"Zuo Zhang, Yunqi Guan, WenBin Ye","doi":"10.1109/tbcas.2024.3385993","DOIUrl":"https://doi.org/10.1109/tbcas.2024.3385993","url":null,"abstract":"","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140567992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
3D Position Tracking using On-chip Magnetic Sensing in Image-guided Navigation Bronchoscopy 在图像导航支气管镜检查中使用片上磁感应进行三维位置跟踪
IF 5.1 2区 医学
IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2024-04-03 DOI: 10.1109/tbcas.2024.3384016
Manish Srivastava, Kilian O’Donoghue, Aleksandr Sidun, H. Alexander Jaeger, Alessandro Ferro, Daragh Crowley, Christian van den Bosch, Marcus Kennedy, Daniel O’Hare, Padraig Cantillon-Murphy
{"title":"3D Position Tracking using On-chip Magnetic Sensing in Image-guided Navigation Bronchoscopy","authors":"Manish Srivastava, Kilian O’Donoghue, Aleksandr Sidun, H. Alexander Jaeger, Alessandro Ferro, Daragh Crowley, Christian van den Bosch, Marcus Kennedy, Daniel O’Hare, Padraig Cantillon-Murphy","doi":"10.1109/tbcas.2024.3384016","DOIUrl":"https://doi.org/10.1109/tbcas.2024.3384016","url":null,"abstract":"","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140567884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Portable Cardiac Dynamic Monitoring System in the Framework of Electro-Mechano-Acoustic Mapping. 电子机械声绘图框架下的便携式心脏动态监测系统
IF 5.1 2区 医学
IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2023-08-22 DOI: 10.1109/TBCAS.2023.3307188
Zhixing Gao, Yuqi Wang, Xingchen Xu, Chaohong Zhang, Zhiwei Dai, Haiying Zhang, Jun Zhang, Hao Yang
{"title":"A Portable Cardiac Dynamic Monitoring System in the Framework of Electro-Mechano-Acoustic Mapping.","authors":"Zhixing Gao, Yuqi Wang, Xingchen Xu, Chaohong Zhang, Zhiwei Dai, Haiying Zhang, Jun Zhang, Hao Yang","doi":"10.1109/TBCAS.2023.3307188","DOIUrl":"10.1109/TBCAS.2023.3307188","url":null,"abstract":"<p><p>Abnormalities in cardiac function arise irregularly and typically involve multimodal electrical, mechanical vibrations, and acoustics alterations. This paper proposes an Electro-Mechano-Acoustic (EMA) activity model for mapping the complete macroscopic cardiac function to refine the systematic interpretation of cardiac multimodal assessment. We abstract this activity pattern and build the mapping system by analyzing the functional comparison of the heart pump and Electronic Fuel Injection (EFI) system from the multimodal characteristics of the heart. Electrocardiogram (ECG), seismocardiogram (SCG) & Ultra-Low Frequency seismocardiogram (ULF-SCG), and Phonocardiogram (PCG) are selected to implement the EMA mapping respectively. First, a novel low-frequency cardiograph compound sensor capable of extracting both SCG and ULF-SCG is proposed, which is integrated with ECG and PCG modules on a single hardware device for portable dynamic acquisition. Afterward, a multimodal signal processing chain further analyses the acquired synchronized signals, and the extracted ULF-SCG is shown to indicate changes in heart volume. In particular, the proposed method based on waveform curvature is used to extract 9 feature points of the SCG signal, and the overall recognition accuracy reaches over 90% in the data collected by EMA portable device. Ultimately, we integrate the portable device and signal processing chains to form the EMA cardiovascular mapping system (EMACMS). As a next-generation system solution for cardiac daily dynamic monitoring, which can map the mechanical coupling and electromechanical coupling process, extract multi-characteristic heart rate variability (HRV), and enable extraction of important time intervals of cardiac activity to assess cardiac function.</p>","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10081420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Energy-Efficient Intelligent ECG Monitoring for Wearable Devices 面向可穿戴设备的节能智能心电监测
IF 5.1 2区 医学
IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2019-07-22 DOI: 10.1109/TBCAS.2019.2930215
Ni Wang, Jun Zhou, Guanghai Dai, Jiahui Huang, Yuxiang Xie
{"title":"Energy-Efficient Intelligent ECG Monitoring for Wearable Devices","authors":"Ni Wang, Jun Zhou, Guanghai Dai, Jiahui Huang, Yuxiang Xie","doi":"10.1109/TBCAS.2019.2930215","DOIUrl":"https://doi.org/10.1109/TBCAS.2019.2930215","url":null,"abstract":"Wearable intelligent ECG monitoring devices can perform automatic ECG diagnosis in real time and send out alert signal together with abnormal ECG signal for doctor's further analysis. This provides a means for the patient to identify their heart problem as early as possible and go to doctors for medical treatment. For such system the key requirements include high accuracy and low power consumption. However, the existing wearable intelligent ECG monitoring schemes suffer from high power consumption in both ECG diagnosis and transmission in order to achieve high accuracy. In this work, we have proposed an energy-efficient wearable intelligent ECG monitor scheme with two-stage end-to-end neural network and diagnosis-based adaptive compression. Compared to the state-of-the-art schemes, it significantly reduces the power consumption in ECG diagnosis and transmission while maintaining high accuracy.","PeriodicalId":13151,"journal":{"name":"IEEE Transactions on Biomedical Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TBCAS.2019.2930215","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62967101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 36
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信