医学 AI

Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation

Jyoti Narwariya, Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Gautam Shroff

专题命中 健康监测 ：diagnosis(abstract)；分类 cs.LG

Comments Accepted at AAAI workshop DLGMA'20

Real-Time Fault Detection and Process Control Based on Multi-channel Sensor Data Fusion

Feng Ye, Zhijie Xia, Min Dai, Zhisheng Zhang

专题命中 健康监测 ：diagnosis(abstract)；分类 eess.SP

Probabilistic modelling of gait for robust passive monitoring in daily life

Yordan P. Raykov, Luc J. W. Evers, Reham Badawy, Bastiaan Bloem, Tom M. Heskes, Marjan Meinders, Kasper Claes, Max A. Little

专题命中 健康监测 ：diagnosis(abstract)；分类 eess.SP

Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control

Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil Dutt, Marco Levorato

专题命中 健康监测 ：diagnosis(abstract)；分类 eess.SP

Towards Low-power Wearable Wireless Sensors for Molecular Biomarker and Physiological Signal Monitoring

Xueyuan Zhao, Vidyasagar Sadhu, Tuan Le, Dario Pompili, Mehdi Javanmard

专题命中 健康监测 ：biomedical(abstract)；分类 eess.SP

Comments 4 pages ISCAS 2017. arXiv admin note: substantial text overlap with arXiv:1907.00328

Journal ref IEEE International Symposium on Circuits and Systems (ISCAS), 2017, pp. 1-4

Blind separation of rotor vibration signals in high-noise environments

Pengfei Xu, Yinjie Jia, Zhijian Wang

专题命中 健康监测 ：diagnosis(abstract)；分类 eess.SP

Comments 8 pages, 4 figures

Online Algorithm for Unsupervised Sensor Selection

Arun Verma, Manjesh K. Hanawal, Csaba Szepesvári, Venkatesh Saligrama

专题命中 健康监测 ：diagnosis(abstract)；分类 cs.LG

Comments Accepted at AIStats 2019

Probabilistic modelling of gait for remote passive monitoring applications

Yordan P. Raykov, Luc J. W. Evers, Reham Badawy, Marjan J. Faber, Bastiaan R. Bloem, Kasper Claes, Max A. Little

专题命中 健康监测 ：diagnosis(abstract)；分类 eess.SP

Comments Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:cs/0101200

ApproxCS: Near-Sensor Approximate Compressed Sensing for IoT-Healthcare Systems

Ayesha Siddique, Osman Hasan, Faiq Khalid, Muhammad Shafique

专题命中 健康监测 ：biomedical(abstract)；分类 eess.SP

Deep Neural Networks for ECG-free Cardiac Phase and End-Diastolic Frame Detection on Coronary Angiographies

Costin Ciusdel, Alexandru Turcea, Andrei Puiu, Lucian Itu, Lucian Calmac, Emma Weiss, Cornelia Margineanu, Elisabeta Badila, Martin Berger, Thomas Redel, Tiziano Passerini, Mehmet Gulsun, Puneet Sharma

专题命中 健康监测 ：pathology(abstract)；分类 cs.CV

Comments 16 pages, 9 figures

Wearable, Epidermal, and Implantable Sensors for Medical Applications

Nadeen Rishani, Hadeel Elayan, Raed Shubair, Asimina Kiourti

专题命中 健康监测 ：biomedical(abstract)；分类 eess.SP

Comments 48 pages

Wavelet analysis in problems of classification of ECG signals

N. K. Smolentsev, P. N. Podkur

专题命中 健康监测 ：diagnosis(abstract)；分类 eess.SP

Comments 15 pages, 5 figures

Journal ref SCIENCE EVOLUTION, 2016, vol. 1, no. 1, 63-71

A Generative Modeling Approach to Limited Channel ECG Classification

Deepta Rajan, Jayaraman J. Thiagarajan

专题命中 健康监测 ：diagnosis(abstract)；分类 cs.LG

ECG encryption and identification based security solution on the Zynq SoC for connected health systems

Xiaojun Zhai, Amine Ait Si Ali, Abbes Amira, Faycal Bensaali

专题命中 健康监测 ：diagnosis(abstract)；分类 eess.SP

Computer Aided ECG Analysis - State of the Art and Upcoming Challenges

Marko Velic, Ivan Padavic, Sinisa Car

专题命中 健康监测 ：diagnosis(abstract)；分类 cs.CV

Comments 7 pages, 3 figures, IEEE EUROCON 2013 International conference on computer as a tool, 1-4 July 2013, Zagreb, Croatia

Multi-Sensor Fusion via Reduction of Dimensionality

Alon Schclar

专题命中 健康监测 ：MRI(abstract)；分类 cs.CV

Comments PhD Thesis, Tel Aviv Univ, 2008

A Logic-based Temporal Cohort Discovery Engine: Algorithms, Indices, and Experimental Results on the National Sleep Research Resource

基于逻辑的时间队列发现引擎：算法、索引及在国家睡眠研究资源上的实验结果

Yan Huang, Xiaojin Li, Licong Cui, Guo-Qiang Zhang

专题命中 健康监测 ：biomedical(abstract,comments)

AI总结 研究针对大型睡眠研究库队列发现问题，提出基于逻辑的时间队列发现引擎，采用QEL和BEST，组织成三种查询模式，用Python实现原型并评估，2DFC构建索引性能优，队列选择查询高效，是符号生物医学计划一部分。

Comments Under review by the Journal of Biomedical Informatics (JBI)

Reliable Noninvasive Glucose Sensing via CNN-Based Spectroscopy

El Arbi Belfarsi, Henry Flores, Maria Valero

机构 * Department of Computer Science（计算机科学系） ； Kennesaw State University（肯纳邦大学） ； Department of Information Technology（信息技术系） 纠错

专题命中 健康监测 ：分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments Submitted to the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2025)

Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network

Muhammad Uzair Zahid, Serkan Kiranyaz, Turker Ince, Ozer Can Devecioglu, Muhammad E. H. Chowdhury, Amith Khandakar, Anas Tahir, Moncef Gabbouj

专题命中 健康监测 ：分类 cs.CV、cs.LG、eess.SP；biomedical(journal_ref)

Journal ref IEEE Transactions on Biomedical Engineering ( Volume: 69, Issue: 1, Jan. 2022)

Development of a miniaturized motion sensor for tracking warning signs of low-back pain

Jérôme Molimard, Tristan Delettraz, Etienne Ojardias

专题命中 健康监测 ：diagnosis(abstract)；biomedical(journal_ref)

Journal ref 14th International Conference on Biomedical Electronics and Devices, Feb 2021, Online Streaming, Portugal. pp.129-134

Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential

Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L Sapp, B. Milan Horacek, Linwei Wang

专题命中 健康监测 ：分类 cs.LG、eess.IV、eess.SP；medical image(journal_ref)

Journal ref In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 508-516. Springer, Cham, 2018

Toward a Dynamical Taxonomy of Insomnia: A Multiaxial Framework for Sleep-State Transitions and Architectural Failure

迈向失眠的动态分类学：睡眠状态转换与结构异常的多轴框架

Alexander Poltorak

专题命中 健康监测 ：diagnosis(abstract)；分类 q-bio

AI总结 本研究提出多轴动态框架，以失效的动态运作等为候选特征，用于失眠的分类，其可改善交流、分层与预测，框架为现象学组织模型而非新诊断系统。

Comments 28 pages, 3 figures

Robust and Generalizable Atrial Fibrillation Detection from ECG Using Time-Frequency Fusion and Supervised Contrastive Learning

基于时频融合与监督对比学习的ECG心房颤动鲁棒检测方法

Hongtao Li, Jia Wei, Jia Xiao, Yuanjun Lai, Mingyang Liu, Shuzhen Lv, Xueqiang Ouyang

专题命中 健康监测 ：diagnosis(abstract)；分类 q-bio

AI总结 本文提出一种结合时频融合与监督对比学习的ECG心房颤动检测方法，通过双向门控模块和跨模态学习策略提升模型鲁棒性和跨数据集泛化能力。

FetalSleepNet: A Transfer Learning Framework with Spectral Equalisation Domain Adaptation for Fetal Sleep Stage Classification

FetalSleepNet：一种基于频谱均衡域适应的迁移学习框架用于胎儿睡眠阶段分类

Weitao Tang, Johann Vargas-Calixto, Nasim Katebi, Nhi Tran, Sharmony B. Kelly, Gari D. Clifford, Robert Galinsky, Faezeh Marzbanrad

机构 * Department of Biomedical Informatics, Emory University（埃默里大学生物医学信息学系） ； Ritchie Centre, Hudson Institute of Medical Research（哈德逊医学研究所里奇中心） ； Department of Biomedical Engineering, Georgia Institute of Technology（佐治亚理工学院生物医学工程系） ； Department of Obstetrics and Gynaecology, Monash University（莫纳什大学妇产科学系） ； Department of Electrical and Computer Systems Engineering, Monash University（莫纳什大学电气与计算机系统工程系） 纠错

专题命中 健康监测 ：biomedical(comments,journal_ref)；分类 cs.LG、eess.SP

AI总结 本文提出FetalSleepNet，首次利用深度学习对羊胎儿EEG进行睡眠阶段分类，通过迁移学习和频谱均衡域适应策略提升分类准确率，实现自动化睡眠阶段识别，为临床应用提供支持。

Comments 13 pages, 4 tables, 5 figures, submitted to IEEE Journal of Biomedical and Health Informatics

Journal ref IEEE Journal of Biomedical and Health Informatics (Early Access), 2026

Early Pre-Stroke Detection via Wearable IMU-Based Gait Variability and Postural Drift Analysis

通过可穿戴IMU的步态变异性与体位漂移分析实现早期中风风险检测

Chanakan Chaipan, Aueaphum Aueawatthanaphisut

专题命中 健康监测 ：diagnosis(abstract)；分类 q-bio

AI总结 本文提出基于可穿戴传感器的框架，利用单个IMU捕捉骨盆运动，通过步态变异性与体位漂移分析早期中风风险，验证了低成本非侵入式筛查方法的可行性。

Comments 6 pages, 5 figures, 20 equations

Project Hermes: A Model-Agnostic Validation Layer for Wearable Health Prediction Systems

Project Hermes: 一种面向可穿戴健康预测系统的模型无关验证层

Richik Chakraborty

专题命中 健康监测 ：diagnosis(abstract)；分类 q-bio

AI总结 Project Hermes通过模型无关的验证层，有效降低健康预测系统的假阳性率，提升临床信号的验证准确性。

Exploring the changes in brain network SC-FC coupling patterns of partial sleep deprivation based on DTI-fMRI fusion analysis

基于DTI-fMRI融合分析探讨部分睡眠剥夺对脑网络SC-FC耦合模式变化的影响

Mengyuan Liu, Jing Hu, Zhenzhen Ru, Ruomeng Quan, Xu Zhang, Ning Qiang, Jin Li

专题命中 健康监测 ：MRI(abstract)；分类 q-bio

AI总结 本研究通过DTI-fMRI融合分析，探讨部分睡眠剥夺对脑网络SC-FC耦合模式的影响，发现睡眠剥夺导致神经网络结构和功能连接的异常，提出SC-FC耦合方法作为睡眠相关情绪失调的新型生物标记物。

[Beat-to-beat AV nodal assessment] ECG-based beat-to-beat assessment of AV node conduction properties during AF

Mattias Karlsson, Felix Plappert, Pyotr G Platonov, Sten Östenson, Mikael Wallman, Frida Sandberg

专题命中 健康监测 ：diagnosis(abstract)；分类 q-bio

3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network

Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao

专题命中 健康监测 ：biomedical(comments,journal_ref)；分类 cs.CV、cs.LG

Comments To be published at the 2023 IEEE Biomedical Circuits and Systems (BioCAS) Conference

Journal ref 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)

Shorter duration of slow wave sleep is related to symptoms of depression in patients with epilepsy

Stefanía Eyjolfsdóttir, Eugen Trinka, Yvonne Höller

专题命中 健康监测 ：diagnosis(abstract)；分类 q-bio

Comments accepted in Epilepsy & Behavior on 02.11.23