医学 AI

A stiffness sensor to help in the diagnosis and the surgery of orbital pathologies

Vincent Luboz, Dominique Ambard, Franck Boutault, Pascal Swider, Yohan Payan

专题命中 健康监测 ：diagnosis(title)

Journal ref Proceedings of the Second International Conference Surgetica'2005: Computer-Aided Medical Interventions: tools and applications. Sauramps Medical Editors (Ed.) (2005) 147-154

Selective Correlation Based Knowledge Distillation for Ground Reaction Force Estimation

基于选择性相关性的知识蒸馏用于地面反作用力估计

Eun Som Jeon, Jisoo Lee, Huisu Lim, Omik M. Save, Hyunglae Lee, Pavan Turaga

机构 * Department of Computer Science and Engineering, Seoul National University of Science and Technology（首尔科学技术大学计算机科学与工程系） ； Geometric Media Lab, School of Computing and Augmented Intelligence, Arizona State University（亚利桑那州立大学几何媒体实验室） ； School for Engineering of Matter, Transport and Energy, Arizona State University（亚利桑那州立大学工程与能量科学学院） 纠错

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

AI总结 本文提出基于选择性相关性的知识蒸馏方法，用于从智能鞋垫传感器数据中准确估计地面反作用力，通过提升模型可解释性和减少高维数据处理问题，实现更高效的实时分析。

Journal ref Measurement, 2026

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook

ECG基础模型与医疗大语言模型用于边缘端心血管智能：综述与展望

Mudassir Hasan Khan, Ahmad Nayfeh, Mudassir Masood, Ali Ahmad Al-Shaikhi, Muhammad Mahboob Ur Rahman, Tareq Y. Al-Naffouri

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

AI总结 本文综述了用于心血管疾病诊断、监测和临床决策支持的ECG基础模型和医疗大语言模型，探讨了其在边缘计算中的应用及未来发展方向。

Comments 18 pages, 4 figures, 4 tables, under review with a journal

Performer: A Novel PPG-to-ECG Reconstruction Transformer for a Digital Biomarker of Cardiovascular Disease Detection

Ella Lan

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

Comments 8 pages, 11 figures

Deep Neural Networks with Weighted Averaged Overnight Airflow Features for Sleep Apnea-Hypopnea Severity Classification

Payongkit Lakhan, Apiwat Ditthapron, Nannapas Banluesombatkul, Theerawit Wilaiprasitporn

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

Journal ref TENCON 2018 - 2018 IEEE Region 10 Conference

MSED: a multi-modal sleep event detection model for clinical sleep analysis

Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sorensen

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

Comments 10 pages, 4 figures. Accepted for publication in IEEE Transactions on Biomedical Engineering

BCoughBench: Benchmarking Respiratory Acoustic Foundation Models Under Body-Coupled Wearable Sensor Conditions

BCoughBench：在体耦合可穿戴传感器条件下对呼吸声学基础模型进行基准测试

Mayur Sanap, Prasanna Desikan, Edgar Lobaton

机构 * Centific Global Solutions Inc.（Centific全球解决方案公司） ； North Carolina State University（北卡罗来纳州立大学） 纠错

专题命中 健康监测 ：CT(abstract,abstract_cn)

AI总结 针对体耦合可穿戴传感器导致高频衰减的问题，提出BCoughBench基准，评估五种呼吸声学基础模型在九项分类和三项回归任务上的性能，发现模型可靠性下降，性别分类性能崩溃，而COVID检测几乎不受影响。

Comments Accepted to the KDD 2026 Workshop on Reliable Scientific Foundation Models (RelSciFM)

BenDi: An Energy-Efficient Quasi-Stochastic Systolic Architecture for Edge Bioelectronics

BenDi: 一种用于边缘生物电子学的节能准随机脉动架构

Bochen Ye, Yihan Pan, Shady Agwa, Themis Prodromakis

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

AI总结 提出BenDi架构，通过低电压、准随机乘法、脉动数据流和硬件感知量化，在边缘设备上高效运行CNN，相比二进制权重固定脉动架构，面积效率提升3.35倍，能效提升5倍，精度损失仅1%-3.3%。

Comments Accepted for presentation as a short paper at International Conference on Application-specific Systems, Architectures and Processors (ASAP 2026)

From Reports to Ontologies: Ontology-Guided Representation Learning for 12-Lead ECG

从报告到本体：本体引导的12导联心电图表示学习

Lei Xu, Fahad Sohrab, Mehmet Yamac, Merja Heinaniemi, Moncef Gabbouj

专题命中 健康监测 ：CT(abstract,abstract_cn)

AI总结 提出MAR-ECG框架，通过本体引导的掩码自回归和图形对齐监督编码器，无需配对临床报告，在低标签设置下优于基线方法，性能与多模态方法相当。

Female anatomies disguise ECG abnormalities following myocardial infarction: an AI-enabled modelling and simulation study

女性解剖结构掩盖心肌梗死后的ECG异常：一种基于人工智能的建模与模拟研究

Hannah Smith, Abhirup Banerjee, Leto Luana Riebel, Ruben Doste, Maxx Holmes, Vicente Grau, Blanca Rodriguez

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

AI总结 本研究利用人工智能建模揭示女性解剖结构导致ECG异常，从而影响心肌梗死诊断和治疗

QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter

Christiaan Boerkamp, Akhil John Thomas

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

Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals

Aruna Mohan, Danne Elbers, Or Zilbershot, Fatemeh Afghah, David Vorchheimer

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

Comments Accepted for publication at the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE EMBC 2024

IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification

Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju. S. Bapi, U. Deva Priyakumar

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

Comments IEEE:SMC 2021

COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network

Tawsifur Rahman, Alex Akinbi, Muhammad E. H. Chowdhury, Tarik A. Rashid, Abdulkadir Şengür, Amith Khandakar, Khandaker Reajul Islam, Aras M. Ismael

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

Comments 24 pages

Journal ref Health Information Science and Systems (2022) 10:1

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification

Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-wei H. Lehman

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

Comments Accepted by IEEE Transactions on Neural Systems and Rehabilitation Engineering(TNSRE)

MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG

Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen

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

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

Amin Ullah, Syed M. Anwar, Muhammad Bilal, Raja M Mehmood

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

Comments 14 pages, 5 figures, accepted for future publication in Remote Sensing MDPI Journal

Journal ref Remote Sensing. 2020; 12(10):1685

Severity Detection Tool for Patients with Infectious Disease

Girmaw Abebe Tadesse, Tingting Zhu, Nhan Le Nguyen Thanh, Nguyen Thanh Hung, Ha Thi Hai Duong, Truong Huu Khanh, Pham Van Quang, Duc Duong Tran, LamMinh Yen, H Rogier Van Doorn, Nguyen Van Hao, John Prince, Hamza Javed, DaniKiyasseh, Le Van Tan, Louise Thwaites, David A. Clifton

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

Automatic ECG Beat Arrhythmia Detection

M. Bazarghan, Y. Jaberi, R. Amandi, M. Abedi

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

Comments 17 pages, 6 figures and 5 tables, Submitted to the BMC Bioinformatics

Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages

Nizar Kerkeni, Frederic Alexandre, Mohamed Hedi Bedoui, Laurent Bougrain, Mohamed Dogui

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

Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives

Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi

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

Comments The paper is under consideration at Biomedical Engineering Letters (Springer)

A Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers

Paola Busia, Matteo Antonio Scrugli, Victor Jean-Baptiste Jung, Luca Benini, Paolo Meloni

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

Comments 2024 IEEE Transactions on Biomedical Circuits and Systems

Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability

Shivam Sharma, Suvadeep Maiti, S. Mythirayee, Srijithesh Rajendran, Raju Surampudi Bapi

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

Comments 12 pages, 9 figures, Under review at IEEE Journal of Biomedical and Health Informatics

Analysis of Digitalized ECG Signals Based on Artificial Intelligence and Spectral Analysis Methods Specialized in ARVC

Vasileios E. Papageorgiou, Thomas Zegkos, Georgios Efthimiadis, George Tsaklidis

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

Comments 28 pages, 10 figures

Journal ref International Journal for Numerical Methods in Biomedical Engineering, 2022

ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram

Jungwoo Oh, Gyubok Lee, Seongsu Bae, Joon-myoung Kwon, Edward Choi

专题命中 健康监测 ：medical image(abstract)；分类 cs.LG、q-bio、eess.SP

Comments Accepted at NeurIPS 2023 Datasets and Benchmarks Track (10 pages for main text, 2 pages for references, 28 pages for supplementary materials)

Automatic Sleep Stage Classification with Cross-modal Self-supervised Features from Deep Brain Signals

Chen Gong, Yue Chen, Yanan Sui, Luming Li

专题命中 健康监测 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.SP

Comments 4 pages, 5 figures, 11th International IEEE EMBS Conference on Neural Engineering (NER)

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria

Reza Sameni, Frédéric Vrins, Fabienne Parmentier, Christophe Hérail, Vincent Vigneron, Michel Verleysen, Christian Jutten, Mohammad B. Shamsollahi

专题命中 健康监测 ：biomedical(abstract)；分类 cs.LG、q-bio、eess.SP

Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging

Antoine Guillot, Fabien Sauvet, Emmanuel H During, Valentin Thorey

专题命中 健康监测 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.SP

Comments 10 pages, journal submitted

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya

专题命中 健康监测 ：diagnosis(abstract)；分类 cs.LG、q-bio、eess.SP

Mixed Neural Network Approach for Temporal Sleep Stage Classification

Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo

专题命中 健康监测 ：diagnosis(abstract)；分类 cs.CV、cs.LG、q-bio

Comments THIS ARTICLE HAS BEEN PUBLISHED IN IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING