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MDPI Bioengineering睡眠医学领域文献精选

  MDPI Bioengineering睡眠医学领域文献精选。期刊名:Bioengineering

   期刊主页:https://www.mdpi.com/journal/bioengineering

   睡眠医学与可穿戴健康监测的交叉领域正经历着前所未有的技术变革。从柔性传感器、边缘人工智能到新型矫治器设计,研究者们正在重新定义睡眠相关疾病的诊断、治疗与长期管理方式。本专题汇集了15篇发表于Bioengineering期刊的前沿研究,涵盖睡眠呼吸暂停的诊疗创新、可穿戴与无感监测技术、人工智能辅助诊断,以及心血管风险评估等方向,集中呈现了该领域从生物信号走向临床应用的最新探索。

   1. From Biosignals to Bedside: A Review of Real-Time Edge Machine Learning for Wearable Health Monitoring

   从生物信号到临床:关于可穿戴健康监测实时边缘机器学习综述

   https://www.mdpi.com/2306-5354/13/5/559

   Oloko-Oba, M.; Esenogho, E.; Aruleba, K. From Biosignals to Bedside: A Review of Real-Time Edge Machine Learning for Wearable Health Monitoring. Bioengineering 2026, 13, 559. https://doi.org/10.3390/bioengineering13050559

   2.Most Custom Oral Appliances for Obstructive Sleep Apnea Do Not Meet the Definition of Custom

   大多数用于阻塞性睡眠呼吸暂停的定制口腔器械不符合定制的定义

   https://www.mdpi.com/2306-5354/12/8/798

   Liptak, L.A.; Mosca, E.; Sall, E.; Charkhandeh, S.; Kim, S.; Remmers, J.E. Most Custom Oral Appliances for Obstructive Sleep Apnea Do Not Meet the Definition of Custom. Bioengineering 2025, 12, 798. https://doi.org/10.3390/bioengineering12080798

   3. Different Oral Appliance Designs Demonstrate Different Rates of Efficacy for the Treatment of Obstructive Sleep Apnea: A Review Article

   不同口腔矫治器设计对治疗阻塞性睡眠呼吸暂停的疗效不同:综述文章

   https://www.mdpi.com/2306-5354/12/2/210

   Liptak, L.A.; Sall, E.; Kim, S.; Mosca, E.; Charkhandeh, S.; Remmers, J.E. Different Oral Appliance Designs Demonstrate Different Rates of Efficacy for the Treatment of Obstructive Sleep Apnea: A Review Article. Bioengineering 2025, 12, 210. https://doi.org/10.3390/bioengineering12020210

   4. Artificial Intelligence Models for the Automation of Standard Diagnostics in Sleep Medicine—A Systematic Review

   用于睡眠医学标准诊断自动化的人工智能模型——系统综述

   https://www.mdpi.com/2306-5354/11/3/206

   Alattar, M.; Govind, A.; Mainali, S. Artificial Intelligence Models for the Automation of Standard Diagnostics in Sleep Medicine—A Systematic Review. Bioengineering 2024, 11, 206. https://doi.org/10.3390/bioengineering11030206

   5. Design and Systematic Evaluation of a Multi-Layered Mattress System for Accurate, Unobtrusive Capacitive ECG Monitoring

   用于准确、不显眼的电容性心电监测的多层床垫系统的设计和系统评估

   https://www.mdpi.com/2306-5354/12/12/1348

   Cui, R.; Wang, K.; Zheng, X.; Li, J.; Cao, S.; Chen, H.; Chen, W.; Chen, C.; Luo, J. Design and Systematic Evaluation of a Multi-Layered Mattress System for Accurate, Unobtrusive Capacitive ECG Monitoring. Bioengineering 2025, 12, 1348. https://doi.org/10.3390/bioengineering12121348

   6. A Novel Multi-Modal Flexible Headband System for Sleep Monitoring

   一种新型多模态柔性头带睡眠监测系统

   https://www.mdpi.com/2306-5354/12/10/1103

   Wang, Z.; Ding, Y.; Chen, H.; Chen, C.; Chen, W. A Novel Multi-Modal Flexible Headband System for Sleep Monitoring. Bioengineering 2025, 12, 1103. https://doi.org/10.3390/bioengineering12101103

   7. Eliminating the Need for Anesthesia in Sleep Endoscopy: A Comparative Study of Traditional Nasopharyngoscope Design Versus NasoLens

   消除睡眠内镜麻醉的需要:传统鼻咽镜设计与鼻透镜的比较研究

   https://www.mdpi.com/2306-5354/12/6/572

   Lin, Y.-T.; Shih, C.-W.; Chen, N.; Lu, H.-T.; Chu, W.-C.; Chen, K.-C. Eliminating the Need for Anesthesia in Sleep Endoscopy: A Comparative Study of Traditional Nasopharyngoscope Design Versus NasoLens. Bioengineering 2025, 12, 572. https://doi.org/10.3390/bioengineering12060572

   8. AttenCRF-U: Joint Detection of Sleep-Disordered Breathing and Leg Movements in OSA Patients

   阻塞性睡眠呼吸障碍患者睡眠呼吸和腿部运动的联合检测

   https://www.mdpi.com/2306-5354/12/6/571

   Li, Q.; Li, K.; Fu, C.; Zhang, Y.; Yu, H.; Chen, C.; Chen, W. AttenCRF-U: Joint Detection of Sleep-Disordered Breathing and Leg Movements in OSA Patients. Bioengineering 2025, 12, 571. https://doi.org/10.3390/bioengineering12060571

   9. Detection of Sleep Posture via Humidity Fluctuation Analysis in a Sensor-Embedded Pillow

   基于湿度波动分析的传感器枕头睡眠姿势检测

   https://www.mdpi.com/2306-5354/12/5/480

   Jun, W.-H.; Hong, Y.-S. Detection of Sleep Posture via Humidity Fluctuation Analysis in a Sensor-Embedded Pillow. Bioengineering 2025, 12, 480. https://doi.org/10.3390/bioengineering12050480

   10. Event-Level Identification of Sleep Apnea Using FMCW Radar

   FMCW雷达在事件级识别睡眠呼吸暂停

   https://www.mdpi.com/2306-5354/12/4/399

   Zhang, H.; Bo, S.; Zhang, X.; Wang, P.; Du, L.; Li, Z.; Wu, P.; Chen, X.; Jiang, L.; Fang, Z. Event-Level Identification of Sleep Apnea Using FMCW Radar. Bioengineering 2025, 12, 399. https://doi.org/10.3390/bioengineering12040399

   11. An Explainable Fusion of ECG and SpO2-Based Models for Real-Time Sleep Apnea Detection

   基于心电图和spo2的实时睡眠呼吸暂停检测模型的可解释融合

   https://www.mdpi.com/2306-5354/12/4/382

   Paul, T.; Hassan, O.; McCrae, C.S.; Islam, S.K.; Mosa, A.S.M. An Explainable Fusion of ECG and SpO2-Based Models for Real-Time Sleep Apnea Detection. Bioengineering 2025, 12, 382. https://doi.org/10.3390/bioengineering12040382

   12. An Effective and Interpretable Sleep Stage Classification Approach Using Multi-Domain Electroencephalogram and Electrooculogram Features

   一种基于脑电图和眼电特征的有效且可解释的睡眠阶段分类方法

   https://www.mdpi.com/2306-5354/12/3/286

   Xu, X.; Zhang, B.; Xu, T.; Tang, J. An Effective and Interpretable Sleep Stage Classification Approach Using Multi-Domain Electroencephalogram and Electrooculogram Features. Bioengineering 2025, 12, 286. https://doi.org/10.3390/bioengineering12030286

   13. Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes

   基于多导睡眠图表型预测抑郁症的可解释人工智能模型

   https://www.mdpi.com/2306-5354/12/2/186

   Enkhbayar, D.; Ko, J.; Oh, S.; Ferdushi, R.; Kim, J.; Key, J.; Urtnasan, E. Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes. Bioengineering 2025, 12, 186. https://doi.org/10.3390/bioengineering12020186

   14. Outlier Handling Strategy of Ensembled-Based Sequential Convolutional Neural Networks for Sleep Stage Classification

   基于集成的序列卷积神经网络睡眠阶段分类异常点处理策略

   https://www.mdpi.com/2306-5354/11/12/1226

   Zhou, W.; Zhu, H.; Chen, W.; Chen, C.; Xu, J. Outlier Handling Strategy of Ensembled-Based Sequential Convolutional Neural Networks for Sleep Stage Classification. Bioengineering 2024, 11, 1226. https://doi.org/10.3390/bioengineering11121226

   15. Remote Monitoring of Sympathovagal Imbalance During Sleep and Its Implications in Cardiovascular Risk Assessment: A Systematic Review

   睡眠时交感迷走神经失衡的远程监测及其在心血管风险评估中的意义:一项系统综述

   https://www.mdpi.com/2306-5354/11/10/1045

   van Es, V.A.A.; de Lathauwer, I.L.J.; Kemps, H.M.C.; Handjaras, G.; Betta, M. Remote Monitoring of Sympathovagal Imbalance During Sleep and Its Implications in Cardiovascular Risk Assessment: A Systematic Review. Bioengineering 2024, 11, 1045. https://doi.org/10.3390/bioengineering11101045

   Bioengineering期刊介绍

   主编:Anthony Guiseppi-Elie, Texas AM University, USA

   期刊专注于发表生物医学工程及应用,生物分子、细胞和组织工程及其应用,生物工艺和生物系统工程及应用,生物化学工程与应用,生物信号处理与分析,仿生学与生物控制论,生物电子学和转化生物工程等相关的最新科学技术及应用等相关的研究成果。刊载研究论文、综述及短讯,鼓励学者发表详细的实验和理论结果。期刊已被pubmed、Scopus、SCIE (Web of Sciences) 等数据库收录。

   2025 Impact Factor:4.4

   2025 CiteScore:7.5

   Time to First Decision:16.9 Days

   Acceptance to Publication:3.1 Days

  
来源:Bioengineering

MDPI Bioengineering睡眠医学领域文献精选

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