来源：Bioengineering 发布时间：2026/7/10 15:04:35

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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的综述

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.Bioengineering2026, 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.Bioengineering2025, 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.Bioengineering2025, 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.Bioengineering2024, 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.Bioengineering2025, 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.Bioengineering2025, 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.Bioengineering2025, 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.Bioengineering2025, 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.Bioengineering2025, 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.Bioengineering2025, 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.Bioengineering2025, 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.Bioengineering2025, 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.Bioengineering2025, 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.Bioengineering2024, 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.Bioengineering2024, 11,1045.https://doi.org/10.3390/bioengineering11101045

Bioengineering期刊介绍

主编：Anthony Guiseppi-Elie, Texas A&M 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