(Peer-Reviewed) Unlocking home-based nocturnal health management: A fiber-optic approach for early detection of cardiorespiratory rhythm disorders
Hanyu Jin ¹ ⁴, Hao Li ¹ ⁴ ⁵, Zhuolin Chen ¹, Liangye Li ³, Zurui Wang ¹, Kai Zhou ¹, Weijian Hang ², Zhipeng Chen ¹, Junfeng Chen ¹ ⁴, Kai Shen ⁴, Jianfeng Wen ⁴, Chen Chen ², Cunzheng Fan ¹ ⁴, Zhijun Yan ¹ ⁴, Feng Wang ², Qizhen Sun ¹ ⁴
¹ School of Optical and Electronic Information, National Engineering Research Center of Next Generation Internet Access-system (NGIA), Huazhong University of Science and Technology, Wuhan 430074, China
中国 武汉 华中科技大学光学与电子信息学院 下一代互联网接入系统国家工程研究中心(NGIA)
² Division of Cardiology, Department of Internal Medicine and Hubei Key Laboratory of Genetics and Molecular Mechanism of Cardiologic Disorders, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China
中国 武汉 华中科技大学同济医学院附属同济医院心血管内科 湖北省心血管疾病遗传与分子机制重点实验室
³ School of Information Mechanics and Sensing Engineering, Xidian University, Xi'an 710071, China
中国 西安 西安电子科技大学信息力学与感知工程学院
⁴ HUST-Wuxi Research Institute, Wuxi 214174, China
中国 无锡 华中科技大学无锡研究院
⁵ School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
Opto-Electronic Advances, 2026-07-10
Abstract
Cardiorespiratory rhythm disorders (CRD) are prevalent yet underdiagnosed conditions with substantial health risks. Current diagnostic methods are limited by invasiveness, intermittent symptom presentation, and low sensitivity during wakefulness. Sleep, by contrast, offers a stable physiological state ideal for early CRD detection.
Here, we introduce a fiber-optic vital sign monitoring pillow (VSMP) that aims to realize the vision of home-based nocturnal health management, leveraging natural sleep for the accurate and unobtrusive early detection of CRD. By integrating fiber-optic sensing, biomechanical engineering, and advanced signal processing, the VSMP achieves early CRD detection through heart rate variability analysis and Lorenz scatter plots, while also facilitating blood pressure estimation (<8% error).
Thus, we present VSMP as a new paradigm that transforms passive sleep into an active diagnostic session, paving the way for data-driven, personalized health management and proactive, precision medicine directly in the home environment.
Triplet exciton harvesting via TADF in hafnium chlorides array scintillator screen enables ultrahigh-resolution X-ray imaging
Jun'an Lai, Yi Ye, Xu Liu, Sijun Cao, Shiji Zhou, Wenxia Zhang, Kang An, Peng He, Tingming Jiang, Xiaosheng Tang, Rui Zhou, Dong Zhang
Opto-Electronic Advances
2026-06-08
Vacancy oscillating mode in amorphous binary oxide film by terahertz time domain spectroscopy
Huan Liu, Haiyun Huang, Heng Yu, Zhi Gong, Fei Yu, Zheng Zhang, Zhiyong Tan, Juncheng Cao, Haiyun Liu, Kan-Hao Xue, Xiangshui Miao, Yan Liu, Yue Hao, Genquan Han, Qihua Xiong
Opto-Electronic Advances
2026-06-08
Emerging optical techniques for sorting and detection of chiral particles
Yuzhi Shi, Chengfeng Li, Xiaolei Lin, Wenwen Xue, Chengxing Lai, Tao He, Qinghua Song, Zhanshan Wang, Yulan Wang, Din Ping Tsai, Xinbin Cheng, Haidong Zou
Opto-Electronic Advances
2026-06-08
Phonon-assisted absorption photoconductive switch
Zhao Wang, Lixin Zhang, Lu Cheng, Danwen Zhang, Yu Lu, Naiji Zhang, Xin Zhang, Duanyang Chen, Zhan Sui, Hongji Qi, Wei Zheng
Opto-Electronic Science
2026-05-25
Photonic spiking reinforcement learning for intelligent routing
Shuiying Xiang, Yonghang Chen, Ling Zheng, Zhicong Tu, Xintao Zeng, Mengting Yu, Shuai Wang, Yahui Zhang, Xingxing Guo, Weitao Pan, Yue Hao
Opto-Electronic Science
2026-05-25