(Peer-Reviewed) Unlocking home-based nocturnal health management: A fiber-optic approach for early detection of cardiorespiratory rhythm disorders
Hanyu Jin 金晗宇 ¹ ⁴, Hao Li 李豪 ¹ ⁴ ⁵, Zhuolin Chen 陈卓霖 ¹, Liangye Li 李良晔 ³, Zurui Wang 王祖瑞 ¹, Kai Zhou 周凯 ¹, Weijian Hang 杭伟健 ², Zhipeng Chen 陈志鹏 ¹, Junfeng Chen 陈俊峰 ¹ ⁴, Kai Shen 沈凯 ⁴, Jianfeng Wen 温剑峰 ⁴, Chen Chen 陈琛 ², Cunzheng Fan 范存政 ¹ ⁴, Zhijun Yan 闫志君 ¹ ⁴, Feng Wang 王峰 ², Qizhen Sun 孙琪真 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 心血管病遗传与分子机制湖北省重点实验室
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.
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