← 返回
储能系统技术 储能系统 可靠性分析 ★ 4.0

呼吸监测可穿戴设备最新技术综述

State of the Art Review of Wearable Devices for Respiratory Monitoring

作者 Zhiyu Jia · Hannah Huth · Wen Qi Teoh · Sheng Xu · Bradford Wood · Zion Tsz Ho Tse
期刊 IEEE Access
出版日期 2025年1月
技术分类 储能系统技术
技术标签 储能系统 可靠性分析
相关度评分 ★★★★ 4.0 / 5.0
关键词 呼吸监测 可穿戴设备 传感器 挑战 解决方案
语言:

中文摘要

呼吸频率和容量是诊断和管理哮喘和慢性阻塞性肺病COPD等呼吸疾病的基本生理信号。可穿戴设备已成为连续非侵入性呼吸监测和数据门户的变革性工具,提供对临床和家庭环境至关重要的海量实时数据。本最新综述深入探讨可穿戴呼吸监测设备的进展和应用,特别关注惯性测量单元IMU、压阻传感器和光纤传感器。详细分析传感器设计、传感方法和临床应用,突出关键研究如用于呼吸频率监测的低成本IMU设备开发和压阻传感器集成实现实时呼吸率检测。综述识别主要挑战包括功率效率、人体工程学设计、数据准确性和数据隐私问题,并介绍近期研究提出的创新解决方案。建议未来研究方向以应对这些挑战并进一步增强可穿戴呼吸监测设备的能力和可靠性。

English Abstract

Respiratory frequency and volume are essential physiological signals for diagnosing and managing respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD). Wearable devices have emerged as a transformative tool for continuous, non-invasive respiratory monitoring and data portals, providing massive real-time data critical for both clinical and home settings. This state-of-the-art review delves into the advancements and applications of wearable respiratory monitoring devices, specifically focusing on inertial measurement units (IMUs), piezoresistive sensors, and optical fibre sensors. Detailed analyses of sensor designs, sensing methods, and clinical applications are presented, highlighting key studies such as the development of low-cost IMU devices for breathing frequency monitoring and the integration of piezoresistive sensors for real-time respiratory rate detection. This review identifies major challenges, including power efficiency, ergonomic design, data accuracy, and data privacy concerns. It also introduces innovative solutions proposed in recent research. Future research directions are suggested to address these challenges and further enhance the capabilities and reliability of wearable respiratory monitoring devices. This review underscores the potential of wearable technology to improve patient outcomes and reduce resource cost through enabling early diagnosis, facilitating continuous health monitoring, and supporting artificial intelligence applications through data generation.
S

SunView 深度解读

该可穿戴设备技术对阳光电源物联网产品和智能运维系统有借鉴意义。虽然阳光主要聚焦能源设备,但可穿戴传感器的低功耗设计、数据处理和无线通信技术可应用于阳光分布式监控设备。IMU和压阻传感器技术可用于阳光设备振动监测和状态感知。功率效率优化方法对阳光电池供电传感器设计有参考价值。该综述强调的数据隐私和AI应用,与阳光iSolarCloud平台的数据安全和智能诊断需求一致,可支撑阳光拓展智能传感和健康管理领域。