Department of Mechanical Engineering, San Diego State University, San Diego, CA 92182, USA.
Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea.
Sensors (Basel). 2023 Jul 29;23(15):6790. doi: 10.3390/s23156790.
Wireless sensing systems are required for continuous health monitoring and data collection. It allows for patient data collection in real time rather than through time-consuming and expensive hospital or lab visits. This technology employs wearable sensors, signal processing, and wireless data transfer to remotely monitor patients' health. The research offers a novel approach to providing primary diagnostics remotely with a digital health system for monitoring pulmonary health status using a multimodal wireless sensor device. The technology uses a compact wearable with new integration of acoustics and biopotentials sensors to monitor cardiovascular and respiratory activity to provide comprehensive and fast health status monitoring. Furthermore, the small wearable sensor size may stick to human skin and record heart and lung activities to monitor respiratory health. This paper proposes a sensor data fusion method of lung sounds and cardiograms for potential real-time respiration pattern diagnostics, including respiratory episodes like low tidal volume and coughing. With a -value of 0.003 for sound signals and 0.004 for electrocardiogram (ECG), preliminary tests demonstrated that it was possible to detect shallow breathing and coughing at a meaningful level.
无线传感系统是连续健康监测和数据收集所必需的。它允许实时收集患者数据，而不是通过耗时且昂贵的医院或实验室就诊。这项技术采用可穿戴传感器、信号处理和无线数据传输，远程监测患者的健康状况。该研究提供了一种新颖的方法，通过数字健康系统远程提供初步诊断，使用多模态无线传感器设备监测肺部健康状况。该技术使用带有新集成的声学和生物电势传感器的紧凑型可穿戴设备来监测心血管和呼吸活动，提供全面和快速的健康状况监测。此外，小尺寸的可穿戴传感器可以贴附在人体皮肤上，记录心脏和肺部活动，以监测呼吸健康。本文提出了一种肺音和心电图的传感器数据融合方法，用于潜在的实时呼吸模式诊断，包括潮气量低和咳嗽等呼吸事件。声音信号的 - 值为 0.003，心电图（ECG）的 - 值为 0.004，初步测试表明，有可能在有意义的水平上检测到浅呼吸和咳嗽。
