Biomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
Biomedical Engineering Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul 05505, Republic of Korea.
Biosensors (Basel). 2023 Jun 4;13(6):615. doi: 10.3390/bios13060615.
Meticulous monitoring for cardiovascular systems is important for postoperative patients in postanesthesia or the intensive care unit. The continuous auscultation of heart and lung sounds can provide a valuable information for patient safety. Although numerous research projects have proposed the design of continuous cardiopulmonary monitoring devices, they primarily focused on the auscultation of heart and lung sounds and mostly served as screening tools. However, there is a lack of devices that could continuously display and monitor the derived cardiopulmonary parameters. This study presents a novel approach to address this need by proposing a bedside monitoring system that utilizes a lightweight and wearable patch sensor for continuous cardiovascular system monitoring. The heart and lung sounds were collected using a chest stethoscope and microphones, and a developed adaptive noise cancellation algorithm was implemented to remove the background noise corrupted with those sounds. Additionally, a short-distance ECG signal was acquired using electrodes and a high precision analog front end. A high-speed processing microcontroller was used to allow real-time data acquisition, processing, and display. A dedicated tablet-based software was developed to display the acquired signal waveforms and the processed cardiovascular parameters. A significant contribution of this work is the seamless integration of continuous auscultation and ECG signal acquisition, thereby enabling the real-time monitoring of cardiovascular parameters. The wearability and lightweight design of the system were achieved through the use of rigid-flex PCBs, which ensured patient comfort and ease of use. The system provides a high-quality signal acquisition and real-time monitoring of the cardiovascular parameters, thus proving its potential as a health monitoring tool.
对麻醉后或重症监护病房的术后患者,心血管系统的细致监测非常重要。持续听诊心肺音可为患者安全提供有价值的信息。尽管许多研究项目都提出了连续心肺监测设备的设计方案,但它们主要集中在心肺听诊上,大多作为筛查工具。然而,缺乏能够连续显示和监测衍生心肺参数的设备。本研究提出了一种新方法,通过提出一种利用轻便可穿戴贴片传感器进行连续心血管系统监测的床边监测系统来满足这一需求。使用听诊器和麦克风采集心肺音,实施了开发的自适应噪声消除算法以去除受这些声音污染的背景噪声。此外,还使用电极和高精度模拟前端采集短程 ECG 信号。高速处理微控制器用于实现实时数据采集、处理和显示。开发了专用的基于平板电脑的软件来显示采集到的信号波形和处理后的心血管参数。这项工作的一个重要贡献是实现了连续听诊和 ECG 信号采集的无缝集成,从而能够实时监测心血管参数。通过使用刚柔结合 PCB,实现了系统的佩戴舒适性和重量轻的设计,确保了患者的舒适度和易用性。该系统提供了高质量的信号采集和实时的心血管参数监测,因此证明了其作为健康监测工具的潜力。