听诊
可穿戴计算机
听诊器
微控制器
持续监测
计算机科学
远程病人监护
实时计算
信号(编程语言)
数据采集
噪音(视频)
计算机硬件
信号处理
嵌入式系统
心音
工程类
医学
人工智能
数字信号处理
内科学
程序设计语言
运营管理
图像(数学)
放射科
操作系统
作者
Nourelhuda Mohamed,Hyun-Seok Kim,Manal Mohamed,Kyu‐Min Kang,Sung‐Hoon Kim,Jae Gwan Kim
出处
期刊:Biosensors
[Multidisciplinary Digital Publishing Institute]
日期:2023-06-04
卷期号:13 (6): 615-615
被引量:3
摘要
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.
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