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基于多模态技术的新型智能听诊器设计,用于个人心血管健康监测。

Novel Design of a Multimodal Technology-Based Smart Stethoscope for Personal Cardiovascular Health Monitoring.

机构信息

Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu 42601, Korea.

Clairaudience Company Limited, Daegu 42403, Korea.

出版信息

Sensors (Basel). 2022 Aug 27;22(17):6465. doi: 10.3390/s22176465.

Abstract

Heart sounds and heart rate (pulse) are the most common physiological signals used in the diagnosis of cardiovascular diseases. Measuring these signals using a device and analyzing their interrelationships simultaneously can improve the accuracy of existing methods and propose new approaches for the diagnosis of cardiovascular diseases. In this study, we have presented a novel smart stethoscope based on multimodal physiological signal measurement technology for personal cardiovascular health monitoring. The proposed device is designed in the shape of a compact personal computer mouse for easy grasping and attachment to the surface of the chest using only one hand. A digital microphone and photoplehysmogram sensor are installed on the bottom and top surfaces of the device, respectively, to measure heart sound and pulse from the user's chest and finger simultaneously. In addition, a high-performance Bluetooth Low Energy System-on-Chip ARM microprocessor is used for pre-processing of measured data and communication with the smartphone. The prototype is assembled on a manufactured printed circuit board and 3D-printed shell to conduct an in vivo experiment to test the performance of physiological signal measurement and usability by observing users' muscle fatigue variation.

摘要

心音和心率(脉搏)是心血管疾病诊断中最常用的生理信号。使用设备测量这些信号并同时分析它们之间的关系,可以提高现有方法的准确性,并为心血管疾病的诊断提出新的方法。在这项研究中,我们提出了一种新颖的基于多模态生理信号测量技术的智能听诊器,用于个人心血管健康监测。所提出的设备设计为紧凑的个人计算机鼠标形状,便于单手抓握,并可通过使用一只手将其附着在胸部表面上。数字麦克风和光体积描记传感器分别安装在设备的底部和顶部表面上,以从用户的胸部和手指同时测量心音和脉搏。此外,还使用高性能的蓝牙低能系统芯片 ARM 微处理器对测量数据进行预处理,并与智能手机进行通信。原型是在制造的印刷电路板和 3D 打印外壳上组装的,进行体内实验以通过观察用户的肌肉疲劳变化来测试生理信号测量和可用性的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f475/9460675/fd24f98129e8/sensors-22-06465-g001.jpg

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