Department of Biomedical Engineering, Graduate School of Medicine, Keimyung University, Daegu 42601, Korea.
Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu 42601, Korea.
Sensors (Basel). 2021 Sep 20;21(18):6294. doi: 10.3390/s21186294.
Cardiac auscultation is one of the most popular diagnosis approaches to determine cardiovascular status based on listening to heart sounds with a stethoscope. However, heart sounds can be masked by visceral sounds such as organ movement and breathing, and a doctor's level of experience can more seriously affect the accuracy of auscultation results. To improve the accuracy of auscultation, and to allow nonmedical staff to conduct cardiac auscultation anywhere and anytime, a hybrid-type personal smart stethoscope with an automatic heart sound analysis function is presented in this paper. The device was designed with a folding finger-ring shape that can be worn on the finger and placed on the chest to measure photoplethysmogram (PPG) signals and acquire the heart sound simultaneously. The measured heart sounds are detected as phonocardiogram (PCG) signals, and the boundaries of the heart sound variation and the peaks of the PPG signal are detected in preprocessing by an advanced Shannon entropy envelope. According to the relationship between PCG and PPG signals, an automatic heart sound analysis algorithm based on calculating the time interval between the first and second heart sounds (S1, S2) and the peak of the PPG was developed and implemented via the manufactured prototype device. The prototype device underwent accuracy and usability testing with 20 young adults, and the experimental results showed that the proposed smart stethoscope could satisfactorily collect the heart sounds and PPG signals. In addition, within the developed algorithm, the device was as accurate in start-points of heart sound detection as professional physiological signal-acquisition systems. Furthermore, the experimental results demonstrated that the device was able to identify S1 and S2 heart sounds automatically with high accuracy.
心脏听诊是一种基于听诊器听取心音来判断心血管状况的最流行的诊断方法之一。然而,心音可能会被内脏声音(如器官运动和呼吸)掩盖,并且医生的经验水平会更严重地影响听诊结果的准确性。为了提高听诊的准确性,并允许非医务人员随时随地进行心脏听诊,本文提出了一种具有自动心音分析功能的混合式个人智能听诊器。该设备设计为可折叠指环形状,可以戴在手指上并放在胸部上,以同时测量光体积描记图(PPG)信号和获取心音。测量的心音被检测为心音图(PCG)信号,并且通过先进的香农熵包络在预处理中检测心音变化的边界和 PPG 信号的峰值。根据 PCG 和 PPG 信号之间的关系,开发并通过制造的原型设备实现了一种基于计算第一和第二心音(S1、S2)和 PPG 峰值之间时间间隔的自动心音分析算法。该原型设备接受了 20 名年轻成年人的准确性和可用性测试,实验结果表明,所提出的智能听诊器能够令人满意地采集心音和 PPG 信号。此外,在所开发的算法中,该设备在检测心音起点方面与专业生理信号采集系统一样准确。此外,实验结果表明,该设备能够自动识别 S1 和 S2 心音,具有很高的准确性。