Development of the low-cost, smartphone-based cardiac auscultation training manikin

IF 1.2 Q3 Computer Science
D. Karch, Krzysztofa Kopyt, J. Krzywoń, Paweł Somionka, S. Górski, G. Cebula
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引用次数: 0

Abstract

Abstract Objectives Cardiac auscultation remains a crucial part of physical examination. In preclinical training, there are multiple approaches for teaching that skill. Our goal was to find a compromise between expensive and complicated high-fidelity simulators and simple devices with a lack of realism. Methods Our project is made up of three main parts: a manikin’s torso, a specially prepared stethoscope, and a smartphone application. The position of the stethoscope’s head is recognized by Hall effect sensors inside of a manikin, and the information is sent via Bluetooth to the smartphone. Data are interpreted by the application, and proper recording is selected from sounds’ base. The user can easily adjust additional settings (e.g., main volume, playback speed, background noises). Then, the processed sound is played via a Bluetooth headset that is a part of the stethoscope. Results The solution that we suggest is easy to use with minimal adversely affecting the quality of learning. Handling of our device is intuitive, and minimal prior training is required. The low cost of the device itself and the widespread use of smartphones make it easy to implement. Conclusions We believe that this solution could be a complement for the currently used methods for teaching cardiac auscultation in preclinical training.
低成本、基于智能手机的心脏听诊训练人体模型的开发
目的心脏听诊仍然是体检的重要组成部分。在临床前培训中,有多种方法来教授这项技能。我们的目标是在昂贵而复杂的高保真模拟器和缺乏真实感的简单设备之间找到一个折衷方案。我们的项目由三个主要部分组成:一个人体模型的躯干,一个特制的听诊器和一个智能手机应用程序。听诊器头部的位置由人体内部的霍尔效应传感器识别,并通过蓝牙将信息发送到智能手机。数据由应用程序解释,并从声音基础中选择适当的记录。用户可以很容易地调整其他设置(例如,主音量,播放速度,背景噪音)。然后,经过处理的声音通过听诊器的蓝牙耳机播放。结果我们提出的解决方案易于使用,对学习质量的不利影响最小。处理我们的设备是直观的,最少的事先培训是必需的。设备本身的低成本和智能手机的广泛使用使其易于实现。结论该方法可作为临床前心脏听诊教学方法的补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bio-Algorithms and Med-Systems
Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
3.80
自引率
0.00%
发文量
3
期刊介绍: The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.
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