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.
Highlights
Knowledgeable cardiac auscultation remains one of the most important skills for the detection of heart diseases [1].Teaching at the bedside remains a really effective method of teaching clinical skills; it has few limitations
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
The low cost of the device itself and the widespread use of smartphones make it easy to implement. We believe that this solution could be a complement for the currently used methods for teaching cardiac auscultation in preclinical training
Summary
Knowledgeable cardiac auscultation remains one of the most important skills for the detection of heart diseases [1]. Teaching at the bedside remains a really effective method of teaching clinical skills; it has few limitations. The solution to the aforementioned problem seemed to be simulation devices. High-fidelity and expensive clinical simulators are popular among procedurerelated specialties such as emergency medicine or anesthesiology, there is still place for low-fidelity simulators such as heart sound simulators [3, 4]. Our goal was to create the cost-effective device that combines advantages of learning auscultation sounds from sound databases or from the Internet with an increased level of fidelity, which is offered by advanced simulators. We decided to create a project that uses as a central element computing capabilities and other possibilities offered by today’s smartphones
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