Development of Camera built-in Stethoscope Device for AR-Based Auscultation Training Simulator

Sekiguchi, Yota; Nakaguchi, Toshiya; Muratake, Torakazu; Miura, Keiichiro; Kawada, N; Yoshimura, Yuichiro; Ito, Satoshi; Asahina, Mayumi; Tanabe, Masahiro

doi:10.7876/jmvr.16.15

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“…To overcome these problems, Nakaguchi et al [ 13 ] proposed a virtual auscultation simulator for auscultation training on an SP and showed its effectiveness in reproducing training by comparison with a mannequin-type simulator. In addition, Sekiguchi et al [ 14 , 15 ] proposed the educational augmented reality auscultation system (EARS), an augmented-reality-based auscultation training system, using deep learning; this system reproduces the breath and heart sounds of various diseases on a healthy SP and enables medical interviews as well as auscultation procedures to be performed on the SP. The trainee performs auscultation on the SP using a special stethoscope, similar to a regular medical examination; this stethoscope is divided into the chest piece and camera unit parts ( Figure 1 ).…”

Section: Introductionmentioning

confidence: 99%

Breath Measurement Method for Synchronized Reproduction of Biological Tones in an Augmented Reality Auscultation Training System

Kono,

Miura,

Kasai

et al. 2024

Sensors

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An educational augmented reality auscultation system (EARS) is proposed to enhance the reality of auscultation training using a simulated patient. The conventional EARS cannot accurately reproduce breath sounds according to the breathing of a simulated patient because the system instructs the breathing rhythm. In this study, we propose breath measurement methods that can be integrated into the chest piece of a stethoscope. We investigate methods using the thoracic variations and frequency characteristics of breath sounds. An accelerometer, a magnetic sensor, a gyro sensor, a pressure sensor, and a microphone were selected as the sensors. For measurement with the magnetic sensor, we proposed a method by detecting the breathing waveform in terms of changes in the magnetic field accompanying the surface deformation of the stethoscope based on thoracic variations using a magnet. During breath sound measurement, the frequency spectra of the breath sounds acquired by the built-in microphone were calculated. The breathing waveforms were obtained from the difference in characteristics between the breath sounds during exhalation and inhalation. The result showed the average value of the correlation coefficient with the reference value reached 0.45, indicating the effectiveness of this method as a breath measurement method. And the evaluations suggest more accurate breathing waveforms can be obtained by selecting the measurement method according to breathing method and measurement point.

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Section: Introductionmentioning

confidence: 99%