Abstract
We demonstrate the designed software that possibly collects the body sound data to be used for clinical diagnosis applications. Body sound signals are collected and processed through a software designed in Labview to adapt with Arduino-Uno. The analog signals transduced from a piezoelectric microphone are converted to the digital signals by an ADC component integrated in the Uno board and controlled the sampling frequency via the software. The collected signals are observed and visualized in graph panel of the software and the audio sound can play through speakers in real-time then stored the measured values as the audio file format simultaneously. The data can use to analyze by another software or study the analyzed algorithm to extract the disease signals. To evaluate the quality of the system, a series of experiments were examined in hospital environment and asserted with clinical experiences of specified medical doctors. To enhance the scope of the disease signal, the spectrum of the signal can be collected ranged on 5 Hz to 35 kHz corresponding to the full spectrum of the hardware system, with the sampling frequency reached to 100 kHz. Based on this initial system, a series of development applying to clinical diagnosis can be potentially opened in the near future.
Highlights
Body sound is one of the important clinical signs for disease diagnosis, discovered in the early 18th century [1]
Revised Manuscript Received on December 30, 2019. * Correspondence Author Son Nguyen Van*, Hanoi Open University, Hanoi, Vietnam
The acoustic-electric signal is amplified by an amplifier with a gain of 40 dB to 100 dB and a signal-to-noise ratio (SNR) reaches to 50 dB
Summary
Body sound is one of the important clinical signs for disease diagnosis, discovered in the early 18th century [1]. * Correspondence Author Son Nguyen Van*, Hanoi Open University, Hanoi, Vietnam. Duc Trinh Quang, Hanoi University of Science and Technology, Hanoi, Vietnam. Giang Nguyen Hoai, Hanoi Open University, Hanoi, Vietnam. In consider of the demand to digitize the body's audio signals for storage and use in the data for remote disease diagnosis, electronic medical monitoring, and visualization in teaching and medical training, the electronic stethoscope had been built [3].
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