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Implementation of DSK TMS320C6416T Module in Modified Stethoscope for Lung Sound Detection
- Source :
- Journal of Physics: Conference Series. 1500:012012
- Publication Year :
- 2020
- Publisher :
- IOP Publishing, 2020.
-
Abstract
- This paper presents a design of digital stethoscope that is modified using DSK TMS320C6416T. This modified stethoscope is proposed for helping the doctor to make a true decision and the same perception on the symptoms of someone’s disease. Using the conventional stethoscope usually gives drawback, such as the doctors usually makes misinterpretation on the auscultation. The reason is because of the errors that occur due to the difference on the sensitivity of the ear and the experiences of the doctor. This research offers a DSK TMS 320C6416T as an instrumentation system for identification and analysis on the lung sound. The modified design of the digital stethoscope that is proposed in this research gives benefit to the users because it provides the result in the form of the signals that can be monitored in the PC. The results of this designed stethoscope showed the interpretation of graphs in the form of the spectrogram and scalogram which will help the simplification on the analysis of lung sounds as well as to minimize or avoid the limitations of hearing problems in the process of auscultation. The method used in lung sound analysis in this research includes Fourier Transformation that is then developed into a Short-Time Fourier transform (STFT) and continued to the Wavelet Transform. Based on the test data for normal lung sounds, it was found that the working frequency range was 90 to 1265 Hz. The adventitious sounds were found with frequency range from 60 to 1980 Hz. In this research, it was also found that the lung sounds were at the frequency range from 90 to 1015 Hz for direct measurement to patients.
Details
- ISSN :
- 17426596 and 17426588
- Volume :
- 1500
- Database :
- OpenAIRE
- Journal :
- Journal of Physics: Conference Series
- Accession number :
- edsair.doi...........1c9144b30de7bb58ca9183f300b06807