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.
Lung sound disorder can be one of the signs that indicate the human respiratory problems. The conventional stethoscope can be used to determine the imperfection of the lung; however, it only depends on the ability of hearing. When someone's has problem of hearing, they cannot use this device. In addition, the sound of the conventional stethoscope sometimes cannot be heard clearly. This paper proposed a digital stethoscope that can be visualized. This research focuses on the ability of the system to transfer the signal sound into digital display that can be monitored in mobile phone. In this research, the recorded data of lung sound is stored in the PC using the 'record sound' program. The data was then analyzed using the waveform graph time-domain, FFT Power Spectrum, STFT Spectrogram and Wavelet Scalogram. For the communication between DSP TMS320C6416T and LabView 2012, a LabView 8.6 is used. In this research, the authors also use NodeMCU ESP826 as the Access Point of the communication. On the other hand, for generating the communication between the LabView and NodeMCU, the author used VISA (Virtual Instrument Software Architecture) of LabView 2012. From experiment to 6 patients, it can be found that the proposed device can run well and can visualize the normal lung with the frequency of 300 Hz -600 Hz.
This paper discusses about the navigation of G-Bot is (Garbage Robot). The G-Bot is designed to attract the human intention (especially kids) to throw the garbage in proper place. The G-Bot in this research has an attracted and colorful body. It can be plugged and assembled easily so that it can be washed in order to keep its cleanliness. However, how it navigates to the target and avoids the obstacles still become the problems. In this research, a new navigation strategy using fuzzy logic is implemented to the G-Bot in order to help it to keep its navigation to the correct path. The navigation of G-Bot is conducted in the aisle of the classrooms using 3 obstacles. It is tested to navigate from room 1 to room 2 and vice versa. From the experiment, it can be concluded that the G-Bot has been successful to reach the target (room 1 and also room 2) in about 21 minutes.
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