#TITLE_ALTERNATIVE#

• Main Author: SYAFRULLAH (NIM: 13204134); Pembimbing: Dr.Ir. Kastam Astami , M.Sc
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/17355
• Institution: Institut Teknologi Bandung

In this final project, the acoustic signal of fetal heartbeat is converted into the digital form. This digital form will facilitate the conversion of these signals into the frequency domain to see each part of the heartbeat sound. From this frequency domain, the characteristics of the existing noise can be seen. Noise reduction can then be done using noise cancellation techniques, so that the signature signal of the fetal heartbeat is not corrupted. The fetal heartbeat sound is taken using ultrasound tools, namely Doppler Fetal Monitor. This tool uses Doppler-effect to obtain the frequency from movable property (fetal heart). Acoustic sound produced by this tool will be saved into a file on a computer device. Then later the file will be converted into a matrix form on the programming language MATLAB. The purpose is to facilitate the conversion into the frequency domain of signals. Data matrices in large numbers will complicate the process of discrete time Fourier transform, so the Fast Fourier Transform algorithm is used to facilitate this change to the frequency domain. From observation of these heart signals, it is known that the results of the fetal heartbeat sound recordings contain noise in the overall signal spreading. Therefore, the noise reduction performed using Adobe Audition software, based on noise cancellation. Signal noise reduction results will be classified into three forms of signals based on the characteristics of the fetal heartbeat sound. Signal results from noise reduction process have a different value of Signal-to-Noise Ratio compared with previous signal, which is before the noise reduction. The difference is quite significant so that the noise cancelling process is considered effective enough to be used. <br /> <br /> <br /> This final project uses the Fast Fourier Transform algorithm for converting into frequency domain, thus the conversion can be done effectively and quickly when compared to using ordinary discrete time Fourier transform. The process of noise reduction using noise cancellation techniques will produce the desired signal without destroying or diminishing the signal passages. The processes mentioned above are expected to help in diagnosing the condition of the fetal heart. And this final project is expected to also be the basis or reference for further digital signal processing as a tool for diagnosing fetal heart conditions.