Stetoskop olan hastanın muayene edilmesiarduıno cihazı kullanma
2021
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Advisor: Yrd. Doç. Dr. Abdullahı Abdu Ibrahım
Abstract (EN)
The stethoscope is an audio medical expedient for auscultation, or hearing to interior sounds of an physical or human body. Arduino is a physical programming platform consisting of an I / O (I / O) board and development environment that includes an implementation of the Processing / Wiring language. LSTM is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. Unlike standard feed forward neural networks, LSTM has feedback links. It can process not only single data points (such as images) but also entire data strings (such as speech or video). In this study, new method presented for heart diseases detection by combining deep learning techniques based on optimization algorithm. In the first stage, LSTM applied to classify the heart signals that are obtained by Arduino. The BBO applied to enhance the performance of the LSTM by applied to reduce the error rate of the LSTM model. The presented method presented satisfactory results when compared with previous studies.
Author
Shamıl Waad Ahmed Alathıbanı
Institution
How to Cite
Shamıl Waad Ahmed Alathıbanı (Master Thesis). Stetoskop olan hastanın muayene edilmesiarduıno cihazı kullanma, 2021, Altınbaş University.
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