Is this project an undergraduate, graduate, or faculty project?
Graduate
individual
What campus are you from?
Daytona Beach
Authors' Class Standing
Graduate Student
Lead Presenter's Name
Krysh Rajendran
Faculty Mentor Name
Dr Khem Poudel
Abstract
Phonocardiogram(PCG) signals are widely used for screening heart conditions. The goal is to develop a model that can accurately classify PCG signals. Suitable preprocessing(Wavelet Transforms) to denoise signals will be used and then will be used to train a RNN.
Did this research project receive funding support from the Office of Undergraduate Research.
No
COinS
Phonocardiogram Signal Classification using RNN
Phonocardiogram(PCG) signals are widely used for screening heart conditions. The goal is to develop a model that can accurately classify PCG signals. Suitable preprocessing(Wavelet Transforms) to denoise signals will be used and then will be used to train a RNN.