Spectral Fault Recovery Analysis Revisited With Normal and Abnormal Heart Sound Signals
The computation of fast Fourier transform (FFT) plays a vital role in all fields of science and engineering, especially in the medical domain. Spectral results of the data convey more information to the clinicians to take handy decisions during the diagnosis. If a problem happens during the computat...
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doaj-209ed58979b64007b8bb305514c3ba022021-03-29T21:26:07ZengIEEEIEEE Access2169-35362018-01-016628746287910.1109/ACCESS.2018.28761198492402Spectral Fault Recovery Analysis Revisited With Normal and Abnormal Heart Sound SignalsV. Elamaran0N. Arunkumar1Ahmed Faeq Hussein2https://orcid.org/0000-0003-2483-0028Mario Solarte3Gustavo Ramirez-Gonzalez4https://orcid.org/0000-0002-1338-8820School of EEE, SASTRA Deemed University, Thanjavur, IndiaSchool of EEE, SASTRA Deemed University, Thanjavur, IndiaBio-Medical Engineering Department, Faculty of Engineering, AL-Nahrain University, Baghdad, IraqTelematics Department, University of Cauca, Popayan, ColombiaTelematics Department, University of Cauca, Popayan, ColombiaThe computation of fast Fourier transform (FFT) plays a vital role in all fields of science and engineering, especially in the medical domain. Spectral results of the data convey more information to the clinicians to take handy decisions during the diagnosis. If a problem happens during the computation of FFT, the incorrect results misinterpret the information and hence the suggestions and decisions by practitioners would be the useless one moreover, it may yield harmful result to the patients. This paper deals with how to recover the spectrum from the faulty one with the heart sound case reports. The heart sound recording is the phonocardiogram (PCG) signal. Stethoscopes are commonly used to hear the heart sound for diagnosis. The two PCG signals of normal and abnormal subjects in each were analyzed in this paper. The normal subject produce clear lub and dub sounds, where the abnormal subject produce a kind of whistling or swishing sound in middle which may be due to the problem of septal defect in a heart. This paper analyzes four PCG signals spectrally with fault and the recovered ones along with the execution time results in each using Matlab R2016b tool.https://ieeexplore.ieee.org/document/8492402/FFTfault recoveryheart soundnormal PCGabnormal PCG |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
V. Elamaran N. Arunkumar Ahmed Faeq Hussein Mario Solarte Gustavo Ramirez-Gonzalez |
spellingShingle |
V. Elamaran N. Arunkumar Ahmed Faeq Hussein Mario Solarte Gustavo Ramirez-Gonzalez Spectral Fault Recovery Analysis Revisited With Normal and Abnormal Heart Sound Signals IEEE Access FFT fault recovery heart sound normal PCG abnormal PCG |
author_facet |
V. Elamaran N. Arunkumar Ahmed Faeq Hussein Mario Solarte Gustavo Ramirez-Gonzalez |
author_sort |
V. Elamaran |
title |
Spectral Fault Recovery Analysis Revisited With Normal and Abnormal Heart Sound Signals |
title_short |
Spectral Fault Recovery Analysis Revisited With Normal and Abnormal Heart Sound Signals |
title_full |
Spectral Fault Recovery Analysis Revisited With Normal and Abnormal Heart Sound Signals |
title_fullStr |
Spectral Fault Recovery Analysis Revisited With Normal and Abnormal Heart Sound Signals |
title_full_unstemmed |
Spectral Fault Recovery Analysis Revisited With Normal and Abnormal Heart Sound Signals |
title_sort |
spectral fault recovery analysis revisited with normal and abnormal heart sound signals |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
The computation of fast Fourier transform (FFT) plays a vital role in all fields of science and engineering, especially in the medical domain. Spectral results of the data convey more information to the clinicians to take handy decisions during the diagnosis. If a problem happens during the computation of FFT, the incorrect results misinterpret the information and hence the suggestions and decisions by practitioners would be the useless one moreover, it may yield harmful result to the patients. This paper deals with how to recover the spectrum from the faulty one with the heart sound case reports. The heart sound recording is the phonocardiogram (PCG) signal. Stethoscopes are commonly used to hear the heart sound for diagnosis. The two PCG signals of normal and abnormal subjects in each were analyzed in this paper. The normal subject produce clear lub and dub sounds, where the abnormal subject produce a kind of whistling or swishing sound in middle which may be due to the problem of septal defect in a heart. This paper analyzes four PCG signals spectrally with fault and the recovered ones along with the execution time results in each using Matlab R2016b tool. |
topic |
FFT fault recovery heart sound normal PCG abnormal PCG |
url |
https://ieeexplore.ieee.org/document/8492402/ |
work_keys_str_mv |
AT velamaran spectralfaultrecoveryanalysisrevisitedwithnormalandabnormalheartsoundsignals AT narunkumar spectralfaultrecoveryanalysisrevisitedwithnormalandabnormalheartsoundsignals AT ahmedfaeqhussein spectralfaultrecoveryanalysisrevisitedwithnormalandabnormalheartsoundsignals AT mariosolarte spectralfaultrecoveryanalysisrevisitedwithnormalandabnormalheartsoundsignals AT gustavoramirezgonzalez spectralfaultrecoveryanalysisrevisitedwithnormalandabnormalheartsoundsignals |
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1724192943432007680 |