Use of wavelet transform for fetal phonocardiography processing
Result description
This work deals with fetal phonocardiography (fPCG) processing by wavelet transform (WT). The PhysioBank database, which contains the appropriate synthetic data to test filtration functionality, was used for testing. Based on the MATLAB experiment, it was found out that the best wavelet for processing the FPCG signal using WT is the fourth order Coiflet wavelet (coif4) with decomposition degree 4. Evaluation based on determining the signal-to noise-ratio (SNR) output value, based on Bland-Atman statistics and based on calculating the sensitivity value (Se), Positive predictive value (PPV), accuracy (ACC) and Fl, which is the overall probability of correct detection of heart beats, has proved that WT is a very promising method for processing the fPCG signal for the subsequent fetal heart rate (fHR) determination.
Keywords
Signal-to-Noise Ratio (SNR)fetal Heart Rate (IHR)wavelet transformextraction of fPCGfetal phonocardiography
The result's identifiers
Result code in IS VaVaI
Result on the web
DOI - Digital Object Identifier
Alternative languages
Result language
angličtina
Original language name
Use of wavelet transform for fetal phonocardiography processing
Original language description
This work deals with fetal phonocardiography (fPCG) processing by wavelet transform (WT). The PhysioBank database, which contains the appropriate synthetic data to test filtration functionality, was used for testing. Based on the MATLAB experiment, it was found out that the best wavelet for processing the FPCG signal using WT is the fourth order Coiflet wavelet (coif4) with decomposition degree 4. Evaluation based on determining the signal-to noise-ratio (SNR) output value, based on Bland-Atman statistics and based on calculating the sensitivity value (Se), Positive predictive value (PPV), accuracy (ACC) and Fl, which is the overall probability of correct detection of heart beats, has proved that WT is a very promising method for processing the fPCG signal for the subsequent fetal heart rate (fHR) determination.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
EF16_019/0000867: Research Centre of Advanced Mechatronic Systems
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings
ISBN
978-1-5386-7097-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
39-44
Publisher name
IEEE
Place of publication
Vienna
Event location
Funchal
Event date
Sep 25, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000469337900007
Basic information
Result type
D - Article in proceedings
OECD FORD
Electrical and electronic engineering
Year of implementation
2018