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Detail publikace
JURČO, J. PLEŠINGER, F. JURÁK, P. HALÁMEK, J.
Originální název
Discrimination of Normal and Abnormal Heart Sounds Using Probability Assessment
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Aims: According to the “2016 Physionet/CinC Challenge”, we propose an automated method identifying normal or abnormal phonocardiogram recordings. Method: Invalid data segments are detected (saturation, blank and noise tests) and excluded from further processing. The record is transformed into amplitude envelopes in five frequency bands. Systole duration and RR estimations are computed; 15-90 Hz amplitude envelope and systole/RR estimations are used for detection of the first and second heart sound (S1 and S2). Features from accumulated areas surrounding S1 and S2 as well as features from the whole recordings were extracted and used for training. During the training process, we collected probability and weight values of each feature in multiple ranges. For feature selection and optimization tasks, we developed C# application PROBAfind, able to generate the resultant Matlab code. Results: The method was trained with 3153 Physionet Challenge recordings (length 8-60 seconds; 6 databases). The results of the training set show the sensitivity, specificity and score of 0.93, 0.97 and 0.95, respectively. The method was evaluated on a hidden Challenge dataset with sensitivity and specificity of 0.87 and 0.83, respectively. These results led to an overall score of 0.85.
Klíčová slova
Heart Beat; Normal; Abnormal; CinC challenge
Autoři
JURČO, J.; PLEŠINGER, F.; JURÁK, P.; HALÁMEK, J.
Vydáno
11. 9. 2016
Nakladatel
IEEE Computer Society
Místo
Vancouver
ISBN
978-1-4799-4346-3
Kniha
Computing in Cardiology
Edice
2016
Číslo edice
43
ISSN
0276-6574
Periodikum
Computers in Cardiology
Stát
Spojené státy americké
Strany od
801
Strany do
804
Strany počet
4
BibTex
@inproceedings{BUT128351, author="Filip {Plešinger} and Juraj {Jurčo} and Pavel {Jurák} and Josef {Halámek}", title="Discrimination of Normal and Abnormal Heart Sounds Using Probability Assessment", booktitle="Computing in Cardiology", year="2016", series="2016", journal="Computers in Cardiology", number="43", pages="801--804", publisher="IEEE Computer Society", address="Vancouver", isbn="978-1-4799-4346-3", issn="0276-6574" }