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JURČO, J. PLEŠINGER, F. JURÁK, P. HALÁMEK, J.
Original Title
Discrimination of Normal and Abnormal Heart Sounds Using Probability Assessment
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Heart Beat; Normal; Abnormal; CinC challenge
Authors
JURČO, J.; PLEŠINGER, F.; JURÁK, P.; HALÁMEK, J.
Released
11. 9. 2016
Publisher
IEEE Computer Society
Location
Vancouver
ISBN
978-1-4799-4346-3
Book
Computing in Cardiology
Edition
2016
Edition number
43
0276-6574
Periodical
Computers in Cardiology
State
United States of America
Pages from
801
Pages to
804
Pages count
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" }