Detail publikace

Discrimination of Normal and Abnormal Heart Sounds Using Probability Assessment

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"
}