A Robust and Real-Time Capable Envelope-Based Algorithm for Heart Sound Classification: Validation under Different Physiological Conditions

Sensors

卷:20

Angelika Thalmayer¹  Samuel Zeising¹  Jens Kirchner¹  Georg Fischer¹ 

[1] Institute for Electronics Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91058 Erlangen, Germany;

关键词: heart sounds;    envelope;    hilbert transform;    short-time fourier transform;    classification;    real-time;    auscultation;    robust;   

DOI  :  10.3390/s20040972

来源: DOAJ

【 摘 要 】

This paper proposes a robust and real-time capable algorithm for classification of the first and second heart sounds. The classification algorithm is based on the evaluation of the envelope curve of the phonocardiogram. For the evaluation, in contrast to other studies, measurements on 12 probands were conducted in different physiological conditions. Moreover, for each measurement the auscultation point, posture and physical stress were varied. The proposed envelope-based algorithm is tested with two different methods for envelope curve extraction: the Hilbert transform and the short-time Fourier transform. The performance of the classification of the first heart sounds is evaluated by using a reference electrocardiogram. Overall, by using the Hilbert transform, the algorithm has a better performance regarding the F₁-score and computational effort. The proposed algorithm achieves for the S₁ classification an F₁-score up to 95.7% and in average 90.5%. The algorithm is robust against the age, BMI, posture, heart rate and auscultation point (except measurements on the back) of the subjects.

【 授权许可】

Unknown