Thalmayer A, Zeising S, Fischer G, Kirchner J (2020)
Publication Language: English
Publication Type: Journal article, other
Publication year: 2020
Book Volume: 20
Journal Issue: 4
URI: https://www.mdpi.com/1424-8220/20/4/972
DOI: 10.3390/s20040972
Open Access Link: https://www.mdpi.com/1424-8220/20/4/972
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 twelve
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. The ECG and PCG records are available from the authors.
APA:
Thalmayer, A., Zeising, S., Fischer, G., & Kirchner, J. (2020). A Robust and Real-Time Capable Envelope-Based Algorithm for Heart Sound Classification: Validation under Different Physiological Conditions. Sensors, 20(4). https://dx.doi.org/10.3390/s20040972
MLA:
Thalmayer, Angelika, et al. "A Robust and Real-Time Capable Envelope-Based Algorithm for Heart Sound Classification: Validation under Different Physiological Conditions." Sensors 20.4 (2020).
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