Shi K, Schellenberger S, Michler F, Steigleder T, Malessa A, Lurz F, Ostgathe C, Weigel R, Kölpin A (2019)
Publication Type: Journal article, Original article
Publication year: 2019
URI: https://ieeexplore.ieee.org/document/8731709
DOI: 10.1109/TBME.2019.2921071
Objective: Radar technology promises to be a
touchless and thereby burden-free method for continuous
heart sound monitoring which can be used to detect cardiovascular
diseases. However, the first and most crucial step
is to differentiate between high- and low-quality segments
in a recording to assess their suitability for a subsequent
automated analysis. This paper gives a comprehensive
study on this task and firstly addresses the specific characteristics
of radar-recorded heart sound signals. Methods:
To gather heart sound signals recorded from radar, a
bistatic radar system was built and installed at the university
hospital. Under medical supervision, heart sound data
were recorded from 30 healthy test subjects. The signals
were segmented and labeled as high- or low-quality by a medical expert. Different state-of-the-art pattern classification
algorithms were evaluated for the task of automated
signal quality determination and the most promising one
was optimized and evaluated using leave-one-subject-out cross-validation. Results: The proposed classifier is able to
achieve an accuracy of up to 96.36% and demonstrates a
superior classification performance compared to the stateof-
the-art classifier with a maximum accuracy of 76.00 %.
Conclusion: This paper introduces an ensemble classifier
that is able to perform automated signal quality determination
of radar-recorded heart sound signals with a
high accuracy. Significance: Besides achieving a higher
performance compared to state-of-the-art classifiers, the
presented study is the first one to deal with the quality
determination of heart sounds that are recorded by radar
systems. The proposed method enables contactless and
continuous heart sound monitoring for the detection of
cardiovascular diseases.
APA:
Shi, K., Schellenberger, S., Michler, F., Steigleder, T., Malessa, A., Lurz, F.,... Kölpin, A. (2019). Automatic Signal Quality Index Determination of Radar-Recorded Heart Sound Signals Using Ensemble Classification. IEEE Transactions on Biomedical Engineering. https://dx.doi.org/10.1109/TBME.2019.2921071
MLA:
Shi, Kilin, et al. "Automatic Signal Quality Index Determination of Radar-Recorded Heart Sound Signals Using Ensemble Classification." IEEE Transactions on Biomedical Engineering (2019).
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