Automatic Classification of Anomalous ECG Heartbeats from Samples Acquired by Compressed Sensing-Reference-Cited by-同舟云学术

Automatic Classification of Anomalous ECG Heartbeats from Samples Acquired by Compressed Sensing

Published:2024-08-31 Issue:9 Volume:11 Page:883
ISSN:2306-5354
Container-title:Bioengineering
language:en
Short-container-title:Bioengineering

Author:

Picariello Enrico¹^ORCID,Picariello Francesco¹^ORCID,Tudosa Ioan¹^ORCID,Rajan Sreeraman²^ORCID,De Vito Luca¹^ORCID

Affiliation:

1. Department of Engineering, University of Sannio, 82100 Benevento, Italy

2. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada

Abstract

In this paper, a method for the classification of anomalous heartbeats from compressed ECG signals is proposed. The method operating on signals acquired by compressed sensing is based on a feature extraction stage consisting of the evaluation of the Discrete Cosine Transform (DCT) coefficients of the compressed signal and a classification stage performed by means of a set of k-nearest neighbor ensemble classifiers. The method was preliminarily tested on five classes of anomalous heartbeats, and it achieved a classification accuracy of 99.40%.

Publisher

MDPI AG

Link

https://www.mdpi.com/2306-5354/11/9/883/pdf

Reference50 articles.

1. WHO (2022, July 27). Cardiovascular Diseases. Available online: https://www.who.int/health-topics/cardiovascular-diseases.

2. Dias, D., and Paulo Silva Cunha, J. (2018). Wearable Health Devices—Vital Sign Monitoring, Systems and Technologies. Sensors, 18.

3. Peng, M., Wang, T., Hu, G., and Zhang, H. (2012, January 10–13). A wearable heart rate belt for ambulant ECG monitoring. Proceedings of the 2012 IEEE 14th International Conference on E-Health Networking, Applications and Services (Healthcom), Beijing, China.

4. Huang, P.C., Lin, C.C., Wang, Y.H., and Hsieh, H.J. (2019, January 2–5). Development of Health Care System Based on Wearable Devices. Proceedings of the 2019 Prognostics and System Health Management Conference (PHM-Paris), Paris, France.

5. Kulkarni, C., Karhade, H., Gupta, S., Bhende, P., and Bhandare, S. (2016, January 22–24). Health companion device using IoT and wearable computing. Proceedings of the 2016 International Conference on Internet of Things and Applications (IOTA), Pune, India.