@inproceedings{678c267bbdf248d793a6d04e52b72c33,
title = "Wearable Electro-Phonocardiography Device for Cardiovascular Disease Monitoring",
abstract = "In this paper, we present a new wearable multichannel phonocardiography (PCG) and electrocardiography (ECG) device for cardiovascular disease (CVD) pre-screening and monitoring developed recently by researchers at Curtin University in collaboration with Ticking Heart, a health-tech start-up. An iterative Wiener filter based noise cancelation algorithm is proposed to improve the integrity of heart sound signals. We show that compared with an existing approach, the proposed algorithm has a better performance in suppressing the noise at 200-300 Hz. A convolutional neural network based classifier is implemented which exploits both the ECG and PCG signals to improve the pre-screening accuracy of CVD.",
keywords = "auscultation, cardiovascular disease, electrocardiography, phonocardiography",
author = "Yue Rong and Matthew Fynn and Sven Nordholm and Serena Siaw and Girish Dwivedi",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 22nd IEEE Statistical Signal Processing Workshop, SSP 2023 ; Conference date: 02-07-2023 Through 05-07-2023",
year = "2023",
month = aug,
day = "9",
doi = "10.1109/SSP53291.2023.10208027",
language = "English",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "413--417",
booktitle = "Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023",
address = "United States",
}
