@inbook{61470663b9ac4445966367b93270d72c,
title = "CycleGAN Based Motion Artifact Cancellation for Photoplethysmography Wearable Device",
abstract = "Motion artifacts (MA) in photoplethysmography (PPG) signals is a challenging problem in signal processing today although various methods have been researched and developed. Using deep learning techniques recently has demonstrated their performance to overcome many limitations in traditional ones. In this study, we develop a protocol to build the PPG dataset and a cycleGAN-based model which can use to remove MA from PPG signals at the radial artery. We verified that the assumption of noisy PPG signals is a linear combination of clean PPG and accelerator (ACC) signals is not strong enough. Our evaluation of the CycleGAN model for reconstructing PPG signals at the radial artery which consisted of two opposite phases was feasible but the quality of signals needs more further research.",
keywords = "Dataset, GAN Learning, Motion artifact, Photoplethysmography, Wearable",
author = "Long, {Nguyen Mai Hoang} and Kim, {Jong Jin} and Lee, {Boon Giin} and Chung, {Wan Young}",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 13th International Conference on Intelligent Human Computer Interaction, IHCI 2021 ; Conference date: 20-12-2021 Through 22-12-2021",
year = "2022",
doi = "10.1007/978-3-030-98404-5_13",
language = "English",
isbn = "9783030984038",
volume = "13184",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "138--144",
editor = "Jong-Hoon Kim and Javed Khan and Madhusudan Singh and Tiwary, {Uma Shanker} and Marigankar Sur and Dhananjay Singh",
booktitle = "Intelligent Human Computer Interaction - 13th International Conference, IHCI 2021, Revised Selected Papers",
address = "Germany",
}