Version 1
: Received: 16 April 2024 / Approved: 17 April 2024 / Online: 17 April 2024 (14:43:20 CEST)
How to cite:
Beh, W.; Yang, Y.; Wu, A. Quality-aware Signal Processing Mechanism for Long-term Heart Rate Monitoring. Preprints2024, 2024041179. https://doi.org/10.20944/preprints202404.1179.v1
Beh, W.; Yang, Y.; Wu, A. Quality-aware Signal Processing Mechanism for Long-term Heart Rate Monitoring. Preprints 2024, 2024041179. https://doi.org/10.20944/preprints202404.1179.v1
Beh, W.; Yang, Y.; Wu, A. Quality-aware Signal Processing Mechanism for Long-term Heart Rate Monitoring. Preprints2024, 2024041179. https://doi.org/10.20944/preprints202404.1179.v1
APA Style
Beh, W., Yang, Y., & Wu, A. (2024). Quality-aware Signal Processing Mechanism for Long-term Heart Rate Monitoring. Preprints. https://doi.org/10.20944/preprints202404.1179.v1
Chicago/Turabian Style
Beh, W., Yu-Chia Yang and An-Yeu Wu. 2024 "Quality-aware Signal Processing Mechanism for Long-term Heart Rate Monitoring" Preprints. https://doi.org/10.20944/preprints202404.1179.v1
Abstract
Photoplethysmography (PPG) is widely utilized in wearable healthcare devices due to its convenient measurement capabilities. However, the unrestricted behavior of users often introduces artifacts into the PPG signal. As a result, signal processing and quality assessment play a crucial role in ensuring that the information contained in the signal can be effectively acquired and analyzed. Traditionally, researchers have discussed signal quality and processing algorithms separately, with individual algorithms developed to address specific artifacts. In this paper, we propose a quality-aware signal processing mechanism that evaluates incoming PPG signals using signal quality index (SQI) and selects the appropriate processing method based on the SQI. Unlike conventional processing approaches, our proposed mechanism recommends processing algorithms based on the quality of each signal, offering an alternative option for designing signal processing flows. Furthermore, our mechanism achieves a favorable trade-off between accuracy and energy consumption, which are the key considerations in long-term heart rate monitoring.
Keywords
Photoplethysmography; Signal Quality Assessment; Healthcare
Subject
Engineering, Bioengineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
