Version 1
: Received: 6 April 2022 / Approved: 11 April 2022 / Online: 11 April 2022 (04:21:00 CEST)
How to cite:
Bui, N.; Minh, T.H.; Nguyen, B.L.; Truong, T.T.; Le, D.L. Signal Quality Valuation with Optimal Power Consumption and High Compression Ratio Method for Estimate Heart Rate Applied to Real-time PPG Measurement. Preprints2022, 2022040088. https://doi.org/10.20944/preprints202204.0088.v1
Bui, N.; Minh, T.H.; Nguyen, B.L.; Truong, T.T.; Le, D.L. Signal Quality Valuation with Optimal Power Consumption and High Compression Ratio Method for Estimate Heart Rate Applied to Real-time PPG Measurement. Preprints 2022, 2022040088. https://doi.org/10.20944/preprints202204.0088.v1
Bui, N.; Minh, T.H.; Nguyen, B.L.; Truong, T.T.; Le, D.L. Signal Quality Valuation with Optimal Power Consumption and High Compression Ratio Method for Estimate Heart Rate Applied to Real-time PPG Measurement. Preprints2022, 2022040088. https://doi.org/10.20944/preprints202204.0088.v1
APA Style
Bui, N., Minh, T.H., Nguyen, B.L., Truong, T.T., & Le, D.L. (2022). Signal Quality Valuation with Optimal Power Consumption and High Compression Ratio Method for Estimate Heart Rate Applied to Real-time PPG Measurement. Preprints. https://doi.org/10.20944/preprints202204.0088.v1
Chicago/Turabian Style
Bui, N., Trong Toai Truong and Dinh Luong Le. 2022 "Signal Quality Valuation with Optimal Power Consumption and High Compression Ratio Method for Estimate Heart Rate Applied to Real-time PPG Measurement" Preprints. https://doi.org/10.20944/preprints202204.0088.v1
Abstract
Nowadays, wearable devices for human health monitoring are increasingly become popular and widely used. Typically, the wearable device is small size and operates with batteries. Therefore, the wearable device acquires bio-signals and transfers to smartphones or personal computers (PC) via WiFi/ Bluetooth for processing data. To reduce power consumption is one of the most important challenges of designing wearable devices. To solve this problem, the proposed signal quality valuation (SQV) method can be select the high-quality signal and reduce the transfer time to other devices. In this paper, the proposed SQV and data compression method rely on real-time PPG signals analysis to retain important information of PPG signal, improve performance and power consumption of PPG devices. Besides, we also proposed Heuristic rules for heart rate (HR) estimation with compression data. The experimental results show that the highest compression ratio (CR) is 387.8 with BIDMC Physionet database (sampling frequencies of 125 Hz) and HR error as 1.43 bpm for averaging absolute error (avAE), the standard deviation absolute error (sdAE as 0.4) and relative error mean (avRE as 0.019). The proposed real-time PPG measurement system (sampling frequency as 100/ 200/ 400 Hz) reduce power consumption and open the new structure for healthcare application systems
Keywords
Lossy/ lossless compression; Huffman coding; real-time PPG measurement; heart rate estimate, Message Queueing Telemetry Transport (MQTT); healthcare system
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.
