@inproceedings{85ac5a030edd4b56b571df853960f04b,
title = "An in Situ Embedded System for Electrocardiography and Photoplethysmography Acquisition",
abstract = "In this paper, an in situ wearable system combined with Electrocardiography (ECG), Photoplethysmography (PPG), and acceleration signals are developed. To avoid artifact signals, a dynamic Kalman filtering algorithm suitable for embedded systems is proposed for smoothing of ECG signal and PPG signal. A precise frequency filtering algorithm for PPG motion artifact reconstruction is used. The whole system shows good stability and can measure the physiological signal for long time. This work provides a practical solution for the wearable electronics.",
keywords = "ECG, PPG, dynamic Kalman filtering, in situ, motion artifact reconstruction",
author = "Zepeng Huang and Zewei Luo and Liangjian Lyu and Xing Wu",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th IEEE International Conference on Electronics Technology, ICET 2022 ; Conference date: 13-05-2022 Through 16-05-2022",
year = "2022",
doi = "10.1109/ICET55676.2022.9824681",
language = "英语",
series = "2022 IEEE 5th International Conference on Electronics Technology, ICET 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "718--722",
booktitle = "2022 IEEE 5th International Conference on Electronics Technology, ICET 2022",
address = "美国",
}