@inproceedings{256f45e901b34dcb86a1f9e8d2774e50,
title = "An Integrated PPG and ECG Signal Processing Hardware Architecture Design of EEMD Processor",
abstract = "This study proposed an integrated Photoplethysmogram (PPG) and Electrocardiography (ECG) signal processing hardware architecture design based on Ensemble Empirical Mode Decomposition (EEMD) The proposed integrated dual signals EEMD processor is implemented in an on-board FPGA for on-line signal processing of the non-linear and non-stationary signal. The EEMD method is appropriate to analyze the non-linear PPG and ECG signals with assisting white noise and decompose the signal into 8 sets of Intrinsic Mode Functions (IMFs). The experimental results show that the hardware architecture proposed in this study can be applied to PPG and ECG signals, and can clearly analyze and separate high-frequency and low-frequency noise, and keep clear signals without any noise.",
keywords = "Electrocardiography, Ensemble Empirical Mode Decomposition (EEMD), Field Programmable Gate Array (FPGA), Photoplethysmogram",
author = "Wai-Chi Fang and Chen, {I. Wei}",
year = "2019",
month = mar,
day = "6",
doi = "10.1109/ICCE.2019.8662097",
language = "English",
series = "2019 IEEE International Conference on Consumer Electronics, ICCE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE International Conference on Consumer Electronics, ICCE 2019",
address = "United States",
note = "2019 IEEE International Conference on Consumer Electronics, ICCE 2019 ; Conference date: 11-01-2019 Through 13-01-2019",
}