Estimation of Heart Rate and Respiratory Rate from PPG Signal Using Complementary Ensemble Empirical Mode Decomposition with both Independent Component Analysis and Non-Negative Matrix Factorization
This paper proposes a framework combining the complementary ensemble empirical mode decomposition with both the independent component analysis and the non-negative matrix factorization for estimating both the heart rate and the respiratory rate from the photoplethysmography (PPG) signal. After perfo...
Main Authors: | Ruisheng Lei, Bingo Wing-Kuen Ling, Peihua Feng, Jinrong Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/11/3238 |
Similar Items
-
A Stock Price Forecasting Model Integrating Complementary Ensemble Empirical Mode Decomposition and Independent Component Analysis
by: Youwei Chen, et al.
Published: (2022-09-01) -
Multistage Adaptive Noise Cancellation Scheme for Heart Rate Estimation From PPG Signal Utilizing Mode Based Decomposition of Acceleration Data
by: Md. Toky Foysal Talukdar, et al.
Published: (2022-01-01) -
Noise Suppression Method of Microseismic Signal Based on Complementary Ensemble Empirical Mode Decomposition and Wavelet Packet Threshold
by: Ling-Qun Zuo, et al.
Published: (2019-01-01) -
Noncontact Measurement and Detection of Instantaneous Seismic Attributes Based on Complementary Ensemble Empirical Mode Decomposition
by: Yaping Huang, et al.
Published: (2017-10-01) -
Effective forecast of Northeast Pacific sea surface temperature based on a complementary ensemble empirical mode decomposition–support vector machine method
by: Qi-Jie LI, et al.
Published: (2017-05-01)