ICG signal denoising based on ICEEMDAN and PSO-VMD methods

Xinhai Li; Runyu Ni; Zhong Ji

doi:10.1007/s13246-024-01467-0

ScienceGate Book Chapters

JOURNAL ARTICLE

ICG signal denoising based on ICEEMDAN and PSO-VMD methods

Xinhai Li Runyu Ni Zhong Ji

Year: 2024 Journal: Physical and Engineering Sciences in Medicine Vol: 47 (4)Pages: 1547-1556 Publisher: Springer Nature

DOI: 10.1007/s13246-024-01467-0

Get Full-Text PDF Get Analytical Report

Keywords:

Hilbert–Huang transform SIGNAL (programming language) Computer science Noise (video) Signal processing Artificial intelligence Wavelet Particle swarm optimization Artifact (error) Pattern recognition (psychology) Mean squared error Noise reduction Algorithm White noise Mathematics Statistics

Metrics

Cited By

3.45

FWCI (Field Weighted Citation Impact)

Refs

0.87

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Phonocardiography and Auscultation Techniques

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

ECG Monitoring and Analysis

Health Sciences → Medicine → Cardiology and Cardiovascular Medicine

Non-Invasive Vital Sign Monitoring

Physical Sciences → Engineering → Biomedical Engineering

ICG signal denoising based on ICEEMDAN and PSO-VMD methods

Metrics

Citation History

Topics

Related Documents

ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects

LED-Lidar Echo Denoising Based on Adaptive PSO-VMD

Improved PSO-VMD seismic signal denoising method combined with modified wavelet transform

RV Reducer Torque Signal Denoising Research Based VMD

Research on signal denoising algorithm based on ICEEMDAN eddy current detection