Motion artifact reduction in photopleythysmography using magnitude-based frequency domain independent component analysis

Proceedings - International Conference on Computer Communications and Networks, ICCCN

Volumn , Issue , 2008, Pages 309-313

  Krishnan, Rajet ^a   Natarajan, Balasubramaniain ^a   Warren, Steve ^a  

^a 129 Seaton Hall   (United States)

Author keywords

Independent component analysis (ICA); Magnitude based frequency domain ICA (FD ICA); Motion detection unit (MDU); Photoplethysmogram (PPG)

Indexed keywords

COMPLEX FREQUENCIES; CONTINUOUS STATES; DATA FRAMES; FREQUENCY COMPONENTS; FREQUENCY DOMAIN INDEPENDENT COMPONENT ANALYSIS; FUNDAMENTAL FREQUENCIES; HEALTH MONITORING; INDEPENDENT COMPONENT ANALYSIS (ICA); MAGNITUDE-BASED FREQUENCY DOMAIN ICA (FD-ICA); MOTION ARTIFACT REDUCTIONS; MOTION ARTIFACTS; MOTION DETECTION UNIT (MDU); PERIOD ESTIMATIONS; PHOTOPLETHYSMOGRAM (PPG); PREPROCESSED DATUMS; PREPROCESSING UNITS; PULSE OXIMETERS; PULSE WAVEFORMS; RECONSTRUCTION PROCESSES; TIME DOMAINS;

BLIND SOURCE SEPARATION; COMPUTER NETWORKS; FINITE DIFFERENCE METHOD; FOURIER ANALYSIS; FOURIER SERIES; FREQUENCY DOMAIN ANALYSIS; HARMONIC ANALYSIS; HEMODYNAMICS; OXIMETERS; REPAIR; RESTORATION; SIGNAL RECONSTRUCTION; TIME DOMAIN ANALYSIS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 57849156264     PISSN: 10952055     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCN.2008.ECP.71     Document Type: Conference Paper

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