On the influence of time-series length in EMD to extract frequency content: Simulations and models in biomedical signals

Medical Engineering and Physics

Volumn 31, Issue 6, 2009, Pages 713-719

  Fonseca Pinto, R ^a,c   Ducla Soares, J L ^b   Araujo F ^b   Aguiar, P ^b   Andrade, A ^a  

^a UNIVERSITY OF LISBON   (Portugal)

^b HOSPITAL DE SANTA MARIA   (Portugal)

^c POLYTECHNIC INSTITUTE OF LEIRIA   (Portugal)

Author keywords

Empirical mode decomposition (EMD); Fractional Gaussian noise (fGn); Intrinsic mode functions (IMF); Simulation models; Time series length

Indexed keywords

EMPIRICAL MODE DECOMPOSITION (EMD); FRACTIONAL GAUSSIAN NOISE (FGN); INTRINSIC MODE FUNCTIONS (IMF); SIMULATION MODELS; TIME-SERIES LENGTH;

ACOUSTIC SIGNAL PROCESSING; BIOELECTRIC PHENOMENA; BLOOD PRESSURE; DATA COMPRESSION; FREQUENCY BANDS; FUNCTION EVALUATION; GAUSSIAN NOISE (ELECTRONIC); SIGNAL ANALYSIS; STRUCTURES (BUILT OBJECTS);

SIMULATORS;

ALGORITHM; ARTICLE; AUTONOMIC NERVOUS SYSTEM FUNCTION; BIOMEDICAL ENGINEERING; BLOOD PRESSURE VARIABILITY; BODY POSTURE; COMPUTER SIMULATION; CONTROLLED STUDY; EMPIRAL MODE DECOMPOSITION; HEART RATE VARIABILITY; PRIORITY JOURNAL; SIGNAL PROCESSING; SYMPATHETIC TONE; TIME SERIES ANALYSIS; VAGUS TONE;

ANIMALS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 67549084737     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2009.02.001     Document Type: Article

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