Principal component analysis as a tool for analyzing beat-to-beat changes in ECG features: Application to ECG-derived respiration

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 4, 2010, Pages 821-829

  Langley, Philip ^a,b   Bowers, Emma J ^b   Murray, Alan ^b  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b FREEMAN HOSPITAL   (United Kingdom)

Author keywords

ECG derived respiration (EDR); Principal component analysis (PCA)

Indexed keywords

ALGORITHMS; DATA HANDLING; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES;

BREATHING SIGNALS; CROSS CORRELATIONS; ECG MORPHOLOGIES; MAGNITUDE SQUARED COHERENCES; NOVEL ALGORITHM; P WAVES; PCA ALGORITHMS; PRINCIPAL COMPONENTS; QRS COMPLEXES; RANKING ALGORITHM; RESPIRATORY SIGNALS; RR INTERVALS; T WAVES;

PRINCIPAL COMPONENT ANALYSIS;

ADULT; ALGORITHM; ARTICLE; BREATHING EXERCISE; BREATHING RATE; ELECTROCARDIOGRAPHY; EXTRASYSTOLE; FEMALE; HEART BEAT; HEART RATE VARIABILITY; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; P WAVE; PRINCIPAL COMPONENT ANALYSIS; QRS COMPLEX; RESPIRATORY FUNCTION; T WAVE; MIDDLE AGED; NONPARAMETRIC TEST; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; SUPRAVENTRICULAR PREMATURE BEAT;

ADULT; ALGORITHMS; ATRIAL PREMATURE COMPLEXES; ELECTROCARDIOGRAPHY; FEMALE; HUMANS; MALE; MIDDLE AGED; PRINCIPAL COMPONENT ANALYSIS; RESPIRATORY RATE; SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS, NONPARAMETRIC;

EID: 77950208790     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2018297     Document Type: Article

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