Obstructive sleep apnea classification based on spectrogram patterns in the electrocardiogram

Computers in Cardiology

Volumn , Issue , 2000, Pages 749-752

  McNames, J N ^a,c   Fraser, A M ^a,b  

^a Portland State University   (United States)

^b PORTLAND STATE UNIVERSITY   (United States)

^c Mail Code ECE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CARDIOVASCULAR SYSTEM; ELECTROCARDIOGRAPHY; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; HEALTH RISKS; SIGNAL FILTERING AND PREDICTION; SPECTROGRAPHS;

COMPUTERS IN CARDIOLOGY; HEART RATE; OBSTRUCTIVE SLEEP APNEA; PULSE ENERGY; SPECTROGRAM PATTERNS;

CARDIOLOGY;

EID: 0034480945     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Patwardhan A, Vallurupalli S, Evans J, Knapp C, Bruce E. Use of amplitude-mosulated breathing for assesment of cardiorespiratory frequency response within subrespiratory frequencies. IEEE Trans Biomed Eng Feb 1998;45(2):268-273.
2. Tanaka M, Takaishi S, Ohdaira T, Kobayashi T, Maruyama R, Ahn B, Masuda A, Masuyama S, Honda Y. Dependence of biphasic heart rate response to sustained hypoxia on magnitude of ventilation in man. Japanese J Physiology 1992; 42(6):865-875.
3. Hirsch J, Bishop B. Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate. Amer J Physio Oct. 1981;10(4):H620-H629.
4. Ludwig C. Beitrage zur Kenntniss des Einflusses der Respirations bewegungen auf den Blutlauf im Aortensysteme. Arch Anat Physiol 1847;13:242-302.