Performance evaluation of three methods for respiratory signal estimation from the electrocardiogram.
A comparative study of three methods for estimating respiratory signal through electrocardiogram (ECG) was carried out. The three methods analyzed were based on R wave area, R peak amplitude and heart rate variability (HRV). For each method, cross-correlation coefficient and spectral coherence in a range of frequencies up to 0.5 Hz were computed between the ECG derived respiratory signals (EDR) and the three real respiratory signals: oronasal, and two inductance plethysmographies recordings (chest and abdominal). Results indicate that EDR methods based on R wave area and HRV are better correlated and show a wider spectral coherence with real respiratory signals than the other EDR method based on R peak amplitude.
Correa
Lorena S
LS
Gabinete de Tecnología Médica, Universidad Nacional de San Juan, Argentina. lcorrea@gateme.unsj.edu.ar
Laciar
Eric
E
Torres
Abel
A
Jane
Raimon
R
D000465:Algorithms; D003201:Computers; D004562:Electrocardiography / Q000379:methods*; D005189:False Positive Reactions; D006339:Heart Rate; D006801:Humans; D010991:Plethysmography / Q000379:methods*; D015203:Reproducibility of Results; D012119:Respiration; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013997:Time Factors