TY - GEN
T1 - Assessment of joint interactions between respiration and baroreflex activity using joint symbolic dynamics in heart failure patients
AU - Kabir, Muammar M.
AU - Ghafoori, Elyar
AU - Tereshchenko, Larisa G.
N1 - Publisher Copyright:
© 2015 CCAL.
PY - 2015/2/16
Y1 - 2015/2/16
N2 - In this paper we employed a novel approach based on joint symbolic dynamics (JSD) to study interaction between respiratory phase and baroreflex activity. Electrocardiogram (ECG) and blood pressure recordings from six participants with history of heart failure were included in this study. First, the ECG R-peaks and systolic blood pressure indices were detected using parabolic fitting. Second, the respiratory signal was derived from Frank orthogonal ECG leads using QRS slopes and R-wave angles. Third, time series of R-R intervals and systolic blood pressure (SBP) were extracted, and respiratory phases were obtained using the Hilbert transform. Subsequently, each series was transformed into binary symbol vectors based on their successive changes and words of length '2' were formed. Baroreflex patterns were studied using word combinations representing baroreflex activity for specific changes in respiratory phases. Baroreflex activity was significantly higher for alternating low-high/high-low heart rate and SBP during inspiration as compared to continuous increase or decrease in heart rate and SBP (wiSBP=10,wiHR=01,wRP=11: 39.1±9.3% vs. wiSBP=00,wiHR=11,wRP=11: 6.4±3.9%, p<0.0001).
AB - In this paper we employed a novel approach based on joint symbolic dynamics (JSD) to study interaction between respiratory phase and baroreflex activity. Electrocardiogram (ECG) and blood pressure recordings from six participants with history of heart failure were included in this study. First, the ECG R-peaks and systolic blood pressure indices were detected using parabolic fitting. Second, the respiratory signal was derived from Frank orthogonal ECG leads using QRS slopes and R-wave angles. Third, time series of R-R intervals and systolic blood pressure (SBP) were extracted, and respiratory phases were obtained using the Hilbert transform. Subsequently, each series was transformed into binary symbol vectors based on their successive changes and words of length '2' were formed. Baroreflex patterns were studied using word combinations representing baroreflex activity for specific changes in respiratory phases. Baroreflex activity was significantly higher for alternating low-high/high-low heart rate and SBP during inspiration as compared to continuous increase or decrease in heart rate and SBP (wiSBP=10,wiHR=01,wRP=11: 39.1±9.3% vs. wiSBP=00,wiHR=11,wRP=11: 6.4±3.9%, p<0.0001).
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U2 - 10.1109/CIC.2015.7411034
DO - 10.1109/CIC.2015.7411034
M3 - Conference contribution
AN - SCOPUS:84964027571
T3 - Computing in Cardiology
SP - 809
EP - 812
BT - Computing in Cardiology Conference 2015, CinC 2015
A2 - Murray, Alan
PB - IEEE Computer Society
T2 - 42nd Computing in Cardiology Conference, CinC 2015
Y2 - 6 September 2015 through 9 September 2015
ER -