TY - JOUR
T1 - Heart rate asymmetry in response to colored light
AU - Parvaneh, Saman
AU - Dabanloo, Nader Jafarnia
AU - Rezaei, Shahab
AU - Moharreri, Sadaf
AU - Toosizadeh, Nima
N1 - Publisher Copyright:
© 2017 IEEE Computer Society. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Heart rate asymmetry (HRA) quantifies imbalance of heart rate acceleration and deceleration. The impact of different colored lights on autonomic nervous system captured by HRA was studied in this paper. Using electrocardiogram (ECG) data for 16 female volunteers exposed to four different colored lights (red, green, blue, and yellow), three common HRA indices (Porta Index-PI, Guzik Index-GI, and Slope Index-SI) were calculated. Analysis of data revealed a statistically significant difference in PI (p<0.001), GI (p=0.006), and SI (p=0.001) depending on which colored light was used as visual stimuli. These results propose that HRA can be used as a complementary measure along with heart rate and heart rate variability to quantify heart response to colored light stimulation.
AB - Heart rate asymmetry (HRA) quantifies imbalance of heart rate acceleration and deceleration. The impact of different colored lights on autonomic nervous system captured by HRA was studied in this paper. Using electrocardiogram (ECG) data for 16 female volunteers exposed to four different colored lights (red, green, blue, and yellow), three common HRA indices (Porta Index-PI, Guzik Index-GI, and Slope Index-SI) were calculated. Analysis of data revealed a statistically significant difference in PI (p<0.001), GI (p=0.006), and SI (p=0.001) depending on which colored light was used as visual stimuli. These results propose that HRA can be used as a complementary measure along with heart rate and heart rate variability to quantify heart response to colored light stimulation.
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U2 - 10.22489/CinC.2017.320-369
DO - 10.22489/CinC.2017.320-369
M3 - Conference article
AN - SCOPUS:85045079811
SN - 2325-8861
VL - 44
SP - 1
EP - 4
JO - Computing in Cardiology
JF - Computing in Cardiology
T2 - 44th Computing in Cardiology Conference, CinC 2017
Y2 - 24 September 2017 through 27 September 2017
ER -