@techreport{parnandi2012techreport,

title = {Contactless Measurement of Heart Rate Variability from Pupillary Fluctuations},

author = {A Parnandi and R Gutierrez-Osuna},

url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/parnandi2012techreport.pdf},

year  = {2012},

date = {2012-12-04},

abstract = {The ability to measure a person’s physiological parameters in a contactless fashion without attaching electrodes to the skin has tremendous potential in making healthcare delivery more efficient. In this paper, we present a proof-of-concept method for measuring one such vital parameter, heart rate variability (HRV), in a contactless fashion from the spontaneous pupillary fluctuations. Pupillary measurements are done using a remote eye tracker for imaging and an integro-differential algorithm for the segmentation of the pupil-iris boundary. We estimate HRV from energy distribution in the low frequency (LF) (0.04 to 0.15 Hz) and high frequency (HF) (0.15 to 0.4 Hz) bands of the power spectrum of the pupillary fluctuations. In our study, we noted statistically significant correlation between the estimated HRV and the ground truth measures under a range of breathing conditions and under different illumination levels. The high degree of agreement evident in our results suggests that pupillary fluctuations obtained in a contactless fashion can be a reliable indicator of HRV.},

keywords = {Contactless sensing, Health, Heart rate variability, Stress, Wearable sensors},

pubstate = {published},

tppubtype = {techreport}

}