2018
DOI: 10.3390/s18051541
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Monitoring of Cardiorespiratory Signals Using Thermal Imaging: A Pilot Study on Healthy Human Subjects

Abstract: Heart rate (HR) and respiratory rate (RR) are important parameters for patient assessment. However, current measurement techniques require attachment of sensors to the patient’s body, often leading to discomfort, stress and even pain. A new algorithm is presented for monitoring both HR and RR using thermal imaging. The cyclical ejection of blood flow from the heart to the head (through carotid arteries and thoracic aorta) leads to periodic movements of the head; these vertical movements are used to assess HR. … Show more

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Cited by 42 publications
(30 citation statements)
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References 27 publications
(51 reference statements)
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“…Our approach was based on previous attempts to measure RR thermographically in rodents [ 8 ] and healthy volunteers [ 9 ]. Based on the description by Pereira et al [ 10 ], we developed a temperature change algorithm and implemented it in LabVIEW vision tools (Ver.…”
Section: Methodsmentioning
confidence: 99%
“…Our approach was based on previous attempts to measure RR thermographically in rodents [ 8 ] and healthy volunteers [ 9 ]. Based on the description by Pereira et al [ 10 ], we developed a temperature change algorithm and implemented it in LabVIEW vision tools (Ver.…”
Section: Methodsmentioning
confidence: 99%
“…Thermal sensors are utilized to measure the on-body temperature measurements, which is a vital indicator of person's health [12][13][14]. A vide variety of sensor devices are available that record oral, skin, tympanic, and rectal mucosa temperatures.…”
Section: Thermal Sensorsmentioning
confidence: 99%
“…However, direct line-of-sight (LOS) between camera and PUT is required. While the results are very promising regarding respiration rate, the accuracy of the heart rate is limited to a root mean square error (RMSE) of several beats per minute [22]. This is sufficient for a coarse estimate, but does not satisfy medical standards [23].…”
Section: Introductionmentioning
confidence: 99%