Peripheral vasomotor activity assessment using a continuous wavelet analysis on webcam photoplethysmographic signals

Bousefsaf, Frédéric; Maaoui, Choubeila; Pruski, Alain

doi:10.3233/bme-161606

Cited by 27 publications

(30 citation statements)

References 22 publications

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“…We applied a wavelet filtering proposed in [44] to suppress secondary frequency components. This filtering consists of two steps: first a wide Gaussian window suppresses frequency components remote from the frequency corresponding to maximum of average power over 30 s (global filtering for suppressing side bands that could cause ambiguities in local filtering).…”

Section: Methodsmentioning

confidence: 99%

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Using imaging photoplethysmography for heart rate estimation in non-human primates

et al. 2018

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For humans and for non-human primates heart rate is a reliable indicator of an individual’s current physiological state, with applications ranging from health checks to experimental studies of cognitive and emotional state. In humans, changes in the optical properties of the skin tissue correlated with cardiac cycles (imaging photoplethysmogram, iPPG) allow non-contact estimation of heart rate by its proxy, pulse rate. Yet, there is no established simple and non-invasive technique for pulse rate measurements in awake and behaving animals. Using iPPG, we here demonstrate that pulse rate in rhesus monkeys can be accurately estimated from facial videos. We computed iPPGs from eight color facial videos of four awake head-stabilized rhesus monkeys. Pulse rate estimated from iPPGs was in good agreement with reference data from a contact pulse-oximeter: the error of pulse rate estimation was below 5% of the individual average pulse rate in 83% of the epochs; the error was below 10% for 98% of the epochs. We conclude that iPPG allows non-invasive and non-contact estimation of pulse rate in non-human primates, which is useful for physiological studies and can be used toward welfare-assessment of non-human primates in research.

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Section: Methodsmentioning

confidence: 99%

“…As suggested in the original article, we employed Morlet wavelets. We used scaling factors 2 and 5 for global and local filtering, respectively (see [44] for details), since these parameters provide best pulse rate estimation in our case. We implemented wavelet filtering using Matlab functions / from Wavelet Toolbox.…”

Section: Methodsmentioning

confidence: 99%

Using imaging photoplethysmography for heart rate estimation in non-human primates

et al. 2018

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“…The filtered signal is reconstructed by performing the inverse continuous wavelet transform. See Bousefsaf et al (2016) Figure 4: Contact PPG and iPPG signal (extracted using POS and post-processed by MA, bandpass and wavelet filtering) for P1 T24, red circles indicate diastolic minima for PPG and systolic peaks for iPPG detected using algorithm from Elgendi et al (2013) with modifications described in Subsection 2.1. Note that for contact PPG signal interbeat intervals are estimated from diastolic minima since they are more clear and prominent than peaks.…”

Section: Estimation Of Pulse Ratementioning

confidence: 99%

Pulse rate estimation using imaging photoplethysmography: generic framework and comparison of methods on a publicly available dataset

Unakafov

2018

Biomed. Phys. Eng. Express

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Objective: to establish an algorithmic framework and a benchmark dataset for comparing methods of pulse rate estimation using imaging photoplethysmography (iPPG). Approach: first we reveal essential steps of pulse rate estimation from facial video and review methods applied at each of the steps. Then we investigate performance of these methods for DEAP dataset www.eecs.qmul. ac.uk/mmv/datasets/deap/ containing facial videos and reference contact photoplethysmograms. Main results: best assessment precision is achieved when pulse rate is estimated using continuous wavelet transform from iPPG extracted by the POS method (overall mean absolute error below 2 heart beats per minute). Significance: we provide a generic framework for theoretical comparison of methods for pulse rate estimation from iPPG and report results for the most popular methods on a publicly available dataset that can be used as a benchmark.

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“…As suggested in the original article, we employed Morlet wavelets. We used scaling factors 2 and 5 for global and local filtering, respectively (see [42] for details), since these parameters provide best pulse rate estimation in our case. We implemented wavelet filtering using Matlab functions cwtft/icwtft from Wavelet Toolbox.…”

Section: Extraction and Processing Of Imaging Photoplethysmogrammentioning

confidence: 99%

Using imaging photoplethysmography for heart rate estimation in non-human primates

Unakafov

Moeller

Kagan

et al. 2018

Preprint

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For humans and for non-human primates heart rate is a reliable indicator of an individual's current physiological state, with applications ranging from health checks to experimental studies of cognitive and emotional state. In humans, changes in the optical properties of the skin tissue correlated with cardiac cycles (imaging photoplethysmogram, iPPG) allow non-contact estimation of heart rate by its proxy, pulse rate. Yet, there is no established simple and non-invasive technique for pulse rate measurements in awake and behaving animals. Using iPPG, we here demonstrate that pulse rate in rhesus monkeys can be accurately estimated from facial videos. We computed iPPGs from seven color facial videos of three awake head-stabilized rhesus monkeys. Pulse rate estimated from iPPGs was in good agreement with reference data from a pulse-oximeter with error of pulse rate estimation below 5% for 82% of all epochs, and below 10% for 98% of the epochs. We conclude that iPPG allows non-invasive and non-contact estimation of pulse rate in non-human primates, which is useful for physiological studies and can be used toward welfare-assessment of non-human primates in research.

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Peripheral vasomotor activity assessment using a continuous wavelet analysis on webcam photoplethysmographic signals

Abstract: Webcams are low-cost and non-contact devices that can be used to reliably estimate both heart rate and peripheral vasomotor activity, notably during physical exertion.

Cited by 27 publications

References 22 publications

Using imaging photoplethysmography for heart rate estimation in non-human primates

Using imaging photoplethysmography for heart rate estimation in non-human primates

Pulse rate estimation using imaging photoplethysmography: generic framework and comparison of methods on a publicly available dataset

Using imaging photoplethysmography for heart rate estimation in non-human primates

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