Heart Rate Measurements with a Web Camera Based on the Facial Image Moving in the Frame

Muratov, Yevgeniy R.; Nikiforov, Michael B.; Melnik, Olga V.; Loskutov, Aleksandr

doi:10.1109/meco52532.2021.9460180

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…Previous research studies have used a variety of different equipment and set-up to capture data from participants to obtain vital signs. Thermal camera [67], [68], [69], [70], Charge-Coupled Device (CCD) camera [71], [72], other affordable web cameras or those built-in laptops [73], [74], [75], [76], [77], [78], [79], [80], [81], MS Kinect V2 [82], [83], [66], Kinect Azure [84], GoPro camera with a drone [85] and smartphone [86], [87], [88], [89], [90], [91], [92], [93], [94] cameras have been previously used to obtain a person’s vital signs. Table V and Table IV show different studies conducted with various equipment and the vital sign under observation.…”

Section: Rppg Processmentioning

confidence: 99%

Remote Photoplethysmography (rPPG): A State-of-the-Art Review

Pirzada,

Wilde,

Doherty

et al. 2023

Preprint

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Peripheral oxygen saturation (SpO2) and heart rate (HR) are critical physiological measures that clinicians need to observe to decide on an emergency intervention. These measures are typically determined using a contact-based pulse oximeter. This approach may pose difficulties in many cases, such as with young children, patients with burnt or sensitive skin, cognitive impairments, and those undergoing certain medical procedures or severe illnesses. Remote Photoplethysmography (rPPG) allows for unobtrusive sensing of these vital signs in a variety of settings for health monitoring systems. Several research studies have been conducted to use rPPG for this purpose; however, there is still not a commercially available, clinically validated system that overcomes the concerns highlighted in this paper. We present a state-of-the-art review of rPPG-related research conducted including related processes and techniques, such as regions of interest (ROI) selection, extracting the raw signal, pre-processing data, applying noise reduction algorithms, Fast Fourier transforms (FFT), filtering and extracting these vital signs. Further, we present a detailed, critical evaluation of available rPPG systems. Limitations and future directions have also been identified to aid rPPG researchers in further advancing this field.

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Section: Rppg Processmentioning

confidence: 99%

Remote Photoplethysmography (rPPG): A State-of-the-Art Review

Pirzada,

Wilde,

Doherty

et al. 2023

Preprint

View full text Add to dashboard Cite

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Section: Cv-based Hr Monitoringmentioning

confidence: 99%

“…In the ROI selection phase, face detection algorithms such as HAAR [7], HOG [8], or deep neural networks are first used to achieve face detection, and then the ROI is selected for raw signal extraction. Several areas of the face, including the forehead and cheeks have been used as the ROI [8][9][10][11]. Using 68 facial landmarks was shown to enable the selection of ROI at the locations of large skin areas where the Signal-to-Noise Ratio (SNR) is higher [12].…”

Section: Cv-based Hr Monitoringmentioning

confidence: 99%

Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approaches

Yang,

Metcalfe,

Watson

et al. 2023

Lecture Notes in Computer Science

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The Heart Rate (HR) is a vital sign that is used to assess the physical and mental state of an individual. There is a growing interest in incorporating HR measurement into Driver Monitoring Systems (DMS), providing physiological measurements to help address long-existing road safety issues by minimising human error. In real-world driving scenarios, the HR must be measured using noncontact approaches that avoid distracting or restricting the driver. The most common approaches to non-contact HR measurement use either computer vision (CV) or mm-wave radar, both showing acceptable performances in controlled studies. However, the relative merits of different sensor modalities for real-world scenarios remain unclear, and the potential benefits of a combined approach are unquantified. To address these questions, this paper first proposes and implements non-contact HR measurement architectures for both CV and mm-wave radar systems and characterises their HR estimation performance, using electrocardiography (ECG) to provide ground truth measurements. The effects of distance to sensors and of illumination variations on HR estimation are also studied, showing the relative errors for both modalities to be less than 0.5% for the distances found in practical DMS. These results also highlight the distinctive characteristics of each modality and the benefits of a multi-modality approach for DMS.

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Remote Photoplethysmography for Heart Rate and Blood Oxygenation Measurement: A Review

Pirzada,

Wilde,

Harris-Birtill

2024

IEEE Sensors J.

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Usually measured through obtrusive contact-based methods, heart rate (HR) and peripheral oxygen saturation (SpO 2 ) are critical physiological signs used by clinicians during emergency interventions. Remote Photoplethysmography (rPPG) allows for unobtrusive sensing of these vital signs for health monitoring in various settings. We present a review of rPPG-related research conducted including related processes and techniques, such as regions of interest (ROI) selection, extracting the raw signal, pre-processing data, applying noise reduction algorithms, Fast Fourier transforms (FFT), filtering and extracting these vital signs. Further, we present a detailed, critical evaluation of available rPPG systems. Limitations and future directions have also been identified to further advance this field.

show abstract

Heart Rate Measurements with a Web Camera Based on the Facial Image Moving in the Frame

Cited by 3 publications

References 13 publications

Remote Photoplethysmography (rPPG): A State-of-the-Art Review

Remote Photoplethysmography (rPPG): A State-of-the-Art Review

Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approaches

Remote Photoplethysmography for Heart Rate and Blood Oxygenation Measurement: A Review

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