Article

Remote heart rate monitoring method using infrared thermal camera

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Abstract

The heart rate and heart rate variability are types of biometric information that are used in healthcare and wellness applications. Although attached-sensor-based photoplethysmography methods are widely used, they are not suitable for athletes, patients, and babies, who have difficulty wearing sensors. Generally, the human skin exhibits minute temperature changes due to blood flow. These changes are challenging to visually grasp, even with a thermal camera. In this paper, a thermal camera and some image processing methods are used to amplify the minute temperature changes due to facial-skin blood flow, and the heart rate is calculated using the amplified temperature signal. Results showed that the proposed method estimated heart rate of about 95% accuracy in cases of accurately detected blood vessel.

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... The heart rate measurement with the RGB camera utilizes changes in skin color that can be observed in one of the three color channels in the RGB image. While in thermal cameras, discriminant characteristics can be obtained based on the two most popular methods: using the blood perfusion temperature changes from a particular pixel [49,78,79] or by analyzing the head movement based on Balistocardiography (BCG) [80,81]. ...
... For example, Bennet et al. [79] use a FLIR-A camera with 640 × 480 pixels and 60 FPS framerate. On the other hand, Kim et al. [49] use a FLIR T430sc camera with 320 × 240 pixels and 12 FPS framerate. Unfortunately, Gault et al. [78] use pre-recorded thermal video with ten subjects without further detail about the camera specification. ...
... For studies that are using temperature changes methods, they select some regions such as the highest blood vessel temperature region on the skin [49,78] or chest [79] as the ROI. In other parts, for the head movement-based method, they use the entire head as an ROI and track its movement [80,81]. ...
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Preprint
Full-text available
Abstract—Every year, an increasingly large number of neonatal deaths occur in India. Premature birth and asphyxia are being two of the leading causes of these neonatal deaths. A well-regulated thermal environment is critical for neonatal survival. In the current scenario, it is impossible for the health centers in the rural areas of India to afford a neonatal incubator for every newborn due to its price and transportability. The successful delivery of neonates is hampered in India due to its increasing population along with limited technology and resources. Thus, a prototype of an incubator has been designed that is affordable, transportable, and energy saving for the health centers in the rural regions, with an AI-based decision support system.
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