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Optimum wavelengths in the near infrared for imaging photoplethysmography.
IEEE Transactions on Bio-medical Engineering 2019 Februrary 5
OBJECTIVE: The purpose of this contribution is to determine the ideal near infrared wavelength bands for monochromatic and dual-band remote heartbeat detection using imaging photoplethysmography of the forehead.
METHODS: Experimental data of 38 healthy volunteers has been recorded and analyzed. For the data acquisition a fast hyperspectral imager has been used. A new combination approach has been implemented which computes the quotient of the bands and therefore reduces motion artifacts.
RESULTS: With this dual-band method excellent results (1.67 beats per minute mean deviation from ECG measurements for 73 recordings) have been obtained using a simple algorithm to analyze images at 799 nm and 861 nm.
CONCLUSION: It can be concluded that excellent imaging PPG measurements can be performed at low cost using conventional siliconbased image sensors with invisible light in the near infrared region.
SIGNIFICANCE: This approach is a contribution to the development of non-contact heart rate measurement systems that can be used for medical diagnosis or other applications.
METHODS: Experimental data of 38 healthy volunteers has been recorded and analyzed. For the data acquisition a fast hyperspectral imager has been used. A new combination approach has been implemented which computes the quotient of the bands and therefore reduces motion artifacts.
RESULTS: With this dual-band method excellent results (1.67 beats per minute mean deviation from ECG measurements for 73 recordings) have been obtained using a simple algorithm to analyze images at 799 nm and 861 nm.
CONCLUSION: It can be concluded that excellent imaging PPG measurements can be performed at low cost using conventional siliconbased image sensors with invisible light in the near infrared region.
SIGNIFICANCE: This approach is a contribution to the development of non-contact heart rate measurement systems that can be used for medical diagnosis or other applications.
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