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Illumination Adaptation in a Multi-Wavelength Opto-Electronic Patch Sensor

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2020 Aug 23
PMID 32825761
Citations 1
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Abstract

In capturing high-quality photoplethysmographic signals, it is crucial to ensure that appropriate illumination intensities are used. The purpose of the study was to deliver controlled illumination intensities for a multi-wavelength opto-electronic patch sensor that has four separate arrays each consisting of four light-emitting diodes (LEDs), the wavelength of the light generated by each array being different. The study achieved the following: (1) a linear constant current source LED driver incorporating series negative feedback using an integrated operational amplifier circuit; (2) the fitting of a linear regression equation to provide rapid determination of the LEDs driver voltage; and (3) an algorithm for the automatic adjustment of the output voltage to ensure suitable LED illumination. The data from a single centrally-located photo detector, which is capable of capturing all four channels of back-light in a time-multiplexed manner, were used to monitor heart rate and blood oxygen saturation. This paper provides circuitry for driving the LEDs and describes an adaptive algorithm implemented on a microcontroller unit that monitors the quality of the photo detector signals received in order to control each of the individual currents being supplied to the LED arrays. The study demonstrated that the operation of the new circuitry in its ability to adapt LED illumination to the strength of the signal received and the performance of the adaptive system was compared with that of a non-adaptive approach.

Citing Articles

The Study of Aviation Safe Incapacitating Device Based on LED Technology with a Smart-Illumination Sensor Unit.

Leuchter J, Hon L, Bloudicek R, Balaz T, Blasch E Sensors (Basel). 2020; 21(1).

PMID: 33375586 PMC: 7795198. DOI: 10.3390/s21010081.

References
1.
Abay T, Kyriacou P . Reflectance Photoplethysmography as Noninvasive Monitoring of Tissue Blood Perfusion. IEEE Trans Biomed Eng. 2015; 62(9):2187-95. DOI: 10.1109/TBME.2015.2417863. View

2.
Stojanovic R, Karadaglic D . Design of an oximeter based on LED-LED configuration and FPGA technology. Sensors (Basel). 2013; 13(1):574-86. PMC: 3574692. DOI: 10.3390/s130100574. View

3.
Asada H, Shaltis P, Reisner A, Rhee S, Hutchinson R . Mobile monitoring with wearable photoplethysmographic biosensors. IEEE Eng Med Biol Mag. 2003; 22(3):28-40. DOI: 10.1109/memb.2003.1213624. View

4.
Allen J . Photoplethysmography and its application in clinical physiological measurement. Physiol Meas. 2007; 28(3):R1-39. DOI: 10.1088/0967-3334/28/3/R01. View

5.
Alzahrani A, Hu S, Azorin-Peris V . A Comparative Study of Physiological Monitoring with a Wearable Opto-Electronic Patch Sensor (OEPS) for Motion Reduction. Biosensors (Basel). 2015; 5(2):288-307. PMC: 4493550. DOI: 10.3390/bios5020288. View