DocumentCode :
717412
Title :
Blood oxygen saturation measurement by smartphone camera
Author :
Lamonaca, Francesco ; Carni, Domenico Luca ; Grimaldi, Domenico ; Nastro, Alfonso ; Riccio, Maria ; Spagnolo, Vitaliano
Author_Institution :
Dept. of Inf., Modelling, Electron. & Syst. Eng., Univ. of Calabria, Rende, Italy
fYear :
2015
fDate :
7-9 May 2015
Firstpage :
359
Lastpage :
364
Abstract :
This study investigates the usability of the smartphone camera for the evaluation of arterial blood oxygenation (SpO2%). The advantage of this solution derives from the pervasiveness of the smartphone that makes available the evaluation of the SpO2% everywhere. Differently from the pulse oximeter, which uses well-defined wavelength light, the smartphone uses Light Emitting Diodes as a light source to evaluate the SpO2%. The change of the light intensity in the Red and Green colour channels in the video frames of the patient fingertip are properly processed. Two PPG signals are obtained at the wavelengths 600nm and 940nm, respectively. These two PPGs are used to evaluate the SpO2% without calibration coefficients and independently of the smartphone hardware and skin characteristics. Experimental tests are performed to compare the proposed procedure with respect to a commercial pulse oximeter and gas chromatograph. The experimental tests assess the effectiveness of the proposal.
Keywords :
cameras; chromatography; light emitting diodes; light sources; medical signal processing; oximetry; photoplethysmography; skin; smart phones; PPG signals; SpO2; arterial blood oxygenation; blood oxygen saturation measurement; gas chromatograph; green colour channels; light emitting diodes; light intensity; light source; patient fingertip; pulse oximeter; red colour channels; skin characteristics; smartphone camera; smartphone hardware; video frames; wavelength 600 nm; wavelength 940 nm; wavelength light; Absorption; Biomedical measurement; Blood; Cameras; Light emitting diodes; Monitoring; Pulse measurements; Bio-signal Processing; Oxygen saturation measurement; Photoplethysmogram signal; Signal feature extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on
Conference_Location :
Turin
Type :
conf
DOI :
10.1109/MeMeA.2015.7145228
Filename :
7145228
Link To Document :
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