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An innovative signal processing algorithm for near infrared laser-based pulse oximeter

R. Giannetti, S.M. López-Silva, M.L. Dotor, J.R. Sendra, J.P. Silveira, F. Briones

Pulse oxymetry is a widely used technique for the non-invasive monitoring of arterial blood hemoglobin oxygen saturation and heart rate. In this paper we present an innovative method of digital elaboration of the photopletismographic signal obtaining by monitoring the absorption of laser light at different waveforms. The advantages of the proposed method, based on a digital linear filtering followed by a non-linear histogram-based processing, are a good noise immunity with respect to electrical interferences and movement artifacts together with a low computational requirements. Dynamic and statical oxygen rate measurements in human volunteers were performed, both with healtly subjects performing deep apnoeas and with patients with respiratory failure conditions.


Palabras clave: Pulse oximeter, data elaboration, noise.

10th/3rd International Symposium on Development in Digital Measuring Instrumentation and Workshop on ADC Modelling and Testing, Nápoles, Nápoles (Italia). 17 septiembre 1998

Fecha de publicación: septiembre 1998.



Cita:
R. Giannetti, S.M. López-Silva, M.L. Dotor, J.R. Sendra, J.P. Silveira, F. Briones, An innovative signal processing algorithm for near infrared laser-based pulse oximeter, 10th/3rd International Symposium on Development in Digital Measuring Instrumentation and Workshop on ADC Modelling and Testing - ISDDMI '98. Nápoles, Italia, 17-18 Septiembre 1998


    Líneas de investigación:

IIT-98-093A

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