Measuring of oxygen saturation using pulse oximeter based on fuzzy logic
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Dosyalar
Tarih
2012
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info:eu-repo/semantics/closedAccess
Özet
The pulse oximeter is the most used device due to be a noninvasive method in measuring the oxygen level in blood. In the pulse oximeter, red and IR (Infrared) LEDs (light emitting diode) sent signals to the photodiode. An equation or relationship between the ratio (R) of signals (red and IR) received by photodiode with the oxygen saturation value (SpO 2) needs to model the value of blood oxygen saturation. Normally, the calibration curve needs to create this equation. A calibration device is necessary to obtain this calibration curve. Since this device is very expensive, absorbation coefficients obtained from healthy individuals have been used both to create this curve and to decrease the cost of pulse oximeter. In this study, firstly, R (ratio) value is calculated according to absorption rates of signals, which are sent by red and IR LEDs in finger mounted oxygen saturation sensor. The obtained R value has been used as the input to fuzzy logic then SpO 2 value has been calculated. Also, a linear relationship between SpO 2 and R values has been created with absorption coefficients using linear regression method and compared with SpO 2 values calculated by fuzzy logic method. The results show that the SpO 2 values, which are calculated by fuzzy logic, are more reliable and healthy.
Açıklama
IEEE;IEEE Instrumentation and Measurement Society (I and M)
2012 IEEE Symposium on Medical Measurements and Applications, MeMeA 2012 -- 18 May 2012 through 19 May 2012 -- Budapest -- 91247
2012 IEEE Symposium on Medical Measurements and Applications, MeMeA 2012 -- 18 May 2012 through 19 May 2012 -- Budapest -- 91247
Anahtar Kelimeler
Fuzzy Logic, Oxygen Saturation, Pulse Oximeter Device, SpO2 Sensor
Kaynak
2012 IEEE Symposium on Medical Measurements and Applications, Proceedings
WoS Q Değeri
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