USE OF THE PARAMETERS OF THE LAW OF DISTRIBUTION OF THE MEASUREMENT ERRORS OF THE PULSE OXIMETER TO SELECT THE SENSOR SETTINGS
DOI:
https://doi.org/10.15588/1607-3274-2025-4-2Keywords:
sensor, Internet of Things, measurement errors, pulse oximeterAbstract
Context is due to the need to develop a methodology for optimising the parameters of pulse oximeter sensor settings based on the practical determination of the accuracy of heart rate and blood oxygen saturation measurements, which, unlike existing ones, do not require analysis of the amplitude of the LED current.
A pulse oximeter is one of the sensors that monitor the patient’s vital signs, heart rate and blood oxygen saturation in particular. These indicators are determined based on the analysis of the values of the variable and constant components of the current of the red and infrared LEDs of the pulse oximeter sensor. Therefore, the accuracy of determining vital signs depends on the correct choice of the brightness and duration of the LEDs’ radiation. It is possible to select the current and duration of the LEDs’ radiation, as well as the ADC parameters of the sensor using software. In this case, the final conclusion regarding the correctness of the selected sensor settings is made based on the practical determination of the accuracy of heart rate and blood oxygen saturation measurements.
The object is to develop a methodology for assessing the correctness of the pulse oximeter sensor settings based on the analysis of the stationarity of errors in heart rate and blood oxygen saturation measurements.
Method. An experimental study of the accuracy of heart rate and blood oxygen saturation measurements by statistical analysis of measurement errors of the developed pulse oximeter model.
Results. The practical application of the proposed methodology for determining the optimal parameters of the pulse oximeter
sensor settings was tested using the example of heart rate measurements.
Conclusion. A methodology has been developed to assess the correctness of the choice of sensor setting parameters based on analysing the stationarity of errors in measuring heart rate and oxygen saturation in the patient’s blood. With the help of the developed methodology, the optimal settings parameters of the MAX30102 sensor of the pulse oximeter developed based on the ESP32 board were selected, which ensures the minimum error in measuring heart rate and blood oxygen saturation
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