Self-adaptive variable threshold-value filtering method of photoelectric reflecting type pulse and heart rate sensor

Abstract

The invention discloses a self-adaptive variable threshold-value filtering method of a photoelectric reflecting type pulse and heart rate sensor, and relates to a medical electronic measuring method. The self-adaptive variable threshold-value filtering method is characterized in that since the amplitude of a dicrotic wave is directly proportional to the amplitude of a pulse wave causing the dicrotic wave, a threshold value is set after a voltage peak caused by a normal pulse wave is measured at a certain time, and the threshold-value voltage is one third of the voltage peak value caused by the normal pulse wave; sampling values which are smaller than the threshold value are all considered as interference values caused by the pulse wave, a sampling value is not considered as a voltage rising process of the normal pulse wave until the sampling value is greater than the threshold value, and a moment can be remembered when the voltage peak of the pulse wave appears again; the time difference between twice pulses can be measured through the time difference between the two voltage peaks, and further a heart rate value can be calculated; a voltage fluctuation signal, which is caused by vascular pulsation, of a human tissue can be monitored in real time, the interference caused by the dicrotic wave can be effectively removed, and the non-contact type heart rate measuring stability can be increased to a large extent.

Description

technical field [0001] The invention relates to a medical electronic measurement method, in particular to a photoelectric reflective pulse heart rate sensor adaptive variable threshold filtering method. Background technique [0002] Non-invasive monitoring technology is an important direction for the development of medical engineering in the future, and the human pulse signal contains rich physiological information, which has gradually aroused great interest of clinicians. There are three main traditional pulse measurement methods: one is to extract from the ECG signal; the other is to calculate the pulse heart rate from the fluctuation detected by the pressure sensor when measuring blood pressure; the third is the photoelectric volume method. The first two methods of extracting signals will limit the activity of the subject, and if used for a long time, it will increase the physical and psychological discomfort of the subject. As one of the most common methods in monitorin...

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Therefore, the measurement accuracy of existing algorithms is not high

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