Dynamic heart rate monitors algorithm for reflection green light wearable device

The paper proposed dynamic direct heart rate algorithms in wearable device. Green light LED to direct heart rate is very popular in recent years which used analogy signal feedback to microcontroller calculation. However, the different person physical signals are independent that including body fat, physical color, blood concentrations and oxygen concentration to influence observer data. Moreover, the body shock influence reflection feedback signal. This paper proposed automatic initial detect process and dynamic direct heart rate filter algorithms to process feedback analogy error noise. We presented a low cost solution for Texas Instruments AFE4403 heart rate oximeters with MSP430G2553 microcontroller to monitors body heart rate in wearable device. MSP430G2553 only have 512 byte RAM and 8k flash memory, so that the digital process calculation is an important topic. Finally, the experimental results show the dynamic algorithm has satisfactory performance.