This paper introduces an algorithm for the estimation of heart rate during physical activities through photoplethysmographic signals, acquired by a wearable device. Firstly, the algorithm has been developed in Matlab and then ported in C language. In this way, it has been possible to test it on a low-power micro-controller (STM32F4DISCOVERY) and to check the similarity of the results, given by the two algorithm versions. Moreover, tests conducted on a public dataset show that the algorithm is real-time compliant. Finally, the power consumption estimation conducted proves the feasibility of a wearable device since the micro-controllers requires less than 20 mW.
DEVELOPMENT OF A REAL-TIME HEART RATE ESTIMATION ALGORITHM ON A LOW-POWER DEVICE
FONTANELLA, ALESSANDRO;TORTI, EMANUELE;DANESE, GIOVANNI;LEPORATI, FRANCESCO
2017-01-01
Abstract
This paper introduces an algorithm for the estimation of heart rate during physical activities through photoplethysmographic signals, acquired by a wearable device. Firstly, the algorithm has been developed in Matlab and then ported in C language. In this way, it has been possible to test it on a low-power micro-controller (STM32F4DISCOVERY) and to check the similarity of the results, given by the two algorithm versions. Moreover, tests conducted on a public dataset show that the algorithm is real-time compliant. Finally, the power consumption estimation conducted proves the feasibility of a wearable device since the micro-controllers requires less than 20 mW.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
