Photoplethysmography (PPG) is a non invasive measurement of the blood flow, that can be used instead of electrocardiography to estimate heart rate (HR). Most existing techniques used for HR monitoring in fitness with PPG focus on slowly running alone, while those suitable for intensive physical exercise need an initialization stage in which wearers are required to stand still for several seconds. This paper present a novel algorithm for HR estimation from PPG signal based on motion artifact removal (MAR) and adaptive tracking (AT) that overcomes limitations of the previous techniques. Experimental evaluations performed on datasets recorded from several subjects during running show an average absolute error of HR estimation of 2.26 beats per minute, demonstrating the validity of the presented technique to monitor HR using wearable devices which use PPG signals.

CARMA: A Robust Motion Artifact Reduction Algorithm for Heart Rate Monitoring from PPG Signals / Bacà, Alessandro; Biagetti, Giorgio; Camilletti, Marta; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Rossini, Luca; Tonelli, Dario; Turchetti, Claudio. - ELETTRONICO. - (2015), pp. 2696-2700. (Intervento presentato al convegno 23rd European Signal Processing Conference (EUSIPCO 2015) tenutosi a Nizza, Francia nel 31 Agosto - 4 Settembre 2015) [10.1109/EUSIPCO.2015.7362864].

CARMA: A Robust Motion Artifact Reduction Algorithm for Heart Rate Monitoring from PPG Signals

BIAGETTI, Giorgio;CRIPPA, Paolo;FALASCHETTI, LAURA;ORCIONI, Simone;ROSSINI, LUCA;TONELLI, DARIO;TURCHETTI, Claudio
2015-01-01

Abstract

Photoplethysmography (PPG) is a non invasive measurement of the blood flow, that can be used instead of electrocardiography to estimate heart rate (HR). Most existing techniques used for HR monitoring in fitness with PPG focus on slowly running alone, while those suitable for intensive physical exercise need an initialization stage in which wearers are required to stand still for several seconds. This paper present a novel algorithm for HR estimation from PPG signal based on motion artifact removal (MAR) and adaptive tracking (AT) that overcomes limitations of the previous techniques. Experimental evaluations performed on datasets recorded from several subjects during running show an average absolute error of HR estimation of 2.26 beats per minute, demonstrating the validity of the presented technique to monitor HR using wearable devices which use PPG signals.
2015
978-0-9928626-4-0
978-0-9928626-3-3
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/227752
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 28
  • ???jsp.display-item.citation.isi??? 18
social impact