The increasing need to monitor Heart Rate (HR) has led to the development of dedicated devices based on miniaturized sensors and to their consequent pervasiveness. In this paper the aim is to develop a DAQ based system supervised by a LabVIEW Virtual Instrument to estimate the HR by means of an accelerometric plethysmograph. Two different signal processing techniques have been developed to estimate the HR respectively in time- and frequency domain, to study and compare their performances and to monitor the patient's heartbeat at rest by identifying possible pathological conditions or diseases.
Characterization of Heart Rate Estimation Using Piezoelectric Plethysmography in Time- and Frequency-domain / De Palma, Luisa; Scarpetta, Marco; Spadavecchia, Maurizio. - ELETTRONICO. - (2020). (Intervento presentato al convegno 15th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2020 tenutosi a Bari, Italy nel 1 June-1 July 2020) [10.1109/MeMeA49120.2020.9137226].
Characterization of Heart Rate Estimation Using Piezoelectric Plethysmography in Time- and Frequency-domain
Luisa De Palma;Marco Scarpetta;Maurizio Spadavecchia
2020-01-01
Abstract
The increasing need to monitor Heart Rate (HR) has led to the development of dedicated devices based on miniaturized sensors and to their consequent pervasiveness. In this paper the aim is to develop a DAQ based system supervised by a LabVIEW Virtual Instrument to estimate the HR by means of an accelerometric plethysmograph. Two different signal processing techniques have been developed to estimate the HR respectively in time- and frequency domain, to study and compare their performances and to monitor the patient's heartbeat at rest by identifying possible pathological conditions or diseases.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
