Characterization of Heart Rate Estimation Using Piezoelectric Plethysmography in Time- and Frequency-domain
Luisa De Palma, Marco Scarpetta, Maurizio Spadavecchia
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.
Topics & Concepts
HeartbeatPlethysmographTime domainComputer scienceFrequency domainSignal processingSIGNAL (programming language)Time–frequency analysisHeart rate variabilityAccelerometerData acquisitionHeart rateDigital signal processingComputer visionMedicineComputer hardwareCardiologyBlood pressureProgramming languageOperating systemComputer securityFilter (signal processing)RadiologyNon-Invasive Vital Sign MonitoringECG Monitoring and AnalysisHeart Rate Variability and Autonomic Control