This paper presents an algorithm able to estimate heartbeat parameters, based on a QRS complex detection. The proposed algorithm demonstrates to be able to recognize heartbeat parameters even in highly noisy situations, i.e. where the ECG signal is extremely disturbed. Furthermore the algorithm was tested on real ECG signals generated by a so called Wearable Unit, a complex bio-signals sensor being developed by STMicroelectronics within the Bravehealth ICT FP7 EU funded project.
An electrocardiogram (ECG) signal processing algorithm for heart parameters estimation based on qrs complex detection / Piazzo, Lorenzo; F. D., Priscoli; DELLI PRISCOLI, Francesco; Oddi, Guido; Macone, Donato; Mignanti, Silvano. - STAMPA. - (2013), pp. 249-252. (Intervento presentato al convegno International Conference on Biomedical Electronics and Devices, BIODEVICES 2013 tenutosi a Barcelona; Spain nel 11 February 2013 through 14 February 2013) [10.5220/0004209602490252].
An electrocardiogram (ECG) signal processing algorithm for heart parameters estimation based on qrs complex detection
PIAZZO, Lorenzo;DELLI PRISCOLI, Francesco;ODDI, GUIDO;MACONE, Donato;MIGNANTI, SILVANO
2013
Abstract
This paper presents an algorithm able to estimate heartbeat parameters, based on a QRS complex detection. The proposed algorithm demonstrates to be able to recognize heartbeat parameters even in highly noisy situations, i.e. where the ECG signal is extremely disturbed. Furthermore the algorithm was tested on real ECG signals generated by a so called Wearable Unit, a complex bio-signals sensor being developed by STMicroelectronics within the Bravehealth ICT FP7 EU funded project.| File | Dimensione | Formato | |
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