Among the bio-signals, the ECG is the most important waveform used for health analysis. It provides information about the heart rate, rhythm, and morphology of heart. Today, thanks to the development of advanced wearable devices, it is possible to track patient conditions outside hospital setting for several days. In such a context, the low power consumption becomes one of the crucial challenges in the development of wearable systems. In this paper, a low power implementation of Pan and Tompkins algorithm for QRS extraction is proposed. Results show that an appropriate hardware implementation significantly reduces the DSP portion power consumption of the algorithm compared with other implementation proposed in literature.
Silvestri, F., Acciarito, S., Cardarilli, G.c., Khanal, G.m., Di Nunzio, L., Fazzolari, R., et al. (2019). FPGA implementation of a low-power QRS extractor. In Lecture Notes in Electrical Engineering (pp.9-15). Springer Verlag [10.1007/978-3-319-93082-4_2].
FPGA implementation of a low-power QRS extractor
Silvestri F.;Acciarito S.;Cardarilli G. C.;Di Nunzio L.;Fazzolari R.;Re M.
2019-01-01
Abstract
Among the bio-signals, the ECG is the most important waveform used for health analysis. It provides information about the heart rate, rhythm, and morphology of heart. Today, thanks to the development of advanced wearable devices, it is possible to track patient conditions outside hospital setting for several days. In such a context, the low power consumption becomes one of the crucial challenges in the development of wearable systems. In this paper, a low power implementation of Pan and Tompkins algorithm for QRS extraction is proposed. Results show that an appropriate hardware implementation significantly reduces the DSP portion power consumption of the algorithm compared with other implementation proposed in literature.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
