Compressed Sensing (CS) is an acquisition technique able to reduce the operating cost (e.g., energy requirements) of a signal processing system thanks to its capability of simultaneously sampling and compressing an input waveform. Here we focus on Electrocardiogram (ECG) signals acquired by means of a custom designed acquisition board that exploits CS as early-digital compression stage. We show that when CS acquisition sequences are sparse ternary, i.e., with symbols {-1, 0, +1} and designed to maximize their rakeness, it is possible to achieve a reduction in the energy required for ECG signal compression by a factor between 25 and 30 with respect to the standard acquisition with independent and identically distributed random sequences.
Sparse sensing matrix based compressed sensing in low-power ECG sensor nodes / Marchioni, A.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G.. - STAMPA. - 2018(2017), pp. 1-4. ((Intervento presentato al convegno 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 tenutosi a Torino (Italy) nel October 19-21, 2017 [10.1109/BIOCAS.2017.8325155].
Titolo: | Sparse sensing matrix based compressed sensing in low-power ECG sensor nodes | |
Autori: | ||
Data di pubblicazione: | 2017 | |
Abstract: | Compressed Sensing (CS) is an acquisition technique able to reduce the operating cost (e.g., ener...gy requirements) of a signal processing system thanks to its capability of simultaneously sampling and compressing an input waveform. Here we focus on Electrocardiogram (ECG) signals acquired by means of a custom designed acquisition board that exploits CS as early-digital compression stage. We show that when CS acquisition sequences are sparse ternary, i.e., with symbols {-1, 0, +1} and designed to maximize their rakeness, it is possible to achieve a reduction in the energy required for ECG signal compression by a factor between 25 and 30 with respect to the standard acquisition with independent and identically distributed random sequences. | |
ISBN: | 978-1-5090-5803-7 | |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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BioCAS2017-hw.pdf | Author version of the Paper | 2. Post-print / Author's Accepted Manuscript | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri |
http://hdl.handle.net/11583/2786599