An Efficient Near-lossless Compression Algorithm for Multichannel EEG signals

In many biomedical measurement procedures, it is important to record a huge amount of data, to monitor the state of health of a subject. In such a context, electroencephalograph (EEG) data are one of the most demanding in terms of size and signal behavior. In this paper, we propose a near-lossless c...

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Veröffentlicht in:	2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) S. 1 - 6
Hauptverfasser:	Campobello, Giuseppe, Quercia, Angelica, Gugliandolo, Giovanni, Segreto, Antonino, Tatti, Elisa, Ghilardi, Maria Felice, Crupi, Giovanni, Quartarone, Angelo, Donato, Nicola
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 23.06.2021
Schlagworte:	biomedical signal processing Distortion Distortion measurement Electroencephalograph (EEG) Electroencephalography Memory management near-lossless compression Noise reduction Signal processing algorithms Singular Value Decomposition (SVD)
Online-Zugang:	Volltext
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