The research work presented in this paper focuses on a novel near-lossless compression algorithm which can be efficiently used for compression of electroencephalograph (EEG) signals. In particular, our proposed scheme aims to achieve a very low complexity solution suitable for wearable EEG monitoring systems. The algorithm is mostly based on a simple and efficient encoding scheme which can be easily implemented even in resources constrained microcontrollers. Despite its simplicity, comparison results provided for several real-world datasets, show that the proposed algorithm achieves compression ratios comparable with more complex state-of-the-art solutions.

A Simple and Efficient Near-lossless Compression Algorithm for Multichannel EEG Systems

Campobello G.
;
Gugliandolo G.;Donato N.
2021-01-01

Abstract

The research work presented in this paper focuses on a novel near-lossless compression algorithm which can be efficiently used for compression of electroencephalograph (EEG) signals. In particular, our proposed scheme aims to achieve a very low complexity solution suitable for wearable EEG monitoring systems. The algorithm is mostly based on a simple and efficient encoding scheme which can be easily implemented even in resources constrained microcontrollers. Despite its simplicity, comparison results provided for several real-world datasets, show that the proposed algorithm achieves compression ratios comparable with more complex state-of-the-art solutions.
2021
978-9-0827-9706-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3220798
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