Preprint
Wearable EEG via lossless compression
Fecha
2016Registro en:
Dufort, G., Favaro, F., Lecumberry, F., y otros. Wearable EEG via lossless compression [Preprint] Publicado en : IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society. Orlando, Florida, 16-20 aug., 2016. DOI: 10.1109/EMBC.2016.7591116
Autor
Dufort, Guillermo
Favaro, Federico
Lecumberry, Federico
Martín, Álvaro
Oliver, Juan Pablo
Oreggioni, Julián
Ramírez, Ignacio
Seroussi, Gadiel
Steinfeld, Leonardo
Institución
Resumen
This work presents a wearable multi-channel EEG recording system featuring a lossless compression algorithm. The algorithm, based in a previously reported algorithm by the authors, exploits the existing temporal correlation between samples at different sampling times, and the spatial correlation between different electrodes across the scalp. The low-power platform is able to compress, by a factor between 2.3 and 3.6, up to 300sps from 64 channels with a power consumption of 176μW/ch. The performance of the algorithm compares favorably with the best compression rates reported up to date in the literature.