Computer ScienceEngineeringMedicine

Bayesian Compressed Sensing for IoT: Application to EEG Recording

Itebeddine Ghorbel, Walma Gharbi, Lotfi Chaari, Amel Benazza

2019Advances in Predictive, Preventive and Personalised Medicine

DOI: 10.1007/978-3-030-11800-6_6

tlooto Summary

A model to perfom compressed sensing with connected objects where energy and communication constraints araise is proposed in a Bayesian framework and promising results demonstrate its potential in application to EEG signal recording from a connected MindWave device.

Abstract

Abstract is not available.

Citation format

GHORBEL, Itebeddine, et al. Bayesian compressed sensing for iot: Application to EEG recording. Advances in Predictive, Preventive and Personalised Medicine, 2019.