EMG Archives - Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

April 12, 2018

A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series

Author(s)3: Stanislas Chambon, Mathieu N. Galtier, Pierrick J. Arnal, Gilles Wainrib, Alexandre Gramfort

A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series https://www.embs.org/tnsre/wp-content/uploads/sites/15/2018/04/A-Deep-Learning.png 780 364 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) //www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png April 12, 2018 March 4, 2022

Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30 s of…

April 21, 2017

Quantifying Nonlinear Contributions to Cortical Responses Evoked by Continuous Wrist Manipulation

Author(s)3: Martijn P. Vlaar, Teodoro Solis-Escalante, Alistair N. Vardy, Frans C. T. van der Helm, Alfred C. Schouten

Quantifying Nonlinear Contributions to Cortical Responses Evoked by Continuous Wrist Manipulation https://www.embs.org/tnsre/wp-content/uploads/sites/15/2017/04/07488222.jpg 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) //www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png April 21, 2017 March 4, 2022

Cortical responses to continuous stimuli as recorded using either magneto- or electroencephalography (EEG) have shown power at harmonics of the stimulated frequency, indicating nonlinear behavior. Even though the selection of…