TY  - CONF
Y1  - 2015///
UR  - http://doi.org/10.1109/EMBC.2015.7318376
A1  - Betta, Monica
A1  - Laurino, Marco
A1  - Gemignani, Angelo
A1  - Landi, Alberto
A1  - Menicucci, D.
PB  - IEEE
T2  - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
AV  - none
M2  - Milan, Italy
SN  - 1558-4615
EP  - 373
ID  - eprints3772
N2  - Rapid eye movements (REMs) are a peculiar and intriguing aspect of REM sleep, even if their physiological function still remains unclear. During this work, a new automatic tool was developed, aimed at a complete description of REMs activity during the night, both in terms of their timing of occurrence that in term of their directional properties. A classification stage of each singular movement detected during the night according to its main direction, was in fact added to our procedure of REMs detection and ocular artifact removal. A supervised classifier was constructed, using as training and validation set EOG data recorded during voluntary saccades of five healthy volunteers. Different classification methods were tested and compared. The further information about REMs directional characteristic provided by the procedure would represent a valuable tool for a deeper investigation into REMs physiological origin and functional meaning.
TI  - A Classification method for eye movements direction during REM sleep trained on wake electro-oculographic recordings
SP  - 370
ER  -