Evangelia Pippa

Data fusion for paroxysmal events’ classification from EEG

Evangelia Pippa, Evangelia I. Zacharaki, Michael Koutroumanidis, 2017, Journal of Neuroscience Methods.

Global vs local classification models for multi-sensor data fusion

Evangelia Pippa, Evangelia I. Zacharaki, Vasileios Megalooikonomou, 2018, SETN.

One-class classification of temporal EEG patterns for K-complex extraction

Evangelia Pippa, Evangelia I. Zacharaki, Vasileios Megalooikonomou, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Investigation of Sensor Placement for Accurate Fall Detection

Evangelia Pippa, Vasileios Megalooikonomou, Billur Barshan, 2016, MobiHealth.

Improving classification of epileptic and non-epileptic EEG events by feature selection

Evangelia Pippa, Michael Koutroumanidis, Vasileios Megalooikonomou, 2016, Neurocomputing.

Automatic estimation of the optimal AR order for epilepsy analysis using EEG signals

Evangelia Pippa, Vasileios Megalooikonomou, Iosif Mporas, 2015, 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE).

Feature Selection Evaluation for Light Human Motion Identification in Frailty Monitoring System

Evangelia Pippa, Vasileios Megalooikonomou, Iosif Mporas, 2016, ICT4AgeingWell.

EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition

Evangelia Pippa, Evangelia I. Zacharaki, Vasileios Megalooikonomou, 2016, Int. J. Monit. Surveillance Technol. Res..

Classification of epileptic and non-epileptic events using tensor decomposition

Evangelia Pippa, Evangelia I. Zacharaki, Vasileios Megalooikonomou, 2015, 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE).

Improving Human Motion Identification Using Motion Dependent Classification

Evangelia Pippa, Vasileios Megalooikonomou, Iosif Mporas, 2016, ICT4AgeingWell.

Classification of epileptic and non-epileptic EEG events

Evangelia Pippa, Evangelia I. Zacharaki, Vasileios Megalooikonomou, 2014, 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH).

Advancing active and healthy ageing with ICT : Early risk detection and intervention Start of project : 1 January 2016 Duration : 36 months Deliverable No : D 4 . 14 Signal processing algorithms for extraction of frailty related indicators

Evangelia Pippa, Dimitrios Vlachakis, Aimilia Papagiannaki, 2016 .