October 2022 | e-Prevention

Smartwatch digital phenotypes predict positive and negative symptom variation in a longitudinal monitoring study of patients with psychotic disorders

E. Kalisperakis, T. Karantinos, M. Lazaridi, V. Garyfalli, P.P. Filntisis, A. Zlatintsi, N. Efthymiou, A. Mantas, L. Mantonakis, T. Mougiakos, I. Maglogiannis, P. Tsanakas, P. Maragos andN. Smyrnis, Smartwatch digital phenotypes predict positive and negative symptom variation in a longitudinal monitoring study of patients with psychotic disorders, submitted in Frontiers in Psychiatry, 2022.

Relapse Prediction from long-term Wearable Data using Self-Supervised Learning and Survival-Analysis

E. Fekas, A. Zlatintsi and P. Maragos, “Relapse Prediction from long–term Wearable Data using Self-Supervised Learning and Survival-Analysis”, submitted to ICASSP-2023

Employing Digital Phenotype Identification for the Discovery of Psychotic Relapses

N. Efthymiou, G. Retsinas, P. P. Filntisis, A. Zlatintsi, C. Garoufis, E. Kalisperakis, T. Karantinos, V. Garyfalli, M. Lazaridi, N. Smyrnis and P. Maragos, Employing Digital Phenotype Identification for the Discovery of Psychotic Relapses, submitted to ICASSP-2023

e-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analysing Long-Term Multimodal Data from Wearables and Video Captures

A. Zlatintsi, P. P. Filntisis, C. Garoufis, N. Efthymiou, P. Maragos, A. Manychtas, I. Maglogiannis, P. Tsanakas, T. Sounapoglou, E. Kalisperakis, T. Karantinos, M. Lazaridi, V. Garyfali, A. Mantas, L. Mantonakis, and N. Smyrnis, “e-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analysing Long-Term Multimodal Data from Wearables and … Read more

A Comparative Study of Autoencoder Architectures for Mental Health Analysis using Wearable Sensors Data

M. Panagiotou, A. Zlatintsi, P. P. Filntisis, A. J. Roumeliotis, N. Efthymiou, P. Maragos, “A Comparative Study of Autoencoder Architectures for Mental Health Analysis using Wearable Sensors Data”, EUSIPCO–22, Beligrade, Serbia, 2022. Download

Towards Unsupervised Subject-Independent Speech-Based Relapse Detextion in Patients with Psychosis using Variational Autoencoders

C. Garoufis, A. Zlatintsi, P. P. Filntisis, N. Efthymiou, E. Kalisperakis, T. Karantinos, V. Garyfalli, M. Lazaridi, N. Smyrnis and P. Maragos, “Towards Unsupervised Subject-Independent Speech-Based Relapse Detextion in Patients with Psychosis using Variational Autoencoders”, EUSIPCO–22, Beligrade, Serbia, 2022. Download

Can a smartwatch help cognitive neuroscience? the relation between physical activity and cognitive performance in healthy young adults

M. Lazaridi, T. Karantinos, P. P. Filntisis, E. Kalisperakis, A. Zlatintsi, N. Efthymiou, A. Mantas, P. Maragos and N. Smyrnis , “Can a smartwatch help cognitive neuroscience? the relation between physical activity and cognitive performance in healthy young adults”, SfN Global Connectome, Society for Neuroscience, E-poster, 2021.

Smartwatch digital phenotypes relate to positive and negative psychotic symptom variation in a longitudinal monitoring study (e-Prevention) of patients with psychosis

E. Kalisperakis, T. Karantinos, P. P. Filntisis, M. Lazaridi, A. Zlatintsi, N. Efthymiou, A. Mantas, L. Mantonakis, V. Garyfalli, P. Tsanakas, P. Maragos and N. Smyrnis, “Smartwatch digital phenotypes relate to positive and negative psychotic symptom variation in a longitudinal monitoring study (e-Prevention) of patients with psychosis”, Neuroscience 2021 50th annual meeting (SfN), Poster, 2021.

e-Prevention action

NTUA presented the project in undergraduate and graduate programmes of the School of Electrical and Computer Engineering, National Technical University of Athens and Dept of Digital Systems in the University of Piraeus

Final e-Prevention workshop

Tuesday 01/11/2022 online via the Webex platform The final e-Prevention project Workshop will be held on Tuesday 01/11/2022 online via the Webex platform. The workshop will include presentations with the e-Prevention project results and conclusions from members of the project’s teams as well as a presentation from an external invited speaker.