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.

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

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.

Skip to content