Ádám Nagy, József Dombi, Martin Patrik Fülep, Emese Rudics, Emőke Adrienn Hompoth, Zoltán Szabó, András Dér, András Búzás, Zsolt János Viharos, Anh Tuan Hoang, Bálint Maczák, Gergely Vadai, Zoltán Gingl, Szandra László, Vilmos Bilicki, István Szendi
(1) Background and Goal: Several studies have investigated the association of sleep, diurnal patterns, and circadian rhythms with the presence and with the risk states of mental illnesses such as schizophrenia and bipolar disorder. The goal of our study was to examine actigraphic measures to identify features that can be extracted from them so that a machine learning model can detect premorbid latent liabilities for schizotypy and bipolarity. (2) Methods: Our team developed a small wrist-worn measurement device that collects and identifies actigraphic data based on an accelerometer...
January 14, 2023: Sensors