Author: Filntisis, Panagiotis P.; Zlatintsi, Athanasia; Efthymiou, Niki; Kalisperakis, Emmanouil; Karantinos, Thomas; Lazaridi, Marina; Smyrnis, Nikolaos; Maragos, Petros
Title: Identifying differences in physical activity and autonomic function patterns between psychotic patients and controls over a long period of continuous monitoring using wearable sensors Cord-id: x32a4sp3 Document date: 2020_10_30
ID: x32a4sp3
Snippet: Digital phenotyping is a nascent multidisciplinary field that has the potential to revolutionize psychiatry and its clinical practice. In this paper, we present a rigorous statistical analysis of short-time features extracted from wearable data, during long-term continuous monitoring of patients with psychotic disorders and healthy control counterparts. Our novel analysis identifies features that fluctuate significantly between the two groups, and offers insights on several factors that differen
Document: Digital phenotyping is a nascent multidisciplinary field that has the potential to revolutionize psychiatry and its clinical practice. In this paper, we present a rigorous statistical analysis of short-time features extracted from wearable data, during long-term continuous monitoring of patients with psychotic disorders and healthy control counterparts. Our novel analysis identifies features that fluctuate significantly between the two groups, and offers insights on several factors that differentiate them, which could be leveraged in the future for relapse prevention and individualized assistance.
Search related documents:
Co phrase search for related documents- active treatment and long term study: 1, 2
- active treatment and low frequency: 1
Co phrase search for related documents, hyperlinks ordered by date