Identifying differences in physical activity and autonomic function patterns between psychotic patients and controls over a long period of continuous monitoring using wearable sensors

Panagiotis P. Filntisis; Athanasia Zlatintsi; Niki Efthymiou; Emmanouil Kalisperakis; Thomas Karantinos; Marina Lazaridi; Nikolaos Smyrnis; Petros Maragos

arXiv · 2011.02285

Identifying differences in physical activity and autonomic function patterns between psychotic patients and controls over a long period of continuous monitoring using wearable sensors

Panagiotis P. Filntisis·Athanasia Zlatintsi·Niki Efthymiou·Emmanouil Kalisperakis·Thomas Karantinos·Marina Lazaridi·Nikolaos Smyrnis·Petros Maragos

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Abstract

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.

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Panagiotis P. Filntisis, Athanasia Zlatintsi, Niki Efthymiou, Emmanouil Kalisperakis, Thomas Karantinos, Marina Lazaridi, Nikolaos Smyrnis, Petros Maragos. 2020-10-30. Identifying differences in physical activity and autonomic function patterns between psychotic patients and controls over a long period of continuous monitoring using wearable sensors. https://arxiv.org/abs/2011.02285

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