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The 2nd e-Prevention challenge (https://robotics.ntua.gr/icassp2024-eprevention-spgc/) aims to stimulate innovative research on the prediction and identification of mental health relapses via the analysis and processing of the digital phenotype of patients in the psychotic spectrum. The challenge will offer participants access to long-term continuous recordings of raw biosignals captured from wearable sensors - namely accelerometers, gyroscopes and heart rate monitors embedded in a smartwatch as well as supplemental data such as sleep schedules, daily step count, and demographics.
Participants will be evaluated on their ability to use this data to extract digital phenotypes that can effectively quantify behavioral patterns and traits. This will be assessed across two distinct tasks: 1) Detection of non-psychotic relapses, and 2) Detection of psychotic relapses, both in patients within the psychotic spectrum.
The extensive data that will be used in this challenge have been sourced from the e-Prevention project (https://eprevention.gr/), an innovative integrated system for medical support that facilitates effective monitoring and relapse prevention in patients with mental disorders.
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