Bumblebee Your Way to Recovery: Transforming The Approach to Detection of Mental Health Relapses

In this paper, we present our solution to ICASSP 2024, task GC-2: The 2nd e-Prevention challenge: Psychotic and Non-Psychotic Relapse Detection using Wearable-Based Digital Phenotyping [1], First Track - detection of non-psychotic relapses, containing mainly depression episodes. The submitted soluti...

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Veröffentlicht in:2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) S. 89 - 90
Hauptverfasser: Gorzynski, Kamil, Ples, Anna, Ryzhankow, Ivan, Zych, Bartlomiej
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 14.04.2024
Schlagworte:
Acoustics
anomaly detection
autoencoder
Conferences
Depression
Detectors
digital phenotyping
heart rate variability
Mental health
relapse detection
Signal processing
Signal processing algorithms
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Zusammenfassung:In this paper, we present our solution to ICASSP 2024, task GC-2: The 2nd e-Prevention challenge: Psychotic and Non-Psychotic Relapse Detection using Wearable-Based Digital Phenotyping [1], First Track - detection of non-psychotic relapses, containing mainly depression episodes. The submitted solution consists of an autoencoder and an outlier detector, trained on algorithmically processed night-time data. On the test set, we achieve an average between AUROC and AUPRC of 66.56%, placing us first in the challenge.
DOI:10.1109/ICASSPW62465.2024.10626747