From Digital Phenotype Identification To Detection Of Psychotic Relapses-Reference-Cited by-同舟云学术

From Digital Phenotype Identification To Detection Of Psychotic Relapses

Published:2023-06-26 Issue: Volume: Page:
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Container-title:2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)
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Author:

Efthymiou Niki¹,Retsinas George¹,Filntisis Panagiotis P.¹,Garoufis Christos¹,Zlatintsi Athanasia¹,Kalisperakis Emmanouil²,Garyfalli Vasiliki²,Karantinos Thomas²,Lazaridi Marina²,Smyrnis Nikolaos²,Maragos Petros¹

Affiliation:

1. NTUA,School of ECE,Athens,Greece

2. University Mental Health RI,Lab. of Cognitive Neuroscience,Athens,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10336927/10336922/10337232.pdf?arnumber=10337232

Reference21 articles.

1. A review of wearable sensors and systems with application in rehabilitation

2. The Use of Smartwatches for Health Monitoring in Home-Based Dementia Care

3. New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research

4. Sensing behavioral symptoms of mental health and delivering personalized interventions using mobile technologies

5. Prodromes and precursors: epidemiologic data for primary prevention of disorders with slow onset

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1. Unsupervised Relapse Detection Using Wearable-Based Digital Phenotyping for the 2nd E-Prevention Challenge;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

2. The 2nd E-Prevention Challenge: Psychotic and Non-Psychotic Relapse Detection Using Wearable-Based Digital Phenotyping;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

3. Augmenting Transformer Autoencoders with Phenotype Classification for Robust Detection of Psychotic Relapses;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Person Identification and Relapse Detection From Continuous Recordings of Biosignals Challenge: Overview and Results;IEEE Open Journal of Signal Processing;2024