Person Identification and Relapse Detection From Continuous Recordings of Biosignals Challenge: Overview and Results-Reference-Cited by-同舟云学术

Person Identification and Relapse Detection From Continuous Recordings of Biosignals Challenge: Overview and Results

Published:2024 Issue: Volume:5 Page:641-651
ISSN:2644-1322
Container-title:IEEE Open Journal of Signal Processing
language:
Short-container-title:IEEE Open J. Signal Process.

Author:

Zlatintsi Athanasia¹^ORCID,Filntisis Panagiotis P.¹^ORCID,Efthymiou Niki¹^ORCID,Garoufis Christos¹^ORCID,Retsinas George¹^ORCID,Sounapoglou Thomas²^ORCID,Maglogiannis Ilias³^ORCID,Tsanakas Panayiotis¹^ORCID,Smyrnis Nikolaos⁴^ORCID,Maragos Petros¹^ORCID

Affiliation:

1. School of ECE, National Technical University of Athens, Athens, Greece

2. BLOCKACHAIN PC, Thessaloniki, Greece

3. Department of Digital Systems, University of Piraeus, Pireas, Greece

4. Laboratory of Cognitive Neuroscience and Sensorimotor Control, University Mental Health, Neurosciences and Precision Medicine Research Institute COSTAS STEFANIS, Athens, Greece

Funder

European Regional Development Fund of the European Union and Greek national funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782710/10376377/10470363.pdf?arnumber=10470363

Reference50 articles.

1. E-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analyzing Long-Term Multimodal Data from Wearables and Video Captures

2. Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection

3. DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

4. DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

5. A practical approach for recognizing eating moments with wrist-mounted inertial sensing

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 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

2. Editorial: Special Issue on the ICASSP 2023 Signal Processing Grand Challenges;IEEE Open Journal of Signal Processing;2024