Predicting and Understanding Disorders of Consciousness of Sleep Patients Through Multimodal Data Fusion and Temporal Attention Mechanisms
This study introduces MTAMA-DoC (Multimodal Temporal Attention Multitask Analyzer for Disorders of Consciousness), a novel deep learning approach that leverages sleep-related physiological data to predict consciousness states in patients with Disorders of Consciousness (DoC). Employing a transformer...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10943168/ |
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