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Found 6 papers, 1 papers with code
H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses
Discovering human cognitive and emotional states using multi-modal physiological signals draws attention across various research applications.
Early ICU Mortality Prediction and Survival Analysis for Respiratory Failure
Respiratory failure is the one of major causes of death in critical care unit.
Mixed-Integer Optimization Approach to Learning Association Rules for Unplanned ICU Transfer
After admission to emergency department (ED), patients with critical illnesses are transferred to intensive care unit (ICU) due to unexpected clinical deterioration occurrence.
Self-Expressive Subspace Clustering to Recognize Motion Dynamics of a Multi-Joint Coordination for Chronic Ankle Instability
Ankle sprains and instability are major public health concerns.
A Network-based Multimodal Data Fusion Approach for Characterizing Dynamic Multimodal Physiological Patterns
Characterizing the dynamic interactive patterns of complex systems helps gain in-depth understanding of how components interrelate with each other while performing certain functions as a whole.
Facial Expression and Peripheral Physiology Fusion to Decode Individualized Affective Experience
In this paper, we present a multimodal approach to simultaneously analyze facial movements and several peripheral physiological signals to decode individualized affective experiences under positive and negative emotional contexts, while considering their personalized resting dynamics.
