Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures
Goal: The network representation is becoming increasingly popular for the description of cardiovascular interactions based on the analysis of multiple simultaneously collected variables. However, the traditional methods to assess network…
read morePredicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods
Goal: To predict physician fixations specifically on ophthalmology optical coherence tomography (OCT) reports from eye tracking data using CNN based saliency prediction methods in order to aid in the education…
read moreEEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving
A significant issue for traffic safety has been drowsy driving for decades. A number of studies have investigated the effects of acute fatigue on spectral power; and recent research has…
read moreMFEM-CIN: A Lightweight Architecture Combining CNN and Transformer for the Classification of Pre-cancerous Lesions of the Cervix
Goal: Cervical cancer is one of the most common cancers in women worldwide, ranking among the top four. Unfortunately, it is also the fourth leading cause of cancer-related deaths among…
read moreFeedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task
Haptic interfaces and virtual reality (VR) technology have been increasingly introduced in rehabilitation, facilitating the provision of various feedback and task conditions. However, correspondence between the feedback/task conditions and movement…
read moreGaitmap—An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking
Goal: Gait analysis using inertial measurement units (IMUs) has emerged as a promising method for monitoring movement disorders. However, the lack of public data and easy-to-use open-source algorithms hinders method…
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