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Using Pupil Diameter for Psychological Resilience Assessment in Medical Students Based on SVM and SHAP Model.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Effectively assessing psychological resilience for medical students is vital for identifying at-risk individuals and developing tailored interventions. At present, few studies have combined physiological indexes of the human body and machine learning...
A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Seismocardiogram (SCG) signals are noninvasively obtained cardiomechanical signals containing important features for cardiovascular health monitoring. However, these signals are prone to contamination by motion noise, which can significantly impact a...
Hybrid Brain-Computer Interface Controlled Soft Robotic Glove for Stroke Rehabilitation.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Soft robotic glove controlled by a brain-computer interface (BCI) have demonstrated effectiveness in hand rehabilitation for stroke patients. Current systems rely on static visual representations for patients to perform motor imagination (MI) tasks, ...
A Deep Learning Approach for Fear Recognition on the Edge Based on Two-Dimensional Feature Maps.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Applying affective computing techniques to recognize fear and combining them with portable signal monitors makes it possible to create real-time detection systems that could act as bodyguards when users are in danger. With this aim, this paper presen...
GaitNet+ARL: A Deep Learning Algorithm for Interpretable Gait Analysis of Chronic Ankle Instability.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Chronic ankle instability (CAI) is a major public health concern and adversely affects people's mobility and quality of life. Traditional assessment methods are subjective and qualitative by means of clinician observation and patient self-reporting, ...
Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks.
IEEE journal of biomedical and health informatics
Jul 2, 2024
OBJECTIVE: wearable sensor technology has progressed significantly in the last decade, but its clinical usability for the assessment of obstructive sleep apnea (OSA) is limited by the lack of large and representative datasets simultaneously acquired ...
Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study.
Frontiers in public health
Jul 2, 2024
OBJECTIVES: The application of artificial intelligence (AI) in healthcare is an important public health issue. However, few studies have investigated the perceptions and attitudes of healthcare professionals toward its applications in nursing. This s...
Do all sedatives promote biological sleep electroencephalogram patterns? A machine learning framework to identify biological sleep promoting sedatives using electroencephalogram.
PloS one
Jul 2, 2024
BACKGROUND: Sedatives are commonly used to promote sleep in intensive care unit patients. However, it is not clear whether sedation-induced states are similar to the biological sleep. We explored if sedative-induced states resemble biological sleep u...
Predicting efficacy of antiseizure medication treatment with machine learning algorithms in North Indian population.
Epilepsy research
Jul 1, 2024
PURPOSE: This study aimed to develop a classifier using supervised machine learning to effectively assess the impact of clinical, demographical, and biochemical factors in accurately predicting the antiseizure medications (ASMs) treatment response in...
Machine learning methods in automated detection of CT enterography findings in Crohn's disease: A feasibility study.
Clinical imaging
Jul 1, 2024
PURPOSE: Qualitative findings in Crohn's disease (CD) can be challenging to reliably report and quantify. We evaluated machine learning methodologies to both standardize the detection of common qualitative findings of ileal CD and determine finding s...
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