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Identification of footstrike pattern using accelerometry and machine learning.
Journal of biomechanics
Aug 2, 2024
Recent reports have suggested that there may be a relationship between footstrike pattern and overuse injury incidence and type. With the recent increase in wearable sensors, it is important to identify paradigms where the footstrike pattern can be d...
Deciphering Optimal Radar Ensemble for Advancing Sleep Posture Prediction through Multiview Convolutional Neural Network (MVCNN) Approach Using Spatial Radio Echo Map (SREM).
Sensors (Basel, Switzerland)
Aug 2, 2024
Assessing sleep posture, a critical component in sleep tests, is crucial for understanding an individual's sleep quality and identifying potential sleep disorders. However, monitoring sleep posture has traditionally posed significant challenges due t...
Identifying sex from pharyngeal images using deep learning algorithm.
Scientific reports
Aug 2, 2024
The pharynx is one of the few areas in the body where blood vessels and immune tissues can readily be observed from outside the body non-invasively. Although prior studies have found that sex could be identified from retinal images using artificial i...
The Role of Artificial Intelligence in Predicting Optic Neuritis Subtypes From Ocular Fundus Photographs.
Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society
Aug 1, 2024
BACKGROUND: Optic neuritis (ON) is a complex clinical syndrome that has diverse etiologies and treatments based on its subtypes. Notably, ON associated with multiple sclerosis (MS ON) has a good prognosis for recovery irrespective of treatment, where...
Using Advanced Convolutional Neural Network Approaches to Reveal Patient Age, Gender, and Weight Based on Tongue Images.
BioMed research international
Aug 1, 2024
The human tongue has been long believed to be a window to provide important insights into a patient's health in medicine. The present study introduced a novel approach to predict patient age, gender, and weight inferences based on tongue images using...
Evaluating performance of a near-infrared-spectroscopy-based and machine-learning-powered bio-optical sensitivity parameters in identifying intracranial hemorrhages in TBI across different age-groups.
Brain injury
Jul 31, 2024
PRIMARY OBJECTIVE: To evaluate the accuracy of an innovative machine-learning-powered near-infrared spectroscopy (mNIRS)-based bio-optical sensitivity parameters, namely specific tissue optical index (STOI) and intracranial tissue optical index (ITOI...
Humans
Double-Blind Method
Cross-Sectional Studies
Intracranial Hemorrhages
Aged, 80 and over
Male
Young Adult
Middle Aged
Child
Adult
Machine Learning
Adolescent
Spectroscopy, Near-Infrared
Age Factors
Sensitivity and Specificity
Prospective Studies
Brain Injuries, Traumatic
Child, Preschool
Female
Aged
Improving treatment completion for young adults with substance use disorder: Machine learning-based prediction algorithms.
Journal of psychiatric research
Jul 31, 2024
Substance use disorder (SUD) treatment completion was intertwined with various factors. However, few studies have explored the intersections of psychosocial and system-related factors with SUD treatment completion, particularly for individuals receiv...
Peer or tutor? The congruity effects of service robot role and service type on usage intention.
Acta psychologica
Jul 31, 2024
The invention of service robots has reduced the labor cost and improved enterprises' efficiency and service quality. However, it is still difficult to enhance consumers' intention to use robot-by-robot design efficiently. Based on social roles of ant...
Toward calibration-free motor imagery brain-computer interfaces: a VGG-based convolutional neural network and WGAN approach.
Journal of neural engineering
Jul 31, 2024
Motor imagery (MI) represents one major paradigm of Brain-computer interfaces (BCIs) in which users rely on their electroencephalogram (EEG) signals to control the movement of objects. However, due to the inter-subject variability, MI BCIs require re...
Characterizing the Effects of Adding Virtual and Augmented Reality in Robot-Assisted Training.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jul 31, 2024
Extended reality (XR) technology combines physical reality with computer synthetic virtuality to deliver immersive experience to users. Virtual reality (VR) and augmented reality (AR) are two subdomains within XR with different immersion levels. Both...
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