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Exoskeleton Robot Training in Two Patients with an Electrical Burn and Septic Arthritis: A Case Report.
J Burn Care Res
January 2025
Department of Rehabilitation Medicine, Hangang Sacred Heart Hospital, College of Medicine, Hallym University, Seoul, Korea.
Septic arthritis (SA) are rare in patients with burns, but delayed treatment can result in irreversible joint destruction. Early diagnosis and immediate treatment are necessary to prevent joint destruction. Robot training in patients with musculoskeletal diseases and burns, can improve joint range of motion (ROM), muscle strength, and lower extremity function.
View Article and Find Full Text PDFSex differences in atrial potential morphology.
Int J Cardiol Heart Vasc
February 2025
Dept. of Cardiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Background: Areas of conduction disorders play an important role in both initiation and perpetuation of AF and can be recognized by specific changes in unipolar potential morphology. For example, EGM fractionation may be caused by asynchronous activation of adjacent cardiomyocytes because of structural barriers such as fibrotic strands. However, it is unknown whether there are sex differences in unipolar potential morphology.
View Article and Find Full Text PDFBioethics Principles in Machine Learning-Healthcare Application Design: Achieving Health Justice and Health Equity.
Harv Public Health Rev (Camb)
August 2024
Washington State University, School of Electrical Engineering and Computer Science in Pullman.
Health technologies featuring artificial intelligence (AI) are becoming more common. Some healthcare AIs are exhibiting bias towards underrepresented persons and populations. Although many computer scientists and healthcare professionals agree that eliminating or mitigating bias in healthcare AIs is needed, little information exists regarding how to operationalize bioethics principles like autonomy in product design and implementation.
View Article and Find Full Text PDFEnergy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism.
Heliyon
January 2025
Department of Software Engineering, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Saudi Arabia.
The prediction of energy consumption in households is essential due to the reliance on electrical appliances for daily activities. Accurate assessment of energy demand is crucial for effective energy generation, preventing overloads and optimizing energy storage. Traditional techniques have limitations in accuracy and error rates, necessitating advancements in prediction techniques.
View Article and Find Full Text PDFMultisensory naturalistic decoding with high-density diffuse optical tomography.
Neurophotonics
January 2025
Washington University School of Medicine, Mallinckrodt Institute of Radiology, St. Louis, Missouri, United States.
Significance: Decoding naturalistic content from brain activity has important neuroscience and clinical implications. Information about visual scenes and intelligible speech has been decoded from cortical activity using functional magnetic resonance imaging (fMRI) and electrocorticography, but widespread applications are limited by the logistics of these technologies.
Aim: High-density diffuse optical tomography (HD-DOT) offers image quality approaching that of fMRI but with the silent, open scanning environment afforded by optical methods, thus opening the door to more naturalistic research and applications.
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