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A Lightweight Network with Domain Adaptation for Motor Imagery Recognition.
Entropy (Basel)
December 2024
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300384, China.
Brain-computer interfaces (BCI) are an effective tool for recognizing motor imagery and have been widely applied in the motor control and assistive operation domains. However, traditional intention-recognition methods face several challenges, such as prolonged training times and limited cross-subject adaptability, which restrict their practical application. This paper proposes an innovative method that combines a lightweight convolutional neural network (CNN) with domain adaptation.
View Article and Find Full Text PDFImaging Flow Cytometric Identification of Chromosomal Defects in Paediatric Acute Lymphoblastic Leukaemia.
Cells
January 2025
School of Biomedical Sciences, The University of Western Australia, Crawley, WA 6009, Australia.
Acute lymphoblastic leukaemia is the most common childhood malignancy that remains a leading cause of death in childhood. It may be characterised by multiple known recurrent genetic aberrations that inform prognosis, the most common being hyperdiploidy and t(12;21) . We aimed to assess the applicability of a new imaging flow cytometry methodology that incorporates cell morphology, immunophenotype, and fluorescence in situ hybridisation (FISH) to identify aneuploidy of chromosomes 4 and 21 and the translocation .
View Article and Find Full Text PDFThe Brain Activation of Two Motor Imagery Strategies in a Mental Rotation Task.
Brain Sci
December 2024
Department of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.
Motor imagery includes visual imagery and kinesthetic imagery, which are two strategies that exist for mental rotation and are currently widely studied. However, different mental rotation tests can lead to different strategic performances. There are also many research results where two different strategies appear simultaneously under the same task.
View Article and Find Full Text PDFThe effect of Guided imagery on perioperative anxiety in hospitalized adult patients: A systematic review of randomized controlled trials.
Surg Pract Sci
September 2024
Department of Nursing, School of Nursing and Midwifery, Urmia University of Medical Sciences, Urmia, Iran.
Objective: Guided imagery is a relaxation technique that uses mental visualization to help individuals relax and focus their minds. This systematic review examines the effect of guided imagery on perioperative anxiety in hospitalized adult patients. The aim is to provide a comprehensive analysis of the existing evidence on the efficacy of guided imagery as an intervention for reducing perioperative anxiety.
View Article and Find Full Text PDFMI-Mamba: A hybrid motor imagery electroencephalograph classification model with Mamba's global scanning.
Ann N Y Acad Sci
January 2025
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Deep learning has revolutionized electroencephalograph (EEG) decoding, with convolutional neural networks (CNNs) being a predominant tool. However, CNNs struggle with long-term dependencies in sequential EEG data. Models like long short-term memory and transformers improve performance but still face challenges of computational efficiency and long sequences.
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