Diagnostic Accuracy of AI Tools for Estimating Gestational Age Based on Blind Ultrasound Scanning Background Accurate estimation of gestational age (GA) is the foundation of good prenatal care, typically achieved through ultrasound examinations. However, many low-resource areas lack sufficient ultrasound equipment, making accurate GA estimation cha...
Exploring the Relationship between Face-Specific Activity and Conscious Face Perception Introduction Face perception is a fundamental cognitive process that enables humans to effectively identify faces in the environment, thus facilitating better social interactions. Extensive research has identified a specific region in the ventral visual cortex o...
Smart Independent Component Analysis (SMART ICA): An Innovative Method for Extracting Accurate Brain Functional Networks Background Introduction In brain science research, Functional Networks (FNs) show great potential for understanding human brain function by exploring the integration and interaction relationships between different brain regions. ...
Study on Quantitative Expression and Treatment Response of Latent Disease Factors Underlying Psychopathological Dimensions Revealed by Unsupervised Machine Learning Research Background Heterogeneity and comorbidity are prevalent in psychiatric diagnoses, posing challenges for precise diagnosis and personalized treatment. For instance, Autism Spectr...
Background Introduction In the human visual system, the understanding and navigation of natural scenes are exceptionally outstanding in terms of both complexity and efficiency. This process requires the transformation of incoming sensory information into visual features ranging from low-level to high-level, such as edges, object parts, and objects ...
Automated Clinical Assessment of Abnormal Walking Movements in ABI Patients Through Image Extraction and Classification Systems Academic Background Walking disability is a common physical impairment following Acquired Brain Injury (ABI). ABI typically includes stroke and traumatic brain injury, with a global incidence of approximately 1.5 million c...
A Study Report on the Impact of Task Complexity on Digital Health Metrics Evaluation of Upper Limb Function Research Background In patients with neurological diseases such as multiple sclerosis (PWMS), the prevalent upper limb dysfunction significantly affects the completion of daily living activities, increasing dependence on caregivers. To enhanc...
The Impact of Exoskeleton Rehabilitation Robot Training on Balance and Lower Limb Function in Subacute Stroke Patients: A Preliminary, Randomized Controlled Trial Research Background and Purpose Stroke is a leading cause of death and disability worldwide. With the rapid development of stroke treatment technology, the mortality rate of stroke has si...
Robot-Assisted Assessment of Chronic Stroke Adults’ Ankle Proprioception Deficits and Related Brain Injury Academic Background Stroke is a common neurological disorder, often resulting in hemiplegia, which affects the patient’s balance and gait control. Proprioception refers to the self-perception of body posture and movement, provided by mechanore...
Background Introduction Stroke is one of the leading causes of death and disability worldwide, with the total number of stroke patients increasing globally due to population aging and urbanization. Although advances in treatment have reduced mortality rates, the number of survivors requiring rehabilitation has increased significantly. This is parti...