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Concurrent validity of machine learning-classified functional upper extremity use from accelerometry in chronic stroke
Conclusion: Our machine learning approach provides a valid measure of functional UE use. The accuracy, validity, and small footprint of this machine learning approach makes it feasible for measurement of UE recovery in stroke rehabilitation trials.
Source: Frontiers in Physiology - March 22, 2023 Category: Physiology Source Type: research

Iron Metabolism and Brain Development in Premature Infants
Yafeng Wang1,2,3, Yanan Wu2, Tao Li1,2,3, Xiaoyang Wang2,4 and Changlian Zhu2,3* 1Department of Neonatology (NICU), Children’s Hospital Affiliated Zhengzhou University, Zhengzhou, China 2Henan Key Laboratory of Child Brain Injury, Institute of Neuroscience and Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China 3Department of Clinical Neuroscience, Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden 4Department of Physiology, Sahlgrenska Academy, Institute of Neuroscience and Physiology, University of Got...
Source: Frontiers in Physiology - April 24, 2019 Category: Physiology Source Type: research

Central Hypovolemia Detection During Environmental Stress —A Role for Artificial Intelligence?
The first step to exercise is preceded by the required assumption of the upright body position, which itself involves physical activity. The gravitational displacement of blood from the chest to the lower parts of the body elicits a fall in central blood volume (CBV), which corresponds to the fraction of thoracic blood volume directly available to the left ventricle. The reduction in CBV and stroke volume (SV) in response to postural stress, post-exercise, or to blood loss results in reduced left ventricular filling, which may manifest as orthostatic intolerance. When termination of exercise removes the leg muscle pump fun...
Source: Frontiers in Physiology - December 15, 2021 Category: Physiology Source Type: research