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Classification of functional and non-functional arm use by inertial measurement units in individuals with upper limb impairment after stroke
Conclusion: This work compares the validity of methods classifying stroke survivors’ real-life arm activities measured by wrist-worn sensors excluding whole-body movements. The determined optimal thresholds and machine learning classifiers achieved an equivalent accuracy and higher specificity than conventional thresholds. Our open-sourced classifier or optimal thresholds should be used to specify the intensity and duration of arm use.
Source: Frontiers in Physiology - September 28, 2022 Category: Physiology Source Type: research

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

Effects of Neurotrophic Factors in Glial Cells in the Central Nervous System: Expression and Properties in Neurodegeneration and Injury
Conclusion and Future Aspects This review summarizes available NTF expression data, compiles existing evidence on the effects of glial NTF signaling in healthy conditions and in disease models (Figure 1), and highlights the importance of this topic for future studies. The relationship between NTFs and glia is crucial for both the developing and adult brain. While some of these factors, such as NT-3 and CNTF, have highly potent effects on gliogenesis, others like BDNF and GDNF, are important for glia-mediated synapse formation. Neurotrophic factors play significant roles during neurodegenerative disorders. In many cases, ...
Source: Frontiers in Physiology - April 25, 2019 Category: Physiology Source Type: research

Glutamate Transport and Preterm Brain Injury
Silvia Pregnolato1*, Elavazhagan Chakkarapani1, Anthony R. Isles2 and Karen Luyt1 1Department of Neonatal Neurology, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom 2Behavioural Genetics Group, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, United Kingdom Preterm birth complications are the leading cause of child death worldwide and a top global health priority. Among the survivors, the risk of life-long disabilities is high, including cerebral palsy and impairment of movement, cognition, and beh...
Source: Frontiers in Physiology - April 23, 2019 Category: Physiology Source Type: research

Benefits of Motor Imagery for Human Space Flight: A Brief Review of Current Knowledge and Future Applications
Conclusion: How to Implement MI Into the Preparation and Mission of the Astronauts Motor imagery should ideally be performed before, during, and after exposure to microgravity to prepare for the lack of gravity, counteract the effects of weightlessness and promote the re-adaptation to normogravity. A quite similar theoretical viewpoint had been nicely proposed by Bock et al. (2015), who more specifically focused on the preparation period few days before landing. These authors developed two phases of individual MI training program to reach an optimal level of preparation before exposure to microgravity. In the first phase,...
Source: Frontiers in Physiology - April 10, 2019 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

Prediction of Cardiac Mechanical Performance From Electrical Features During Ventricular Tachyarrhythmia Simulation Using Machine Learning Algorithms
In this study, we predicted cardiac mechanical performance from features of electrical instability during ventricular tachyarrhythmia simulation using machine learning algorithms, including support vector regression (SVR) and artificial neural network (ANN) models. We performed an electromechanical tachyarrhythmia simulation and extracted 12 electrical instability features and two mechanical properties, including stroke volume and the amplitude of myocardial tension (ampTens). We compared predictive performance according to kernel types of the SVR model and the number of hidden layers of the ANN model. In the SVR model, th...
Source: Frontiers in Physiology - November 24, 2020 Category: Physiology Source Type: research

Multimodal Optical Diagnostics of the Microhaemodynamics in Upper and Lower Limbs
Conclusion The use of optical non-invasive diagnostic methods has a great potential for the detection of concomitant microcirculation disorders in patients with rheumatic diseases and diabetes. In this review, it was shown that the use of laser Doppler flowmetry, optical tissue oximetry and fluorescence spectroscopy together or separately may have important diagnostic value for the detection of violations, assessment of their severity, as well as for the analysis of the effectiveness of the therapy. The joint application of the considered technologies with the methods of machine learning (discriminant analysis) can be use...
Source: Frontiers in Physiology - April 15, 2019 Category: Physiology Source Type: research

Visualizing and Quantifying Irregular Heart Rate Irregularities to Identify Atrial Fibrillation Events
ConclusionVisualizing and quantifying irregular irregularities will be of value for both rapid visual inspection of long Holter recordings for the presence and the burden of AF, and for machine learning classification to identify AF episodes. A free online tool for calculating the indices, drawing RGGs and estimating AF burden, is available.
Source: Frontiers in Physiology - February 18, 2021 Category: Physiology Source Type: research

Fast Hand Movements Unveil Multifractal Roots of Adaptation in the Visuomotor Cognitive System
Beyond apparent simplicity, visuomotor dexterity actually requires the coordination of multiple interactions across a complex system that links the brain, the body and the environment. Recent research suggests that a better understanding of how perceptive, cognitive and motor activities cohere to form executive control could be gained from multifractal formalisms applied to movement behavior. Rather than a central executive “talking” to encapsuled components, the multifractal intuition suggests that eye-hand coordination arises from multiplicative cascade dynamics across temporal scales of activity within the whole sys...
Source: Frontiers in Physiology - July 20, 2021 Category: Physiology Source Type: research

Detection of Brief Episodes of Atrial Fibrillation Based on Electrocardiomatrix and Convolutional Neural Network
Conclusions: Rhythm and morphological characteristics of the electrocardiogram can be learned by a CNN from ECM-images for the detection of brief episodes of AF.
Source: Frontiers in Physiology - August 25, 2021 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

Using Wearable Inertial Sensors to Estimate Clinical Scores of Upper Limb Movement Quality in Stroke
Neurorehabilitation is progressively shifting from purely in-clinic treatment to therapy that is provided in both clinical and home-based settings. This transition generates a pressing need for assessments that can be performed across the entire continuum of care, a need that might be accommodated by application of wearable sensors. A first step toward ubiquitous assessments is to augment validated and well-understood standard clinical tests. This route has been pursued for the assessment of motor functioning, which in clinical research and practice is observation-based and requires specially trained personnel. In our stud...
Source: Frontiers in Physiology - May 3, 2022 Category: Physiology Source Type: research