AIMC Topic: Monitoring, Ambulatory
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Improved Activity Recognition Combining Inertial Motion Sensors and Electroencephalogram Signals.
International journal of neural systems
Sep 11, 2020
Human activity recognition and neural activity analysis are the basis for human computational neureoethology research dealing with the simultaneous analysis of behavioral ethogram descriptions and neural activity measurements. Wireless electroencepha...
A Smart Service Platform for Cost Efficient Cardiac Health Monitoring.
International journal of environmental research and public health
Aug 30, 2020
AIM: In this study we have investigated the problem of cost effective wireless heart health monitoring from a service design perspective.
Machine Learning Models for Classifying Physical Activity in Free-Living Preschool Children.
Sensors (Basel, Switzerland)
Aug 5, 2020
Machine learning (ML) activity classification models trained on laboratory-based activity trials exhibit low accuracy under free-living conditions. Training new models on free-living accelerometer data, reducing the number of prediction windows compr...
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation.
Sensors (Basel, Switzerland)
Jun 26, 2020
Cardiovascular diseases (CVD) are often characterized by their multifactorial complexity. This makes remote monitoring and ambulatory cardiac rehabilitation (CR) therapy challenging. Current wearable multimodal devices enable remote monitoring. Machi...
Machine learning to quantify habitual physical activity in children with cerebral palsy.
Developmental medicine and child neurology
May 18, 2020
AIM: To investigate whether activity-monitors and machine learning models could provide accurate information about physical activity performed by children and adolescents with cerebral palsy (CP) who use mobility aids for ambulation.
Pedestrian Navigation Method Based on Machine Learning and Gait Feature Assistance.
Sensors (Basel, Switzerland)
Mar 10, 2020
In recent years, as the mechanical structure of humanoid robots increasingly resembles the human form, research on pedestrian navigation technology has become of great significance for the development of humanoid robot navigation systems. To solve th...
Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Mar 4, 2020
Nocturnal hypoglycemia is a serious complication of insulin-treated diabetes, which commonly goes undetected. Continuous glucose monitoring (CGM) devices have enabled prediction of impending nocturnal hypoglycemia, however, prior efforts have been li...
System Design for Emergency Alert Triggered by Falls Using Convolutional Neural Networks.
Journal of medical systems
Jan 6, 2020
The world population ageing is on the rise, which has led to an increase in the demand for medical care due to diseases and symptoms prevalent in health centers. One of the most prevalent symptoms prevalent in older adults is falls, which affect one-...
Stress among Portuguese Medical Students: the EuStress Solution.
Journal of medical systems
Jan 2, 2020
There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked to several negative outcomes concerning academic functioning, physical, and mental health. In this pa...
Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study.
Computational and mathematical methods in medicine
Dec 19, 2019
Machine learning, one of the core disciplines of artificial intelligence, is an approach whose main emphasis is analytical model building. In other words, machine learning enables an automaton to make its own decisions based on a previous training pr...
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