AIMC Topic: Monitoring, Ambulatory

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Automatic fall detection using region-based convolutional neural network.

International journal of injury control and safety promotion Sep 15, 2020
The common classifiers usually used to detect fall incidents depend on building and maintaining complex feature extraction for accurate machine learning tasks. However, these efforts have not succeeded in determining an ideal classifier or feature ex...
Monitoring, Ambulatory Machine Learning Accidental Falls Image Processing, Computer-Assisted Humans Neural Networks, Computer
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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...
Humans Machine Learning Adult Standing Position Sitting Position Electroencephalography Accelerometry Human Activities Walking Monitoring, Ambulatory
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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.
Monitoring, Physiologic Signal Processing, Computer-Assisted Atrial Fibrillation Heart Rate Humans Artificial Intelligence Reproducibility of Results Computer Communication Networks Efficiency, Organizational Monitoring, Ambulatory Information Systems
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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...
Exercise Child, Preschool Wrist Monitoring, Ambulatory Accelerometry Humans Machine Learning Aged
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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...
Support Vector Machine Remote Sensing Technology Monitoring, Ambulatory Cardiac Rehabilitation Male Middle Aged Wearable Electronic Devices Humans Female
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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.
Child Monitoring, Ambulatory Cerebral Palsy Accelerometry Habits Male Exercise Adolescent Humans Machine Learning Female
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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...
Humans Walking Monitoring, Ambulatory Reproducibility of Results Motion Gait Neural Networks, Computer Biomechanical Phenomena Wearable Electronic Devices Foot Pedestrians Acceleration Machine Learning Robotics Algorithms
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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...
Hypoglycemic Agents Insulin Humans Monitoring, Ambulatory Area Under Curve ROC Curve Hypoglycemia Machine Learning Diabetes Mellitus, Type 1 Models, Biological Blood Glucose Self-Monitoring Blood Glucose
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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-...
Remote Sensing Technology Activities of Daily Living Monitoring, Ambulatory Infrared Rays Neural Networks, Computer Humans Algorithms Accidental Falls
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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...
Heart Rate Sleep Young Adult Monitoring, Ambulatory Occupational Stress Adolescent Adult Body Temperature Mental Health Male Humans Wearable Electronic Devices Portugal Students, Medical Neural Networks, Computer Factor Analysis, Statistical Energy Intake Female Burnout, Professional
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