AIMC Topic: Monitoring, Physiologic

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Deep Learning-Based Non-Intrusive Commercial Load Monitoring.

Sensors (Basel, Switzerland) Jul 13, 2022
Commercial load is an essential demand-side resource. Monitoring commercial loads helps not only commercial customers understand their energy usage to improve energy efficiency but also helps electric utilities develop demand-side management strategi...
Deep Learning Monitoring, Physiologic Neural Networks, Computer
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Deep Learning, Mining, and Collaborative Clustering to Identify Flexible Daily Activities Patterns.

Sensors (Basel, Switzerland) Jun 25, 2022
The monitoring of the daily life activities routine is beneficial, especially in old age. It can provide relevant information on the person's health state and wellbeing and can help identify deviations that signal care deterioration or incidents that...
Cluster Analysis Monitoring, Physiologic Aged Deep Learning Activities of Daily Living Humans Algorithms
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A review of ultrasonic sensing and machine learning methods to monitor industrial processes.

Ultrasonics May 28, 2022
Supervised machine learning techniques are increasingly being combined with ultrasonic sensor measurements owing to their strong performance. These techniques also offer advantages over calibration procedures of more complex fitting, improved general...
Monitoring, Physiologic Ultrasonics Machine Learning Algorithms
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A Deep-Learning-Assisted On-Mask Sensor Network for Adaptive Respiratory Monitoring.

Advanced materials (Deerfield Beach, Fla.) May 16, 2022
Wearable respiratory monitoring is a fast, non-invasive, and convenient approach to provide early recognition of human health abnormalities like restrictive and obstructive lung diseases. Here, a computational fluid dynamics assisted on-mask sensor n...
Signal-To-Noise Ratio Respiratory Rate Monitoring, Physiologic Humans Respiration Deep Learning
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Fuzzy-Logic-Based Recommendation System for Processing in Condition Monitoring.

Sensors (Basel, Switzerland) May 12, 2022
The development of a machine's condition monitoring system is often a challenging task. This process requires the collection of a sufficiently large dataset on signals from machine operation, context information related to the operation conditions, a...
Monitoring, Physiologic Knowledge Algorithms Fuzzy Logic
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Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing.

Sensors (Basel, Switzerland) Mar 21, 2022
Water features (e.g., water quantity and water quality) are one of the most important environmental factors essential to improving climate-change resilience. Remote sensing (RS) technologies empowered by artificial intelligence (AI) have become one o...
Artificial Intelligence Computers Monitoring, Physiologic Remote Sensing Technology Water Quality
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Intelligent monitoring of noxious stimulation during anaesthesia based on heart rate variability analysis.

Computers in biology and medicine Mar 18, 2022
Research based on medical signals has received significant attention in recent years. If the patients' states can be accurately monitored based on medical signals, it greatly benefits both doctors and patients. This paper proposes a method to extract...
Humans Neural Networks, Computer Anesthesia Autonomic Nervous System Monitoring, Physiologic Heart Rate
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Advanced medical monitoring for the battlefield: A review on clinical applicability of compensatory reserve measurements for early and accurate hemorrhage detection.

The journal of trauma and acute care surgery Mar 8, 2022
Hemorrhagic shock remains the leading cause of mortality in civilian trauma and battlefield settings. The ability of combat medics and other military medical personnel to obtain early identification and assessment of a bleeding casualty is hampered b...
Monitoring, Physiologic Hemorrhage Resuscitation Shock, Hemorrhagic Humans Artificial Intelligence
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The Effects of Rso2 and PI Monitoring Images on the Treatment of Premature Infants Based on Deep Learning.

Computational and mathematical methods in medicine Feb 22, 2022
In recent years, due to the combined effects of individual behavior, psychological factors, environmental exposure, medical conditions, biological factors, etc., the incidence of preterm birth has gradually increased, so the incidence of various comp...
Monitoring, Physiologic Posture Deep Learning Computational Biology Infant, Premature Perfusion Index Oxygen Image Interpretation, Computer-Assisted Female Infant, Newborn Premature Birth Male Neural Networks, Computer Brain Humans
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Real-time data analysis in health monitoring systems: A comprehensive systematic literature review.

Journal of biomedical informatics Feb 20, 2022
Health monitoring systems (HMSs) capture physiological measurements through biosensors (sensing), obtain significant properties and measures from the output signal (perceiving), use algorithms for data analysis (reasoning), and trigger warnings or al...
Monitoring, Physiologic Data Mining Data Analysis Algorithms Machine Learning
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