AIMC Topic: Monitoring, Physiologic

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Adaptive Multi-Modal Fusion Framework for Activity Monitoring of People With Mobility Disability.

IEEE journal of biomedical and health informatics
The development of activity recognition based on multi-modal data makes it possible to reduce human intervention in the process of monitoring. This paper proposes an efficient and cost-effective multi-modal sensing framework for activity monitoring, ...

: Intelligent Wireless System for Cost-Effective Rapid Condition Assessment of Bridges under Impacts.

Sensors (Basel, Switzerland)
Bridge strikes by over-height vehicles or ships are critical sudden events. Due to their unpredictable nature, many events go unnoticed or unreported, but they can induce structural failures or hidden damage that accelerates the bridge's long-term de...

Deep Learning-Based Non-Intrusive Commercial Load Monitoring.

Sensors (Basel, Switzerland)
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, Mining, and Collaborative Clustering to Identify Flexible Daily Activities Patterns.

Sensors (Basel, Switzerland)
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...

A review of ultrasonic sensing and machine learning methods to monitor industrial processes.

Ultrasonics
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...

A Deep-Learning-Assisted On-Mask Sensor Network for Adaptive Respiratory Monitoring.

Advanced materials (Deerfield Beach, Fla.)
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...

Fuzzy-Logic-Based Recommendation System for Processing in Condition Monitoring.

Sensors (Basel, Switzerland)
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...

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)
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...

Intelligent monitoring of noxious stimulation during anaesthesia based on heart rate variability analysis.

Computers in biology and medicine
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...

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
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...