AIMC Topic: Monitoring, Physiologic

Clear Filters Showing 151 to 160 of 386 articles

A novel artificial intelligence based intensive care unit monitoring system: using physiological waveforms to identify sepsis.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Oct 25, 2021
A massive amount of multimodal data are continuously collected in the intensive care unit (ICU) along each patient stay, offering a great opportunity for the development of smart monitoring devices based on artificial intelligence (AI). The two main ...
Critical Care Humans Artificial Intelligence Sepsis Monitoring, Physiologic Intensive Care Units
View on PubMed DOI

Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor.

Sensors (Basel, Switzerland) Oct 7, 2021
At present, people spend most of their time in passive rather than active mode. Sitting with computers for a long time may lead to unhealthy conditions like shoulder pain, numbness, headache, etc. To overcome this problem, human posture should be cha...
Algorithms Female Young Adult Humans Support Vector Machine Monitoring, Physiologic Male Bayes Theorem Smartphone Adult
View on PubMed DOI

Deep Learning Methods for Remote Heart Rate Measurement: A Review and Future Research Agenda.

Sensors (Basel, Switzerland) Sep 20, 2021
Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of the human body. While traditional HR monitors usually require contact with skin, remote photoplethysmography (rPPG) enables contactless HR monitoring by ...
Monitoring, Physiologic Signal Processing, Computer-Assisted Heart Rate Deep Learning Photoplethysmography Humans Algorithms
View on PubMed DOI

Improving the Event-Based Classification Accuracy in Pit-Drilling Operations: An Application by Neural Networks and Median Filtering of the Acceleration Input Signal Data.

Sensors (Basel, Switzerland) Sep 19, 2021
Forestry is a complex economic sector which is relying on resource and process monitoring data. Most of the forest operations such as planting and harvesting are supported by the use of tools and machines, and their monitoring has been traditionally ...
Signal Processing, Computer-Assisted Acceleration Neural Networks, Computer Monitoring, Physiologic
View on PubMed DOI

Preventing and Monitoring Work-Related Diseases in Firefighters: A Literature Review on Sensor-Based Systems and Future Perspectives in Robotic Devices.

International journal of environmental research and public health Sep 15, 2021
In recent years, the necessity to prevent work-related diseases has led to the use of sensor-based systems to measure important features during working activities. This topic achieved great popularity especially in hazardous and demanding activities ...
Humans Monitoring, Physiologic Movement Exoskeleton Device Robotics Firefighters
View on PubMed DOI

Deep learning enabled classification of real-time respiration signals acquired by MoSSe quantum dot-based flexible sensors.

Journal of materials chemistry. B Aug 16, 2021
Respiration rate is a vital parameter which is useful for the earlier identification of diseases. In this context, various types of devices have been fabricated and developed to monitor different breath rates. However, the disposability and biocompat...
Sulfur Breath Tests Materials Testing Biocompatible Materials Time Factors Humans Wearable Electronic Devices Deep Learning Monitoring, Physiologic Quantum Dots Particle Size Selenium Molybdenum
View on PubMed DOI

A Sensing System Based on Public Cloud to Monitor Indoor Environment of Historic Buildings.

Sensors (Basel, Switzerland) Aug 4, 2021
Monitoring the indoor environment of historic buildings helps to identify potential risks, provide guidelines for improving regular maintenance, and preserve cultural artifacts. However, most of the existing monitoring systems proposed for historic b...
Electrocardiography Monitoring, Physiologic Cloud Computing Artificial Intelligence
View on PubMed DOI

Dialysis adequacy predictions using a machine learning method.

Scientific reports Jul 29, 2021
Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis. However, there are inconveniences and disadvantages to measuring dialysis adequacy by blood samples. This study used machine learning models to predict dialys...
Multivariate Analysis Humans Software Blood Flow Velocity Female Blood Urea Nitrogen Middle Aged Aged Monitoring, Physiologic Deep Learning Male Linear Models Renal Dialysis
View on PubMed DOI

Artificial Intelligence-Enabled Caregiving Walking Stick Powered by Ultra-Low-Frequency Human Motion.

ACS nano Jul 26, 2021
The increasing population of the elderly and motion-impaired people brings a huge challenge to our social system. However, the walking stick as their essential tool has rarely been investigated into its potential capabilities beyond basic physical su...
Humans Artificial Intelligence Monitoring, Physiologic Motion Aged Internet of Things Canes
View on PubMed DOI

Cost-effectiveness of artificial intelligence monitoring for active tuberculosis treatment: A modeling study.

PloS one Jul 21, 2021
BACKGROUND: Tuberculosis (TB) incidence in Los Angeles County, California, USA (5.7 per 100,000) is significantly higher than the U.S. national average (2.9 per 100,000). Directly observed therapy (DOT) is the preferred strategy for active TB treatme...
Male Female Monitoring, Physiologic Cost-Benefit Analysis Tuberculosis Pilot Projects Aged Middle Aged California Adult Humans Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals