AIMC Topic: Monitoring, Physiologic

Clear Filters Showing 111 to 120 of 386 articles

Multi-Cat Monitoring System Based on Concept Drift Adaptive Machine Learning Architecture.

Sensors (Basel, Switzerland) Oct 31, 2023
In multi-cat households, monitoring individual cats' various behaviors is essential for diagnosing their health and ensuring their well-being. This study focuses on the defecation and urination activities of cats, and introduces an adaptive cat ident...
Neural Networks, Computer Support Vector Machine Monitoring, Physiologic Machine Learning Algorithms
View on PubMed DOI

Monitoring blood pressure and cardiac function without positioning via a deep learning-assisted strain sensor array.

Science advances Aug 11, 2023
Continuous and reliable monitoring of blood pressure and cardiac function is of great importance for diagnosing and preventing cardiovascular diseases. However, existing cardiovascular monitoring approaches are bulky and costly, limiting their wide a...
Heart Rate Monitoring, Physiologic Blood Pressure Deep Learning Wearable Electronic Devices
View on PubMed DOI

Deep Learning Model to Classify and Monitor Idiopathic Scoliosis in Adolescents Using a Single Smartphone Photograph.

JAMA network open Aug 1, 2023
IMPORTANCE: Adolescent idiopathic scoliosis (AIS) is the most common pediatric spinal disorder. Routine physical examinations by trained personnel are critical to diagnose severity and monitor curve progression in AIS. In the presence of concerning m...
Male Deep Learning Humans Female Scoliosis Mobile Applications Photography Monitoring, Physiologic Adolescent Smartphone
View on PubMed DOI

Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review.

Journal of medical Internet research Jul 19, 2023
BACKGROUND: Normal voice production depends on the synchronized cooperation of multiple physiological systems, which makes the voice sensitive to changes. Any systematic, neurological, and aerodigestive distortion is prone to affect voice production ...
Machine Learning Monitoring, Physiologic Humans
View on PubMed DOI

Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
A significant proportion of clinical physiologic monitoring alarms are false. This often leads to alarm fatigue in clinical personnel, inevitably compromising patient safety. To combat this issue, researchers have attempted to build Machine Learning ...
Heuristics Automation Monitoring, Physiologic Artifacts Supervised Machine Learning Vital Signs Humans
View on PubMed

Algorithms and Techniques for the Structural Health Monitoring of Bridges: Systematic Literature Review.

Sensors (Basel, Switzerland) Apr 24, 2023
Structural health monitoring (SHM) systems are used to analyze the health of infrastructures such as bridges, using data from various types of sensors. While SHM systems consist of various stages, feature extraction and pattern recognition steps are ...
Signal Processing, Computer-Assisted Neural Networks, Computer Machine Learning Algorithms Monitoring, Physiologic
View on PubMed DOI

Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review.

Computers in biology and medicine Mar 31, 2023
Performing prescribed physical exercises during home-based rehabilitation programs plays an important role in regaining muscle strength and improving balance for people with different physical disabilities. However, patients attending these programs ...
Vision, Ocular Skeleton Monitoring, Physiologic Humans Artificial Intelligence Exercise
View on PubMed DOI

Enhancing System Performance through Objective Feature Scoring of Multiple Persons' Breathing Using Non-Contact RF Approach.

Sensors (Basel, Switzerland) Jan 21, 2023
Breathing monitoring is an efficient way of human health sensing and predicting numerous diseases. Various contact and non-contact-based methods are discussed in the literature for breathing monitoring. Radio frequency (RF)-based breathing monitoring...
Respiration Radio Waves Algorithms Monitoring, Physiologic Machine Learning Humans
View on PubMed DOI

Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology.

Pediatric research Jan 2, 2023
With the development of Artificial Intelligence techniques, smart health monitoring is becoming more popular. In this study, we investigate the trend of wearable sensors being adopted and developed in neonatal cardiorespiratory monitoring. We perform...
Humans Artificial Intelligence Respiration Wearable Electronic Devices Infant, Newborn Monitoring, Physiologic Adult
View on PubMed DOI

An Unobtrusive Human Activity Recognition System Using Low Resolution Thermal Sensors, Machine and Deep Learning.

IEEE transactions on bio-medical engineering Dec 26, 2022
Given the aging population, healthcare systems need to be established to deal with health issues such as injurious falls. Wearable devices can be used to detect falls. However, most wearable devices are obtrusive, and patients generally do not like o...
Aged Human Activities Deep Learning Humans Wearable Electronic Devices Algorithms Monitoring, Physiologic
View on PubMed DOI
Popular Topics
Recent Journals