AIMC Topic: Monitoring, Physiologic
Clear Filters Showing 271 to 280 of 387 articles
Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device.
IEEE transactions on bio-medical engineering
Jan 24, 2018
OBJECTIVE: We present a novel machine learning model to accurately predict the blood-analog viscosity during support of a pathological circulation with a rotary ventricular assist device (VAD). The aim is the continuous monitoring of the hematocrit (...
Stroke Volume Recruitability during the Third Trimester of Pregnancy.
American journal of perinatology
Dec 26, 2017
OBJECTIVE: It is unknown whether the heart operates in the ascending or flat portion of the Starling curve during normal pregnancy. Pregnant women do not respond to the passive leg-raising maneuver secondary to mechanical obstruction of the inferior ...
Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot.
Journal of healthcare engineering
Nov 28, 2017
Mobile robotics is a potential solution to home behavior monitoring for the elderly. For a mobile robot in the real world, there are several types of uncertainties for its perceptions, such as the ambiguity between a target object and the surrounding...
A fuzzy logic-based warning system for patients classification.
Health informatics journal
Nov 6, 2017
Typically acute deterioration in sick people is preceded by subtle changes in the physiological parameters such as pulse and blood pressure. The Modified Early Warning Score is a scoring system developed to assist hospital staff in gauging these phys...
Neural Network Classifier for Automatic Detection of Invasive Versus Noninvasive Airway Management Technique Based on Respiratory Monitoring Parameters in a Pediatric Anesthesia.
Journal of medical systems
Aug 23, 2017
Children undergoing general anesthesia require airway monitoring by an anesthesia provider. The airway may be supported with noninvasive devices such as face mask or invasive devices such as a laryngeal mask airway or an endotracheal tube. The physio...
A machine-learning based analysis for the recognition of progressive central hypovolemia.
Physiological measurement
Aug 21, 2017
OBJECTIVE: Traditional patient monitoring during surgery includes heart rate (HR), blood pressure (BP) and peripheral oxygen saturation. However, their use as predictors for central hypovolemia is limited, which may lead to cerebral hypoperfusion. Th...
Monitoring stress with a wrist device using context.
Journal of biomedical informatics
Aug 10, 2017
Being able to detect stress as it occurs can greatly contribute to dealing with its negative health and economic consequences. However, detecting stress in real life with an unobtrusive wrist device is a challenging task. The objective of this study ...
Continuous detection of human fall using multimodal features from Kinect sensors in scalable environment.
Computer methods and programs in biomedicine
May 25, 2017
BACKGROUND AND OBJECTIVES: Automatic detection of human fall is a key problem in video surveillance and home monitoring. Existing methods using unimodal data (RGB / depth / skeleton) may suffer from the drawbacks of inadequate lighting condition or u...
Adaptive neuro-fuzzy inference system for breath phase detection and breath cycle segmentation.
Computer methods and programs in biomedicine
Apr 14, 2017
BACKGROUND: The monitoring of the respiratory rate is vital in several medical conditions, including sleep apnea because patients with sleep apnea exhibit an irregular respiratory rate compared with controls. Therefore, monitoring the respiratory rat...
Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine.
Computational and mathematical methods in medicine
Feb 19, 2017
Preterm birth (PTB) is the leading cause of perinatal mortality and long-term morbidity, which results in significant health and economic problems. The early detection of PTB has great significance for its prevention. The electrohysterogram (EHG) rel...
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