AIMC Topic: Oscillometry
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Combining Bootstrap Aggregation with Support Vector Regression for Small Blood Pressure Measurement.
Journal of medical systems
Feb 28, 2018
Blood pressure measurement based on oscillometry is one of the most popular techniques to check a health condition of individual subjects. This paper proposes a support vector using fusion estimator with a bootstrap technique for oscillometric blood ...
Deep learning ensemble with asymptotic techniques for oscillometric blood pressure estimation.
Computer methods and programs in biomedicine
Aug 8, 2017
BACKGROUND AND OBJECTIVE: This paper proposes a deep learning based ensemble regression estimator with asymptotic techniques, and offers a method that can decrease uncertainty for oscillometric blood pressure (BP) measurements using the bootstrap and...
Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network.
Scientific reports
Mar 24, 2017
Towards practical realization of brain-inspired computing in a scalable physical system, we investigate a network of coupled micromechanical oscillators. We numerically simulate this array of all-to-all coupled nonlinear oscillators in the presence o...
Gait-Event-Based Synchronization Method for Gait Rehabilitation Robots via a Bioinspired Adaptive Oscillator.
IEEE transactions on bio-medical engineering
Aug 30, 2016
In the field of gait rehabilitation robotics, achieving human-robot synchronization is very important. In this paper, a novel human-robot synchronization method using gait event information is proposed. This method includes two steps. First, seven ga...
Respiratory Artefact Removal in Forced Oscillation Measurements: A Machine Learning Approach.
IEEE transactions on bio-medical engineering
Apr 15, 2016
GOAL: Respiratory artefact removal for the forced oscillation technique can be treated as an anomaly detection problem. Manual removal is currently considered the gold standard, but this approach is laborious and subjective. Most existing automated t...
Swing Phase Control of Semi-Active Prosthetic Knee Using Neural Network Predictive Control With Particle Swarm Optimization.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jan 27, 2016
In recent years, intelligent prosthetic knees have been developed that enable amputees to walk as normally as possible when compared to healthy subjects. Although semi-active prosthetic knees utilizing magnetorheological (MR) dampers offer several ad...
Basin stability for burst synchronization in small-world networks of chaotic slow-fast oscillators.
Physical review. E, Statistical, nonlinear, and soft matter physics
Oct 6, 2015
The impact of connectivity and individual dynamics on the basin stability of the burst synchronization regime in small-world networks consisting of chaotic slow-fast oscillators is studied. It is shown that there are rewiring probabilities correspond...
Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data.
Journal of clinical monitoring and computing
Oct 5, 2015
Huge hospital information system databases can be mined for knowledge discovery and decision support, but artifact in stored non-invasive vital sign (VS) high-frequency data streams limits its use. We used machine-learning (ML) algorithms trained on ...
Oscillometry
Clinical Alarms
Machine Learning
Artifacts
Algorithms
Risk
Decision Support Systems, Clinical
Female
Vital Signs
Monitoring, Physiologic
Adult
Aged
Humans
Hospital Information Systems
Blood Pressure
Male
Data Interpretation, Statistical
Area Under Curve
Middle Aged
Data Mining
Heart Rate
Neuro-fuzzy classification of asthma and chronic obstructive pulmonary disease.
BMC medical informatics and decision making
Sep 11, 2015
BACKGROUND: This paper presents a system for classification of asthma and chronic obstructive pulmonary disease (COPD) based on fuzzy rules and the trained neural network.
Cuff-less Blood Pressure Measurement Based on Deep Convolutional Neural Network.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Cuff-less blood pressure (BP) monitoring is increasingly being needed for cardiovascular events management in clinical. Many of the existing methods, however, are based on manual feature extraction, which cannot characterize the complex relationship ...
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