AIMC Topic: Signal Processing, Computer-Assisted
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Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records.
Computer methods and programs in biomedicine
Sep 8, 2020
BACKGROUND AND OBJECTIVE: Cardiac arrhythmia, which is an abnormal heart rhythm, is a common clinical problem in cardiology. Detection of arrhythmia on an extended duration electrocardiogram (ECG) is done based on initial algorithmic software screeni...
A Smart Service Platform for Cost Efficient Cardiac Health Monitoring.
International journal of environmental research and public health
Aug 30, 2020
AIM: In this study we have investigated the problem of cost effective wireless heart health monitoring from a service design perspective.
Pain phenotypes classified by machine learning using electroencephalography features.
NeuroImage
Aug 29, 2020
Pain is a multidimensional experience mediated by distributed neural networks in the brain. To study this phenomenon, EEGs were collected from 20 subjects with chronic lumbar radiculopathy, 20 age and gender matched healthy subjects, and 17 subjects ...
Neural signal analysis with memristor arrays towards high-efficiency brain-machine interfaces.
Nature communications
Aug 25, 2020
Brain-machine interfaces are promising tools to restore lost motor functions and probe brain functional mechanisms. As the number of recording electrodes has been exponentially rising, the signal processing capability of brain-machine interfaces is f...
Linear predictive coding distinguishes spectral EEG features of Parkinson's disease.
Parkinsonism & related disorders
Aug 23, 2020
OBJECTIVE: We have developed and validated a novel EEG-based signal processing approach to distinguish PD and control patients: Linear-predictive-coding EEG Algorithm for PD (LEAPD). This method efficiently encodes EEG time series into features that ...
A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea.
Medical & biological engineering & computing
Aug 17, 2020
A major challenge in big and high-dimensional data analysis is related to the classification and prediction of the variables of interest by characterizing the relationships between the characteristic factors and predictors. This study aims to assess ...
Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics.
Nature communications
Aug 12, 2020
Sensory information processing in robot skins currently rely on a centralized approach where signal transduction (on the body) is separated from centralized computation and decision-making, requiring the transfer of large amounts of data from periphe...
DE-CNN: An Improved Identity Recognition Algorithm Based on the Emotional Electroencephalography.
Computational and mathematical methods in medicine
Aug 8, 2020
In the past few decades, identification recognition based on electroencephalography (EEG) has received extensive attention to resolve the security problems of conventional biometric systems. In the present study, a novel EEG-based identification syst...
Accurate detection of spontaneous seizures using a generalized linear model with external validation.
Epilepsia
Aug 6, 2020
OBJECTIVE: Seizure detection is a major facet of electroencephalography (EEG) analysis in neurocritical care, epilepsy diagnosis and management, and the instantiation of novel therapies such as closed-loop stimulation or optogenetic control of seizur...
Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.
Circulation. Arrhythmia and electrophysiology
Aug 4, 2020
BACKGROUND: Identification of systolic heart failure among patients presenting to the emergency department (ED) with acute dyspnea is challenging. The reasons for dyspnea are often multifactorial. A focused physical evaluation and diagnostic testing ...
Middle Aged
Diagnosis, Computer-Assisted
Electrocardiography
Predictive Value of Tests
Emergency Medical Services
Aged
Heart Failure, Systolic
Artificial Intelligence
Humans
Signal Processing, Computer-Assisted
Male
Systole
Retrospective Studies
Dyspnea
Ventricular Function, Left
Cardiology Service, Hospital
Female
Ventricular Dysfunction, Left
Stroke Volume
Reproducibility of Results
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