AIMC Journal:
Medical & biological engineering & computing

Showing 301 to 310 of 330 articles

Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network.

Medical & biological engineering & computing Nov 18, 2017
Impedance cardiography is a low-cost noninvasive technique, based on monitoring of the thoracic impedance, for estimation of stroke volume (SV). Impedance cardiogram (ICG) is the negative of the first derivative of the impedance signal. A technique f...
Humans Neural Networks, Computer Algorithms Female Stroke Volume Middle Aged Signal Processing, Computer-Assisted Echocardiography, Doppler Cardiography, Impedance Aged Young Adult Adult Male
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Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach.

Medical & biological engineering & computing Oct 18, 2017
Mental stress has been identified as one of the major contributing factors that leads to various diseases such as heart attack, depression, and stroke. To avoid this, stress quantification is important for clinical intervention and disease prevention...
Electroencephalography Electrodes Multilevel Analysis Alpha Rhythm Humans Male Young Adult Stress, Psychological ROC Curve Support Vector Machine
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Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI.

Medical & biological engineering & computing Sep 26, 2017
Precise segmentation of stroke lesions from brain magnetic resonance (MR) images poses a challenging task in automated diagnosis. In this paper, we proposed a new method called watershed-based lesion segmentation algorithm (WLSA), which is a novel in...
Algorithms Brain Female Reproducibility of Results Humans Magnetic Resonance Imaging Fuzzy Logic Stroke Brain Ischemia Male Middle Aged Time Factors ROC Curve Image Interpretation, Computer-Assisted
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A novel and reliable computational intelligence system for breast cancer detection.

Medical & biological engineering & computing Sep 11, 2017
Cancer is the second important morbidity and mortality factor among women and the most incident type is breast cancer. This paper suggests a hybrid computational intelligence model based on unsupervised and supervised learning techniques, i.e., self-...
Early Detection of Cancer Decision Making Reproducibility of Results Humans Artificial Intelligence Breast Neoplasms ROC Curve Female Models, Theoretical
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A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).

Medical & biological engineering & computing Jul 13, 2017
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning fra...
Electroencephalography Logistic Models Models, Theoretical Support Vector Machine Bayes Theorem Reproducibility of Results Young Adult Male Adult Sensitivity and Specificity Middle Aged Humans Depressive Disorder, Major Female Surveys and Questionnaires
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The impact of goal-oriented task design on neurofeedback learning for brain-computer interface control.

Medical & biological engineering & computing Jul 8, 2017
Neurofeedback training teaches individuals to modulate brain activity by providing real-time feedback and can be used for brain-computer interface control. The present study aimed to optimize training by maximizing engagement through goal-oriented ta...
Neurofeedback Functional Laterality Teaching Learning Female Young Adult Adult Male Humans Electroencephalography Neural Networks, Computer Self Report Brain-Computer Interfaces Brain
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EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.

Medical & biological engineering & computing Dec 19, 2016
Electroencephalography (EEG) has been widely utilized to measure the depth of anaesthesia (DOA) during operation. However, the EEG signals are usually contaminated by artifacts which have a consequence on the measured DOA accuracy. In this study, an ...
Algorithms Brain Computer Simulation Reproducibility of Results Sensitivity and Specificity Intraoperative Neurophysiological Monitoring Models, Statistical Data Interpretation, Statistical Entropy Electroencephalography Consciousness Monitors Artifacts Pattern Recognition, Automated Multivariate Analysis Humans Neural Networks, Computer
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Automatic detection and classification of leukocytes using convolutional neural networks.

Medical & biological engineering & computing Nov 7, 2016
The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a hot issue because of its important applications in disease diagnosis. Nowadays the morphological analysis of blood cells is operated manually by skilled opera...
Pattern Recognition, Automated Precursor Cell Lymphoblastic Leukemia-Lymphoma Sensitivity and Specificity Leukocytes Microscopy Machine Learning Image Interpretation, Computer-Assisted Algorithms Cells, Cultured Humans Reproducibility of Results Neural Networks, Computer
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Application of artificial neural network model combined with four biomarkers in auxiliary diagnosis of lung cancer.

Medical & biological engineering & computing Oct 20, 2016
The purpose of the study was to explore the application of artificial neural network model in the auxiliary diagnosis of lung cancer and compare the effects of back-propagation (BP) neural network with Fisher discrimination model for lung cancer scre...
Middle Aged Humans Diagnosis, Computer-Assisted Reproducibility of Results Neural Networks, Computer Lung Neoplasms Sensitivity and Specificity Algorithms Biomarkers, Tumor Pattern Recognition, Automated Female Male
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Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.

Medical & biological engineering & computing Oct 3, 2016
Lung cancer is the major cause of death among patients with cancer worldwide. This work is intended to develop a methodology for the diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resource Initiative (LID...
Models, Genetic Support Vector Machine Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Sensitivity and Specificity Male Middle Aged Pattern Recognition, Automated Radiographic Image Enhancement Humans Algorithms Tomography, X-Ray Computed Female
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