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https://www.readbyqxmd.com/read/28238175/classification-of-multi-class-motor-imagery-with-a-novel-hierarchical-svm-algorithm-for-brain-computer-interfaces
#1
Enzeng Dong, Changhai Li, Liting Li, Shengzhi Du, Abdelkader Nasreddine Belkacem, Chao Chen
Pattern classification algorithm is the crucial step in developing brain-computer interface (BCI) applications. In this paper, a hierarchical support vector machine (HSVM) algorithm is proposed to address an EEG-based four-class motor imagery classification task. Wavelet packet transform is employed to decompose raw EEG signals. Thereafter, EEG signals with effective frequency sub-bands are grouped and reconstructed. EEG feature vectors are extracted from the reconstructed EEG signals with one versus the rest common spatial patterns (OVR-CSP) and one versus one common spatial patterns (OVO-CSP)...
February 25, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28237906/an-extensive-analysis-of-various-texture-feature-extractors-to-detect-diabetes-mellitus-using-facial-specific-regions
#2
Ting Shu, Bob Zhang, Yuan Yan Tang
INTRODUCTION: Researchers have recently discovered that Diabetes Mellitus can be detected through non-invasive computerized method. However, the focus has been on facial block color features. In this paper, we extensively study the effects of texture features extracted from facial specific regions at detecting Diabetes Mellitus using eight texture extractors. MATERIALS AND METHODS: The eight methods are from four texture feature families: (1) statistical texture feature family: Image Gray-scale Histogram, Gray-level Co-occurance Matrix, and Local Binary Pattern, (2) structural texture feature family: Voronoi Tessellation, (3) signal processing based texture feature family: Gaussian, Steerable, and Gabor filters, and (4) model based texture feature family: Markov Random Field...
February 22, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28235391/sar-and-qsar-study-on-the-bioactivities-of-human-epidermal-growth-factor-receptor-2-her2-inhibitors
#3
D Qu, A Yan, J S Zhang
In this paper, structure-activity relationship (SAR, classification) and quantitative structure-activity relationship (QSAR) models have been established to predict the bioactivity of human epidermal growth factor receptor-2 (HER2) inhibitors. For the SAR study, we established six SAR (or classification) models to distinguish highly and weakly active HER2 inhibitors. The dataset contained 868 HER2 inhibitors, which was split into a training set including 580 inhibitors and a test set including 288 inhibitors by a Kohonen's self-organizing map (SOM), or a random method...
February 2017: SAR and QSAR in Environmental Research
https://www.readbyqxmd.com/read/28230767/an-adaptive-multi-sensor-data-fusion-method-based-on-deep-convolutional-neural-networks-for-fault-diagnosis-of-planetary-gearbox
#4
Luyang Jing, Taiyong Wang, Ming Zhao, Peng Wang
A fault diagnosis approach based on multi-sensor data fusion is a promising tool to deal with complicated damage detection problems of mechanical systems. Nevertheless, this approach suffers from two challenges, which are (1) the feature extraction from various types of sensory data and (2) the selection of a suitable fusion level. It is usually difficult to choose an optimal feature or fusion level for a specific fault diagnosis task, and extensive domain expertise and human labor are also highly required during these selections...
February 21, 2017: Sensors
https://www.readbyqxmd.com/read/28227944/classification-of-squat-quality-with-inertial-measurement-units-in-the-single-leg-squat-mobility-test
#5
Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic, Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic, Alex Lee, Sachin Raina, Dana Kulic, Rezvan Kianifar
Many assessment and diagnosis protocols in rehabilitation, orthopedic surgery and sports medicine rely on mobility tests like the Single Leg Squat (SLS). In this study, a set of three Inertial Measurement Units (IMUs) were used to estimate the joint pose during SLS and to classify the SLS as poor, moderate or good. An Extended Kalman Filter pose estimation method was used to estimate kinematic joint variables, and time domain features were generated based on these variables. The most important features were then selected and used to train Support Vector Machine (SVM), Linear Multinomial Logistic Regression, and Decision Tree classifiers...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227928/pca-criterion-for-svm-mlp-classifier-for-flavivirus-biomarker-from-salivary-sers-spectra-at-febrile-stage
#6
A R M Radzol, Khuan Y Lee, W Mansor, I S Omar, A R M Radzol, Khuan Y Lee, W Mansor, I S Omar, Khuan Y Lee, A R M Radzol, I S Omar, W Mansor
Non-structural protein (NS1) has been conceded as one of the biomarkers for flavivirus that causes diseases with life threatening consequences. NS1 is an antigen that allows detection of the illness at febrile stage, mostly from blood samples currently. Our work here intends to define an optimum model for PCA-SVM with MLP kernel for classification of flavivirus biomarker, NS1 molecule, from SERS spectra of saliva, which to the best of our knowledge has never been explored. Since performance of the model depends on the PCA criterion and MLP parameters, both are examined in tandem...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227897/predicting-rapid-cognitive-decline-in-alzheimer-s-disease-patients-using-quantitative-eeg-markers-and-neuropsychological-test-scores
#7
Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt, Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt, Carmina Reyes-Coronel, Gerhard Ransmayr, Dieter Grossegger, Markus Waser, Peter Dal-Bianco, Thomas Benke, Manfred Deistler, Reinhold Schmidt, Heinrich Garn
Alzheimer's Disease (AD) can take different courses: some patients remain relatively stable while others decline rapidly within a given period of time. Losing more than 3 Mini-Mental State Examination (MMSE) points in one year is classified as rapid cognitive decline (RCD). This study used neuropsychological test scores and quantitative EEG (QEEG) markers obtained at a baseline examination to identify if an AD patient will be suffering from RCD. Data from 68 AD patients of the multi-centric cohort study PRODEM-Austria were applied...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227860/classification-of-adhd-subgroup-with-recursive-feature-elimination-for-structural-brain-mri
#8
Muhammad Naveed Iqbal Qureshi, Boreom Lee, Muhammad Naveed Iqbal Qureshi, Boreom Lee, Boreom Lee
This article reports the binary classification results of ADHD patients among three subgroups by using ADHD-200 dataset. We have proposed a modified feature selection approach using standard RFE-SVM model. Our results show the significance of the proposed method by making a comparison of J-statistics, F1-score and classification accuracy based on the feature selection from the original RFE-SVM vs. the proposed modification of RFE-SVM. In addition, we have also compared the number of features in each setting to achieve the highest accuracy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227782/predicting-short-term-icu-outcomes-using-a-sequential-contrast-motif-based-classification-framework
#9
Shameek Ghosh, Hung Nguyen, Jinyan Li, Shameek Ghosh, Hung Nguyen, Jinyan Li, Shameek Ghosh, Hung Nguyen, Jinyan Li
Critical ICU events like acute hypotension and septic shock are dangerous complications, leading to multiple organ failures and eventual death. Previously, pattern mining algorithms have been employed for extracting interesting rules in various clinical domains. However, the extracted rules are directly investigated by clinicians for diagnosing a disease. Towards this purpose, there is a need to develop advanced prediction models which integrate dynamic patterns to learn a patient's physiological condition...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227698/predicting-brain-stimulation-treatment-outcomes-of-depressed-patients-through-the-classification-of-eeg-oscillations
#10
Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra, Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra, Michael Breakspear, Ahmed Al-Ani, Tjeerd W Boonstra, Colleen K Loo
Major depressive disorder (MDD) is a mental disorder that is characterized by negative thoughts, mood and behavior. Transcranial direct current stimulation (tDCS) has recently emerged as a promising brain-stimulation treatment for MDD. A standard tDCS treatment involves numerous sessions that run over a few weeks, however, not all participants respond to this type of treatment. This study aims to predict which patients improve in mood and cognition in response to tDCS treatment by analyzing electroencephalography (EEG) of MDD patients that was collected at the start of tDCS treatment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227551/detecting-slow-eye-movement-for-recognizing-driver-s-sleep-onset-period-with-eeg-features
#11
Yingying Jiao, Bao-Liang Lu, Yingying Jiao, Bao-Liang Lu, Baa-Liang Lu, Yingying Jiao
Slow eye movement (SEM) is reported as a reliable indicator of sleep onset period (SOP) in sleep researches, but its characteristics and functions for detecting driving fatigue have not been fully studied. Through visual observations on ten subjects' experimental data, we found that SEMs tend to occur during eye closure events (ECEs). SEMs accompanied with alpha wave's attenuation during simulated driving was observed in our study. We used box plots to analyze the distribution of durations of different ECEs to measure sleepiness level...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227457/evaluation-of-periodic-breathing-in-respiratory-flow-signal-of-elderly-patients-using-svm-and-linear-discriminant-analysis
#12
Sara Argerich, Sergio Herrera, Salvador Benito, Beatriz F Giraldo, Sara Argerich, Sergio Herrera, Salvador Benito, Beatriz F Giraldo, Beatriz F Giraldo, Salvador Benito, Sara Argerich, Sergio Herrera
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The periodic modulation of the amplitude of the breathing pattern is proved to be one of the multiple symptoms of an acute episode, and thus, the features extracted from its characterization contribute in the improvement of the first diagnosis of the clinical practice...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227412/development-of-a-real-time-lumbar-ultrasound-image-processing-system-for-epidural-needle-entry-site-localization
#13
Yusong Leng, Shuang Yu, Kok Kiong Tan, Philip Tildsley, Alex Tiong Heng Sia, Ban Leong Sng, Yusong Leng, Shuang Yu, Kok Kiong Tan, Philip Tildsley, Alex Tiong Heng Sia, Ban Leong Sng, Yusong Leng, Shuang Yu, Philip Tildsley, Ban Leong Sng, Kok Kiong Tan
A fully-automatic ultrasound image processing system that can determine the needle entry site for epidural anesthesia (EA) in real time is presented in this paper. Neither the knowledge of anesthetists nor additional hardware is required to operate the system, which firstly directs the anesthetists to reach the desired insertion region in the longitudinal view, i.e., lumbar level L3-L4, and then locates the ideal puncture site by instructing the anesthetists to rotate and slightly adjust the position of ultrasound probe...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227394/principal-component-analysis-of-the-shape-deformations-of-the-hippocampus-in-alzheimer-s-disease
#14
Xiaoying Tang, Jiong Wu, Xiaoying Tang, Jiong Wu, Xiaoying Tang, Jiong Wu
In this paper, we present the principal component analysis (PCA) of shape deformations of bilateral hippocampi in Alzheimer's disease (AD) as derived in the large deformation diffeomorphic metric mapping setting. We investigated the PCA patterns (the scores and loadings) of the bilateral hippocampi for 51 subjects, 28 of which had AD while 23 were normal aging. Student's t-tests were used to select the components displaying significant group difference for a more purposed analysis. Our findings revealed that the head part of the hippocampus in each hemisphere, to be specific the CA1 and subiculum subregions, contributed the most to the significant group differences...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227388/learning-to-distinguish-cerebral-vasculature-data-from-mechanical-chatter-in-india-ink-images-acquired-using-knife-edge-scanning-microscopy
#15
Michael R Nowak, Yoonsuck Choe, Michael R Nowak, Yoonsuck Choe, Michael R Nowak, Yoonsuck Choe
We introduce a simple, yet effective, procedure for accurate classification of connected components embedded in biological images. In our method, a training set is generated from user-delineated features of manually-labeled examples; we subsequently train a classifier using the resultant training set. The overall process is described using imaging data acquired from an India-ink perfused C57BL/6J mouse brain using Knife Edge Scanning Microscopy. We illustrate the procedure through segmentation of cerebral vasculature structures from mechanical noise using trained classifiers...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227383/an-empirical-study-of-parallel-solutions-for-glcm-calculation-of-diffraction-images
#16
John Dixon, Junhua Ding, John Dixon, Junhua Ding, Junhua Ding, John Dixon
Feature calculation of large amount of images is time consuming. The GPU based CUDA framework offers an affordable solution for calculating image features in parallel. The research focused on an empirical study of different implementations of a general-purpose GPU-based solution for calculating Gray-Level Co-occurrence Matrices (GLCM) and associated features of diffraction images of biological cells. The GLCM features calculated from the diffraction images are used for rapid cell classification with the machine learning algorithm Support Vector Machine (SVM)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227297/features-of-cerebral-oxygenation-detects-brain-injury-in-premature-infants
#17
John M O'Toole, Mmoloki Kenosi, Daragh Finn, Geraldine B Boylan, Eugene M Dempsey, John M O'Toole, Mmoloki Kenosi, Daragh Finn, Geraldine B Boylan, Eugene M Dempsey, Daragh Finn, Eugene M Dempsey, Mmoloki Kenosi, John M Otoole, Geraldine B Boylan
Babies born prematurely can develop brain injury within days after birth. Early identification of high-risk infants enables appropriate clinical care to mitigate potential lifelong disabilities. Near infra-red spectroscopy is an established technology that can provide continuous measurements of cerebral oxygen saturation (rcSO2) over this critical period. We develop a feature set of the rcSO2 signal for the purpose of detecting brain injury. Our feature set contains amplitude, spectral, and fractal dimension features within 5 frequency bands...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227201/can-we-discriminate-between-apnea-and-hypopnea-using-audio-signals
#18
M Halevi, E Dafna, A Tarasiuk, Y Zigel, M Halevi, E Dafna, A Tarasiuk, Y Zigel, A Tarasiuk, Y Zigel, M Halevi, E Dafna
Obstructive sleep apnea (OSA) affects up to 14% of the population. OSA is characterized by recurrent apneas and hypopneas during sleep. The apnea-hypopnea index (AHI) is frequently used as a measure of OSA severity. In the current study, we explored the acoustic characteristics of hypopnea in order to distinguish it from apnea. We hypothesize that we can find audio-based features that can discriminate between apnea, hypopnea and normal breathing events. Whole night audio recordings were performed using a non-contact microphone on 44 subjects, simultaneously with the polysomnography study (PSG)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227168/a-novel-method-for-splice-sites-prediction-using-sequence-component-and-hidden-markov-model
#19
Elham Pashaei, Alper Yilmaz, Mustafa Ozen, Nizamettin Aydin, Elham Pashaei, Alper Yilmaz, Mustafa Ozen, Nizamettin Aydin, Nizamettin Aydin, Alper Yilmaz, Elham Pashaei, Mustafa Ozen
With increasing growth of DNA sequence data, it has become an urgent demand to develop new methods to accurately predict the genes. The performance of gene detection methods mainly depend on the efficiency of splice site prediction methods. In this paper, a novel method for detecting splice sites is proposed by using a new effective DNA encoding method and AdaBoost.M1 classifier. Our proposed DNA encoding method is based on multi-scale component (MSC) and first order Markov model (MM1). It has been applied to the HS3D dataset with repeated 10 fold cross validation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227167/unsupervised-selection-of-rv144-hiv-vaccine-induced-antibody-features-correlated-to-natural-killer-cell-mediated-cytotoxic-reactions
#20
Ferdi Sarac, Volkan Uslan, Huseyin Seker, Ahmed Bouridane, Ferdi Sarac, Volkan Uslan, Huseyin Seker, Ahmed Bouridane, Ferdi Sarac, Huseyin Seker, Ahmed Bouridane, Volkan Uslan
HIV-1 vaccine injection has been shown less effective due to the diversity of antigens. Increasing the knowledge of the associations between immune system and virus would ultimately result in producing effective vaccines against HIV-1 virus. To increase the understanding of immunological information, computational models can be utilised to construct predictive models. The aim of this study is, therefore, to predict the effect of antibody features (IgGs) and primary Natural Killing (NK) cells' cytotoxic activities on RV144 vaccine recipients and to disclose the functional relationship between immune system and HIV virus...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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