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https://www.readbyqxmd.com/read/28227914/automated-classification-of-pathological-gait-after-stroke-using-ubiquitous-sensing-technology
#1
Elham Dolatabadi, Babak Taati, Alex Mihailidis, Elham Dolatabadi, Babak Taati, Alex Mihailidis, Babak Taati, Alex Mihailidis, Elham Dolatabadi
This study uses machine learning methods to distinguish between healthy and pathological gait. Examples of multi-dimensional pathological and normal gait sequences were collected from post-stroke and healthy individuals in a real clinical setting and with two Kinect sensors. The trajectories of rotational angle and global velocity of selected body joints (hips, spine, shoulders, neck, knees and ankles) over time formed the gait sequences. The combination of k nearest neighbor (kNN) and dynamic time warping (DTW) was used for classification...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227885/orthodontic-force-simulation-of-tooth-pdl-bone-complex-under-archwire-loading
#2
Xinwen Zhou, Zeyang Xia, Yangzhou Gan, Dongxia Zhang, Jing Xiong, Peng Fang, Guanglin Li, Qunfei Zhao, Xinwen Zhou, Zeyang Xia, Yangzhou Gan, Dongxia Zhang, Jing Xiong, Peng Fang, Guanglin Li, Qunfei Zhao, Zeyang Xia, Peng Fang, Xinwen Zhou, Dongxia Zhang, Yangzhou Gan, Guanglin Li, Jing Xiong, Qunfei Zhao
Orthodontic force simulation is very important for the guidance of clinical orthodontic treatment. Previous works were mainly conducted by directly loading the force on a single or a few teeth. However, in clinic, the orthodontic force is provided by loading orthodontic appliances, and there currently is no appropriate way to measure the force on the teeth provided by the loaded appliances. This study presents a method to simulate the orthodontic force of a whole Tooth-Periodontal Ligament-Bone Complex (TPBC) by directly loading the archwire to the dentition applying the finite element method...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227872/detection-of-different-types-of-noise-in-lung-sounds
#3
A Leal, R Couceiro, I Chouvarda, N Maglaveras, J Henriques, R Paiva, P Carvalho, C Teixeira, A Leal, R Couceiro, I Chouvarda, N Maglaveras, J Henriques, R Paiva, P Carvalho, C Teixeira, R Couceiro, P Carvalho, C Teixeira, A Leal, R Paiva, J Henriques, N Maglaveras, I Chouvarda
Lung sound signal processing has proven to be a great improvement to the traditional acoustic interpretation of lung sounds. However, that analysis can be seriously hindered by the presence of different types of noise originated in the acquisition environment or caused by physiological processes. Consequently, the diagnostic accuracy of pulmonary diseases can be severely affected, especially if the implementation of telemonitoring systems is considered. The present study is focused on the implementation of an algorithm able to identify noisy periods, either voluntarily (vocalizations, chest movement and background voices) or involuntarily produced during acquisitions of lung sounds...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227864/automatic-segmentation-of-multimodal-brain-tumor-images-based-on-classification-of-super-voxels
#4
M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian, M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian, K Ward, S M R Soroushmehr, A All, S Samavi, M Kadkhodaei, H Mohaghegh, K Najarian, N Karimi
Despite the rapid growth in brain tumor segmentation approaches, there are still many challenges in this field. Automatic segmentation of brain images has a critical role in decreasing the burden of manual labeling and increasing robustness of brain tumor diagnosis. We consider segmentation of glioma tumors, which have a wide variation in size, shape and appearance properties. In this paper images are enhanced and normalized to same scale in a preprocessing step. The enhanced images are then segmented based on their intensities using 3D super-voxels...
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
#5
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/28227825/real-time-autonomous-bladder-event-classification-and-closed-loop-control-from-single-channel-pressure-data
#6
Robert Karam, Swarup Bhunia, Steve Majerus, Steven W Brose, Margot S Damaser, Dennis Bourbeau, Robert Karam, Swarup Bhunia, Steve Majerus, Steven W Brose, Margot S Damaser, Dennis Bourbeau, Steve Majerus, Margot S Damaser, Robert Karam, Steven W Brose, Dennis Bourbeau, Swarup Bhunia
Urinary incontinence, or the loss of bladder control, is a debilitating condition affecting millions worldwide, which significantly reduces quality of life. Neuromodulation of lower urinary tract nerves can be used to treat sensations of urgency in many subjects, including those with Spinal Cord Injury (SCI). Event driven, or conditional stimulation has been investigated as a possible improvement to the state-of-the-art open-loop stimulation systems available today. However, this requires a robust, adaptive, and noise-tolerant method of classifying bladder function from real-time bladder pressure measurements...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227764/enhanced-dual-stage-correlated-diffusion-imaging
#7
Farzad Khalvati, Junjie Zhang, Masoom A Haider, Alexander Wong, Farzad Khalvati, Junjie Zhang, Masoom A Haider, Alexander Wong, Farzad Khalvati, Alexander Wong, Junjie Zhang, Masoom A Haider
Prostate cancer is the most common form of cancer and third leading cause of cancer death in Canadian men. Multi-parametric magnetic resonance imaging (mpMRI) has become a powerful non-invasive diagnostic tool for the detection of prostate cancer. Among mpMRI imaging modalities, diffusion-weighed imaging has shown the most promising results in accurate detection of prostate cancer. Introduced recently, correlated diffusion imaging (CDI) is a new form of diffusion imaging which accounts for the joint correlation of diffusion signal attenuation across multiple gradient pulse strengths and timings to improve the separability of cancerous and healthy tissues...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227752/multiscale-analysis-of-information-dynamics-for-linear-multivariate-processes
#8
Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo, Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo, Alessandro Montalto, Luca Faes, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
In the study of complex physical and physiological systems represented by multivariate time series, an issue of great interest is the description of the system dynamics over a range of different temporal scales. While information-theoretic approaches to the multiscale analysis of complex dynamics are being increasingly used, the theoretical properties of the applied measures are poorly understood. This study introduces for the first time a framework for the analytical computation of information dynamics for linear multivariate stochastic processes explored at different time scales...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227742/a-computational-model-of-orientation-dependent-activation-of-retinal-ganglion-cells
#9
Timothy Esler, Anthony N Burkitt, David B Grayden, Robert R Kerr, Bahman Tahayori, Hamish Meffin, Timothy Esler, Anthony N Burkitt, David B Grayden, Robert R Kerr, Bahman Tahayori, Hamish Meffin, Anthony N Burkitt, Timothy Esler, Hamish Meffin, David B Grayden, Robert R Kerr, Bahman Tahayori
Currently, a challenge in electrical stimulation for epiretinal prostheses is the avoidance of stimulation of axons of passage in the nerve fiber layer that originate from distant regions of the ganglion cell layer. A computational model of extracellular stimulation that captures the effect of neurite orientation in anisotropic tissue is developed using a modified version of the standard volume conductor model, known as the cellular composite model, embedded in a four layer model of the retina. Simulations are conducted to investigate the interaction of neural tissue orientation, electrode placement, and stimulation pulse duration and amplitude...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227729/high-frame-rate-medical-quality-video-compression-for-tele-eeg
#10
Laurent Lambert, Syed Zahid Ahmed, Khalil Hachicha, Andrea Pinna, Patrick Garda, Laurent Lambert, Syed Zahid Ahmed, Khalil Hachicha, Andrea Pinna, Patrick Garda, Syed Zahid Ahmed, Andrea Pinna, Laurent Lambert, Patrick Garda, Khalil Hachicha
More and more, exams require medical images as a tool to diagnose pathologies. Thus, the transfer and storage of the exam data becomes a critical issue. To address this issue, an image compression algorithm called Waaves has been developed and certified for medical imaging. Our work in this paper deals with a scenario of EEG exams where video of the patient is also recorded in order to correctly diagnose myoclonus pathologies. To achieve this goal, the video needs to be of high quality and at frame rate of at least 100 frames per second...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227550/classification-of-eeg-based-mental-fatigue-using-principal-component-analysis-and-bayesian-neural-network
#11
Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen, Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen, Ashley Craig, Tuan N Nguyen, Sai Ho Ling, Hung T Nguyen, Yvonne Tran, Ganesh R Naik, Rifai Chai
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected before and after conducting the mental load tasks. For the computational intelligence, the system uses the combination of principal component analysis (PCA) as the dimension reduction method of the original 26 channels of EEG data, power spectral density (PSD) as feature extractor and Bayesian neural network (BNN) as classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227487/e-health-prototype-system-for-cardiac-telemonitoring
#12
Laura Juliana Vargas Escobar, Sergio Alexander Salinas, Laura Juliana Vargas Escobar, Sergio Alexander Salinas, Sergio Alexander Salinas, Laura Juliana Vargas Escobar
This paper presents the approach of an e-health system for cardiac telemonitoring which uses the development board LinkIt ONE as a monitoring system. Such board was adapted to measure the cardiac pulse, analyze it and determine whether a person is having a cardiac arrhythmia or not. When an arrhythmia appears, the prototype activates an alarm in order to report the patient's condition and its location to a caregiver or a close healthcare center. The data of the cardiac pulse is originated in an e-health sensor platform connected to an Arduino...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227466/engineering-based-assessment-for-a-shape-design-of-a-pediatric-eptfe-pulmonary-conduit-valve
#13
Yusuke Tsuboko, Yasuyuki Shiraishi, Akihiro Yamada, Tomoyuki Yambe, Hidekazu Miura, Seitaro Mura, Masaaki Yamagishi, Yusuke Tsuboko, Yasuyuki Shiraishi, Akihiro Yamada, Tomoyuki Yambe, Hidekazu Miura, Seitaro Mura, Masaaki Yamagishi, Akihiro Yamada, Seitaro Mura, Yasuyuki Shiraishi, Tomoyuki Yambe, Yusuke Tsuboko, Hidekazu Miura, Masaaki Yamagishi
The authors examined the hemodynamic characteristics of expanded polytetrafluoroethylene (ePTFE) pulmonary valved conduits quantitatively by our originally developed pediatric pulmonary mechanical circulatory system, in order to suggest the optimal shape design. The system consisted of pneumatically driven right atrium and ventricle model, a pulmonary valve chamber, and elastic pulmonary compliance model with peripheral vascular resistance units, a venous reservoir. We employed two different types of ePTFE valve and evaluated the relationship between the leaflets motion and hemodynamic characteristics by using a high-speed video camera...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227404/evaluation-of-the-effect-of-doubling-atlases-using-midsagittal-plane-on-multi-atlas-based-segmentation-of-brain-structures
#14
Subrahmanyam Gorthi, Subrahmanyam Gorthi, Subrahmanyam Gorthi
Normal human brain exhibits approximately bi-fold symmetry with respect to its midsagittal plane (MSP). The objective of this work is to investigate the effect of doubling atlases (i.e., reference images) used in multi-atlas fusion methods by exploiting the inherent bilateral symmetry of human brain. To this end, we perform automated segmentation of 15 subcortical structures using Local Weighted Voting (LWV) fusion method with varying number of atlases. We consider three specific scenarios for atlases while performing fusion: (i) fusion with original OASIS atlases, (ii) with atlases obtained by flipping the original atlases based on their MSP, and (iii) with both original and flipped atlases...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227382/a-new-approach-for-the-detection-of-architectural-distortions-using-textural-analysis-of-surrounding-tissue
#15
Imad Zyout, Roberto Togneri, Imad Zyout, Roberto Togneri, Roberto Togneri, Imad Zyout
Aiming at improving the performance of computer-aided detection of architectural distortion (AD) in mammograms, this paper investigates whether textural patterns of AD surrounding tissue (ST) have the potential to detect AD signatures. More specifically, for characterizing the presence of AD; we investigated the application of textural analysis for discriminating between AD surrounding tissue and normal breast parenchyma. We evaluated the underlying hypothesis using a dataset of 2544 regions of interest (ROI) obtained from the Digital Database for Screening Mammography (DDSM)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227251/robust-extraction-of-the-n1-effect-in-dichotic-listening-using-hardy-space-mappings-of-auditory-late-single-trials
#16
Farah I Corona-Strauss, Daniel J Strauss, Farah I Corona-Strauss, Daniel J Strauss, Farah I Corona-Strauss, Daniel J Strauss
It is known that signs of (early) auditory selective attention are reflected in the N1-wave of auditory late potentials. In recent years, we have analyzed this N1-effect using multiscale neurofunctional modeling and (instantaneous) phase synchronization measures of Hardy space mapped data. To acquire the electroencephalographic data in dichotic listening, we repeated the seminal experiment of Hillyard et al. which first described the N1-effect. Here we apply for the first time phase synchronization measures to these dichotic data and compare the results to the conventional time-domain analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227163/maximum-correntropy-based-attention-gated-reinforcement-learning-designed-for-brain-machine-interface
#17
Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, Jose C Principe, Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, Jose C Principe, Yiwen Wang, Jose C Principe, Xiaoxiang Zheng, Qiaosheng Zhang, Shaomin Zhang, Hongbao Li, Fang Wang
Reinforcement learning is an effective algorithm for brain machine interfaces (BMIs) which interprets the mapping between neural activities with plasticity and the kinematics. Exploring large state-action space is difficulty when the complicated BMIs needs to assign credits over both time and space. For BMIs attention gated reinforcement learning (AGREL) has been developed to classify multi-actions for spatial credit assignment task with better efficiency. However, the outliers existing in the neural signals still make interpret the neural-action mapping difficult...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227094/mutual-information-based-feature-selection-for-low-cost-bcis-based-on-motor-imagery
#18
L Schiatti, L Faes, J Tessadori, G Barresi, L Mattos, L Schiatti, L Faes, J Tessadori, G Barresi, L Mattos, G Barresi, L Mattos, J Tessadori, L Faes, L Schiatti
In the present study a feature selection algorithm based on mutual information (MI) was applied to electro-encephalographic (EEG) data acquired during three different motor imagery tasks from two dataset: Dataset I from BCI Competition IV including full scalp recordings from four subjects, and new data recorded from three subjects using the popular low-cost Emotiv EPOC EEG headset. The aim was to evaluate optimal channels and band-power (BP) features for motor imagery tasks discrimination, in order to assess the feasibility of a portable low-cost motor imagery based Brain-Computer Interface (BCI) system...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227092/eeg-based-single-trial-detection-of-errors-from-multiple-error-related-brain-activity
#19
Guofa Shou, Lei Ding, Guofa Shou, Lei Ding, Guofa Shou, Lei Ding
A key ability of the human brain is to monitor erroneous events and adjust behaviors accordingly. Electrophysiological and neuroimaging studies have demonstrated different brain activities related to errors. Meanwhile, the recognition of error-related brain activity as one aspect of performance monitoring has been reported for potential applications in clinical neuroscience and brain-machine interface, where single-trial analysis and classification would provide novel insights on dynamic brain responses to errors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227037/an-end-to-end-secure-cbir-over-encrypted-medical-database
#20
Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwenole Quellec, Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwenole Quellec, Gwenole Quellec, Reda Bellafqira, Dalel Bouslimi, Gouenou Coatrieux
In this paper, we propose a new secure content based image retrieval (SCBIR) system adapted to the cloud framework. This solution allows a physician to retrieve images of similar content within an outsourced and encrypted image database, without decrypting them. Contrarily to actual CBIR approaches in the encrypted domain, the originality of the proposed scheme stands on the fact that the features extracted from the encrypted images are themselves encrypted. This is achieved by means of homomorphic encryption and two non-colluding servers, we however both consider as honest but curious...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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