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EC-PC spike detection for high performance Brain-computer Interface

EC-PC spike detection for high performance Brain-Computer In...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Wing-kin Tam Rosa So Cuntai Guan Zhi Yang NUS Graduate School of Integrative Sciences and Engineering National University of Singapore 117597 Singapore Department of Neural and Biomedical Technology Institute for Info-comm Research A*STAR 138632 Singapore Department of Electrical and Computer Engineering National University of Singapore117583 Singapore

ISBN: (纸本)9781424492695

Spike detection is often the first step in neural signal processing. It has profound effects on subsequent steps down the signal processing pipeline. Most existing spike detection algorithms require manual setting of detection threshold, which is very inconvenient for long-term neural interface. Furthermore, these algorithms are usually only evaluated using simulated dataset. Few studies are devoted to evaluating how different spike detection algorithms affect decoding performance in brain-computer interface. We have proposed a new spike detection algorithm called "exponential component - power component" (EC-PC) that offers fully automatic unsupervised spike detection. In this study, we compared the performance of a motor decoding task when different spike detection algorithms were used. EC-PC is shown to produce a higher decoding accuracy compared with other existing algorithms. Our results suggest that EC-PC can help improve motor decoding performance of brain-computer interface.

关键词： EC-PC performance Brain-computer Interface Brain-computer Interfaces Detection algorithms computer interfaces Spike spike spikes DECODING signal processing

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An effective algorithm for computing all-terminal reliability bounds

An effective algorithm for computing all-terminal reliabilit...

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作者： Silva, Jaime Gomes, Teresa Tipper, David Martins, Lúcia Kounev, Velin Department of Informatics Engineering CISUC University of Coimbra Põlo 2 Pinhal de Marrocos Coimbra3030-290 Portugal Department of Physics CFC University of Coimbra Coimbra3004-516 Portugal Department of Electrical and Computer Engineering University of Coimbra Põlo 2 Pinhal de Marrocos Coimbra3030-290 Portugal INESC Coimbra Rua Antero de Quental 199 Coimbra3000-033 Portugal Graduate Telecommunications and Networking Program University of Pittsburgh PittsburghPA15260 United States

The exact calculation of all-terminal reliability is not feasible in large networks. Hence estimation techniques and lower and upper bounds for all-terminal reliability have been utilized. Here, we propose using an ordered subset of the mincuts and an ordered subset of the minpaths to calculate an all-terminal reliability upper and lower bound, respectively. The advantage of the proposed new approach results from the fact that it does not require the enumeration of all mincuts or all minpaths as required by other bounds. The proposed algorithm uses maximally disjoint minpaths, prior to their sequential generation, and also uses a binary decision diagram for the calculation of their union probability. The numerical results show that the proposed approach is computationally feasible, reasonably accurate and much faster than the previous version of the algorithm. This allows one to obtain tight bounds when it not possible to enumerate all mincuts or all minpaths as revealed by extensive tests on real-world networks. © 2015 Wiley Periodicals, Inc. NETWORKS, Vol. 66(4), 282-295 2015.

关键词： Binary decision diagrams

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Protected shortest path visiting specified nodes

Protected shortest path visiting specified nodes

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International Workshop on Reliable Networks Design and Modeling (RNDM)

作者： Teresa Gomes Sofia Marques Lúcia Martins Marta Pascoal David Tipper INESC Coimbra Coimbra Portugal Department of Electrical and Computer Engineering University of Coimbra Coimbra Portugal Department of Mathematics Coimbra Portugal Graduate Telecommunications and Networking Program University of Pittsburgh Pittsburgh PA USA

In this paper heuristics are proposed for finding the shortest loopless path, from a source node to a target node, that visits a given set of nodes in a directed graph, such that it can be protected using a node-disjoint path. This type of problem may arise due to network management constraints. The problem of calculating the shortest path that visits a given set of nodes is at least as difficult as the traveling salesman problem, and it has not received much attention. Nevertheless an efficient integer linear programming (ILP) formulation has been recently proposed for this problem. Here, the ILP formulation is adapted to include the constraint that the obtained path will be able to be protected by a node-disjoint path. Computational experiments show that this approach, namely in large networks, may fail to obtain a solution in a reasonable amount of time. Therefore three versions of a heuristic are proposed, for which extensive computational results show that they are able to find a solution in most cases, and that the calculated solutions present an acceptable relative error regarding the cost of the optimal active path. Further the CPU time required by the heuristics is significantly smaller than the required by the used ILP solver.

关键词： Algorithm design and analysis Heuristic algorithms Amplitude shift keying Mathematical model Routing Electronic mail Complexity theory

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2D and 3D photogrammetric models for respiratory analysis in adolescents

2D and 3D photogrammetric models for respiratory analysis in...

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13th Mediterranean Conference on Medical and Biological engineering and Computing 2013, MEDICON 2013

作者： Ripka, W.L. Ulbricht, Leandra Neves, E.B. Gewehr, P.M. Federal University of Technology-Paraná Graduate Program in Electrical Engineering and Computer Science Curitiba Brazil Federal University of Technology-Paraná Graduate Program in Biomedical Engineering Curitiba Brazil

ISBN: (纸本)9783319008455

The aim of this study was to test the correlation between a two dimensional (2D) and three dimensional (3D) biomechanical photogrammetric model, with inspiratory and expiratory lung capacities in adolescents. This was a cross sectional study, in which 40 adolescents of both genders were assessed, aged between 14 and 17 years old. Anthropometric data were collected (body mass, height and thorax length). Then, three tests were performed for forced vital capacity (FVC) in the supine position, using a spirometer. For FVC proof assessments, the volunteers were subjected to a mapping of body structures with adhesive markers and, after the test, one was selected with better respiratory performance for computational analysis of photogrammetric thoracoabdominal mobility. The results showed average values of 15.40, 61.29, 1.66 and 25.54, for age (years), body mass (kg), height (m) and thorax length (cm), respectively. The analysis found respiratory values of: 3:22 l for forced expiratory volume in one second, 3.87 l for forced vital capacity, 6.50 l/s for peak expiratory flow and 3.59 l for deep inspiration. The correlation showed better values for 3D photogrammetry as compared to 2D. The inclusion of the third dimension has been applied in order to adequate photogrammetric methodology to existing kinematics analysis tools as videogrammetry computed and plethysmography. © Springer International Publishing Switzerland 2014.

关键词： Photogrammetry

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Analysis of combined ultrasound therapy and medium frequency current in abdominal adiposity

Analysis of combined ultrasound therapy and medium frequency...

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13th Mediterranean Conference on Medical and Biological engineering and Computing 2013, MEDICON 2013

作者： Gripp, Paula Alessandra Garcia Stadnik, A.M.W. Bona, A.A. Neves, E.B. UTFPR/Graduate Program in Biomedical Engineering Curitiba Brazil UTFPR/Department of Electrical Engineering and Industrial Informatics Curitiba Brazil

ISBN: (纸本)9783319008455

Brazil is the second country in the world in aesthetic surgical procedures, with 905,000 procedures, being behind only the U.S., according to information corresponding to the year 2011 from the International Society of Aesthetic Plastic Surgery (ISAPS) and the Brazilian Society of Plastic Surgery (BSPS). Given this scenario, we chose to study the adipose cells, which are a organ with intense metabolic and endocrine activity. Accumulated in excess adipocytes causes the disadvantages metabolic and endocrine in the organism, leading to obesity in general and located. This research referred to obesity marked by deposition in the abdominal area, that is denominated central or androide obesity, in the case of a localized adiposity. The objective of the research was to analyze the effects of therapeutic ultrasound and medium frequency current in this particular type of adiposity. The therapeutic protocol consisted of the utilization therapy of therapeutic ultrasound 3 MHz and medium frequency current (1 kHz, with Bursts of 2 ms), performed in ten sessions of 40-minute each. The sample consisted of 16 women, of whom 14 have finalized treatment. The assessment instruments used were: percentage of total body fat by bioimpedance, skinfold measurement in the region where localized adiposity was. We observed the reduction in measures measured in abdominal circumference and percentage decrease in total body fat measured on a digital scale bipolar bioimpedance, as well as the decrease measured by skinfold plicometer in all patients submitted to treatment. The results of submission to the treatment of Combined Therapy can be considered satisfactory, due the record in reducing the parameters analyzed, despite being necessary to a more thorough study on the subject and scientific substantiation in a larger sample. Based on this study has observed a dearth of studies on the subject so that the same password be a non-invasive alternative in the treatment of localized adiposity and derm

关键词： Ultrasonics

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Donor Selection for Hematopoietic Stem Cell Transplant Using Cost-Sensitive SVM

Donor Selection for Hematopoietic Stem Cell Transplant Using...

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International Conference on Machine Learning and Applications (ICMLA)

作者： Adarsh Sivasankaran Vladimir Cherkassky Mark Albrecht Eric Williams Martin Maiers Biomedical Informatics and Computational Biology Department of Electrical and Computer Engineering University of Minnesota Minneapolis Minnesota U.S.A. Bioinformatics Research National Marrow Donor Program Minneapolis Minnesota U.S.A.

ISBN: (纸本)9781509002887

Donor selection for Hematopoietic Stem Cell Transplant often requires physicians to manually select 3 to 5 donors from a list of 100s of genetically compatible donors as identified by HLA-based matching algorithms. The decision process is complicated by a lack of strict guidelines governing a "secondary" selection process, which is based upon non-HLA donor attributes. Our research is aimed at modeling this "secondary" decision process which can help physicians choose the right donors, based on donor attributes and historical choice behavior. Proposed black box models will help in improving selection consistency.

关键词： Medical services Support vector machines Data models Stem cells Mathematical model Numerical models Training

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Fully automatic cardiac T2* relaxation time estimation using marker-controlled watershed

Fully automatic cardiac T2* relaxation time estimation using...

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IEEE International Conference on Control System, Computing and engineering (ICCSCE)

作者： Kittichai Wantanajittikul Suwit Saekho Arintaya Phrommintikul Nipon Theera-Umpon Sansanee Auephanwiriyakul Monruedee Tapanya Busakol Ngammuang Biomedical Engineering Program Chiang Mai University Chiang Mai Thailand Department of Electrical Engineering Chiang Mai University Chiang Mai Thailand Department of Radiologic Technology Chiang Mai University Chiang Mai Thailand Department of Computer Engineering Chiang Mai University Chiang Mai Thailand Department of Internal Medicine Chiang Mai University Chiang Mai Thailand

Heart failure due to iron-overload cardiomyopathy is one of the main causes of mortality. The cardiomyopathy is reversible if intensive iron chelation treatment is done in time. However, the diagnosis is often delayed because the cardiac iron deposition is unpredictable and the symptoms are lately detected. The widely used method in many countries is by calculating a parameter called the T2* (T2-star) from magnetic resonance (MR) image sequences. In order to compute the T2* value, the region of interest (ROI) is manually selected by an expert which may require considerable time and skills. The aim of this work is hence to develop the fully automatic cardiac T2* measurement by using marker-controlled watershed for segmenting the interventricular septum in cardiac MR images. Mathematical morphologies are also used to reduce some errors. Moreover, a new approach for T2* evaluation is suggested in this work. The interventricular septa from MR images in all echo times (TE's) are segmented to calculate the signal intensities (SI's) while the classical method segments the interventricular septum only in the first TE. Thirty cardiac MR images were used in this work. The segmentation performances are evaluated only from the MR images in the first TE. The precision and recall are 0.9 and 0.8 compared with the two experts' opinions. It shows that the segmentation results of our proposed technique are quite similar to the experts' opinions. The T2* values were carried out based on the automatically segmented ROI's. The mean difference of T2* values between the proposed method and the experts' opinions is about 1 ms. This demonstrates that the T2* values from the proposed technique are also close to T2* values calculated by the experts.

关键词： Image segmentation Iron Magnetic resonance imaging Morphology Estimation biomedical engineering Conferences

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A New Approach for SSVEP Detection Using PARAFAC and Canonical Correlation Analysis

A New Approach for SSVEP Detection Using PARAFAC and Canonic...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Richard Tell Saeed Pouryazdian Andre Ferreira Soosan Beheshti Sridhar Krishnan Teodiano Bastos Post-Graduate Program in Electrical Engineering (PPGEE). UFES. Av. Fernando Ferrari 514. Vitoria Brazil. Department of Electrical and Computer Engineering. Ryerson University. 350 Victoria St Toronto ON M5B 2K3 Canada.

ISBN: (纸本)9781424492695

This paper presents a new way for automatic detection of SSVEPs through correlation analysis between tensor models. 3-way EEG tensor of channel x frequency x time is decomposed into constituting factor matrices using PARAFAC model. PARAFAC analysis of EEG tensor enables us to decompose multichannel EEG into constituting temporal, spectral and spatial signatures. SSVEPs characterized with localized spectral and spatial signatures are then detected exploiting a correlation analysis between extracted signatures of the EEG tensor and the corresponding simulated signatures of all target SSVEP signals. The SSVEP that has the highest correlation is selected as the intended target. Two flickers blinking at 8 and 13 Hz were used as visual stimuli and the detection was performed based on data packets of 1 second without overlapping. Five subjects participated in the experiments and the highest classification rate of 83.34% was achieved, leading to the Information Transfer Rate (ITR) of 21.01 bits/min.

关键词： EEG SSVEPs PARAFAC

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Mumford-Shah based unsupervised segmentation of brain tissue on MR images

Mumford-Shah based unsupervised segmentation of brain tissue...

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13th Mediterranean Conference on Medical and Biological engineering and Computing 2013, MEDICON 2013

作者： Cevik, A. Eyuboglu, B.M. Biomedical Engineering Graduate Program Graduate School of Natural and Applied Sciences Turkey Department of Electrical and Electronics Engineering Middle East Technical University 06800 Ankara Turkey

ISBN: (纸本)9783319008455

Automated segmentation of different tissues on medical images is a crucial concept for medical image analysis. In this study, unsupervised image segmentation problem is generalized as a Mumford-Shah energy minimization problem, and several solution proposals for the problem are investigated. Ambrosio-Tortorelli approximation method is implemented, and the performance of the algorithm on magnetic resonance (MR) images of brain is evaluated. First image used in the experiments is chosen among the ones which contain an edema formation due to a brain tumor, and the second one belongs to a healthy subject on which gray matter/white matter segmentation is aimed. Acquired results are presented in visual, tabular and numerical forms. Results and performance are discussed and quantitatively evaluated. © Springer International Publishing Switzerland 2014.

关键词： Magnetic resonance

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Maximizing predictability of a bottom-up complex multi-scale model through systematic validation and multi-objective multi-level optimization

Maximizing predictability of a bottom-up complex multi-scale...

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International IEEE/EMBS Conference on Neural engineering, CNE

作者： Jean-Marie C. Bouteiller Zhuobo Feng Alexander Onopa Mike Huang Eric Y. Hu Endre Somogyi Michel Baudry Serge Bischoff Theodore W. Berger Department of Biomedical Engineering University of Southern California Los Angeles CA USA Department of Computer Science University of Southern California Los Angeles USA Department of Electrical Engineering University of Southern California Los Angeles USA University of Southern California Los Angeles CA US Biocomplexity Institute Indiana University Bloomington Bloomington IN USA Graduate College of Biomedical Sciences Western University of Health Sciences Pomona CA USA Rhenovia Pharma 20c Mulhouse FRANCE Engineering with the Department of Biomedical Engineering University of Southern California Los Angeles CA USA

Computational models are mathematical representations meant to replicate the biological system they represent, as well as provide insights and predict the system's dynamics in response to changing conditions. In a bottom-up modeling approach, a multitude of models may be compounded to represent more complex higher level biological systems. However, guaranteeing the validity and predictability of the compounded ensemble may become increasingly challenging as more components are integrated. We herein present a sequential and iterative method to maximize predictability of a complex multiscale model. We have successfully developed a multiscale modeling platform comprised of mechanisms ranging from the biomolecular level to multi-cellular networks. To maintain a high level of predictability of the global platform, we introduce a systematic approach to not only validate all models independently, but also verify the validity of compounded models as additional information becomes available at higher levels of complexity. Iterative and systematic application of these validation steps at increasing levels of complexity is intended to maximize the predictive power of the platform, making it a powerful tool to study the impacts of low-levels modifications (pathologies, drugs, etc.) on higher functional levels. The work presented lays down the rationale of the approach, the open design implementation and results.

关键词： Biological system modeling Computational modeling Optimization Predictive models Neurons Mathematical model Complexity theory

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