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Action potential detection with automatic template matching

Action potential detection with automatic template matching

引用

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

作者： S. Kim J. McNames K. Burchiel Biomedical Signal Processing Laboratory Electrical and Computer Engineering Portland State University OR USA Department of Neurological Surgery Oregon Health and Sciences University OR USA

Detecting action potentials has an important role in analyzing extracellular neuronal recordings. Current algorithms require subjective tuning by a user in the form of user-specified parameters. This work describes a fully automatic template-matching spike detection algorithm that does not require any tuning. This algorithm is robust to noise and performs better than an optimum threshold detection algorithm.

关键词： Extracellular signal processing algorithms Detection algorithms Background noise Detectors Inspection Libraries Sampling methods Frequency Microelectrodes

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Development of digital image retrieval technique using autocorrelogram and wavelet based texture

Development of digital image retrieval technique using autoc...

引用

Midwest Symposium on Circuits and Systems (MWSCAS)

作者： P. Skulsujirapa S. Aramvith S. Siddhichai Digital Signal Processing Research Laboratory Department of Electrical Engineering Faculty of Engineering Chulalongkom University Bangkok Thailand National Electronics and Computer Technology Center Pathumthani Thailand

In this paper, we present the development of a digital image retrieval technique using autocorrelogram and wavelet based texture feature. Autocorrelogram is a color feature that is able to incorporate the spatial correlation of alike color and is tolerant to large changes in appearance, color, contrast, and brightness. A wavelet transform is used to analyze the textures that are characterized by their energy distribution in each sub-band. We propose an integration of the autocorrelogram and wavelet based texture to improve the performance of the image retrieval system. Experimental results suggest that the proposed integration offers much better performance than using the features separately.

关键词： Digital images Image retrieval Image databases Histograms Spatial databases Wavelet transforms Feature extraction Indexing Content based retrieval Shape

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Detecting tremors in microelectrode recordings without using a spike detector

Detecting tremors in microelectrode recordings without using...

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

Tremor detection in extracellular neuronal recordings has required spike detection because tremors in extracellular neuronal recordings are caused by the fluctuation of action potential's firing rate. This work describes an automatic tremor detection algorithm of extracellular neuronal recordings without using a spike detector. The new algorithm is robust to noise and its performance is not affected by various morphologies of action potentials.

关键词： Microelectrodes Extracellular Fluctuations Pulse modulation Detectors Detection algorithms signal processing algorithms Frequency modulation Frequency estimation Algorithm design and analysis

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Power spectral density estimation and tracking nonstationary pressure signals based on Kalman filtering

Power spectral density estimation and tracking nonstationary...

引用

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

作者： M. Aboy J. McNames O.W. Marquez R. Hornero T. Thong B. Goldstein Signal Theory and Communications Dept ETSI-Telecomunicacion University of Vigo Spain Biomedical Signal Processing Laboratory Electrical and Computer Engineering Portland State University Portland USA Signal Theory and Communications Department ETSI-Telecomunicación University of Valladolid Spain Biomedical Engineering Department Oregon Health and Sciences University Portland USA Pediatrics Department Oregon Health and Sciences University Portland USA

We describe an algorithm to estimate and track slow changes in power spectral density (PSD) of nonstationary pressure signals. The algorithm is based on a Kalman filter that adaptively generates an estimate of the autoregressive model parameters at each time instant. The algorithm exhibits superior PSD tracking performance in nonstationary pressure signals than classical nonparametric methodologies, and does not assume a piecewise stationary model of the data. Furthermore, it provides better time-frequency resolution, and is robust to model mismatches. We demonstrate its usefulness by a sample application involving PSD estimation and tracking of short records of simulated pressure waveforms. This algorithm is intended for applications were the PSD must be estimated and tracked during short transient periods, possibly after clinical interventions.

关键词： Kalman filters signal resolution signal processing Frequency estimation signal processing algorithms signal analysis Filtering Biomedical engineering Autocorrelation Transient analysis

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The characterization of scanning noise and quantization on texture feature analysis

The characterization of scanning noise and quantization on t...

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IEEE Southwest Symposium on Image Analysis and Interpretation

作者： G. Martin M.S. Pattichis Image and video Processing and Communications Laboratory (ivPCL) Department of Electrical and Computes Engineering University of New Mexico Albuquerque NM USA Department of Computer Science University of Cyprus Cyprus

The study of the effects of scanning on texture features is of great interest to computer-based screening systems. A mathematical model is developed for understanding how the original image gets distorted due to the contrast variability and geometric distortion inherent in the scanning process. Both quantitative and qualitative results (for sixty common texture features) are given.

关键词： Quantization Testing Optical films Optical distortion Mathematical model Charge coupled devices Optical sensors Sensor arrays Quality control Biomedical optical imaging

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Discrimination and identification for subpixel targets in hyperspectral imagery

Discrimination and identification for subpixel targets in hy...

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IEEE International Conference on Image processing

作者： Chein-I Chang Weimin Liu Chein-Chi Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA Department of Civil and Environmental Engineering University of Maryland Baltimore MD USA

ISBN: (纸本)0780385543

Spectral measures have been used in material identification and discrimination. They are effective if the spectral signatures are calibrated and not contaminated. However, it may not be true in many real applications, specifically, for mixed pixels and subpixel targets. This paper investigates the issue of discrimination and identification for subpixel targets and further develops sample spectral covariance/correlation matrix-based hyperspectral measures to account for spectral variability within subpixel targets. Two types of measures are of interest and studied, Mahalanobis distance-based hyperspectral measures and matched filter-based hyperspectral measures. In order to substantiate the proposed measures, a real data-based comparative analysis is conducted and compared to two spectral similarity measures, spectral angle mapper (SAM) and spectral information divergence (SID) for performance evaluation. The experiments show that both Mahalanobis distance-based hyperspectral measures and matched filter-based hyperspectral measures work very effectively and outperformed the SAM and the SID in discrimination and identification for subpixel targets.

关键词： Hyperspectral imaging Pollution measurement Hyperspectral sensors Covariance matrix Matched filters Performance analysis Performance evaluation Remote sensing signal processing Image processing

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Distributed source localization algorithms for acoustic ad-hoc sensor networks

Distributed source localization algorithms for acoustic ad-h...

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Sensor Array and Multichannel signal processing Workshop

作者： T. Pham D.S. Scherber H.C. Papadopoulos Acoustic Signal Processing Branch US Army Research Laboratory Adelphi MD USA Electrical and Computer Engineering Department University of Maryland College Park MD USA Electrical and Computer Engineering Dept University of Maryland College Park MD USA

In this paper, we develop and evaluate distributed implementations of source localization estimators from energy-based measurements obtained via an ad-hoc network of acoustic sensors. The distributed locally constructed algorithms that we present produce at each node a sequence of estimates approximating a desired source localization algorithm. As our investigation reveals, the localization performance of these distributed algorithms depends on the type of desired localization algorithm, the network topology and the number of communication and fusion steps employed in these approximations.

关键词： Acoustic sensors Acoustic signal detection signal processing algorithms Ad hoc networks Network topology Wireless sensor networks Laboratories Acoustic measurements Military computing Surveillance

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Indoor MIMO channels: a parametric correlation model and experimental results

Indoor MIMO channels: a parametric correlation model and exp...

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IEEE Princeton Section Sarnoff Symposium

作者： Shuangquan Wang K. Raghukumar A. Abdi J. Wallace M. Jensen New Jersey Center for Wireless Telecommunications and Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA Marine Physical Laboratory Scripps Institution of Oceanography University of California San Diego San Diego CA USA Department of Electrical and Computer Engineering Brigham Young University Provo UT USA

Accurate modeling of indoor multiple-input multiple-output (MIMO) channels is an important prerequisite for multi-antenna system design. In this paper, a new model for indoor MIMO channels is proposed, and a closed-form expression for the spatio-temporal cross-correlation function between any two subchannels is derived. This new analytical correlation expression includes many key physical parameters of interest such as mean angle-of-departure at the transmitter and mean angle-of-arrival at the receiver, the associated angle spreads, the distance between transmitter and receiver, etc. in a compact form. Comparison of this model with channel correlations and capacity, using the collected indoor MIMO data, exhibits the utility of the model.

关键词： MIMO Mathematical model Scattering Radio transmitters Underwater communication signal processing Marine technology Laboratories Closed-form solution Channel capacity

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Progressive compression of 3D dynamic mesh sequences

Progressive compression of 3D dynamic mesh sequences

引用

IEEE International Conference on Image processing

作者： Jeong-Hyu Yang Chang-Su Kim Sang-Uk Lee Signal Processing Laboratory School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea Department of Information Engineering Chinese University of Hong Kong Sha Tin Hong Kong China

ISBN: (纸本)0780385543

An algorithm to compress 3D mesh sequences for dynamic objects is proposed in this work. Given an irregular mesh sequence, we construct a semi-regular mesh structure for the first frame and then map it to the subsequent frames bused on the hierarchical motion estimation. The regular structure of the resulting mesh sequence enables us to employ the zero-tree coding scheme to compress the motion compensation residuals efficiently. Simulation results demonstrate that the proposed algorithm provides significantly better compression performance than the static coder that encodes each frame independently.

关键词： Motion estimation Video coding Laser modes Image motion analysis Shape Geometry Tracking Topology Mesh generation

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Multiresolution automatic segmentation of T1-weighted brain MR images

Multiresolution automatic segmentation of T1-weighted brain ...

引用

IEEE International Symposium on Biomedical Imaging

作者： M. Zeydabadi R.A. Zoroofi H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA

Automatic segmentation of brain tissues is crucial to many medical imaging applications. We use a multi-resolution analysis and a power transform to extend the well-known Gaussian mixture model expectation maximization based algorithm for segmentation of white matter, gray matter, and cerebrospinal fluid from T1-weighted magnetic resonance images (MRI) of the brain. Experimental results with near 4000 synthetic and real images are included. The results illustrate that the proposed method outperforms six existing methods.

关键词： Image resolution Image segmentation Biomedical imaging Multiresolution analysis Image analysis Magnetic analysis Algorithm design and analysis Brain modeling Magnetic liquids Magnetic resonance

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