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检索条件"主题词=detection algorithms"

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Atrial Fibrillation detection by a subcutaneous monitoring device

Atrial Fibrillation detection by a subcutaneous monitoring d...

引用

Computers in Cardiology (CinC)

作者： G. Hindricks M. Taborsky P. Wohlgemuth G. Rieger F. Beckers B. Albers Herzzentrum Leipzig Leipzig Germany Na Homolce Hospital Prague Czech Republic Medtronic SQDM Arnhem Netherlands

The Reveal XT subcutaneous insertable cardiac monitor detects Atrial Fibrillation (AF) from the irregularity of the ventricular rhythm. This study is a first assessment of the AF detection performance using subcutaneous signals from implanted devices. Patients implanted with a Reveal XT device were monitored by a dedicated Holter system, recording the surface ECG and uplinked device data. Device detections of AF were reconstructed from the uplinked data and classified as either true positive, false positive and false negative using the surface ECG for reference. In a total of 82 Holter recordings from 60 patients, the mean AF episode detection sensitivity was 90.6% and 98.1% for AF episodes ges2 minutes and ges4 minutes, respectively. The mean episode PPV was 55.1%. False positive detections were clustered within a few patients with irregular rhythms that were not annotated as AF.

关键词： Atrial fibrillation Rhythm Patient monitoring Electrocardiography Surface reconstruction Databases Electrodes Noise level detection algorithms Measurement

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Application of advanced signal processing methods for accurate detection of voltage dips

Application of advanced signal processing methods for accura...

引用

International Conference on Harmonics and Quality of Power

作者： H. Amaris C. Alvarez M. Alonso D. Florez T. Lobos P. Janik J. Rezmer Z. Waclawek Carlos ill University of Madrid Madrid Spain Wroclaw University of Technology Wroclaw Poland

Custom Power Devices like the dynamic voltage restorer have been applied for voltage dip mitigation in the last years. These electronic equipments need fast and reliable voltage dip detection algorithms. Such detection methodologies must be able to detect a voltage dip as fast as possible and be immune to other types of perturbations. In this paper we address the problem of voltage dip estimation by using different advanced signal processing methods such as Kalman filtering, Fourier based algorithms and Wavelet processing. The three algorithms have been tested under different conditions: voltage dip with phase jump, noise, frequency variations. The final implementation on a Texas Instrument DSP TMS320F2812DSP has been done.

关键词： Signal processing Voltage fluctuations Signal processing algorithms Signal restoration Electronic equipment detection algorithms Kalman filters Filtering algorithms Testing Phase noise

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Optimum zero-forcing detection of a Modified V-BLAST System with delay offsets

Optimum zero-forcing detection of a Modified V-BLAST System ...

引用

International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Huajiong Lin Youxi Tang Ke Sun Kai Deng Shihai Shao National Key Laboratory of Communications University of Electronic Science and Technology Chengdu China

A modified Vertical-Bell Labs layered space-time (V-BLAST) system has been proposed in [1], where different delay offsets are intentionally applied to the spatially multiplexed data streams. Compared with the conventional synchronous V-BLAST system, the modified system can achieve M r thorder diversity using zero-forcing(ZF) detection (where M r is the number of receive antennas), therefore giving a reasonable tradeoff between complexity and performance. However, it is possible that there exist many detection algorithms under ZF criterion and we have no knowledge of whether the ZF detection algorithm used in [1] is the optimum among them. For this reason, this paper focus on how to find the optimum ZF detection of the modified V-BLAST systems. Both Analysis and simulation demonstrate that the optimum ZF detection is superior to the ZF detection algorithm used in [1], especially when the number of transmit antennas is large.

关键词： Delay detection algorithms Receiving antennas Transmitting antennas Antennas MIMO Wireless communication

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Efficient all-zero block detection algorithm for H.264 integer transform

Efficient all-zero block detection algorithm for H.264 integ...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Tianxiao Ye Yap-Peng Tan Ping Xue School of Electrical and Electronic Engineering Nanyang Technological University Singapore

A maximum magnitude probability (MMP) model is introduced in this paper to study contributions of individual DCT coefficient to the all-zero block (AZB) detection. Based on the MMP model, an efficient AZB detection algorithm is proposed to reduce the overall computation complexity. The new method is further combined with a recently published multi-threshold method [6] to achieve an adaptive detection of all-zero DCT sub-blocks. Experiment results show that the proposed algorithm can achieve a remarkable reduction of computational complexity from the original H.264 encoder with minor PSNR loss. Some comparison with similar lossy encoding schemes is also presented.

关键词： detection algorithms Discrete cosine transforms Quadratic programming Quantization PSNR Sufficient conditions Moon Computational complexity Encoding Mathematical model

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Open/Closed Eye Analysis for Drowsiness detection

Open/Closed Eye Analysis for Drowsiness Detection

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Workshops on Image Processing Theory, Tools and Applications, IPTA

作者： Pooneh. R. Tabrizi Reza. A. Zoroofi Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

Drowsiness detection is vital in preventing traffic accidents. Eye state analysis - detecting whether the eye is open or closed - is critical step for drowsiness detection. In this paper, we propose an easy algorithm for pupil center and iris boundary localization and a new algorithm for eye state analysis, which we incorporate into a four step system for drowsiness detection: face detection, eye detection, eye state analysis, and drowsy decision. This new system requires no training data at any step or special cameras. Our eye detection algorithm uses Eye Map, thus achieving excellent pupil center and iris boundary localization results on the IMM database. Our novel eye state analysis algorithm detects eye state using the saturation (S) channel of the HSV color space. We analyze our eye state analysis algorithm using five video sequences and show superior results compared to the common technique based on distance between eyelids.

关键词： Algorithm design and analysis Face detection Iris Road accidents Training data Cameras detection algorithms Databases Color Video sequences

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Improved impulse detection in power line communication systems

Improved impulse detection in power line communication syste...

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IEEE International Symposium on Power Line Communications and Its Applications (ISPLC)

作者： Kyoungnam Seo Haniph Latchman Kaywan H. Afkhamie Department Electrical and Computer Engineering University of Florida Gainesville FL USA Intellon Corporation Ocala FL USA

Impulse noise is generated by many house hold appliances that are attached to the electrical network. Its presence is often detrimental to the performance of a power line communication system, causing PHY throughput degradation in the order of 30-50%. The goal of impulse noise mitigation is to improve the SNR of the received signal by means of signal processing tools. In this work we focus on optimizing the detection of impulsive noises. A new method is developed for the setting of the detection threshold, that is both efficiently computed (in an iterative manner), and performs well in various impulsive noise conditions. Once impulses are detected they are removed from the received waveform by applying simple windowing mechanisms. To evaluate different impulse detection algorithms we test them against real life (impulsive) noise waveforms that have been captured on the power line. The selected algorithm is further validated on the power line against realtime captures of impulse noise impeded signals.

关键词： Power line communications Signal processing Noise generators Home appliances Physical layer Throughput Degradation Signal to noise ratio Iterative methods detection algorithms

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Discrimination of Insoluble-Carbohydrate Binding Proteins and Their Binding Sites Using a 3D Motif detection Method

Discrimination of Insoluble-Carbohydrate Binding Proteins an...

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Andrew C. Doxey Zhenyu Cheng Brendan J. McConkey Department of Biology University of Waterloo Waterloo ONT Canada

We apply a 3D motif detection approach to insoluble-carbohydrate binding modules (CBMs), a class of proteins that share a common binding activity but lack a common sequence motif or fold. Key features of insoluble-carbohydrate binding sites were incorporated into a 3D motif detection algorithm, and used in a linear discriminant analysis. Our method effectively discriminated all known type A CBMs from a non-redundant structural dataset and correctly detected known binding sites without any false positives. The algorithm was used to screen a structural database of homology-modeled proteins from tobacco, and the results were experimentally validated using an affinity purification assay and mass spectrometric protein identification. The algorithm correctly predicted CBMs and binding sites not included in the training set, and predicted a previously unknown binding site in the PR-5d protein family. This work highlights the potential of 3D motif detection methods for use in large-scale functional annotation.

关键词： Proteins Amino acids Bioinformatics detection algorithms Sequences Databases Purification Mass spectroscopy Prediction algorithms Crystallization

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A Method for Fast Shot Boundary detection Based on SVM

A Method for Fast Shot Boundary Detection Based on SVM

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Congress on Image and Signal Processing, CISP

作者： Xue Ling Ouyang Yuanxin Li Huan Xiong Zhang Beihang University Beijing China

An algorithm for fast shot boundary detection based on SVM (Support Vector Machine) is proposed. In this algorithm, smooth intervals inside shots are first eliminated from the original video frame sequence. During this process, a gray variance sequence is extracted and serves as the basis for the detection of smooth intervals. Then a new frame sequence named RFS (Reordered Frame Sequence) is formed. Video features such as intensity pixel-wise difference, color histogram differences in HSV space and edge histogram differences in X and Y direction are extracted from RFS. These features are presented as input vectors to the SVM to implement the cut detection. After the cut detection, temporal multi-resolution is applied to frames in RFS to fulfill the gradual change detection. Experimental results show that the proposed algorithm can implement the real-time shot boundary detection, while guarantee the performance.

关键词： Gunshot detection systems Support vector machines Histograms Signal processing algorithms Video sequences Change detection algorithms Video compression detection algorithms Signal resolution Displays

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An accurate algorithm for head detection based on XYZ and HSV hair and skin color models

An accurate algorithm for head detection based on XYZ and HS...

引用

IEEE International Conference on Image Processing

作者： Zui Zhang Hatice Gunes Massimo Piccardi Faculty of Information Technology University of Technology Sydney Australia

Head detection in images and videos plays an important role in a wide range of computer vision and multimedia applications. In this paper, we propose a new head detection algorithm that is capable of handling significantly variable conditions in terms of viewpoint (i.e. frontal, profile, back view, from -180 degrees to +180 degrees), tilt angle (i.e. from horizontal to aerial), scale and resolution. To this aim, we built a new model for the head based on appearance distributions and shape constraints. The appearance distribution models the colors of hair and skin by sets of Gaussian mixtures in the XYZ and HSV color spaces. The shape constraint fits an elliptical model to the candidate region and compares its parameters with priors based on the human anatomy. This presents a pixel-level measurement of accuracy for the proposed algorithm both prior and after applying the spatial constraints referenced by the elliptical model. The excellent accuracy at both levels confirms the accuracy of the appearance model and the appropriateness of the spatial and topological process.

关键词： Hair Skin Head Face detection Colored noise Humans Videos Application software Shape detection algorithms

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Automated Facial Feature detection from Portrait and Range Images

Automated Facial Feature Detection from Portrait and Range I...

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IEEE Southwest Symposium on Image Analysis and Interpretation

作者： Sina Jahanbin Alan C. Bovik Hyohoon Choi Department of Electrical and Computer Engineering University of Texas Austin USA Computer Vision Research Laboratory Sealed Air Corporation San Jose USA

ISBN: (纸本)9781424422968;1424422965

We propose a novel technique to detect feature points from portrait and range representations of the face. In this technique, the appearance of each feature point is encoded using a set of Gabor wavelet responses extracted at multiple orientations and spatial frequencies. A vector of Gabor coefficients, called a jet, is computed at each pixel in the search window on a fiducial and compared with a set of jets, called a bunch, collected from a set of training data on the same type of fiducial. The desired feature point is located at the pixel whose jet is the most similar to the training bunch. This is the first time that Gabor wavelet responses were used to detect facial landmarks from range images. This method was tested on 1146 pairs of range and portrait images and high detection accuracies are achieved using a small number of training images. It is shown that co-localization using Gabor jets on range and portrait images resulted in better accuracy than using any single image modality. The obtained accuracies are competitive to that of other techniques in the literature.

关键词： Facial features Face detection Computer vision Face recognition Shape Nose Active appearance model Data mining Robustness detection algorithms

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