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检索条件"主题词=Detection algorithms"

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A simple real-time QRS detection algorithm utilizing curve-length concept with combined adaptive threshold for electrocardiogram signal classification

A simple real-time QRS detection algorithm utilizing curve-l...

引用

IEEE Region 10 International Conference TENCON

作者： Jacek Lewandowski Hisbel E. Arochena Raouf N. G. Naguib Kuo-Ming Chao Faculty of Engineering and Computing Coventry University Coventry UK

ISBN: (纸本)9781467348232

QRS detection is a standard procedure in electrocardiogram (ECG) signal classification and analysis. Although there is a large number of methods published, some featuring high accuracy, the problem remains open. This is especially true with respect to high accuracy QRS detection in noisy ECGs such as long-term Holter monitoring during normal daily activity. In this paper a robust real-time QRS detector for noisy applications is proposed. It exploits a modified curve-length concept with combined adaptive threshold derived by basic mean, standard deviation and average peak-to-peak interval. The method was tested using the MIT-BIH arrhythmia database with an observed detection accuracy of 99.70%, sensitivity of 99.86%, positive prediction of 99.84%, and an average failed detection of 0.30%. The proposed approach compares favourably with published results for other QRS detectors, and proves superior to those having constant and manually entered threshold parameters.

关键词： Electrocardiography Noise Transforms detection algorithms Standards Databases Accuracy

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Two-stage detection algorithm for RoQ attack based on localized periodicity analysis of traffic anomaly

Two-stage detection algorithm for RoQ attack based on locali...

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International Conference on Computer Communications and Networks (ICCCN)

作者： Kun Wen Jiahai Yang Fengjuan Cheng Chenxi Li Ziyu Wang Hui Yin Institute for the Network Sciences and Cyberspace Tsinghua University Beijing China College of Information Science and Engineering Henan University of Technology Zhengzhou China

ISBN: (纸本)9781479935734

Reduction of Quality (RoQ) attack is a stealthy denial of service attack. It can decrease or inhibit normal TCP flows in network. Victims are hard to perceive it as the final network throughput is decreasing instead of increasing during the attack. Therefore, the attack is strongly hidden and it is difficult to be detected by existing detection systems. Based on the principle of Time-Frequency analysis, we propose a two-stage detection algorithm which combines anomaly detection with misuse detection. In the first stage, we try to detect the potential anomaly by analyzing network traffic through Wavelet multiresolution analysis method. According to different time-domain characteristics, we locate the abrupt change points. In the second stage, we further analyze the local traffic around the abrupt change point. We extract the potential attack characteristics by autocorrelation analysis. By the two-stage detection, we can ultimately confirm whether the network is affected by the attack. Results of simulations and real network experiments demonstrate that our algorithm can detect RoQ attacks, with high accuracy and high efficiency.

关键词： detection algorithms Correlation Computer crime Algorithm design and analysis Multiresolution analysis

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Traffic incident detection algorithm based on non-parameter regression

Traffic incident detection algorithm based on non-parameter ...

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International Conference on Intelligent Transportation

作者： Tang Shuming Gong Xiaoyan Wang Feiyue Condidatc of Institute of Automation Chinese Academy and Sciences Beijing China University of Arizona Tucson Tucson AZ USA

We first describe the traffic congestion problem that many countries are facing with in the world. Then we propose a traffic incident detection algorithm based on non-parametric regression to solve the congestion problem. Finally, we compare the algorithm with other incident detection algorithms on the detection rate, false alarm rate and mean detection time. A simulation result shows the algorithm proposed has higher detection rate, lower false alarm rate and longer mean time detection. Furthermore, we state the direction of our next study.

关键词： detection algorithms Roads Transportation Automobiles Frequency USA Councils Delay effects Cities and towns Loss measurement Economic forecasting

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Non-coherent detection for orthogonal space-time coded CPM systems

Non-coherent detection for orthogonal space-time coded CPM s...

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IEEE International Workshop on Anti-counterfeiting, Security, Identification, ASID

作者： Wenli Shen Yanping Yu College of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou China

A non-coherent detection algorithm was proposed for orthogonal space-time coded multi-level continuous phase modulation (OST-MCPM) transmission systems of two transmit antennas, using a non-coherent maximum likelihood (ML) approach with different lengths of watch window. The noncoherent detection algorithm is suitable for any number of receive antennas and the receiver does not need to estimate the channel state information. Two suboptimal detectors of reduced complexity could be obtained through approximation and decision feedback. Simulation results show that the bit error rate (BER) performance degradation is very small compared with that of the coherent maximum likelihood sequence estimation (MLSE) algorithm over quasi-static flat Rayleigh fading channels and the performance is also satisfying when the watch window length is small enough over fast Rayleigh fading channels.

关键词： Fading Receiving antennas Transmitting antennas Bit error rate detection algorithms Encoding Maximum likelihood estimation

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Voice activity detection algorithm improvement in adaptive multi-rate speech coding of 3GPP

Voice activity detection algorithm improvement in adaptive m...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Zhang Liang Gao Ying-Chun Bian Zheng-Zhong Lu Chen School of Life Science and Technology Xi'an Jiaotong University Xi'an China Fourth Military Medical University Xi'an China

Aimed at the voice activity detection algorithm in adaptive multi-rate speech coding scheme of 3GPP, a novel and accurate speech activity detection algorithm was developed in this article. The new algorithm was simpler than original in performance and would bring the effect as good as the old one, especially superior to former algorithm in estimation of voice tail.

关键词： detection algorithms Speech coding Speech enhancement Mobile communication Wideband Background noise Telephony Space technology Bandwidth Noise reduction

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ECG QRS Complex detection Using Slope Vector Waveform (SVW) Algorithm

ECG QRS Complex Detection Using Slope Vector Waveform (SVW) ...

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

作者： Xiaomin Xu Ying Liu Department of Electronic and Computer Engineering University of Portsmouth UK

ISBN: (纸本)0780384393

This paper presents an algorithm using Slope Vector Waveform (SVW) for ECG QRS complex detection and RR interval evaluation. The algorithm consists two parts of operations. They are variable stage differentiation and non-linear amplification. Variable stage differentiation is used to obtain the desired slope vectors for feature extraction, and the non-linear amplification is used to improve signal-to-noise ratio Results show that, SVW provides excellent QRS detection even if the signals are contaminated with noises. The SVW algorithm is less computationally involved. This makes it ideal for a widely range of machine diagnosis applications, particularly, embedded real-time ECG monitoring.

关键词： Electrocardiography Low pass filters Feature extraction Signal to noise ratio Filter bank Wavelet analysis Application software detection algorithms Frequency Signal analysis

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Improved closed-loop detection and Octomap algorithm based on RGB-D SLAM

Improved closed-loop detection and Octomap algorithm based o...

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IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)

作者： Chungui Deng Xiaonan Luo Yanru Zhong School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China

ISBN: (数字)9781728170053

ISBN: (纸本)9781728170060

In order to solve the problems of the inaccuracy of RGB-D SLAM closed-loop and the map sparse outliers, this paper proposes an improved algorithm of Closed-loop detection and Octomap mapping. In the improved algorithm, the curvature of the robot's motion trajectory is combined with the cyclic closure detection algorithm to eliminate the difficulties of the front-end cumulative error to the back-end Closed-loop detection; in the aspect of map sparse outliers, in order to make the map more compact and easy to adjust, the two side confidence interval of Gaussian distribution is combined with statistical filtering to give the initial statistical value. We have done a series of experiments in the open TUM RGB-D data set. The memory and outliers of point cloud map are reduced by 11.4%, 11.3% respectively, and the memory and outliers of Octomap are reduced by 26.7%, 27.3% respectively, and the validity of accurate closed-loop is verified.

关键词： Three-dimensional displays Simultaneous localization and mapping Trajectory detection algorithms Optimization Cameras

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A Comparative Study of QRD-M detection and Sphere Decoding for MIMO-OFDM Systems

A Comparative Study of QRD-M Detection and Sphere Decoding f...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Yongmei Dai Sumei Sun Zhongding Lei Institute for Infocomm Research Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore

We present a comparative study of two tree search based detection algorithms, namely, the M-algorithm combined with QR decomposition (QRD-M) and the sphere decoding (SD) algorithms, for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. First, we show that nodes ordering before and during the tree search are important for both algorithms. With appropriate ordering, QRD-M can improve detection performance significantly and SD can reduce decoding complexity substantially. Then we compare the implementation complexity of the two algorithms, in terms of the number of nodes required to search or the required number of multiplications to achieve maximum likelihood detection performance. It is interesting to show that the average complexity of SD is lower than that of QRD-M, whereas the worst case complexity of SD is much higher than that of QRD-M

关键词： Maximum likelihood decoding Receiving antennas detection algorithms MIMO OFDM Maximum likelihood detection AWGN Matrix decomposition Transmitting antennas Scattering

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A fuzzy logic-based speech detection algorithm for communications in noisy environments

A fuzzy logic-based speech detection algorithm for communica...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： A. Cavallaro F. Beritelli S. Casale Istituto di Informatica e Telecomunicazioni Universita Catania Catania Italy

In the field of mobile communications correct voice activity detection (VAD) is a crucial point for perceived speech quality, reduction of co-channel interference, power consumption in portable equipment. This paper shows that a valid alternative to deal with the problem of activity decision is to use methodologies like fuzzy logic, which are suitable for problems requiring approximate rather than exact solutions, and which can be presented through descriptive or qualitative expressions. The fuzzy voice activity detector (FVAD) proposed uses the same set of parameters adopted by the VAD in Annex B to ITU-T G.729 and a set of six fuzzy rules automatically extracted through supervised learning. Objective and listening tests confirm a significative improvement respect the traditional methods above all for low signal-to-noise ratios.

关键词： Fuzzy logic Speech detection algorithms Mobile communication Fuzzy sets Interchannel interference Energy consumption Detectors Supervised learning Testing

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Automated detection of obstructive sleep-disordered breathing events using peripheral arterial tonometry and oximetry

Automated detection of obstructive sleep-disordered breathin...

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Computers in Cardiology (CinC)

作者： S.D. Pittman N. Tal G. Pillar A. Malhotra M.F. Hilton R.B. Fogel N. Ayas D.P. White Circadian Neuroendocrine Sleep Disorders Program Brigham Women's Hospital and Harvard Medical School Boston USA Itamar Medical Limited Caesarea Israel

Obstructive sleep-disordered breathing events terminate with increased sympathetic nervous system activity that may result in vasoconstriction. Peripheral arterial (PAT) is a non-invasive technique for detecting pulse volume, This study assessed the diagnostic potential of 2-channel recordings (PAT+pulse oximetry) to detect sleep-disordered breathing events and evaluated automated scoring of these respiratory events during known sleep. The authors studied 40 patients referred to the sleep lab with suspected OSA, comparing standard PSG with PAT+oximetry (all data recorded simultaneously). The PSG recordings were scored manually using standard criteria. Respiratory events were also scored using only recordings of PAT and pulse oximetry and an automated detection algorithm yielding a PAT-oximetry index (POI) of sleep disordered breathing. There was a significant correlation between PSG scored respiratory events and the automated POI score during all sleep (R=0.87, p<0.001), NREM sleep (R=0.87, p<0.001), anti REM sleep (R=0.90, p<0.001).

关键词： Event detection Sleep Immune system Fingers Medical diagnostic imaging Cardiology Hospitals USA Councils Sympathetic nervous system detection algorithms

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