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Method to characterize and classify atrial fibrillation based on kurtosis

Method to characterize and classify atrial fibrillation base...

引用

ieee international conference on Industrial Technology, ICIT 2016

作者： Oliveira, Alfredo Queiroz, Jonathan Araujo Lucena, Fausto Barros, Allan Kardec Biological Information Processing Laboratory Federal University of Maranhão São Luís - MA Brazil

ISBN: (纸本)9781467380751

Atrial fibrillation (AF) is the most common cardiac arrhythmias worldwide. So large are the efforts to implement systems that support the diagnosis of AF. Thus, some authors have attempted to characterize the signal with AF through statistical lower order, which require assumptions of linearity and gaussianity [1], [2]. To work around these assumptions, other authors use methodologies that require more preprocessing steps, complicating the implementation of such methodologies in embedded systems [3], [4]. Therefore, we propose to characterize and classify the signal with AF using the kurtosis. The great difference of this method is that instead of considering the irregularity of the RR time series [5], we consider the irregularities of the FA signal itself. Our methodology is based on kurtosis to be a statistic of high order (Papoulis and Pillai, 2002), due to the characteristic of the ECG signal to be sparse. The proposed methodology also requires small number of preprocessing steps, allowing implementations in embedded systems. To evaluate the proposed methodology, we use signals obtained from the MIT-BIH bases of Atrial Fibrillation data and MIT-BIH Normal Sinus Rhythm referring to patients with AF and with normal heart rhythm, respectively. The results present a specificity and a sensitivity of 94.44% and 78.95%, respectively and accuracy of 86.49%. © 2016 ieee.

关键词： Embedded systems

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On future development of autonomous systems: A report of the plenary panel at ieee ICAS'21

On future development of autonomous systems: A report of the...

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2021 ieee international conference on Autonomous systems, ICAS 2021

作者： Wang, Yingxu Pitas, Ioannis Plataniotis, Konstantinos N. Regazzoni, Carlo S. Sadler, Brian M. Roy-Chowdhury, Amit Hou, Ming Mohammadi, Arash Marcenaro, Lucio Atashzar, Farokh Alzahir, Saif University of Calgary AB Canada Greece University of Toronto ON Canada University of Genova Italy US Army Research Laboratory United States University of California RiversideCA United States Defence Research and Development Canada Toronto Canada Univ. of Concordia MontrealQC Canada New York University NY United States Univ. of Concordia MontrealQC Canada

ISBN: (纸本)9781728172897

Autonomous systems (AS) are perceived as the most advanced intelligent systems evolved from those of reflexive, imperative, and adaptive intelligence. A plenary panel on 'Future Development of Autonomous systems' is organized at the inaugural ieee ICAS'21. This paper reports the panel discussions about the-state-of-the-art and paradigms of AS, the basic research on theoretical foundations and mathematical means of AS, and challenges to the future development of AS. As an emerging and increasingly demanded field, AS provide an unprecedented approach to contemporary intelligent industries including deep machine learning, highly intelligent robotics, cognitive computers, general AI technologies, and industrial applications enabled by transdisciplinary advances in intelligence science, system science, brain science, cognitive science, robotics, computational intelligence, and intelligent mathematics. © 2021 ieee.

关键词： Cognitive systems

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Multi-receiver system for improved signal reception in spectrum monitoring

Multi-receiver system for improved signal reception in spect...

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2013 international conference on robotics, Biomimetics, intelligent Computational systems, ROBIONETICS 2013

作者： Markom, Marni Azira Adom, Abdul Hamid Mohd Muslim Tan, Erdy Sulino Sha'Ameri, Ahmad Zuri School of Mechatronic Engineering Universiti Malaysia Perlis 02600 Ulu Pauh Malaysia Digital Signal Processing Laboratory Universiti Teknologi Malaysia 86000 Skudai Johor Malaysia

ISBN: (纸本)9781479912087

In the communications field, many methods have been introduced in order to improve the quality of signal reception. This is because various parameters can limit the quality of signal reception such as multipath fading and interference that results the signal with low signal-to-noise ratio (SNR) or no signal reception. This paper presents a multi-receiver system to improve signal reception and classification accuracy in radio communication system. Three receivers were utilized and each consists of antenna system, radio frequency (RF) front-end and down-conversion, time-frequency analysis, parameter estimation and signal classification. Then, the signal classification results are combined to obtain the final decision which is implemented using triple modulo redundancy (TMR) majority voting algorithm. The system was tested using six modulation signals (ASK1, ASK2, ASK3, FSK1, FSK2 and FSK3) with 100 trials for SNR from 2dB to 20dB. The performance of single-receiver and multi-receiver system is compared in terms of classification accuracy. Results show that the multi-receiver system was able to achieve 80 percent accuracy at minimum SNR of 2dB and the accuracy increases as the SNR increased. © 2013 ieee.

关键词： signal to noise ratio

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ORBITAL system: Numerical evolution and first experimental results

ORBITAL system: Numerical evolution and first experimental r...

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ieee/RSJ international conference on intelligent Robots and systems

作者： Venet, T Capitaine, T Hamzaoui, M Mouaddib, M CREA Lab Insset St Quentin France

ISBN: (纸本)0780378601

We describe, in this paper, the hardware and software evolution of our "O.R.B.I.T.A.L system" (One Rotating Beacon for Information Transmission and Absolute Localization) [1]. The main advantage of this system is that it only need one active beacon for a complete localization of the mobile robot (2 Cartesian coordinates and the orientation). The receiver was made by an array of 6 large photodiodes (1cm) fixed on the vehicle. The active beacon is a rotating laser, fixed on a wall of the manoeuvring area, with vertical fine generation lens. This beacon includes an innovative laser modulation, based on a frequency variation which is a function of its absolute angular position. In the first part, we will make a short description of the first (analogical) version of the beacon and receiver and we will summarize the theoretical localization principle of this system. In the second part we will describe the problems generated by the use of analogue technology and will explain the solution brought by our new numerical version of the beacon. In the third part we will demonstrate how the numerical approach simplifies the calibration procedure and error estimation calculations. We will give the first results obtained in real conditions in the final part.

关键词： absolute localization mobile robot laser beam signal processing active beacon

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Employing negative examples in region-based image retrieval 4

Employing negative examples in region-based image retrieval

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Joint conference of the 4th international conference on Information, Communications and signal processing and 4th Pacific-Rim conference on Multimedia, ICICS-PCM 2003

作者： Jing, Feng Li, Mingjing Zhang, Hong-Jiang Zhang, Bo State Key Lab of Intelligent Technology and Systems Beijing100084 China Microsoft Research Asia 49 Zhichun Road Beijing100080 China

ISBN: (纸本)0780381858

In this paper, the integration of negative examples into an efficient region-based image retrieval framework is investigated. The outputs of a support vector machine that separates positive images from negative ones are used to refine the current retrieval result. Considering the speciality of region-based representation, a kind of new kernel is proposed, which is the generalization of Gaussian kernel. Experimental results on a database of 10,000 general-purpose images demonstrate the effectiveness of employing negative examples and the superiority of the new kernel to Gaussian kernel. © 2003 ieee.

关键词： Image retrieval

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Extracting gear fault features using integrated bispectrum

Extracting gear fault features using integrated bispectrum

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ieee international conference on robotics, intelligent systems and signal processing

作者： Guicai Zhang Ruxu Du Tielin Shi Department of Automation and Computer-Aided Engineering Chinese University of Hong Kong Sha Tin Hong Kong China School of Mechanical Science and Engineering HuaZhong University of Science and Technology Wuhan China

ISBN: (纸本)078037925X

Gear fault feature extraction using integrated bispectrum is investigated in this paper. Integrated bispectrum is a kind of 1-D higher order spectra, it is obtained by integrating out one of the two frequency variables of the bispectrum. Integrated bispectrum provides more of signal features than bispectrum slices do. Moreover, it is more convenient to use than all kinds of 1-D bispectrum slices. Experimental results show that integrated bispectrum is more effective than bispectrum slices in extracting mechanical fault features.

关键词： Gears Feature extraction Gaussian noise Biomedical signal processing signal to noise ratio Multidimensional signal processing Radar signal processing Vibrations Frequency Noise reduction

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Sound localization for humanoid robots -: Building audio-motor maps based on the HRTF

Sound localization for humanoid robots -: Building audio-mot...

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ieee/RSJ international conference on intelligent Robots and systems

作者： Hornstein, Jonas Lopes, Manuel Santos-Victor, Jose Lacerda, Francisco Inst Super Tecn Inst Syst Robot Lisbon Portugal Stockholm Univ Dept Linguist Stockholm Sweden

ISBN: (纸本)9781424402588

Being able to locate the origin of a sound is important-for our capability to interact with the environment. Humans can locate a sound source in both the horizontal and vertical plane with only two ears, using the head related transfer function HRTF, or more specifically features like interaural time difference ITD, interaural level difference ILD, and notches in the frequency spectra. In robotics notches have been left out since they are considered complex and difficult to use. As they are the main cue for humans' ability to estimate the elevation of the sound source this have to be compensated by adding more microphones or very large and asymmetric ears. In this paper, we present a novel method to extract the notches that makes it possible to accurately estimate the location of a sound source in both the horizontal and vertical plane using only two microphones and human-like ears. We suggest the use of simple spiral-shaped ears that has similar properties to the human ears and make it easy to calculate the position of the notches. Finally we show how the robot can learn its HRTF and build audiomotor maps using supervised learning and how it automatically can update its map using vision and compensate for changes in the HRTF due to changes to the ears or the environment.

关键词： Acoustic signal processing

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Robust source localization using decision-directed algorithm and confidence weights in Unattended Ground Sensors system

Robust source localization using decision-directed algorithm...

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2012 ieee international conference on Multisensor Fusion and Integration for intelligent systems, MFI 2012

作者： Levy, Uri Hemo, Evyatar RAFAEL Advanced Defense Systems LTD Haifa 31021 Israel

ISBN: (纸本)9781467325110

Seismic Unattended Ground Sensors (UGS) systems have a major role in the developing area of seismic signal processing, with applications mainly in security and surveillance systems. Identifying and localizing a potential threat is a preliminary requirement in such systems. Array processing based on measured time of arrivals or gain-ratio values is widely used for solving the localization problem. However, for real world seismic data, estimating time differences and gain-ratios of arrival is a difficult task, due to both the nature of sensors networks and of seismic signals. Sensors synchronization is a common difficulty in networks and the demand for low power consumption and transmission rates prevents solving it by cross-correlating the signals. High variations in sound velocity and background noise among different types of ground, which characterize the underground environment, are additional factors for these difficulties. Hence, applying direct localization algorithms on seismic data often proves ineffective. In this paper, a novel approach toward seismic source localization using UGS system is presented. Given an event of recurring nature, the proposed algorithm is based on two principles which increase its robustness. First, it utilizes both time differences and gain-ratios measurements in a decision directed process. In addition, confidence weights are assigned for each recurrence of the event thus further performance improvement is achieved. Results for applying the proposed algorithm on real-world seismic data are presented and the advantages of the proposed algorithm are demonstrated. © 2012 ieee.

关键词： Array processing

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Whole body manipulation

Whole body manipulation

引用

ieee international conference on robotics, intelligent systems and signal processing

作者： K. Harada M. Kaneko Intelligent Systems Institute National Institute of Advanced Industrial Science and Technology(AIST) Tsukuba JAPAN Graduate School of Engineering Hiroshima University Kagamiyama Higashi-Hiroshima JAPAN

This paper discusses the manipulation of an object by using the whole body of a human type robotic mechanism. To manipulate a big object placed on the floor, a human type robot pushes it. For this problem, we extend the internal force in grasping by a multi-fingered hand to the whole body manipulation by a humanoid robot and introduce the "whole body internal force". To exert the pushing force effectively onto the object, we obtain some conditions regarding the whole body internal force. We also obtain the region of the foot position enabling a robot to push an object without causing the slip.

关键词： Manipulator kinematics Legged locomotion

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An improved tactile matrix microsensor package 1

An improved tactile matrix microsensor package

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international conference on Physics and Control (PHYSCON 2003)

作者： Todorova, VD Mladenov, MT Tech Univ Gabrovo Dept Elect Gabrovo 5300 Bulgaria

ISBN: (纸本)078037939X

It is a fact that the most perspective tendency of the contemporary electronics is the development of intelligent systems of type, known as "artificial intellect". In line with the digital computing devices, very high importance has the information obtaining devices - sensors. The complex applying of many physical, chemical and even biological principles in the contemporary microsystem technologies makes the sensor systems near to the possibilities of the real biological receptors. The object of this paper is a specific tactile sensor type with matrix structure. In some papers [1 divided by 8], we considered the possibilities, the peculiarities and operating principle of the tactile matrix /TM/. In this paper is represented a suggestion for package construction corresponding to the exploitation requirements for this sensor class. The package is especially for a completely automated sensor system, which allows: an automatic identification of the tactile matrix;self-tuning to the changed sensor parameters (time degradation, outer influences and other);a possibility for using a neural network for signal processing in high resolution TM.

关键词： Artificial intelligence Biology computing Chemical and biological sensors Chemical technology Electronics packaging intelligent sensors intelligent systems Microsensors Sensor systems Tactile sensors

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