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ECG data compression using Jacobi polynomials

ECG data compression using Jacobi polynomials

引用

29th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Tchiotsop, Daniel Wolf, Didier Louis-Dorr, Valerie Husson, Rene Univ Dschang IUT FOTSO Victor Dept Elect Engn Dschang Cameroon Inst Natl Polytech Lorraine INPL Ctr Rech Automat Nancy CRAN Ingn Pour Sante IPS Team Nancy France IPS CRAN INPL Nancy France

ISBN: (纸本)9781424407873

data compression is a frequent signal processing operation applied to ECG. We present here a method of ECG data compression utilizing Jacobi polynomials. ECG signals are first divided into blocks that match with cardiac cycles before being decomposed in Jacobi polynomials bases. Gauss quadratures mechanism for numerical integration is used to compute Jacobi transforms coefficients. Coefficients of small values are discarded in the reconstruction stage. For experimental purposes, we chose height families of Jacobi polynomials. Various segmentation approaches were considered. We elaborated an efficient strategy to cancel boundary effects. We obtained interesting results compared with ECG compression by wavelet decomposition methods. Some propositions are suggested to improve the results.

关键词： data compression

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A standalone programmable signal processing unit for versatile characterization of MEMS gyroscopes

A standalone programmable signal processing unit for versati...

引用

6th IEEE Sensors conference

作者： Trusov, Alexander A. Chepurko, Ilya Schofield, Adam R. Shkel, Andrei M. Univ Calif Irvine MicroSyst Lab Mech & Aerosp Engn Dept Irvine CA 92717 USA

ISBN: (纸本)9781424412617

this paper reports a stand-alone signal processing and control unit designed to provide flexible characterization of MEMS vibratory gyroscopes. the unit consists of a programmable 32-bit 150 MIPS DSP controller, 16-bit 1 MSPS digital-to-analog and 18-bit analog-to-digital interface circuits, and signal conditioning electronics. the multi-channel analog-to-digital interface is optimized for detection of small electrical signals typical for MEMS devices. Digitally controlled conditioning of analog signals allows for high-resolution differential digitization of a wide range of detection signals. the digital-to-analog interface circuit produces a wide range of DC and AC voltages needed for actuation and detection in gyroscopes;a single 5 V supply is used to power the board. the DSP controller allows easy MATLAB/Simulink programming and execution-time data exchange. Performance of the board was experimentally characterized using an anti-phase driven rate gyroscope with multi-degree of freedom sense mode. Using 16-bit conversion, the measured capacitance-change equivalent resolution is 27 aF/root Hz. Due to its flexible architecture, the unit is easily customizable for stand-alone and computer controlled operation of a variety of dynamic MEMS.

关键词： Degrees of freedom (mechanics)

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Occlusion removal in video microscopy

Occlusion removal in video microscopy

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12th International conference on Computer Analysis of Images and Patterns, CAIP 2007

作者： Eastwood, Brian Taylor II, Russell M. University of North Carolina at Chapel Hill Department of Computer Science Chapel Hill NC 27599-3175 United States

ISBN: (纸本)9783540742715

Video microscopy offers researchers a method to observe small-scale dynamic processes. It is often useful to remove unchanging portions of image sequences to improve the perception and analysis of moving features. We propose two processing methods (a local method and a global method) for detecting and removing partial stationary occlusions from video microscopy data using the bright-field microscope image model. In both techniques, we compute the relative light transmission across the image plane due to fixed, partially-transparent objects. the resulting transmission map enables reconstruction of a video in which the occlusions have been removed. We present experimental results that compare the effectiveness and applicability of our two approaches. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Video signal processing

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A noise reference input to an adaptive filter algorithm for signal processing in a wearable pulse oximeter

A noise reference input to an adaptive filter algorithm for ...

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IEEE 33rd Annual Northeast Bioengineering conference

作者： Cointois, G. Mendelson, Y. Worcester Polytech Inst Dept Biomed Engn Worcester MA 01609 USA

ISBN: (纸本)9781424410323

A wearable battery-operated pulse oximeter has been developed for rapid field triage applications. the wearable system comprises three units: a small (phi = 22mm) and lightweight (4.5g) reflectance-mode optical sensor module (SM), a receiver module (RM), and Personal Digital Assistant (PDA). the information acquired by the forehead-mounted SM is transmitted wirelessly via a RF link to the waist-worn RM which processes the data and transmits it wirelessly to the PDA. Since photoplethysmographic (PPG)-based measurements, which are used by the pulse oximeter to determine arterial oxygen saturation (SPO2) and heart rate (HR), can be degraded significantly during motion, the implementation of a reliable pulse oximeter for field applications requires sophisticated noise rejection algorithms. To minimize the effects of motion artifacts, which can lead to measurement dropouts, inaccurate readings and false alarms, a 16(th)-order, least-mean squares (LMS), adaptive noise canceling (ANC) algorithm was implemented off-line in Matlab to process the PPG signals. this algorithm was selected because its computational requirement is comparable to a finite impulse response filter. Filter parameters were optimized for computational speed and measurement accuracy. A tri-axial MEMS accelerometer (ACC) served as a noise reference input to the ANC algorithm.

关键词： Adaptive filters

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PHD filters of second order in target number

PHD filters of second order in target number

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18th conference on signal and data processing of small targets

作者： Mahler, Ronald Lockheed Martin MS2 Tact Syst Eagan MN USA

ISBN: (纸本)0819462926

the multitarget recursive Bayes nonlinear filter is the theoretically optimal approach to multisensor-multitarget detection, tracking, and identification. For applications in which this filter is appropriate, it is likely to be tractable for only a small number of targets. In earlier papers we derived closed-form equations for an approximation of this filter based on propagation of a first-order multitarget moment called the probability hypothesis density (PHD). In a recent paper, Erdinc, Willett, and Bar-Shalom argued for the need for a PHD-type filter which remains first-order in the states of individual targets, but which is higher-order in target number. In an earlier paper at this conference we derived a closed-form cardinalized PHD (CPHD) filter, which propagates not only the PHD but also the entire probability distribution on target number. Since the CPHD filter has computational complexity O(m(3)) in the number m of measurements, additional approximation is desirable. In this paper we discuss a second-order approximation called the "binomial filter."

关键词： Digital filtering Nonlinear filtering Sensors Target detection Electroactive polymers Filtering (signal processing) Motion models Picosecond phenomena Electronic filtering Linear filtering

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Peak inspecting and signal recovery methods based on triple correlation - art. no. 623608

Peak inspecting and signal recovery methods based on triple ...

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18th conference on signal and data processing of small targets

作者： Cao Hanqiang Li Xutao Chen Rujun Wei Jiaxin Cao Chao Huazhong Univ Sci & Technol Dept Elec & Info Eng Wuhan 430074 Peoples R China

ISBN: (纸本)0819462926

Weak target inspecting and recovering are very important in IR detecting systems. In this paper, triple correlation peak inspecting techniques(TCPIT) are adopted for the signal processing of IR systems in detecting sub-pixel or point targets. Investigations show that the signal-to-noise ratio (SNR) improvement of approximate 23dB can be obtained with the input peak SNR of 0.84 and the input power SNR of -0.93dB. the triple correlation overlapping sampling technique(TCOST) is advanced for restoring signal waveforms of IR detection systems. Investigations show that signal waveforms can effectively be restored in the low signal-to-noise ratio circumstances using this approach.

关键词： triple correlation weak signal inspecting detection of point target IR detecting system

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Comparison of tracklet methods with deterministic dynamics and false signals - art. no. 62360Z

Comparison of tracklet methods with deterministic dynamics a...

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18th conference on signal and data processing of small targets

作者： Drummond, Oliver E. Dana-Bashian, David CyberRnD Inc Culver City CA 90230 USA

ISBN: (纸本)0819462926

Track fusion processing is complicated because the estimation errors of a local track and a fusion track for the same target are usually cross-correlated. If these errors are cross-correlated, that should be taken into account when designing the data association processing and the filter used to combine the track data. An approach to dealing with this cross-correlation is to use tracklets. One of the important issues in tracklet fusion performance is whether the dynamics are deterministic, e.g., no filter process noise and no target maneuver. A number of different tracklet methods have been designed. this paper presents a comparison a tracklets-from-tracks approach to a tracklets-from-measurements approach. Tracklet fusion performance is also compared to centralized measurement fusion performance. the emphasis is on performance with targets that exhibit deterministic dynamics and the possibility of measurements caused by false signals.

关键词： target tracking multiple sensor tracking track fusion multiple target tracking sensor data fusion Bayesian methods tracklet distributed tracking estimation and filtering

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Fixed-lag sequential Monte Carlo data association

Fixed-lag sequential Monte Carlo data association

引用

18th conference on signal and data processing of small targets

作者： Briers, Mark Doucet, Arnaud Maskell, Simon R. Horridge, Paul R. QinetiQ Ltd. (United Kingdom) Cambridge Univ. (United Kingdom) The Univ. of British Columbia (Canada)

ISBN: (纸本)0819462926

the use of multiple scans of data to improve ones ability to improve target tracking performance is widespread in the tracking literature. In this paper, we introduce a novel application of a recent innovation in the SMC literature that uses multiple scans of data to improve the stochastic approximation (and so the data association ability) of a multiple target Sequential Monte Carlo based tracking system. Such an improvement is achieved by resimulating sampled variates over a fixed-lag time window by artificially extending the space of the target distribution. In doing so, the stochastic approximation is improved and so the data association ambiguity is more readily resolved.

关键词： particle filter Sequential Monte Carlo Multi-target tracking fixed-lag data association out-of-sequence measurements

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Polarization-spectrum signatures of above-water and surface targets

Polarization-spectrum signatures of above-water and surface ...

引用

16th International conference on Microwaves, Radar and Wireless Communications, MIKON 2006

作者： Lutsenko, V.I. Popov, I.V. Khlopov, G.I. Khomenko, S.I. Usikov Institute of Radiophysics and Electronics National Academy of Sciences of Ukraine 12 Akademika Proskury Kharkov - 61085 Ukraine

ISBN: (纸本)9788390666280

the results of experimental study of backscatter spectral - polarization features from above-water and surface objects are presented. Investigations were carried out with coherent systems both with the pulse and CW modes of millimeter and centimeter wave bands (from lOsm to 2mm). the informative features are concerned with modulation both the amplitude and Doppler translation are condition on modulation of scattered signal at the stroke rate for the oared boat and the frequency modulation concerned with hands and lags move of moving man as well are ascertained. For the scattering from the object body the small level of depolarization factor of the scattered signal is typical. Ascertained that for the coincident by frequency spectral components of the signal scattered from the objects on orthogonal polarizations the high values of cross correlation factor is typical.

关键词： Backscattering

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Joint detection and tracking of unresolved targets with a joint-bin processing monopulse radar - art. no. 62360T

Joint detection and tracking of unresolved targets with a jo...

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18th conference on signal and data processing of small targets

作者： Nandakumaran, N. Sinha, A. Kirubarajan, T. McMaster Univ ETFLab Dept Elect & Comp Engn Hamilton ON Canada

ISBN: (纸本)0819462926

Detection and estimation of multiple unresolved targets with a monopulse radar is limited by the availability of information in monopulse signals. the maximum possible number of targets that can be extracted from the monopulse signals of a single bin is two. Recently two approaches have been proposed in the literature to overcome this limitation. the first is joint-bin processing that exploits target spill-over among adjacent cells by modeling the target returns in the adjacent cells. In addition to making use of the additional information available in target spill-over, it handles a more practical problem where the usual assumption of ideal sampling is relaxed. the second approach is to make use of tracking information in detection through joint detection and tracking with the help of Monte Carlo integration of a particle filter. It was shown that the extraction of even more targets is possible with tracking information. In this paper, a new approach is proposed to combine make the best of these two approaches - a new joint detection and tracking algorithm with multibin processing. the proposed method increases the detection ability as well as tracking accuracy. Simulation studies are carried out. with amplitude comparison monopulse radar for an unresolved target scenario. the relative performances of various methods are also provided.

关键词： U nresolved targets closely-spaced targets monopulse radar multitarget tracking particle filters joint-bin processing

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