Search results for "signal processing"

showing 10 items of 2451 documents

Low-energy epicardial pacing in children: the benefit of autocapture.

1999

Abstract Background . Permanent cardiac pacing in children results commonly in augmented energy consumption because of the high pacing rates and the ample stimulation safety margin applied in children. Cardiovascular anatomy and limited venous access sometimes preclude the otherwise preferred endocardial approach. In this multicenter patient series, we studied the feasibility, safety, and energy saving obtained by a combination of steroid-eluting epicardial leads with autocapture devices capable of ongoing adjustment of the stimulation output to the prevailing threshold. Methods . Autocapture devices (Pacesetter Microny SR+ and Regency SR+; Pacesetter, Solna, Sweden) and steroid-eluting epi…

Pulmonary and Respiratory MedicineMalemedicine.medical_specialtyPacemaker ArtificialCardiac pacingEpicardial pacingSafety marginElectrocardiographyLow energyElectric Power SuppliesMicrocomputersInternal medicinemedicineHumansChildmedicine.diagnostic_testLife spanbusiness.industryInfantSignal Processing Computer-AssistedEquipment DesignVenous accessSurgeryElectrodes ImplantedEquipment Failure AnalysisChild PreschoolCardiologyFeasibility StudiesSurgeryFemaleCardiology and Cardiovascular MedicinebusinessElectrocardiographyPericardiumSoftwareEndocardiumThe Annals of thoracic surgery
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Measuring Heart Rate with a Heat Flux Sensor

2021

Different wearable biosignal measurement applications require minimally obtrusive and highly sensitive sensors and methods of transducing the heart pulse into an electric signal. At the same time, the sensors should have minimal power consumption and preferably provide information about more than just the heart rate. In this study, a method employing a heat flux sensor for recording the pulsatile cardiac component of an arterial pulse waveform is presented. The output signals of a conventional photoplethysmography (PPG) sensor and a heat flux sensor were recorded and compared with one another. The results show that a heat flux sensor can be used for measurement of heart pulse, in addition t…

Pulse (signal processing)business.industryAcousticsPhotoplethysmogramHeat flux sensorHeart ratePulsatile flowWearable computerWaveformMedicineBiosignalbusiness2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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On the Energy of Distributions, with Application to the Quaternionic Hopf Fibrations

2001

The energy of an oriented q-distribution ? in a compact oriented manifold M is defined to be the energy of the section of the Grassmannian manifold of oriented q-planes in M induced by ?. In the Grassmannian, the Sasaki metric is considered. We show here a condition for a distribution to be a critical point of the energy functional. In the spheres, we see that Hopf fibrations \(\) are critical points. Later, we prove the instability for these fibrations.

Pure mathematicsGeneral MathematicsMathematical analysisCritical point (mathematics)law.inventionSection (fiber bundle)Mathematics::Algebraic GeometrylawGrassmannianSPHERESMathematics::Differential GeometryMathematics::Symplectic GeometryManifold (fluid mechanics)Energy (signal processing)Distribution (differential geometry)Energy functionalMathematicsMonatshefte für Mathematik
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Quantization on the Virasoro group

1990

The quantization of the Virasoro group is carried out by means of a previously established group approach to quantization. We explicitly work out the two-cocycles on the Virasoro group as a preliminary step. In our scheme the carrier space for all the Virasoro representations is made out of polarized functions on the group manifold. It is proved that this space does not contain null vector states, even forc≦1, although it is not irreducible. The full reduction is achieved in a striaghtforward way by just taking a well defined invariant subspace ℋ(c, h), the orbit of the enveloping algebra through the vacuum, which is irreducible for any value ofc andh. ℋ(c, h) is a proper subspace of the sp…

Pure mathematicsGroup (mathematics)Quantization (signal processing)Invariant subspaceStatistical and Nonlinear Physics81S10ManifoldGroup representation17B68Algebra58F06Null vector81R10Algebra representation22E65Mathematical PhysicsSymplectic geometryMathematics
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On the interior regularity of weak solutions to the 2-D incompressible Euler equations

2016

We study whether some of the non-physical properties observed for weak solutions of the incompressible Euler equations can be ruled out by studying the vorticity formulation. Our main contribution is in developing an interior regularity method in the spirit of De Giorgi–Nash–Moser, showing that local weak solutions are exponentially integrable, uniformly in time, under minimal integrability conditions. This is a Serrin-type interior regularity result $$\begin{aligned} u \in L_\mathrm{loc}^{2+\varepsilon }(\Omega _T) \implies \mathrm{local\ regularity} \end{aligned}$$ for weak solutions in the energy space $$L_t^\infty L_x^2$$ , satisfying appropriate vorticity estimates. We also obtain impr…

Pure mathematicsIntegrable systemDimension (graph theory)Mathematics::Analysis of PDEsContext (language use)yhtälötSpace (mathematics)01 natural sciencessymbols.namesakeMathematics - Analysis of PDEs35Q31 (Primary) 76B03 35B65 35Q30 (Secondary)weak solutions0103 physical sciencesinterior regularityBoundary value problem0101 mathematicsMathematicsmatematiikkaApplied Mathematics010102 general mathematicsVorticityEuler equationsEuler equationssymbols010307 mathematical physicsAnalysisEnergy (signal processing)Calculus of Variations and Partial Differential Equations
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Biorthogonal Wavelet Transforms Originating from Discrete and Discrete-Time Splines

2018

This chapter describes how to generate families of biorthogonal wavelet transforms in spaces of periodic signals using prediction p-filters originating from discrete-time and discrete splines. The transforms are generated by the lifting scheme (Sweldens (Wavelet applications in signal and image processing III, vol 2569, 1995, [7]), Sweldens (Appl Comput Harmon Anal 3:186–200, 1996, [8]), Sweldens (SIAM J Math Anal 29:511–546, 1997, [9]), see also Sect. 7.1 of this volume). The discrete-time wavelets related to those transforms are (anti)symmetric, well localized in time domain and have flat spectra. These families comprise wavelets with any number of local discrete vanishing moments (LDVMs)…

Pure mathematicsWaveletLifting schemeDiscrete time and continuous timeFast Fourier transformImage processingFilter (signal processing)Time domainBiorthogonal waveletMathematics
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Quantum walk on the line through potential barriers

2015

Quantum walks are well-known for their ballistic dispersion, traveling $\Theta(t)$ away in $t$ steps, which is quadratically faster than a classical random walk's diffusive spreading. In physical implementations of the walk, however, the particle may need to tunnel through a potential barrier to hop, and a naive calculation suggests this could eliminate the ballistic transport. We show by explicit calculation, however, that such a loss does not occur. Rather, the $\Theta(t)$ dispersion is retained, with only the coefficient changing, which additionally gives a way to detect and quantify the hopping errors in experiments.

Quadratic growthPhysicsQuantum PhysicsFOS: Physical sciencesStatistical and Nonlinear PhysicsCondensed Matter::Mesoscopic Systems and Quantum Hall EffectRandom walk01 natural sciences010305 fluids & plasmasTheoretical Computer ScienceElectronic Optical and Magnetic MaterialsModeling and SimulationBallistic conduction0103 physical sciencesSignal ProcessingLine (geometry)Dispersion (optics)Rectangular potential barrierQuantum walkStatistical physicsElectrical and Electronic EngineeringQuantum Physics (quant-ph)010306 general physicsQuantum Information Processing
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An Application of Spike-Timing-Dependent Plasticity to Readout Circuit for Liquid State Machine

2007

Liquid state machine (LSM) is a neural system based on spiking neurons that implements a mapping between functions of time. A typical application of LSM is classification of time functions obtained observing the state of the liquid by using a memoryless readout circuit, usually implemented by a linear perceptron. Due to the high number of neurons in the liquid the training of the readout is difficult. In this paper we show that using the Spike-Timing-Dependent Plasticity (STDP) a single neuron with short training session can be used to recognize the state of the liquid due to an input signal. Using STDP it is possible to identify the spikes timing of the neurons in the liquid and this allow…

Quantitative Biology::Neurons and CognitionArtificial neural networkSpike-timing-dependent plasticitybusiness.industryComputer scienceLiquid state machineNoise (signal processing)PerceptronSignalmedicine.anatomical_structureSPike neural netwroksmedicineArtificial intelligenceNeuronState (computer science)businessAlgorithm
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Improved moment scaling estimation for multifractal signals

2018

A fundamental problem in the analysis of multifractal processes is to estimate the scaling exponent K(q) of moments of different order q from data. Conventional estimators use the empirical moments μ^[subscript r][superscript q]=⟨ | ε[subscript r](τ)|[superscript q]⟩ of wavelet coefficients ε[subscript r](τ), where τ is location and r is resolution. For stationary measures one usually considers "wavelets of order 0" (averages), whereas for functions with multifractal increments one must use wavelets of order at least 1. One obtains K^(q) as the slope of log(μ^[subscript r][superscript q]) against log(r) over a range of r. Negative moments are sensitive to measurement noise and quantization.…

Quantization (signal processing)lcsh:QC801-809Mathematical analysisEstimatorMultifractal systemlcsh:QC1-999Maxima and minimaMoment (mathematics)lcsh:Geophysics. Cosmic physicsWaveletStatisticsExponentlcsh:Qlcsh:ScienceScalinglcsh:PhysicsMathematicsNonlinear Processes in Geophysics
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Searching for exceptional points and inspecting non-contractivity of trace distance in (anti-) PT -symmetric systems

2022

Non-Hermitian systems with parity-time ($\mathcal{PT}$) symmetry and anti-$\mathcal{PT}$ symmetry give rise to exceptional points (EPs) with intriguing properties related to, e.g., chiral transport and enhanced sensitivity, due to the coalescence of eigenvectors. In this paper, we propose a powerful and easily computable tool, based on the Hilbert-Schmidt speed (HSS), which does not require the diagonalization of the evolved density matrix, to detect exactly the EPs and hence the critical behavior of the (anti-)$\mathcal{PT}\!-$symmetric systems, especially high-dimensional ones. Our theoretical predictions, made without the need for modification of the Hilbert space, which is performed by …

Quantum PhysicsHilbert–Schmidt speedModeling and SimulationNon-Hermitian systemsSignal ProcessingFOS: Physical sciencesStatistical and Nonlinear PhysicsElectrical and Electronic EngineeringQuantum Fisher informationQuantum Physics (quant-ph)Settore FIS/03 - Fisica Della MateriaTheoretical Computer ScienceElectronic Optical and Magnetic Materials
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