Search Results - "MCSHARRY, P. E"

Mathematical and computational techniques to deduce complex biochemical reaction mechanisms by Crampin, E.J., Schnell, S., McSharry, P.E.

“…Time series data can now be routinely collected for biochemical reaction pathways, and recently, several methods have been proposed to infer reaction…”
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Testing the assumptions of linear prediction analysis in normal vowels by LITTLE, M. A, MCSHARRY, P. E, MOROZ, I. M, ROBERTS, S. J

“…In this paper we develop an improved surrogate data test to show experimental evidence, for all the simple vowels of U.S. English, for both male and female…”
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Linear and non-linear methods for automatic seizure detection in scalp electro-encephalogram recordings by MCSHARRY, P. E, HE, T, SMITH, L. A, TARASSENKO, L

“…The electro-encephalogram is a time-varying signal that measures electrical activity in the brain. A conceptually intuitive non-linear technique,…”
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A dynamical model for generating synthetic electrocardiogram signals by McSharry, P.E., Clifford, G.D., Tarassenko, L., Smith, L.A.

“…A dynamical model based on three coupled ordinary differential equations is introduced which is capable of generating realistic synthetic electrocardiogram…”
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Preparation for football competition at moderate to high altitude by Gore, C. J., McSharry, P. E., Hewitt, A. J., Saunders, P. U

“…Analysis of ∼100 years of home‐and‐away South American World Cup matches illustrate that football competition at moderate/high altitude (>2000 m) favors the…”
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Probabilistic forecasts of the magnitude and timing of peak electricity demand by McSharry, P.E., Bouwman, S., Bloemhof, G.

“…Adequate capacity planning requires accurate forecasts of the future magnitude and timing of peak electricity demand. Electricity demand is affected by the day…”
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Comparison of predictability of epileptic seizures by a linear and a nonlinear method by McSharry, P.E., Smith, L.A., Tarassenko, L.

“…The performance of traditional linear (variance based) methods for the identification and prediction of epileptic seizures are contrasted with "modern" methods…”
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Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease by Tsanas, Athanasios, Little, Max A., McSharry, Patrick E., Spielman, Jennifer, Ramig, Lorraine O.

“…There has been considerable recent research into the connection between Parkinson's disease (PD) and speech impairment. Recently, a wide range of speech signal…”
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Wind Power Density Forecasting Using Ensemble Predictions and Time Series Models by Taylor, J.W., McSharry, P.E., Buizza, R.

“…Wind power is an increasingly used form of renewable energy. The uncertainty in wind generation is very large due to the inherent variability in wind speed,…”
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Short-Term Load Forecasting Methods: An Evaluation Based on European Data by Taylor, J.W., McSharry, P.E.

“…This paper uses intraday electricity demand data from ten European countries as the basis of an empirical comparison of univariate methods for prediction up to…”
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Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease by Little $^\ast$, Max A., McSharry, Patrick E., Hunter, Eric J., Spielman, Jennifer, Ramig, Lorraine O.

“…In this paper, we present an assessment of the practical value of existing traditional and nonstandard measures for discriminating healthy people from people…”
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Spatio-temporal analysis of nucleate pool boiling: identification of nucleation sites using non-orthogonal empirical functions by McSharry, Patrick E., Ellepola, Jerome H., von Hardenberg, Jost, Smith, Leonard A., Kenning, David B.R., Judd, Kevin

“…The analysis of spatio-temporal data and the physical understanding of the systems generating them are often limited by the available techniques. These…”
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Forecasting Depression in Bipolar Disorder by Moore, Paul J., Little, Max A., McSharry, Patrick E., Geddes, John R., Goodwin, Guy M.

“…Bipolar disorder is characterized by recurrent episodes of mania and depression and affects about 1% of the adult population. The condition can have a major…”
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Wave scattering by a two-dimensional pressure-release surface based on a perturbation of the Green’s function by McSharry, P. E., Moroney, D. T., Cullen, P. J.

“…An approximate method is described, to calculate the two-dimensional acoustic scattering, from a slightly rough, time-independent, pressure-release surface…”
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Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression by Tsanas, A, Little, M A, McSharry, P E, Ramig, L O

“…Dysphonia measures are signal processing algorithms that offer an objective method for characterizing voice disorders from recorded speech signals. In this…”
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A comparison of univariate methods for forecasting electricity demand up to a day ahead by Taylor, James W., de Menezes, Lilian M., McSharry, Patrick E.

“…This empirical paper compares the accuracy of six univariate methods for short-term electricity demand forecasting for lead times up to a day ahead. The very…”
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Characterizing artefact in the normal human 24-hour RR time series to aid identification and artificial replication of circadian variations in human beat to beat heart rate using a simple threshold by Clifford, G.D., McSharry, P.E., Tarassenko, L.

“…The authors present an investigation into the incidences of ectopy and artefact as a function of time of day, heart rate and state changes for 19 normal…”
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Quantifying self-similarity in cardiac inter-beat interval time series by McSharry, P.E., Malamud, B.D.

“…We compare and quantify the scaling and long-range persistence (long memory) in time series using five different techniques: power-spectral, wavelet variance,…”
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Generating 24-hour ECG, BP and respiratory signals with realistic linear and nonlinear clinical characteristics using a nonlinear model by Clifford, G.D., McSharry, P.E.

“…A nonlinear model for generating lifelike humaia ECG, blood pressure and respiratory signals is described. Each cycle of the model corresponds to one heart…”
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Method to filter ecgs and evaluate clinical parameter distortion using realistic ECG model parameter fitting by Clifford, G.D., McSharry, P.E.

“…By fitting a previously published nonlinear model for generating realistic ECG to waveforms collected from a healthy human subject, and using a nonlinear…”
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