Patrick McSharry
Patrick McSharry
Підтверджена електронна адреса в - Домашня сторінка
A dynamical model for generating synthetic electrocardiogram signals
PE McSharry, GD Clifford, L Tarassenko, LA Smith
IEEE transactions on biomedical engineering 50 (3), 289-294, 2003
Advanced methods and tools for ECG data analysis
GD Clifford, F Azuaje, P McSharry
Artech house, 2006
Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington’s disease
JM Hausdorff, SL Mitchell, R Firtion, CK Peng, ME Cudkowicz, JY Wei, ...
Journal of applied physiology 82 (1), 262-269, 1997
Suitability of dysphonia measurements for telemonitoring of Parkinson’s disease
M Little, P McSharry, E Hunter, J Spielman, L Ramig
Nature Precedings, 1-1, 2008
Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection
MA Little, PE McSharry, SJ Roberts, DAE Costello, IM Moroz
Biomedical engineering online 6 (1), 23, 2007
A comparison of univariate methods for forecasting electricity demand up to a day ahead
JW Taylor, LM De Menezes, PE McSharry
International journal of forecasting 22 (1), 1-16, 2006
Accurate telemonitoring of Parkinson's disease progression by noninvasive speech tests
A Tsanas, MA Little, PE McSharry, LO Ramig
IEEE transactions on Biomedical Engineering 57 (4), 884-893, 2009
Short-term load forecasting methods: An evaluation based on european data
JW Taylor, PE McSharry
IEEE Transactions on Power Systems 22 (4), 2213-2219, 2007
Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease
A Tsanas, MA Little, PE McSharry, J Spielman, LO Ramig
IEEE transactions on biomedical engineering 59 (5), 1264-1271, 2012
Wind power density forecasting using ensemble predictions and time series models
JW Taylor, PE McSharry, R Buizza
IEEE Transactions on Energy Conversion 24 (3), 775-782, 2009
Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity
A Tsanas, MA Little, PE McSharry, LO Ramig
Journal of the royal society interface 8 (59), 842-855, 2011
Prediction of epileptic seizures: are nonlinear methods relevant?
PE McSharry, LA Smith, L Tarassenko
Nature medicine 9 (3), 241-242, 2003
Mathematical and computational techniques to deduce complex biochemical reaction mechanisms
EJ Crampin, S Schnell, PE McSharry
Progress in biophysics and molecular biology 86 (1), 77-112, 2004
Probabilistic forecasts of the magnitude and timing of peak electricity demand
PE McSharry, S Bouwman, G Bloemhof
IEEE Transactions on Power Systems 20 (2), 1166-1172, 2005
ECG statistics, noise, artifacts, and missing data
GD Clifford, F Azuaje, P Mcsharry
Advanced methods and tools for ECG data analysis 6, 18, 2006
Advanced Methods And Tools for ECG Data Analysis, Artech House
GD Clifford, F Azuaje, P McSharry
Inc., Norwood, MA, 2006
Better nonlinear models from noisy data: Attractors with maximum likelihood
PE McSharry, LA Smith
Physical review letters 83 (21), 4285, 1999
Model-based filtering, compression and classification of the ECG
GD Clifford, A Shoeb, PE McSharry, BA Janz
International Journal of Bioelectromagnetism 7 (1), 158-161, 2005
Nonlinear, biophysically-informed speech pathology detection
M Little, P McSharry, I Moroz, S Roberts
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
System and Method for Communicating Environmentally-Based Medical Advice
L Tarassenko, WR Cobern, PE McSharry
US Patent App. 12/084,952, 2009
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