| Suitability of dysphonia measurements for telemonitoring of Parkinson’s disease MA Little, PE McSharry, EJ Hunter, J Spielman, LO Ramig IEEE Transactions on Biomedical Engineering 56 (4), 1015-1022, 2009 | 740 | 2009 |
| 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 | 680 | 2007 |
| Accurate telemonitoring of Parkinson’s disease progression by non-invasive speech tests A Tsanas, MA Little, PE McSharry, LO Ramig IEEE Transactions on Biomedical Engineering 57 (4), 884-893, 2010 | 543 | 2010 |
| Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease A Tsanas, MA Little, P McSharry, J Spielman, L Ramig IEEE Transactions on Biomedical Engineering 59 (5), 1264-1271, 2012 | 442 | 2012 |
| Technology in Parkinson's disease: Challenges and opportunities AJ Espay, P Bonato, FB Nahab, W Maetzler, JM Dean, J Klucken, ... Movement Disorders 31 (9), 1272-1282, 2016 | 289 | 2016 |
| Detecting and monitoring the symptoms of Parkinson's disease using smartphones: a pilot study S Arora, V Venkataraman, A Zhan, S Donohue, KM Biglan, ER Dorsey, ... Parkinsonism & related disorders 21 (6), 650-653, 2015 | 225 | 2015 |
| 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 | 218 | 2011 |
| Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits JM Lane, J Liang, I Vlasac, SG Anderson, DA Bechtold, J Bowden, ... Nature Genetics 49, 274–281, 2017 | 178 | 2017 |
| Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank JM Lane, I Vlasac, SG Anderson, S Kyle, WG Dixon, DA Bechtold, S Gill, ... Nature Communications 7, 10889, 2016 | 166 | 2016 |
| Highly comparative time-series analysis: the empirical structure of time series and their methods BD Fulcher, MA Little, NS Jones Journal of the Royal Society Interface 10 (83), 20130048, 2013 | 151 | 2013 |
| Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease A Tsanas, MA Little, C Fox, LO Ramig IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (1 …, 2014 | 150 | 2014 |
| Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory MA Little, NS Jones Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2011 | 126 | 2011 |
| Generalized methods and solvers for noise removal from piecewise constant signals. II. New methods MA Little, NS Jones Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2011 | 126* | 2011 |
| Machine learning for large-scale wearable sensor data in Parkinson disease: concepts, promises, pitfalls and futures K Kubota, J Chen, MA Little Movement Disorders 31 (9), 1314-1326, 2016 | 125 | 2016 |
| Nonlinear, biophysically-informed speech pathology detection MA Little, P McSharry, I Moroz, S Roberts Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 …, 2006 | 118 | 2006 |
| Using smartphones and machine learning to quantify Parkinson disease severity: The mobile Parkinson disease score A Zhan, S Mohan, C Tarolli, RB Schneider, JL Adams, S Sharma, ... JAMA Neurology 75 (7), 876-880, 2018 | 113 | 2018 |
| Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates HS Dashti, SE Jones, AR Wood, JM Lane, VT van Hees, H Wang, ... Nature Communications 10, 1100, 2019 | 96 | 2019 |
| Accurate telemonitoring of Parkinson’s disease symptom severity using nonlinear speech signal processing and statistical machine learning A Tsanas Oxford University, UK, 2012 | 85 | 2012 |
| What to do when K-means clustering fails: a simple yet principled alternative algorithm YP Raykov, A Boukouvalas, F Baig, MA Little PLoS One 11 (9), e0162259, 2016 | 82 | 2016 |
| Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression A Tsanas, MA Little, PE McSharry, LO Ramig 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 78 | 2010 |
Patrick McSharryUniversity of OxfordEmail verificata su maths.ox.ac.uk
