Max A Little
Max A Little
University of Birmingham/MIT
Verified email at mit.edu - Homepage
TitleCited byYear
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
6382009
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
5942007
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
4502010
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
3692012
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
2192016
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
1852015
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
1842011
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
1432017
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
1392016
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
1212014
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
1142011
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
1122006
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
1112013
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
1032016
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
702010
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
642018
Accurate telemonitoring of Parkinson’s disease symptom severity using nonlinear speech signal processing and statistical machine learning
A Tsanas
Oxford University, UK, 2012
632012
Freezing of gait and fall detection in Parkinson’s disease using wearable sensors: a systematic review
MJF Ana Ligia Silva de Lima, Luc J. W. Evers, Tim Hahn, Lauren Bataille ...
Journal of Neurology 264 (8), 1642–1654, 2017
582017
Robust fundamental frequency estimation in sustained vowels: Detailed algorithmic comparisons and information fusion with adaptive Kalman filtering
A Tsanas, M Zañartu, MA Little, C Fox, LO Ramig, GD Clifford
The Journal of the Acoustical Society of America 135 (5), 2885-2901, 2014
552014
Objective Dysphonia Quantification in Vocal Fold Paralysis: Comparing Nonlinear With Classical Measures
MA Little, D Costello, M Harries
Journal of Voice 25 (1), 21-31, 2009
552009
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Articles 1–20