User profiles for Max A Little
 | Max A LittleUniversity of Birmingham/MIT Verified email at mit.edu Cited by 11592 |
Technology in Parkinson's disease: challenges and opportunities
The miniaturization, sophistication, proliferation, and accessibility of technologies are enabling
the capture of more and previously inaccessible phenomena in Parkinson's disease (PD). …
the capture of more and previously inaccessible phenomena in Parkinson's disease (PD). …
Machine learning for large‐scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures
For the treatment and monitoring of Parkinson's disease (PD) to be scientific, a key
requirement is that measurement of disease stages and severity is quantitative, reliable, and …
requirement is that measurement of disease stages and severity is quantitative, reliable, and …
[HTML][HTML] Freezing of gait and fall detection in Parkinson's disease using wearable sensors: a systematic review
Despite the large number of studies that have investigated the use of wearable sensors to
detect gait disturbances such as Freezing of gait (FOG) and falls, there is little consensus …
detect gait disturbances such as Freezing of gait (FOG) and falls, there is little consensus …
Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease
There has been considerable recent research into the connection between Parkinson's
disease (PD) and speech impairment. Recently, a wide range of speech signal processing …
disease (PD) and speech impairment. Recently, a wide range of speech signal processing …
[HTML][HTML] Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates
Sleep is an essential state of decreased activity and alertness but molecular factors regulating
sleep duration remain unknown. Through genome-wide association analysis in 446,118 …
sleep duration remain unknown. Through genome-wide association analysis in 446,118 …
Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity
The standard reference clinical score quantifying average Parkinson's disease (PD) symptom
severity is the Unified Parkinson's Disease Rating Scale (UPDRS). At present, UPDRS is …
severity is the Unified Parkinson's Disease Rating Scale (UPDRS). At present, UPDRS is …
Highly comparative time-series analysis: the empirical structure of time series and their methods
The process of collecting and organizing sets of observations represents a common theme
throughout the history of science. However, despite the ubiquity of scientists measuring, …
throughout the history of science. However, despite the ubiquity of scientists measuring, …
Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study
… Donohue d , KM Biglan e , ER Dorsey e f , MA Little a g … Max Little receives research
support from the Wellcome Trust and The Michael J. Fox Foundation for Parkinson's Research. …
support from the Wellcome Trust and The Michael J. Fox Foundation for Parkinson's Research. …
Using smartphones and machine learning to quantify Parkinson disease severity: the mobile Parkinson disease score
…, MJ Elson, KL Spear, AM Glidden, MA Little… - JAMA …, 2018 - jamanetwork.com
Importance Current Parkinson disease (PD) measures are subjective, rater-dependent, and
assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived …
assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived …
Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits
Chronic sleep disturbances, associated with cardiometabolic diseases, psychiatric disorders
and all-cause mortality 1 , 2 , affect 25–30% of adults worldwide 3 . Although environmental …
and all-cause mortality 1 , 2 , affect 25–30% of adults worldwide 3 . Although environmental …