Little, Max A.

Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson’s Disease

Tsanas, A., Little, M. A., McSharry, P. E., Spielman, J., & Ramig, L. O. (2012) · IEEE Transactions on Biomedical Engineering

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 732

Technology in Parkinson’s disease: challenges and opportunities

Espay, A. J., Bonato, P., Nahab, F. B., Maetzler, W., Dean, J. M., Klucken, J., Eskofier, B. M., Merola, A., Horak, F., Lang, A. E., et al. (2016) · Movement Disorders

Parkinson's Disease Mechanisms and TreatmentsDeep Brain Stimulation and Movement Disorders

Cited by 654

GWAS in 446,118 European adults identifies 78 genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates

Dashti, H. S., Jones, S. E., Wood, A. R., Lane, J. M., van Hees, V. T., Wang, H., Rhodes, J. A., Song, Y., Patel, K., Anderson, S. G., et al. (2018) · Nature Communications

Sleep and related disordersGenetic Associations and Epidemiology

Cited by 614

Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study

Arora, S., Venkataraman, V., Zhan, A., Donohue, S., Biglan, K. M., Dorsey, E. R., & Little, M. A. (2015) · Parkinsonism & Related Disorders

Parkinson's Disease Mechanisms and TreatmentsContext-Aware Activity Recognition Systems

Cited by 387

Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank

Lane, J. M., Vlasac, I., Anderson, S. G., Kyle, S. D., Dixon, W. G., Bechtold, D. A., Gill, S., Little, M. A., Luik, A., Loudon, A., et al. (2016) · Nature Communications

Circadian rhythm and melatoninGenetic Associations and Epidemiology

Cited by 312

Machine learning for large‐scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures

Kubota, K. J., Chen, J. A., & Little, M. A. (2016) · Movement Disorders

Artificial Intelligence in HealthcareContext-Aware Activity Recognition Systems

Cited by 210

Feasibility of large-scale deployment of multiple wearable sensors in Parkinson's disease

Silva de Lima, A. L., Hahn, T., Evers, L. J. W., de Vries, N. M., Cohen, E., Afek, M., Bataille, L., Daeschler, M., Claes, K., Boroojerdi, B., et al. (2017) · PLOS ONE

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 162

Large-Scale Wearable Sensor Deployment in Parkinson’s Patients: The Parkinson@Home Study Protocol

Silva de Lima, A. L., Hahn, T., de Vries, N. M., Cohen, E., Bataille, L., Little, M. A., Baldus, H., Bloem, B. R., & Faber, M. J. (2016) · JMIR Research Protocols

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 63

High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection

Zhan, A., Little, M. A., Harris, D. A., Abiola, S. O., Dorsey, E. R., Saria, S., & Terzis, A. (2016) · arXiv

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 50