High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2014, Pages 3641-3644

  Arora, Siddharth ^a,b   Venkataraman, Vinayak ^c   Donohue, Sean ^d   Biglan, Kevin M ^e   Dorsey, Earl R ^e   Little, Max A ^a,f  

^a ASTON UNIVERSITY   (United Kingdom)

^b SOMERVILLE COLLEGE   (United Kingdom)

^c DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d JOHNS HOPKINS UNIVERSITY   (United States)

^e UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

^f MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Gait; Parkinson's disease; Postural sway; Random forest; Smartphones; Tri axial acceleration

Indexed keywords

DECISION TREES; SIGNAL PROCESSING; SMARTPHONES;

GAIT; PARKINSON'S DISEASE; POSTURAL SWAY; RANDOM FORESTS; TRI-AXIAL;

NEURODEGENERATIVE DISEASES;

EID: 84905247586     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854280     Document Type: Conference Paper

References (18)

1. E.R. Dorsey, B.P. George, B. Leff, and A.W. Willis. "The coming crisis: Obtaining care for the growing burden of neurodegenerative conditions," Neurology, 1989-1996, 2013.
2. E.R. Dorsey, R. Constantinescu, J.P. Thompson, K.M. Biglan, R.G. Holloway, K. Kieburtz, F.J. Marshall, B.M. Ravina, G. Schifitto, A. Siderowf, and C.M. Tanner. "Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030," Neurology, 384-386, 2007.
3. R. Kurlan and D. Murphy. "Parkinson's disease data and organizing center," Movement Disorder, 904-905, 2007.
4. P. Bonato. "Advances in wearable technology and applications in physical medicine and rehabilitation," Journal of NeuroEngineering and Rehabilitation, 2(1), 2005.
5. J. Ghika, A.W. Wiegner, J.J. Fang, L. Davies, R.R. Young, and J.H. Growdon, "Portable system for quantifying motor abnormalities in Parkinson's disease," IEEE Transactions on Biomedical Engineering, 276-283, 1993.
6. S. Spieker, C. Jentgens, A. Boose, and J. Dichgans, "Reliability, specificity and sensitivity of long-term tremor recordings," Electroencephalography and Clinical Neurophysiology, 326-331, 1995.
7. R.K. Begg, M. Palaniswami, and B. Owen. "Support vector machines for automated gait classification," IEEE Transactions on Biomedical Engineering, 828-838, 2005.
8. S. Patel, K. Lorincz, R. Hughes, N. Huggins, J. Growdon, D. Standaert, M. Akay, J. Dy, M. Welsh, and P. Bonato, "Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors," IEEE Transactions On Information Technology In Biomedicine, 864-873, 2009.
9. E. Sejdí, K.A. Lowry, J. Bellanca, M.S. Redfern, and J.S. Brach, "A comprehensive assessment of gait accelerometry signals in time, frequency and time-frequency domains," IEEE Transactions on Neural Systems and Rehabilitation Engineering, in press.
10. R.A. Joundi, J.S. Brittain, N. Jenkinson, A.L. Green, and T. Aziz. "Rapid tremor frequency assessment with the iPhone accelerometer," Parkinsonism Related Disorders, 288-290, 2011.
11. M. Brunato, R. Battiti, D. Pruitt, and E. Sartori. "Supervised and unsupervised machine learning for the detection, monitoring and management of Parkinson's disease from passive mobile phone data. In: Predicting Parkinson's Disease Progression with Smartphone Data," Kaggle Competition. Available at: Https://kaggle2.blob.core.windows.net/prospectorfiles/ 1117/958625cf-3514-4e64-b0e7-13ebd3cf9791/kaggle.pdf. Accessed October 2013.
12. J.D. Scargle. "Studies in astronomical time series analysis. II-Statistical aspects of spectral analysis of unevenly spaced data," Astrophysical Journal, 835-853, 1982.
13. D. Zwillinger (Ed.). Spherical Coordinates in Space. 4.9.3 in CRC Standard mathematical tables and formulae. Boca Raton, FL: CRC Press, 297-298, 1995.
14. A. Tsanas, M.A. Little, P.E. McSharry, J. Spielman, and L.O. Ramig. "Novel speech signal processing algorithms for highaccuracy classification of Parkinson's disease," IEEE Transactions on Biomedical Engineering, 1264-1271, 2012.
15. L. Breiman. "Random Forests," Machine learning, 5-32, 2001.
16. T. Hastie, R. Tibshirani, and J. Friedman. The elements of statistical learning: Data mining, inference, and prediction, Springer, 2nd edition, 2009.
17. A.N. Kolmogorov. "On the empirical determination of a distribution function," Breakthroughs in Statistics, Springer Series in Statistics, 106-113, 1992.
18. N.V. Smirnov. "On the estimation of the discrepancy between empirical curves of distribution for two independent samples," Bulletin of Moscow University, 3-16, 1939.