Monitoring motor fluctuations in patients with parkinsons disease using wearable sensors

IEEE Transactions on Information Technology in Biomedicine

Volumn 13, Issue 6, 2009, Pages 864-873

  Patel, Shyamal ^a   Lorincz, Konrad ^b   Hughes, Richard ^a   Huggins, Nancy ^c   Growdon, John ^c   Standaert, David ^d   Akay, Metin ^e   Dy, Jennifer ^f   Welsh, Matt ^b   Bonato, Paolo ^a,g  

^a and Red Sox Foundation and Massachusetts General Hospital Home Base Program   (United States)

^b HARVARD UNIVERSITY   (United States)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

^d UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^e Arizona State University   (United States)

^f Northeastern University   (United States)

^g HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

Author keywords

Body sensor networks; Parkinson x0027; s disease; Support vector machines (SVMs); Wearable sensors

Indexed keywords

ACCELEROMETER DATA; BODY SENSOR NETWORK; BODY SENSOR NETWORKS; COMPUTATIONAL COSTS; DATA FEATURE; MISCLASSIFICATION COSTS; MOTOR FLUCTUATIONS; MOTOR TASKS; PARKINSONIAN SYMPTOMS; PARKINSONS DISEASE; PILOT STUDIES; VISUAL INSPECTION; WEARABLE SENSORS;

ACCELEROMETERS; BUBBLES (IN FLUIDS); COST BENEFIT ANALYSIS; GEARS; MOTORS; MULTILAYER NEURAL NETWORKS; SENSOR NETWORKS; TIME SERIES; VIDEO RECORDING; VISUAL COMMUNICATION; WIRELESS SENSOR NETWORKS;

SUPPORT VECTOR MACHINES;

ACCELERATION; AGED; ALGORITHM; AMBULATORY MONITORING; ARTICLE; ARTIFICIAL INTELLIGENCE; CLOTHING; DYSKINESIA; HOSPITALIZATION; HUMAN; INSTRUMENTATION; METHODOLOGY; MIDDLE AGED; PARKINSON DISEASE; PATHOPHYSIOLOGY; SIGNAL PROCESSING; TELEMETRY; VIDEORECORDING;

ACCELERATION; AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLOTHING; DYSKINESIAS; HUMANS; MIDDLE AGED; MONITORING, AMBULATORY; PARKINSON DISEASE; SEVERITY OF ILLNESS INDEX; SIGNAL PROCESSING, COMPUTER-ASSISTED; TELEMETRY; VIDEO RECORDING;

EID: 70449570954     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2033471     Document Type: Article

References (25)

1. D. G. Standaert and A. B. Young, "Treatment of CNS neurodegenerative diseases," in Goodman and Gilman's Pharmacological Basis of Therapeutics, J. G. Hardman and L. E. Limbird, Eds. New York: McGraw-Hill, 2001, pp. 549-620.
2. J.A.Obeso,C.W.Olanow, and J. G. Nutt, "Levodopa motor complications in Parkinson's disease," Trends Neurosci., vol.23, pp. S2-S7, 2000.
3. A. E. Lang and A. M. Lozano, "Parkinson's disease. First of two parts," N. Engl. J. Med., vol.339, pp. 1044-1053, 1998.
4. A. E. Lang and A. M. Lozano, "Parkinson's disease. Second of two parts," N. Engl. J. Med., vol.339, pp. 1130-1143, 1998.
5. W. J. Weiner, "Motor fluctuations in Parkinson's disease," Rev. Neurol. Dis., vol.3, pp. 101-108, 2006.
6. T. Muller and H. Russ, "Levodopa, motor fluctuations and dyskinesia in Parkinson's disease," Expert Opin. Pharmacother., vol.7, pp. 1715-1730, 2006.
7. P. S. Group, "Evaluation of dyskinesias in a pilot, randomized, placebocontrolled trial of remacemide in advanced Parkinson disease," Arch. Neurol., vol.58, pp. 1660-1668, 2001.
8. 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 Trans. Biomed. Eng., vol.40, no.3, pp. 276- 283, Mar. 1993.
9. S. Spieker, C. Jentgens, A. Boose, and J.Dichgans, "Reliability, specificity and sensitivity of long-term tremor recordings," Electroencephalogr. Clin. Neurophysiol., vol.97, pp. 326-331, 1995. (Pubitemid 26019388)
10. P. Bonato, D. M. Sherrill, D. G. Standaert, S. S. Salles, and M. Akay, "Data mining techniques to detect motor fluctuations in Parkinson's disease," in Proc. Conf. IEEE Eng. Med. Biol. Soc., 2004, vol.7, pp. 4766- 4769.
11. S. Patel, D. M. Sherrill, R. Hughes, T. Hester, N. Huggins, T. Lie-Nemeth, D. Standaert, and P. Bonato, "Analysis of the severity of dyskinesia in patients with Parkinson's disease via wearable sensors," presented at BSN2006-Int. Workshop Wearable Implantable Body Sens. Netw., Cambridge, MA, 2006.
12. N. L. Keijsers, M.W. Horstink, J. J. van Hilten, J. I. Hoff, and C. C. Gielen, "Detection and assessment of the severity of levodopa-induced dyskinesia in patients with Parkinson's disease by neural networks," Mov. Disord., vol.15, pp. 1104-1111, 2000.
13. J. I. Hoff, A. A. Van Den Plas, E. A. Wagemans, and J. J. Van Hilten, "Accelerometric assessment of levodopa-induced dyskinesias in Parkinson's disease," Mov. Disord., vol.16, pp. 58-61, 2001.
14. N. L. Keijsers, M. W. Horstink, and S. C. Gielen, "Automatic assessment of levodopa-induced dyskinesias in daily life by neural networks," Mov. Disord., vol.18, pp. 70-80, 2003.
15. N. L. Keijsers, M. W. Horstink, and S. C. Gielen, "Ambulatory motor assessment in Parkinson's disease," Mov. Disord., vol.21, pp. 34-44, 2006.
16. T. Thielgen, F. Foerster, G. Fuchs, A. Hornig, and J. Fahrenberg, "Tremor in Parkinson's disease: 24-hr monitoring with calibrated accelerometry," Electromyogr. Clin. Neurophysiol., vol.44, pp. 137-146, 2004.
17. P. Bonato, "Advances in wearable technology and applications in physical medicine and rehabilitation," J. Neuroeng. Rehabil., vol.2, no.1, article 2, 2005.
18. E. Jovanov, A. Milenkovic, C. Otto, and P. C. De Groen, "A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation," J. Neuroeng. Rehabil., vol.2, no.1, article 6, 2005.
19. T. Gao, D. Greenspan, M. Welsh, R. Juang, and A. Alm, "Vital signs monitoring and patient tracking over a wireless network," in Proc. Conf. IEEE Eng. Med. Biol. Soc., 2005, vol.1, pp. 102-105.
20. R. L. Elton, "Unified Parkinson's Disease Rating Scale," in Recent Developments in Parkinson's Disease, S. Fahn, Ed. New York: Macmillan, 1987, pp. 153-163.
21. B. Post, M. P. Merkus, R. M. de Bie, R. J. de Haan, and J. D. Speelman, "Unified Parkinson'sDisease Rating Scale motor examination: Are ratings of nurses, residents in neurology, and movement disorders specialists interchangeable?," Mov. Disord., vol.20, pp. 1577-1584, 2005.
22. R. Moddemeijer, "On estimation of entropy and mutual information of continuous distributions," Signal Process., vol.16, pp. 233-246, 1989.
23. V. Vapnik, The Nature of Statistical Learning Theory. NewYork: Springer-Verlag, 1995.
24. R. P.W. Duin, P. Juszczak, P. Paclik, E. Pekalska, D. de Ridder, and D.M. J. Tax, PRTools4, A MATLAB Toolbox for Pattern Recognition. Delft, The Netherlands: Delft University of Technology, 2004.
25. SHIMMER. [Online]. Available: http://docs.tinyos.net/index.php/SHIMMER