Using wearable sensors to predict the severity of symptoms and motor complications in late stage parkinson's disease

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 3686-3689

  Patel, Shyamal ^a   Hughes, Richard ^a   Huggins, Nancy ^b   Standaert, David ^a   Growdon, John ^b   Dy, Jennifer ^a   Bonato, Paolo ^a,c  

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

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

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

Author keywords

[No Author keywords available]

Indexed keywords

NEURODEGENERATIVE DISEASES; SUPPORT VECTOR MACHINES;

ANALYSIS OF DATA; LATE STAGE; OPTIMAL PARAMETER; PARKINSON'S DISEASE; PARKINSONIAN SYMPTOMS; SENSOR DATA;

WEARABLE SENSORS;

ACCELERATION; AGED; ALGORITHM; AMBULATORY MONITORING; ARTICLE; CLOTHING; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EQUIPMENT; EQUIPMENT DESIGN; HUMAN; METHODOLOGY; MIDDLE AGED; PARKINSON DISEASE; PATHOPHYSIOLOGY; REPRODUCIBILITY; TELEMEDICINE; TELEMETRY; TRANSDUCER;

ACCELERATION; AGED; ALGORITHMS; CLOTHING; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; EQUIPMENT DESIGN; HUMANS; MIDDLE AGED; MONITORING, AMBULATORY; PARKINSON DISEASE; REPRODUCIBILITY OF RESULTS; TELEMEDICINE; TELEMETRY; TRANSDUCERS;

EID: 61849098377     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650009     Document Type: Conference Paper

References (8)

1. P. Bonato, D. M. Sheirill, D. G. Standaert, S. S. Salles, and M. Akay, "Data mining techniques to detect motor fluctuations in Parkinson's disease," Conf Proc IEEE Eng Med Biol Soc, vol. 7, pp. 4766-9, 2004.
2. S. Fahn and R. L. Elton, "Unified Parkinson's Disease Rating Scale," in Recent Developments in Parkinson's Disease, S. Fahn, Ed.: MacMillan Healthcare Information, 1987, pp. 153-163.
3. 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.
4. S. Patel, D. 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 - International Workshop on Wearable and Implantable Body Sensor Networks, Cambridge, MA, 2006.
5. V. Vapnik, The Nature of Statistical Learning Theory. New York, NY: Springer-Verlag, 1995.
6. 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," in Delft University of Technology, 2004.
7. B. Post, M. P. Merkus, R. M. de Bie, R. J. de Haan, and J. D. Speelman, "Unified Parkinson's disease rating scale motor examination: are ratings of nurses, residents in neurology, and movement disorders specialists interchangeable?," Mov Disord, vol. 20, pp. 1577-84, 2005.
8. Shyamal Patel, Konrad Lorincz, Richard Hughes, Nancy Huggins, John H. Growdon, Matt Welsh and Paolo Bonato "Analysis of Feature Space for Monitoring Persons with Parkinson's Disease With Application to a Wireless Wearable Sensor System" IEEE EMBC, pp. 6290-93, 2007.