Understanding Postural Response of Parkinson’s Subjects Using Nonlinear Dynamics and Support Vector Machines

Details

• Personal Author:
  Bhattacharya, Amit ; Mani A ; Revilla F ; Shukla A
• Description:
  Parkinson's disease (PD) produces slowness, stiffness, tremor, shuffling gait and postural instability. This paper is to present an approach to classification and understanding of Parkinson's patients using their postural response and analyzing it using a L2 norm metric in conjunction with support vector machines. Medication induced dyskinesia is a significant factor altering the postural response of Parkinson's subjects. This paper demonstrates that classification accuracy can be significantly increased if dyskinesia and history of fall is carefully integrated in to the analysis. Long term goal of this research is toprovide an intelligent framework for automatic classification of the Parkinson's subjects thus reducing the burden on clinical staff. [Description provided by NIOSH]
• Subjects:
  Accidental Falls Accidents Musculoskeletal System Occupational Health Safety
• Keywords:
  Body Mechanics Falls Medical Treatment Parkinsons Disease Pharmacology Posture
• ISSN:
  2381-9081
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Ohio ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  1
• Issue:
  1
• NIOSHTIC Number:
  nn:20050087
• Citation:
  Austin J Biomed Eng 2014 Mar; 1(1):1005
• Contact Point Address:
  Amit Shukla, Associate Professor, Department of Mechanical and Mfg. Engg, Miami University, Oxford, OH, 45056
• Email:
  shuklaa@MiamiOH.edu
• Federal Fiscal Year:
  2014
• Performing Organization:
  University of Cincinnati
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Austin Journal of Biomedical Engineering
• End Date:
  20260630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:05e1c841ea892220cd4cb5427c6b772a0a076d255c2baedbfff0eb5cc559f97088e284a29e3f02a1d45d70db1103d1f89c9f120c2efe4d51efb6c4b0543e9cb5
• Download URL:
  https://stacks.cdc.gov/view/cdc/210588/cdc_210588_DS1.pdf
• File Type:
  [PDF - 2.11 MB ]