Comparing postural stability entropy analyses to differentiate fallers and non-fallers

Details

• Personal Author:
  Adjerid K ; Fino PC ; Habibi M ; Lockhart TE ; Mojdehi AR ; Ross SD
• Description:
  The health and financial cost of falls has spurred research to differentiate the characteristics of fallers and non-fallers. Postural stability has received much of the attention with recent studies exploring various measures of entropy. This study compared the discriminatory ability of several entropy methods at differentiating two paradigms in the center-of-pressure of elderly individuals: (1) eyes open (EO) vs. eyes closed (EC) and (2) fallers (F) vs. non-fallers (NF). Methods were compared using the area under the curve (AUC) of the receiver-operating characteristic curves developed from logistic regression models. Overall, multiscale entropy (MSE) and composite multiscale entropy (CompMSE) performed the best with AUCs of 0.71 for EO/EC and 0.77 for F/NF. When methods were combined together to maximize the AUC, the entropy classifier had an AUC of for 0.91 the F/NF comparison. These results suggest researchers and clinicians attempting to create clinical tests to identify fallers should consider a combination of every entropy method when creating a classifying test. Additionally, MSE and CompMSE classifiers using polar coordinate data outperformed rectangular coordinate data, encouraging more research into the most appropriate time series for postural stability entropy analysis. [Description provided by NIOSH]
• Subjects:
  Accidental Falls Accidents Accidents, Occupational Age Factors Diagnosis Eye Musculoskeletal System Occupational Health Safety Sense Organs
• Keywords:
  Accident Potential Age Factors Analytical Models Approximate Entropy Author Keywords: Entropy Biomedical Engineering Clinical Diagnosis Clinical Tests Composite Multiscale Entropy Elderly Eyes Fallers Falls Humans Multiscale Entropy Physiological Measurements Posture Regression Analysis RQA Sample Entropy

  More +
• ISSN:
  0090-6964
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Arizona ; OSHA Region 3 ; OSHA Region 9 ; Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  44
• Issue:
  5
• NIOSHTIC Number:
  nn:20049049
• Citation:
  Ann Biomed Eng 2016 May; 44(5):1636-1645
• Contact Point Address:
  Thurmon E. Lockhart, School of Biological and Health Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ, 85287, USA
• Email:
  thurmon.lockhart@asu.edu
• Federal Fiscal Year:
  2016
• Performing Organization:
  Virginia Polytechnic Institute and State University
• Peer Reviewed:
  True
• Start Date:
  20090901
• Source Full Name:
  Annals of Biomedical Engineering
• End Date:
  20140831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:27cb7e2f90014436b59d6dd72504852272be448ece73b2e6fdc480501a917d8a8a90529059e49af6a50407c4056f88254940e59f798e170da7518288d16d7124
• Download URL:
  https://stacks.cdc.gov/view/cdc/203631/cdc_203631_DS1.pdf
• File Type:
  [PDF - 921.58 KB ]