skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A Smartphone-based gait data collection system for the prediction of falls in elderly adults.

Abstract

Abstract not provided.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
unfunded
OSTI Identifier:
1257690
Report Number(s):
SAND2015-4709C
590803
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the International Telermetering Conference held October 26-29, 2015 in Las Vegase, Nevada , United States of America.
Country of Publication:
United States
Language:
English

Citation Formats

Martinez, Matthew Thomas, and De Leon, Phillip L. A Smartphone-based gait data collection system for the prediction of falls in elderly adults.. United States: N. p., 2015. Web.
Martinez, Matthew Thomas, & De Leon, Phillip L. A Smartphone-based gait data collection system for the prediction of falls in elderly adults.. United States.
Martinez, Matthew Thomas, and De Leon, Phillip L. 2015. "A Smartphone-based gait data collection system for the prediction of falls in elderly adults.". United States. https://www.osti.gov/servlets/purl/1257690.
@article{osti_1257690,
title = {A Smartphone-based gait data collection system for the prediction of falls in elderly adults.},
author = {Martinez, Matthew Thomas and De Leon, Phillip L},
abstractNote = {Abstract not provided.},
doi = {},
url = {https://www.osti.gov/biblio/1257690}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 01 00:00:00 EDT 2015},
month = {Mon Jun 01 00:00:00 EDT 2015}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: