Document Detail

PAGAS: Portable and Accurate Gait Analysis System.
MedLine Citation:
PMID:  23365885     Owner:  NLM     Status:  MEDLINE    
Gait analysis systems are powerful tools in the monitoring and rehabilitation of many health conditions which result in an altered gait (such as Parkinson's disease and rheumatoid arthritis), along with the injury of lower limbs. However, current systems that provide accurate gait monitoring and analysis are large and expensive, and therefore are available only in professional settings. The goal of this research is to develop and test a Portable and Accurate Gait Analysis System, denoted PAGAS, which enables patients to monitor their own gait and track their progress and improvement over time. Moreover, PAGAS will enable therapists to follow the progress of their patients over time without the need for multiple visits required at a rehabilitation facility, thus saving significant healthcare costs. PAGAS includes footswitches and a micro-controller, which connects to an Android Smart-phone using Bluetooth communication. An application on the Smartphone analyzes the raw data to produce temporal gait parameters that are displayed to the user on a graphical user interface.
Rojay Wagner; Aura Ganz
Related Documents :
22099045 - A mechanism-based approach to predict the relative biological effectiveness of protons ...
18343135 - Determination of radioiodine activity in charcoal cassettes.
10092225 - Arctic ozone loss due to denitrification
11051535 - Interim results of the study of particulates and health in atlanta (sophia).
24458955 - Fusion of optical coherence tomographic and angiographic data for more accurate evaluat...
22083975 - Use of computational fluid dynamics as a tool for establishing process design space for...
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2012     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2012  
Date Detail:
Created Date:  2013-01-31     Completed Date:  2013-08-06     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  280-3     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Cellular Phone*
Monitoring, Physiologic* / instrumentation,  methods
Parkinson Disease / physiopathology*
Telemedicine* / instrumentation,  methods

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  M-health system for life-style enhancement: WiFIT.
Next Document:  Dynamic subframe allocation for mobile broadband m-health using IEEE 802.16j mobile multihop relay n...