A Comprehensive gait data acquisition system: An integrated pedobarograph and imaging system

Gait-related problems can be addressed with the use of qualitative and quantitative data. In the current Philippines' setting, doctors rely only on their skills and experience on analyzing their patients' gait patterns. Gait-analyzing systems are already available abroad but are very expen...

Full description

Saved in:
Bibliographic Details
Main Authors: Agustin, Chrissete C., Geslani, Janina Marie A., Lee, Beverly Ann M., Peralta, Bernard P., See, Alvin Arthur A.
Format: text
Language:English
Published: Animo Repository 2008
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/etd_honors/311
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_honors-1310
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:etd_honors-13102022-02-21T03:10:41Z A Comprehensive gait data acquisition system: An integrated pedobarograph and imaging system Agustin, Chrissete C. Geslani, Janina Marie A. Lee, Beverly Ann M. Peralta, Bernard P. See, Alvin Arthur A. Gait-related problems can be addressed with the use of qualitative and quantitative data. In the current Philippines' setting, doctors rely only on their skills and experience on analyzing their patients' gait patterns. Gait-analyzing systems are already available abroad but are very expensive. The proponents created a low cost system that integrated a pedobarograph and gait-imaging system which can be locally available. The imaging system is composed of an image capturing device (i.e web camera), a desktop computer, and reflective markers. The cameras capture the walking pattern, then save the images which can be reloadable. The gait analysis system measures the degree of angle displaced by the joints of the limbs during walking. After processing 269 images captured by the imaging system, the results show that the system has an average of 2.2% error and is 97% reliable in having an error of less than 5.0% for its angle measurements. The pedobarograph part is composed of a force plate, a signal conditioning circuit and a data acquisition system. The pressure readings are voltage signals processed by the motherboard. On the GUI of the program, colors were used to display relative pressure readings - black for off and no contact, blue for low pressure, and red for high pressure. It was found out that in order to capture the five complete stance phase events of a walk, the patient must walk along the platform at least three times per session. Overall, the system prototype proved to be able to provide reliable joint measurements and display relative foot pressure distribution simultaneously. 2008-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_honors/311 Honors Theses English Animo Repository Walking Gait in humans Gait disorders Detectors Automatic data collection systems
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Walking
Gait in humans
Gait disorders
Detectors
Automatic data collection systems
spellingShingle Walking
Gait in humans
Gait disorders
Detectors
Automatic data collection systems
Agustin, Chrissete C.
Geslani, Janina Marie A.
Lee, Beverly Ann M.
Peralta, Bernard P.
See, Alvin Arthur A.
A Comprehensive gait data acquisition system: An integrated pedobarograph and imaging system
description Gait-related problems can be addressed with the use of qualitative and quantitative data. In the current Philippines' setting, doctors rely only on their skills and experience on analyzing their patients' gait patterns. Gait-analyzing systems are already available abroad but are very expensive. The proponents created a low cost system that integrated a pedobarograph and gait-imaging system which can be locally available. The imaging system is composed of an image capturing device (i.e web camera), a desktop computer, and reflective markers. The cameras capture the walking pattern, then save the images which can be reloadable. The gait analysis system measures the degree of angle displaced by the joints of the limbs during walking. After processing 269 images captured by the imaging system, the results show that the system has an average of 2.2% error and is 97% reliable in having an error of less than 5.0% for its angle measurements. The pedobarograph part is composed of a force plate, a signal conditioning circuit and a data acquisition system. The pressure readings are voltage signals processed by the motherboard. On the GUI of the program, colors were used to display relative pressure readings - black for off and no contact, blue for low pressure, and red for high pressure. It was found out that in order to capture the five complete stance phase events of a walk, the patient must walk along the platform at least three times per session. Overall, the system prototype proved to be able to provide reliable joint measurements and display relative foot pressure distribution simultaneously.
format text
author Agustin, Chrissete C.
Geslani, Janina Marie A.
Lee, Beverly Ann M.
Peralta, Bernard P.
See, Alvin Arthur A.
author_facet Agustin, Chrissete C.
Geslani, Janina Marie A.
Lee, Beverly Ann M.
Peralta, Bernard P.
See, Alvin Arthur A.
author_sort Agustin, Chrissete C.
title A Comprehensive gait data acquisition system: An integrated pedobarograph and imaging system
title_short A Comprehensive gait data acquisition system: An integrated pedobarograph and imaging system
title_full A Comprehensive gait data acquisition system: An integrated pedobarograph and imaging system
title_fullStr A Comprehensive gait data acquisition system: An integrated pedobarograph and imaging system
title_full_unstemmed A Comprehensive gait data acquisition system: An integrated pedobarograph and imaging system
title_sort comprehensive gait data acquisition system: an integrated pedobarograph and imaging system
publisher Animo Repository
publishDate 2008
url https://animorepository.dlsu.edu.ph/etd_honors/311
_version_ 1726158535558955008