Abstract:
BACKGROUND:Monitoring footprints during walking can lead to better identification of foot structure and abnormalities. Current techniques for footprint measurements are either static or dynamic, with low resolution. This work presents an approach to monitor the plantar contact area when walking using high-speed videography. METHODS:Footprint images were collected by asking the participants to walk across a custom-built acrylic walkway with a high-resolution digital camera placed directly underneath the walkway. This study proposes an automated footprint identification algorithm (Automatic Identification Algorithm) to measure the footprint throughout the stance phase of walking. This algorithm used coloration of the plantar tissue that was in contact with the acrylic walkway to distinguish the plantar contact area from other regions of the foot that were not in contact. RESULTS:The intraclass correlation coefficient (ICC) demonstrated strong agreement between the proposed automated approach and the gold standard manual method (ICC = 0.939). Strong agreement between the two methods also was found for each phase of stance (ICC > 0.78). CONCLUSIONS:The proposed automated footprint detection technique identified the plantar contact area during walking with strong agreement with a manual gold standard method. This is the first study to demonstrate the concurrent validity of an automated identification algorithm to measure the plantar contact area during walking.
journal_name
J Am Podiatr Med Assocjournal_title
Journal of the American Podiatric Medical Associationauthors
Lidstone DE,Porcher LM,DeBerardinis J,Dufek JS,Trabia MBdoi
10.7547/17-118subject
Has Abstractpub_date
2019-11-01 00:00:00pages
416-425issue
6eissn
8750-7315issn
1930-8264journal_volume
109pub_type
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