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Carried Weight Affects Walking Speed Monitoring with the IngVaL System
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2686-4539
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Mälardalen University, School of Health, Care and Social Welfare.ORCID iD: 0000-0001-8704-402X
2019 (English)In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 261, p. 317-320Article in journal (Refereed) Published
Abstract [en]

Earlier work has shown that the IngVaL pedobarography system can estimate walking speed during indoor walking using only three forefoot sensors. The aim of this study was to examine if monitoring of walking speed using data from these three forefoot sensors is affected of the weight a person carries, if the person performs a walk in a set speed on the treadmill. Shoe insoles with force sensing resistors were connected to an electronic unit for signal conditioning and sampling and then the data was sent via Bluetooth to a tablet. Fifteen test persons walked five times each carrying five different weights on the treadmill at 1 m/s. The force-time integrals for the sum of the three forefoot sensors were calculated. This study shows that the force-time integrals for the three forefoot sensors shows a linear relationship with the carried weight as long as the person is not fatigued.

Place, publisher, year, edition, pages
NLM (Medline) , 2019. Vol. 261, p. 317-320
Keywords [en]
carried weight, in-shoe, insole, pedobarography, portable, wearable
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-44661Scopus ID: 2-s2.0-85067090455OAI: oai:DiVA.org:mdh-44661DiVA, id: diva2:1331698
Available from: 2019-06-27 Created: 2019-06-27 Last updated: 2019-06-27Bibliographically approved

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Hellstrom, Per Anders RickardFolke, Mia

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