ArticleBiomedical engineering online2017
Design and implementation of a BSN-based system for plantar health evaluation with exercise load quantification.
Article in Biomedical engineering online, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Test-retest reliability and usability evaluation of a wearable plantar pressure monitoring system for linear and curved walking.Scientific reports · 2025Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPlantar pressure measurement has become increasingly useful in the evaluation of plantar health conditions thanks to the recent progression in sensing technology. Due to the large volume and high energy consumption of monitoring devices, traditional systems for plantar pressure measurement are only focused on static or short-term dynamic monitoring. It makes them inappropriate for early detections of plantar symptoms usually presented in long-term activities.
methodsA prototype of monitoring system based on body sensor network (BSN) is proposed for quantitative assessment of plantar conditions. To further assess the severity of plantar symptoms which can be reflected from the pressure distribution in motion status, an approach to conjoint analysis of pressure distribution and exercise load quantification based on the strike frequency (SF) and heart rate (HR) is also proposed.
resultsAn examination was tested on 30 subjects to verify the capabilities of the proposed system. The estimated correlation rate with reference devices ([Formula: see text]) and error rate on the average ([Formula: see text]) of HR and SF indicated equal measuring capabilities as the existing commercial products . Comprised of the conjoint analysis based on HR and SF, the proposed method of exercise load quantification was examined on all subjects' recordings.
conclusionsA prototype of an innovative BSN-based bio-physiological measurement system has been implemented for the long-term monitoring and early evaluation of plantar condition. The experimental results indicated that the proposed system has a great potential value in the applications of long-term plantar health monitoring and evaluation.
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