Ramzi Halabi, M. Diab, M. Mohamed el Badaoui, Bassam Moslem, F. Guillet
{"title":"Vertical ground reaction force spectral analysis for fatigue assessment","authors":"Ramzi Halabi, M. Diab, M. Mohamed el Badaoui, Bassam Moslem, F. Guillet","doi":"10.1109/ICABME.2017.8167574","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a novel fatigue assessment technique using Vertical Ground Reaction Force (VGRF) signals acquired during ultra-marathon running. To achieve that goal, we performed frequency-domain on singlechannel VGRF signals on different time intervals during ultra-marathon running and tracked the features' variation. Our method was applied on single-channel VGRF signals recorded via instrumented treadmill during a 24-hour ultramarathon ran by 12 well-trained athletes. The purpose behind our work is to develop computationally-efficient techniques for real-time fatigue assessment during running activities, taking advantage of the low level of complexity and deterministic behavior of the signals in hand when compared to other fatigue indicating electrophysiological signals.","PeriodicalId":426559,"journal":{"name":"2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICABME.2017.8167574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we propose a novel fatigue assessment technique using Vertical Ground Reaction Force (VGRF) signals acquired during ultra-marathon running. To achieve that goal, we performed frequency-domain on singlechannel VGRF signals on different time intervals during ultra-marathon running and tracked the features' variation. Our method was applied on single-channel VGRF signals recorded via instrumented treadmill during a 24-hour ultramarathon ran by 12 well-trained athletes. The purpose behind our work is to develop computationally-efficient techniques for real-time fatigue assessment during running activities, taking advantage of the low level of complexity and deterministic behavior of the signals in hand when compared to other fatigue indicating electrophysiological signals.