globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0163023
论文题名:
Running Speed Can Be Predicted from Foot Contact Time during Outdoor over Ground Running
作者: Cornelis J. de Ruiter; Ben van Oeveren; Agnieta Francke; Patrick Zijlstra; Jaap H. van Dieen
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2016
发表日期: 2016-9-20
卷: 11, 期:9
语种: 英语
英文关键词: Running ; Global positioning system ; Inertia ; Wind ; Feet (anatomy) ; Heart rate ; Reproducibility ; Toes
英文摘要: The number of validation studies of commercially available foot pods that provide estimates of running speed is limited and these studies have been conducted under laboratory conditions. Moreover, internal data handling and algorithms used to derive speed from these pods are proprietary and thereby unclear. The present study investigates the use of foot contact time (CT) for running speed estimations, which potentially can be used in addition to the global positioning system (GPS) in situations where GPS performance is limited. CT was measured with tri axial inertial sensors attached to the feet of 14 runners, during natural over ground outdoor running, under optimized conditions for GPS. The individual relationships between running speed and CT were established during short runs at different speeds on two days. These relations were subsequently used to predict instantaneous speed during a straight line 4 km run with a single turning point halfway. Stopwatch derived speed, measured for each of 32 consecutive 125m intervals during the 4 km runs, was used as reference. Individual speed-CT relations were strong (r2 >0.96 for all trials) and consistent between days. During the 4km runs, median error (ranges) in predicted speed from CT 2.5% (5.2) was higher (P<0.05) than for GPS 1.6% (0.8). However, around the turning point and during the first and last 125m interval, error for GPS-speed increased to 5.0% (4.5) and became greater (P<0.05) than the error predicted from CT: 2.7% (4.4). Small speed fluctuations during 4km runs were adequately monitored with both methods: CT and GPS respectively explained 85% and 73% of the total speed variance during 4km runs. In conclusion, running speed estimates bases on speed-CT relations, have acceptable accuracy and could serve to backup or substitute for GPS during tarmac running on flat terrain whenever GPS performance is limited.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0163023&type=printable
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/23497
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

Files in This Item:
File Name/ File Size Content Type Version Access License
journal.pone.0163023.PDF(2334KB)期刊论文作者接受稿开放获取View Download

作者单位: Faculty of Behavioural and Movement Sciences, Research Institute MOVE, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;Faculty of Behavioural and Movement Sciences, Research Institute MOVE, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;Faculty of Behavioural and Movement Sciences, Research Institute MOVE, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;Faculty of Behavioural and Movement Sciences, Research Institute MOVE, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;Faculty of Behavioural and Movement Sciences, Research Institute MOVE, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

Recommended Citation:
Cornelis J. de Ruiter,Ben van Oeveren,Agnieta Francke,et al. Running Speed Can Be Predicted from Foot Contact Time during Outdoor over Ground Running[J]. PLOS ONE,2016-01-01,11(9)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Cornelis J. de Ruiter]'s Articles
[Ben van Oeveren]'s Articles
[Agnieta Francke]'s Articles
百度学术
Similar articles in Baidu Scholar
[Cornelis J. de Ruiter]'s Articles
[Ben van Oeveren]'s Articles
[Agnieta Francke]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Cornelis J. de Ruiter]‘s Articles
[Ben van Oeveren]‘s Articles
[Agnieta Francke]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: journal.pone.0163023.PDF
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.