{"title":"运行过程中的冲击力:加载的问题,合理的结果","authors":"Andrew B. Udofa, Laurence J. Ryan, P. Weyand","doi":"10.1109/BSN.2016.7516290","DOIUrl":null,"url":null,"abstract":"Load carriage was used as an experimental tool to evaluate the ability of an anatomically-based, two-mass model of the human body to predict vertical impact and peak forces during running from only four inputs: body weight (W<sub>b</sub>), contact time (t<sub>c</sub>), aerial time, (t<sub>a</sub>), and lower-limb acceleration (a<sub>1</sub>). Simultaneous motion and force data were acquired from seven subjects during steady-speed trials (3.0-6.0 m·s<sup>-1</sup>) on a custom, force-instrumented treadmill under three loading conditions: unloaded (1.0 W<sub>b</sub>), 15% added weight (1.15 W<sub>b</sub>) and 30% added weight (1.30 W<sub>b</sub>). Model-predicted impact and peak forces corresponded with measured values, on average, to within 14.9±1.3% and 13.8±0.6%, respectively (R<sup>2</sup> best-fits=0.82 and 0.88, n=71). Ankle jerk and velocity data derived from optical position-time data suggest wearable sensor acquisition of the model-needed inputs is fully feasible. We conclude that the two-mass model offers a promising approach to quantifying running ground reaction forces using wearable technologies.","PeriodicalId":205735,"journal":{"name":"2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Impact forces during running: Loaded questions, sensible outcomes\",\"authors\":\"Andrew B. Udofa, Laurence J. Ryan, P. Weyand\",\"doi\":\"10.1109/BSN.2016.7516290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Load carriage was used as an experimental tool to evaluate the ability of an anatomically-based, two-mass model of the human body to predict vertical impact and peak forces during running from only four inputs: body weight (W<sub>b</sub>), contact time (t<sub>c</sub>), aerial time, (t<sub>a</sub>), and lower-limb acceleration (a<sub>1</sub>). Simultaneous motion and force data were acquired from seven subjects during steady-speed trials (3.0-6.0 m·s<sup>-1</sup>) on a custom, force-instrumented treadmill under three loading conditions: unloaded (1.0 W<sub>b</sub>), 15% added weight (1.15 W<sub>b</sub>) and 30% added weight (1.30 W<sub>b</sub>). Model-predicted impact and peak forces corresponded with measured values, on average, to within 14.9±1.3% and 13.8±0.6%, respectively (R<sup>2</sup> best-fits=0.82 and 0.88, n=71). Ankle jerk and velocity data derived from optical position-time data suggest wearable sensor acquisition of the model-needed inputs is fully feasible. We conclude that the two-mass model offers a promising approach to quantifying running ground reaction forces using wearable technologies.\",\"PeriodicalId\":205735,\"journal\":{\"name\":\"2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BSN.2016.7516290\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BSN.2016.7516290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact forces during running: Loaded questions, sensible outcomes
Load carriage was used as an experimental tool to evaluate the ability of an anatomically-based, two-mass model of the human body to predict vertical impact and peak forces during running from only four inputs: body weight (Wb), contact time (tc), aerial time, (ta), and lower-limb acceleration (a1). Simultaneous motion and force data were acquired from seven subjects during steady-speed trials (3.0-6.0 m·s-1) on a custom, force-instrumented treadmill under three loading conditions: unloaded (1.0 Wb), 15% added weight (1.15 Wb) and 30% added weight (1.30 Wb). Model-predicted impact and peak forces corresponded with measured values, on average, to within 14.9±1.3% and 13.8±0.6%, respectively (R2 best-fits=0.82 and 0.88, n=71). Ankle jerk and velocity data derived from optical position-time data suggest wearable sensor acquisition of the model-needed inputs is fully feasible. We conclude that the two-mass model offers a promising approach to quantifying running ground reaction forces using wearable technologies.