An algorithm for directly fitting a moment-angle-angular velocity model to maximum voluntary muscular moments measured with an isokinetic dynamometer.
Joint kinematics influence maximum voluntary muscular moment of force about a joint, and can thereby have substantial effects on available muscle moment during dynamic activities. A model of maximum voluntary muscle moment as a function of joint angle and angular velocity has been described previous...
| Published in: | Isokinetics & Exercise Science Vol. 17; no. 1; pp. 51 - 57 |
|---|---|
| Main Authors: | , , |
| Format: | algorithm equations & formulas research tables/charts Journal Article |
| Published: |
Sage Publications Inc.
2009
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105483668&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105483668 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09593020 3M5 jtl: Isokinetics & Exercise Science issn: 09593020 maglogo: N pubinfo: dt: 2009 vid: 17 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 105483668 105483668 2010229677 10.3233/ies-2009-0332 105483668 ppf: 51 ppct: 6 formats: tig: atl: An algorithm for directly fitting a moment-angle-angular velocity model to maximum voluntary muscular moments measured with an isokinetic dynamometer. aug: au: Anderson DE Madigan ML Nussbaum MA affil: Department of Engineering Science and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA sug: subj: Algorithms Body Weights and Measures Dynamometry Joints Physiology Kinematics Evaluation Lower Extremity Physiology Muscle Strength Evaluation Comparative Studies Descriptive Statistics Female Funding Source Goodness of Fit Chi Square Test Male Mathematics Middle Age Models, Statistical Virginia Human Middle Aged: 45-64 years Female Male ab: Joint kinematics influence maximum voluntary muscular moment of force about a joint, and can thereby have substantial effects on available muscle moment during dynamic activities. A model of maximum voluntary muscle moment as a function of joint angle and angular velocity has been described previously. Originally, a computational optimization approach was used to fit this model to muscle moment data collected using an isokinetic dynamometer. To make this model more practical and accessible, an algorithm was developed to directly determine the model parameters without requiring optimization. This algorithm was compared with the optimization method for fitting measured muscle moment data from six different lower limb exertions in 14 healthy adults. Both methods produced models that fit the measured moment data reasonably well (r{2} typically > 0.75), and the direct calculation method reduced r{2} only slightly compared to optimization (by an average of 1.14%). The direct calculation algorithm presented here may be preferable to the optimization approach used previously, as it displays comparable performance but requires less time and expertise to employ. pubtype: Academic Journal doctype: algorithm equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|