ERA

Download the full-sized PDF of Comparative analysis of human elbow flexion capability and nautilus elbow flexion machine resistance patternsDownload the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R30P0X13T

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Graduate Studies and Research, Faculty of

Collections

This file is in the following collections:

Theses and Dissertations

Comparative analysis of human elbow flexion capability and nautilus elbow flexion machine resistance patterns Open Access

Descriptions

Other title
Subject/Keyword
Muscle strength.
Nautilus weight training equipment.
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Robinson-Edwin, Linda J.
Supervisor and department
Examining committee member and department
Department
Department of Physical Therapy
Specialization

Date accepted
1987
Graduation date

Degree
Master of Science
Degree level
Master's
Abstract

Language
English
DOI
doi:10.7939/R30P0X13T
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication

File Details

Date Uploaded
Date Modified
2012-11-09T18:20:11.044+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 7181749
Last modified: 2015:10:22 04:17:20-06:00
Filename: ML40969.pdf
Original checksum: 7a519ec57e919c8eff36fc673c13811a
Well formed: true
Valid: true
Page count: 151
Activity of users you follow
User Activity Date