Anatomy and Biomechanics of the Back Muscles in the Lumbar Spine With Reference to Biomechanical Modeling

生物力学 医学 力矩(物理) 腰椎 解剖 腰椎 背部肌肉 物理医学与康复 外科 物理 经典力学
作者
Lone Hansen,Mark de Zee,John Rasmussen,Thomas B. Andersen,Christian Wong,Erik B. Simonsen
出处
期刊:Spine [Lippincott Williams & Wilkins]
卷期号:31 (17): 1888-1899 被引量:195
标识
DOI:10.1097/01.brs.0000229232.66090.58
摘要

This article describes the development of a musculoskeletal model of the human lumbar spine with focus on back muscles. It includes data from literature in a structured form.To review the anatomy and biomechanics of the back muscles related to the lumbar spine with relevance for biomechanical modeling.To reduce complexity, muscle units have been incorporated in an abridged manner, reducing their actions more or less to a single force equivalent. In early models of the lumbar spine, this may have been a necessary step to reduce complexity and, thereby, calculation time. The muscles of the spine are well described in the literature, but mainly qualitatively. Most of the literature provides a description of the structures without precise data of fiber length, muscle length, cross-sectional areas, moment arms, forces, etc. The predicted output of musculoskeletal models is very much dependent on the input parameters. The information needed to improve models consists of better approximations of the attachments to the vertebrae, and more precise data.Review of literature.The predicted output of musculoskeletal models is very much dependent on the input parameters. Moderate changes in the assumed muscle line-of-action (i.e., moment arm) could substantially alter the magnitudes of predicted muscle and spinal forces, while the choice of optimization formulation is less sensitive.Input parameters, moment arms, as well as physiologic cross-sectional areas have a profound effect on the predicted muscle forces. Therefore, it is important to choose the values for moment arm and physiologic cross-sectional area carefully because they are essential input parameters to biomechanical models.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
KD发布了新的文献求助10
1秒前
魔幻灯泡发布了新的文献求助10
1秒前
gwt发布了新的文献求助10
2秒前
Yuki190919完成签到 ,获得积分10
2秒前
11完成签到 ,获得积分10
3秒前
aa完成签到,获得积分10
4秒前
zy完成签到,获得积分20
5秒前
7秒前
7秒前
zxh完成签到,获得积分10
7秒前
8秒前
9秒前
9秒前
杏苑鸽子发布了新的文献求助10
12秒前
我不是很帅完成签到,获得积分10
12秒前
zh完成签到,获得积分10
12秒前
12秒前
SciGPT应助stdbot采纳,获得10
12秒前
future完成签到 ,获得积分10
13秒前
荡南桥发布了新的文献求助30
13秒前
14秒前
李健应助积极的凌波采纳,获得10
14秒前
司空踏歌应助魔幻灯泡采纳,获得10
15秒前
15秒前
16秒前
gzsy完成签到 ,获得积分10
16秒前
17秒前
sjxbjrndkd完成签到 ,获得积分10
17秒前
年轻的溪流完成签到,获得积分10
18秒前
Heidi完成签到,获得积分10
18秒前
123发布了新的文献求助10
18秒前
MauriceH发布了新的文献求助10
18秒前
科研通AI5应助震动的化蛹采纳,获得10
19秒前
李健的小迷弟应助houfei采纳,获得10
19秒前
酷酷皮卡丘完成签到 ,获得积分10
21秒前
21秒前
21秒前
21秒前
甜蜜阑悦完成签到,获得积分10
22秒前
FIGMA发布了新的文献求助10
22秒前
高分求助中
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Epigenetic Drug Discovery 500
Hardness Tests and Hardness Number Conversions 300
Knowledge management in the fashion industry 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3816874
求助须知:如何正确求助?哪些是违规求助? 3360257
关于积分的说明 10407382
捐赠科研通 3078228
什么是DOI,文献DOI怎么找? 1690660
邀请新用户注册赠送积分活动 813990
科研通“疑难数据库(出版商)”最低求助积分说明 767924