• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用加速度计对膝关节骨关节炎的人体运动质量进行分类。

Classifying human motion quality for knee osteoarthritis using accelerometers.

作者信息

Taylor Portia E, Almeida Gustavo J M, Kanade Takeo, Hodgins Jessica K

机构信息

Biomedical Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:339-43. doi: 10.1109/IEMBS.2010.5627665.

DOI:10.1109/IEMBS.2010.5627665
PMID:21096970
Abstract

In this paper, we describe methods for assessment of exercise quality using body-worn tri-axial accelerometers. We assess exercise quality by building a classifier that labels incorrect exercises. The incorrect performances are divided into a number of classes of errors as defined by a physical therapist. We focus on exercises commonly prescribed for knee osteoarthritis: standing hamstring curl, reverse hip abduction, and lying straight leg raise. The methods presented here will form the basis for an at-home rehabilitation device that will recognize errors in patient exercise performance, provide appropriate feedback on the performance, and motivate the patient to continue the prescribed regimen.

摘要

在本文中,我们描述了使用穿戴式三轴加速度计评估运动质量的方法。我们通过构建一个对不正确运动进行标记的分类器来评估运动质量。不正确的表现被分为物理治疗师定义的多个错误类别。我们关注通常为膝骨关节炎开具的运动:站立腿弯举、反向髋关节外展和仰卧直腿抬高。这里介绍的方法将构成一种家庭康复设备的基础,该设备将识别患者运动表现中的错误,提供关于表现的适当反馈,并激励患者继续规定的疗程。

相似文献

1
Classifying human motion quality for knee osteoarthritis using accelerometers.使用加速度计对膝关节骨关节炎的人体运动质量进行分类。
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:339-43. doi: 10.1109/IEMBS.2010.5627665.
2
Multi-label classification for the analysis of human motion quality.用于人体运动质量分析的多标签分类
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2214-8. doi: 10.1109/EMBC.2012.6346402.
3
Wearable sensors to predict improvement following an exercise intervention in patients with knee osteoarthritis.可穿戴传感器用于预测膝骨关节炎患者运动干预后的改善情况。
J Neuroeng Rehabil. 2017 Sep 12;14(1):94. doi: 10.1186/s12984-017-0309-z.
4
Effect of Agility Exercises on Knee Health Status among Patients with Osteoarthritis.
Nurs J India. 2015 Jan-Feb;106(1):35-8.
5
Efficacy of Hip Strengthening Exercises Compared With Leg Strengthening Exercises on Knee Pain, Function, and Quality of Life in Patients With Knee Osteoarthritis.髋部强化锻炼与腿部强化锻炼对膝骨关节炎患者膝关节疼痛、功能及生活质量影响的疗效比较
Clin J Sport Med. 2015 Nov;25(6):509-17. doi: 10.1097/JSM.0000000000000170.
6
Knee Osteoarthritis: Alternative Range of Motion Treatment.膝关节骨关节炎:替代性活动范围治疗
Orthop Clin North Am. 2019 Oct;50(4):425-432. doi: 10.1016/j.ocl.2019.05.001. Epub 2019 Aug 5.
7
Wearable sensor-based rehabilitation exercise assessment for knee osteoarthritis.基于可穿戴传感器的膝骨关节炎康复运动评估
Sensors (Basel). 2015 Feb 12;15(2):4193-211. doi: 10.3390/s150204193.
8
The effect of low-load exercise on joint pain, function, and activities of daily living in patients with knee osteoarthritis.低负荷运动对膝骨关节炎患者关节疼痛、功能及日常生活活动能力的影响。
Knee. 2018 Jan;25(1):135-145. doi: 10.1016/j.knee.2017.12.003. Epub 2018 Jan 8.
9
Comparison of effectiveness of the home exercise program and the home exercise program taught by physiotherapist in knee osteoarthritis.家庭锻炼计划与物理治疗师指导的家庭锻炼计划对膝骨关节炎的有效性比较。
J Back Musculoskelet Rehabil. 2019;32(1):161-169. doi: 10.3233/BMR-181234.
10
Effects of aquatic exercise on flexibility, strength and aerobic fitness in adults with osteoarthritis of the hip or knee.水上运动对髋或膝骨关节炎成年人柔韧性、力量和有氧适能的影响。
J Adv Nurs. 2007 Jan;57(2):141-52. doi: 10.1111/j.1365-2648.2006.04102.x.

引用本文的文献

1
Deep learning model for classifying shoulder pain rehabilitation exercises using IMU sensor.基于 IMU 传感器的深度学习模型对肩部疼痛康复运动进行分类。
J Neuroeng Rehabil. 2024 Mar 27;21(1):42. doi: 10.1186/s12984-024-01343-8.
2
Effects of left thigh blood flow restriction exercise on muscle strength and golf performance in amateur golfers.左大腿血流限制训练对业余高尔夫球手肌肉力量和高尔夫球表现的影响。
J Exerc Rehabil. 2023 Aug 22;19(4):237-244. doi: 10.12965/jer.2346302.151. eCollection 2023 Aug.
3
The use of technology to support lifestyle interventions in knee osteoarthritis: A scoping review.
利用技术支持膝关节骨关节炎的生活方式干预:一项范围综述。
Osteoarthr Cartil Open. 2023 Feb 9;5(2):100344. doi: 10.1016/j.ocarto.2023.100344. eCollection 2023 Jun.
4
Hybrid Therapeutic Device (CUHK-OA-M2) for Relieving Symptoms Induced by Knee Osteoarthritis.用于缓解膝关节骨关节炎所致症状的混合治疗设备(香港中文大学-开源-M2)
Bioengineering (Basel). 2023 Jan 11;10(1):95. doi: 10.3390/bioengineering10010095.
5
Classifying and tracking rehabilitation interventions through machine-learning algorithms in individuals with stroke.通过机器学习算法对中风患者的康复干预进行分类和跟踪。
J Rehabil Assist Technol Eng. 2021 Oct 7;8:20556683211044640. doi: 10.1177/20556683211044640. eCollection 2021 Jan-Dec.
6
Adherence Patterns and Dose Response of Physiotherapy for Rotator Cuff Pathology: Longitudinal Cohort Study.肩袖损伤物理治疗的依从模式和剂量反应:纵向队列研究
JMIR Rehabil Assist Technol. 2021 Mar 11;8(1):e21374. doi: 10.2196/21374.
7
Adherence Tracking With Smart Watches for Shoulder Physiotherapy in Rotator Cuff Pathology: Protocol for a Longitudinal Cohort Study.用于肩袖损伤病理中肩部物理治疗的智能手表依从性跟踪:一项纵向队列研究方案
JMIR Res Protoc. 2020 Jul 5;9(7):e17841. doi: 10.2196/17841.
8
A review of computational approaches for evaluation of rehabilitation exercises.康复训练评估的计算方法综述
Comput Biol Med. 2020 Apr;119:103687. doi: 10.1016/j.compbiomed.2020.103687. Epub 2020 Mar 4.
9
Quantitative assessment of cerebellar ataxia, through automated limb functional tests.通过自动化肢体功能测试对小脑性共济失调进行定量评估。
J Neuroeng Rehabil. 2019 Feb 27;16(1):31. doi: 10.1186/s12984-019-0490-3.
10
Automatically Evaluating Balance: A Machine Learning Approach.自动平衡评估:一种机器学习方法。
IEEE Trans Neural Syst Rehabil Eng. 2019 Feb;27(2):179-186. doi: 10.1109/TNSRE.2019.2891000. Epub 2019 Jan 4.