Comparison of acceleration signals of simulated and real-world backward falls-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Comparison of acceleration signals of simulated and real-world backward falls

Published:2011-04 Issue:3 Volume:33 Page:368-373
ISSN:1350-4533
Container-title:Medical Engineering & Physics
language:en
Short-container-title:Medical Engineering & Physics

Author:

Klenk J.,Becker C.,Lieken F.,Nicolai S.,Maetzler W.,Alt W.,Zijlstra W.,Hausdorff J.M.,van Lummel R.C.,Chiari L.,Lindemann U.

Funder

Robert Bosch Foundation

European Commission

Publisher

Elsevier BV

Subject

Biomedical Engineering,Biophysics

Reference37 articles.

1. PROFANE-Group. Systematic review of definitions and methods of measuring falls in randomised controlled fall prevention trials;Hauer;Age Ageing,2006

2. Defining a fall and reasons for falling: comparisons among the views of seniors, health care providers, and the research literature;Zecevic;Gerontologist,2006

3. Inability to get up after falling, subsequent time on floor, and summoning help: prospective cohort study in people over 90;Fleming;BMJ,2008

4. A proposal for the classification and evaluation of fall detectors;Noury;IRBM,2008

5. Falls in the elderly: detection and assessment;Lord;Conf Proc IEEE Eng Med Biol Soc,1991

Cited by 111 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fall Detection in Low-Illumination Environments From Far-Infrared Images Using Pose Detection and Dynamic Descriptors;IEEE Access;2024

2. Improved DWA Method based on Jerk Model;Journal of the Robotics Society of Japan;2024

3. Human stability assessment and fall detection based on dynamic descriptors;IET Image Processing;2023-06-14

4. Toward Real-Time, Robust Wearable Sensor Fall Detection Using Deep Learning Methods: A Feasibility Study;Applied Sciences;2023-04-16

5. Detecting the Pre-impact of Falls in the Elderly, Along with the Use of an Airbag Belt for Protection Against Femoral Neck Fractures;Digital Health Transformation, Smart Ageing, and Managing Disability;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3