基于体戴传感器的矢状面关节角度运动学动态测量与估计

Gunjanbhai Patel, R. Ojha, S. Sujatha
{"title":"基于体戴传感器的矢状面关节角度运动学动态测量与估计","authors":"Gunjanbhai Patel, R. Ojha, S. Sujatha","doi":"10.1109/WISPNET.2018.8538548","DOIUrl":null,"url":null,"abstract":"Gait analysis is an important clinical tool in the management of locomotion disability arising from orthopedic and neurological conditions and is an active area of research particularly in rehabilitation and sports medicine. The procedure demands dedicated space, thus limiting its usage to indoor environments. In this paper, we present a novel wearable wireless inertial sensor (i-Sens)-based design for estimation of joint angle in the sagittal plane. The i-Sens hardware comprises of triaxial accelerometer, gyroscope sensors, microcontroller and Bluetooth module. It is portable and can be readily used in indoor and outdoor settings. A novel simplified complementary filter algorithm was incorporated in the design for sensor data fusion. Four normal volunteers were chosen to test the sensor; they wore the sensor at knee level on one side, and assessed its performance while walking in both outdoor and indoor environments. The data was transmitted wirelessly through Bluetooth to the data acquisition system. The gait parameters of the subjects were compared with normative reference data. At the initial contact phase of the gait cycle, mean and standard deviation of knee angle was 3.6° ± 3.5°, while the maximum swing phase knee flexion angle was 67.8° ± 4.5°, which is within the normative data range, suggesting accuracy of the joint angle estimation. Hence, i-Sens can be useful for movement analysis of the lower limb. Further clinical trials are required to validate the sensor at different joints (ankle, knee and hip) under various pathological and environmental conditions.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"19 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Ambulatory Measurement and Estimation of Joint Angle Kinematics in Sagittal Plane Using Body Worn Sensors for Gait Analysis\",\"authors\":\"Gunjanbhai Patel, R. Ojha, S. Sujatha\",\"doi\":\"10.1109/WISPNET.2018.8538548\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gait analysis is an important clinical tool in the management of locomotion disability arising from orthopedic and neurological conditions and is an active area of research particularly in rehabilitation and sports medicine. The procedure demands dedicated space, thus limiting its usage to indoor environments. In this paper, we present a novel wearable wireless inertial sensor (i-Sens)-based design for estimation of joint angle in the sagittal plane. The i-Sens hardware comprises of triaxial accelerometer, gyroscope sensors, microcontroller and Bluetooth module. It is portable and can be readily used in indoor and outdoor settings. A novel simplified complementary filter algorithm was incorporated in the design for sensor data fusion. Four normal volunteers were chosen to test the sensor; they wore the sensor at knee level on one side, and assessed its performance while walking in both outdoor and indoor environments. The data was transmitted wirelessly through Bluetooth to the data acquisition system. The gait parameters of the subjects were compared with normative reference data. At the initial contact phase of the gait cycle, mean and standard deviation of knee angle was 3.6° ± 3.5°, while the maximum swing phase knee flexion angle was 67.8° ± 4.5°, which is within the normative data range, suggesting accuracy of the joint angle estimation. Hence, i-Sens can be useful for movement analysis of the lower limb. Further clinical trials are required to validate the sensor at different joints (ankle, knee and hip) under various pathological and environmental conditions.\",\"PeriodicalId\":6858,\"journal\":{\"name\":\"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)\",\"volume\":\"19 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISPNET.2018.8538548\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISPNET.2018.8538548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

步态分析是治疗由骨科和神经系统疾病引起的运动障碍的重要临床工具,是一个活跃的研究领域,特别是在康复和运动医学领域。这个过程需要专门的空间,因此限制了它在室内环境中的使用。本文提出了一种基于可穿戴无线惯性传感器(i-Sens)的关节矢状面角度估计方法。i-Sens硬件由三轴加速度计、陀螺仪传感器、微控制器和蓝牙模块组成。它是便携式的,可以在室内和室外环境中轻松使用。在传感器数据融合设计中引入了一种新的简化互补滤波算法。选择四名正常志愿者对传感器进行测试;他们将传感器放在膝盖水平的一侧,并评估其在室外和室内环境中行走时的表现。数据通过蓝牙无线传输到数据采集系统。将受试者的步态参数与规范参考数据进行比较。在步态周期初始接触阶段,膝关节角度的均值和标准差为3.6°±3.5°,最大摆动阶段膝关节屈曲角度为67.8°±4.5°,均在规范数据范围内,表明关节角度估计的准确性。因此,i-Sens可以用于下肢的运动分析。需要进一步的临床试验来验证传感器在不同的病理和环境条件下在不同的关节(脚踝,膝盖和髋关节)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Ambulatory Measurement and Estimation of Joint Angle Kinematics in Sagittal Plane Using Body Worn Sensors for Gait Analysis
Gait analysis is an important clinical tool in the management of locomotion disability arising from orthopedic and neurological conditions and is an active area of research particularly in rehabilitation and sports medicine. The procedure demands dedicated space, thus limiting its usage to indoor environments. In this paper, we present a novel wearable wireless inertial sensor (i-Sens)-based design for estimation of joint angle in the sagittal plane. The i-Sens hardware comprises of triaxial accelerometer, gyroscope sensors, microcontroller and Bluetooth module. It is portable and can be readily used in indoor and outdoor settings. A novel simplified complementary filter algorithm was incorporated in the design for sensor data fusion. Four normal volunteers were chosen to test the sensor; they wore the sensor at knee level on one side, and assessed its performance while walking in both outdoor and indoor environments. The data was transmitted wirelessly through Bluetooth to the data acquisition system. The gait parameters of the subjects were compared with normative reference data. At the initial contact phase of the gait cycle, mean and standard deviation of knee angle was 3.6° ± 3.5°, while the maximum swing phase knee flexion angle was 67.8° ± 4.5°, which is within the normative data range, suggesting accuracy of the joint angle estimation. Hence, i-Sens can be useful for movement analysis of the lower limb. Further clinical trials are required to validate the sensor at different joints (ankle, knee and hip) under various pathological and environmental conditions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deep Reinforcement Learning for the Capacitated Vehicle Routing Problem with Soft Time Window Integrated Interference Solutions Between 5G and Satellite Systems Modulation Recognition Method of MAPSK Signal Artificial Intelligence Routing Method in Wireless Sensor Network for Sewage Treatment Monitoring Electromagnetically Induced Transparency in a Coupled NV Spin-Mechanical Resonator System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1