IMU filter settings for high intensity activities

惯性测量装置 后备箱 运动学 加速度计 加速度 矢状面 滤波器(信号处理) 数学 计算机科学 物理医学与康复 物理 医学 人工智能 计算机视觉 解剖 经典力学 生物 生态学 操作系统
作者
Emily J. Miller,Riley C. Sheehan,Kenton R. Kaufman
出处
期刊:Gait & Posture [Elsevier BV]
卷期号:91: 26-29 被引量:1
标识
DOI:10.1016/j.gaitpost.2021.10.006
摘要

Recommendations for cut-off frequencies for inertial measurement units (IMU) are either based on marker-based motion analysis or based on low intensity activities. The selection of filter cut-off frequencies can impact the extracted variables from the filtered signal. There are no recommendations for IMU filter settings when collecting biomechanical data of high intensity activities.What are appropriate IMU cut-off frequency filter settings for high intensity activities?Ten unimpaired participants were studied during controlled postural perturbations using a microprocessor-controlled treadmill. Disturbances were delivered in forward and backward directions and incrementally increased in both directions until the participant was unable to maintain an upright posture and the trial resulted in a fall. An IMU was placed on their sternum to obtain trunk sagittal kinematics. Custom code was implemented to estimate trunk angle, angular velocity, and linear acceleration about the flexion-extension axis in the trunk IMU coordinate system. The three trials that resulted in falls in each direction for each participant (60 total trials) were analysed. These trials were limited to 500 msec of the disturbance period. The cut-off frequency was calculated for trunk kinematics using 99 percent of the energy spectrum (E99).The trunk flexion angle (4 ± 4 Hz) and linear acceleration (35 ± 10 Hz) cut-off frequencies agreed with previously reported values. The cut-off frequency for trunk flexion angular velocity (26 ± 7 Hz) was higher than values previously reported.Selection of cut-off frequency should be based on segment accelerations and not simply activity or segment of interest. Deliberate selection and reporting of filter settings in biomechanics research will improve data quality, reliability of inferences, and reproducibility of studies.

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
结实的发夹完成签到,获得积分10
刚刚
1秒前
程蒋琪发布了新的文献求助10
1秒前
1秒前
QH发布了新的文献求助10
2秒前
3秒前
echo完成签到 ,获得积分10
3秒前
4秒前
科研通AI6.2应助cccp采纳,获得10
5秒前
6秒前
jiajiajia发布了新的文献求助10
7秒前
自卑的猫关注了科研通微信公众号
7秒前
hwl26发布了新的文献求助10
7秒前
科研通AI6.2应助喜悦的斓采纳,获得10
11秒前
11秒前
QH完成签到,获得积分10
11秒前
明亮的夜梅完成签到,获得积分20
13秒前
14秒前
15秒前
ff发布了新的文献求助10
15秒前
赘婿应助科研通管家采纳,获得10
17秒前
情怀应助科研通管家采纳,获得10
17秒前
ding应助科研通管家采纳,获得10
17秒前
小蘑菇应助科研通管家采纳,获得10
17秒前
jiajiajia完成签到,获得积分20
17秒前
情怀应助科研通管家采纳,获得10
17秒前
17秒前
小马甲应助鱼鱼鱼采纳,获得10
17秒前
橘x应助科研通管家采纳,获得30
17秒前
义气笑卉应助科研通管家采纳,获得10
17秒前
共享精神应助科研通管家采纳,获得10
18秒前
充电宝应助科研通管家采纳,获得10
18秒前
18秒前
完美世界应助科研通管家采纳,获得10
18秒前
18秒前
完美世界应助科研通管家采纳,获得10
18秒前
爆米花应助科研通管家采纳,获得10
18秒前
汉堡包应助科研通管家采纳,获得10
18秒前
CipherSage应助科研通管家采纳,获得10
18秒前
大模型应助科研通管家采纳,获得10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018581
求助须知:如何正确求助?哪些是违规求助? 7607923
关于积分的说明 16159460
捐赠科研通 5166192
什么是DOI,文献DOI怎么找? 2765226
邀请新用户注册赠送积分活动 1746816
关于科研通互助平台的介绍 1635366