scholarly journals Noninvasive Estimation of Joint Moments with Inertial Sensor System for Analysis of STS Rehabilitation Training

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Kun Liu ◽  
Jianchao Yan ◽  
Yong Liu ◽  
Ming Ye
Keyword(s):  
Lower Limb ◽  
Inertial Sensor ◽  
Angular Acceleration ◽  
Biomechanical Model ◽  
Sensor System ◽  
Wearable Sensor ◽  
Joint Moments ◽  
Camera System ◽  
Rehabilitation Training ◽  
Noninvasive Estimation

An original approach for noninvasive estimation of lower limb joint moments for analysis of STS rehabilitation training with only inertial measurement units was presented based on a piecewise three-segment STS biomechanical model and a double-sensor difference based algorithm. Joint kinematic and kinetic analysis using a customized wearable sensor system composed of accelerometers and gyroscopes were presented and evaluated compared with a referenced camera system by five healthy subjects and five patients in rehabilitation. Since there is no integration of angular acceleration or angular velocity, the result is not distorted without offset and drift. Besides, since there are no physical sensors implanted in the lower limb joints based on the algorithm, it is feasible to noninvasively analyze STS kinematics and kinetics with less numbers and types of inertial sensors than those mentioned in other methods. Compared with the results from the reference system, the developed wearable sensor system is available to do spatiotemporal analysis of STS task with fewer sensors and high degree of accuracy, to apply guidance and reference for rehabilitation training or desired feedback for the control of powered exoskeleton system.

A wearable sensor system for lower-limb rehabilitation evaluation using the GRF and CoP distributions

2015 ◽  
Vol 27 (2) ◽  
pp. 025701 ◽  
Author(s):  
Weijun Tao ◽  
Jianyun Zhang ◽  
Guangyi Li ◽  
Tao Liu ◽  
Fengping Liu ◽  
...  
Keyword(s):  
Lower Limb ◽  
Sensor System ◽  
Wearable Sensor ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

scholarly journals A Preliminary Test of Measurement of Joint Angles and Stride Length with Wireless Inertial Sensors for Wearable Gait Evaluation System

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Takashi Watanabe ◽  
Hiroki Saito ◽  
Eri Koike ◽  
Kazuki Nitta
Keyword(s):  
Evaluation System ◽  
Stride Length ◽  
Inertial Sensors ◽  
Inertial Sensor ◽  
Preliminary Test ◽  
Lower Limbs ◽  
Sensor System ◽  
Wearable Sensor ◽  
Joint Angles ◽  
Optical Motion

The purpose of this study is to develop wearable sensor system for gait evaluation using gyroscopes and accelerometers for application to rehabilitation, healthcare and so on. In this paper, simultaneous measurement of joint angles of lower limbs and stride length was tested with a prototype of wearable sensor system. The system measured the joint angles using the Kalman filter. Signals from the sensor attached on the foot were used in the stride length estimation detecting foot movement automatically. Joint angles of the lower limbs were measured with stable and reasonable accuracy compared to those values measured with optical motion measurement system with healthy subjects. It was expected that the stride length measurement with the wearable sensor system would be practical by realizing more stable measurement accuracy. Sensor attachment position was suggested not to affect significantly measurement of slow and normal speed movements in a test with the rigid body model. Joint angle patterns measured in 10 m walking with a healthy subject were similar to common patterns. High correlation between joint angles at some characteristic points and stride velocity were also found adequately. These results suggested that the wireless wearable inertial sensor system could detect characteristics of gait.

308 Estimation for Joints Moment of Lower Limb Using a Wearable Sensor System

2008 ◽  
Vol 2008 (0) ◽  
pp. _308-1_-_308-5_
Author(s):  
Kyoko SHIBATA ◽  
Yoshio INOUE ◽  
Rencheng Zheng ◽  
Tao Liu
Keyword(s):  
Lower Limb ◽  
Sensor System ◽  
Wearable Sensor

The Feasibility and Validity of a Wearable Sensor System to Assess the Stability of High-Functioning Lower-Limb Prosthesis Users

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Kyle T. Miller ◽  
Molly Russell ◽  
Terese Jenks ◽  
Kaddie Surratt ◽  
Kelly Poretti ◽  
...  
Keyword(s):  
Lower Limb ◽  
Sensor System ◽  
Wearable Sensor ◽  
High Functioning ◽  
Lower Limb Prosthesis ◽  
The Stability ◽  
Limb Prosthesis

Validation of an Inertial Sensor System for Physical Therapists to Quantify Movement Coordination During Functional Tasks

2018 ◽  
Vol 34 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Lindsey Tulipani ◽  
Mark G. Boocock ◽  
Karen V. Lomond ◽  
Mahmoud El-Gohary ◽  
Duncan A. Reid ◽  
...  
Keyword(s):  
Inertial Sensors ◽  
Physical Therapists ◽  
Inertial Sensor ◽  
Angular Displacement ◽  
Movement Patterns ◽  
Sensor System ◽  
Inertial System ◽  
Camera System ◽  
Mean Differences ◽  
Angular Displacements

Physical therapists evaluate patients’ movement patterns during functional tasks; yet, their ability to interpret these observations consistently and accurately is unclear. Physical therapists would benefit from a clinic-friendly method for accurately quantifying movement patterns during functional tasks. Inertial sensors, which are inexpensive, portable sensors capable of monitoring multiple body segments simultaneously, are a relatively new rehabilitation technology. We sought to validate an inertial sensor system by comparing lower limb and lumbar spine kinematic data collected simultaneously with a commercial inertial sensor system and a motion camera system while 10 subjects performed functional tasks. Mean and peak segment angular displacement data were calculated and compared between systems. Mean angular displacement root mean square error between the systems across all tasks and segments was <5°. Mean differences in peak displacements were generally acceptable (<5°) for the femur, tibia, and pelvis segments for all tasks; however, the inertial system overestimated lumbar flexion compared to the motion camera system. These data suggest that the inertial system is capable of measuring angular displacements within 5° of a system widely accepted for its accuracy. Standardization of sensor placement, better attachment methods, and improvement of inertial sensor algorithms will further increase the accuracy of the system.

scholarly journals On Expressive Features for Gait Analysis using Lower Limb Inertial Sensor Data

2020 ◽  
Vol 53 (2) ◽  
pp. 15990-15997
Author(s):  
Felix Laufer ◽  
Michael Lorenz ◽  
Bertram Taetz ◽  
Gabriele Bleser
Keyword(s):  
Gait Analysis ◽  
Lower Limb ◽  
Inertial Sensor ◽  
Sensor Data
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