Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Estimation of Ground Reaction Forces Using Low-Cost Instrumented Forearm Crutches
Date
2018-06-01
Author
Seylan, Çağlar
Saranlı, Uluç
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
255
views
0
downloads
Cite This
Instrumented crutches are useful for many rehabilitation tasks, including monitoring the correctness of crutch use, analyzing gait properties for patients with lower-limb impairments, as well as providing sensory data for controlling lower-body robotic orthoses. In this paper, we describe the design and analysis of an instrumented crutch system equipped with low-cost accelerometer and pressure sensors to estimate all components of the ground reaction force (GRF), providing a well-defined and physically meaningful sensory output for practical applications. We propose an angle-dependent quadratic model to map pressure and inclination data to force components, which we identify using least-squares methods. Through systematic characterization experiments, we first show that our model can predict GRF vectors with less than 7% rms errors in all axes for fixed crutch angles used for training. Subsequently, we generalize the model to crutch angles other than those used for training, showing that rms estimation errors remain below 7% for all axes. Finally, we assess measurement accuracy and performance under dynamic loading conditions with time-varying crutch angles, showing that errors still remain below 8% under realistic conditions.
Subject Keywords
Force measurement
,
Force-resistive sensors
,
Istrumented crutch
,
Least-squares optimization
,
System identification
URI
https://hdl.handle.net/11511/40183
Journal
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
DOI
https://doi.org/10.1109/tim.2018.2799019
Collections
Department of Computer Engineering, Article
Suggestions
OpenMETU
Core
Measurement of AC magnetic field distribution using magnetic resonance imaging
Ider, YZ; Muftuler, LT (1997-10-01)
Electric currents are applied to body in numerous applications in medicine such as electrical impedance tomography, cardiac defibrillation, electrocautery, and physiotherapy. If the magnetic field within a region is measured, the currents generating these fields can be calculated using the curl operator. In this study, magnetic fields generated within a phantom by currents passing through an external wire is measured using a magnetic resonance imaging (MRI) system, A pulse sequence that is originally design...
Methods and technologies for gait analysis
Sürer, Elif (Springer-Verlag London Limited, 2011-01-01)
Gait analysis is a highly active research area with a wide range of applications in clinical settings, surveillance and human-computer interaction. The focus of this chapter is the clinical aspect of gait analysis, in which accuracy and precision are essential. Subsequently, the chapter focuses on various techniques of measuring gait and introduces taxonomy for their analysis. From this perspective, motion measurements using motion capture and inertial sensors are presented. Motion capture techniques are an...
Numerical aspects of anisotropic failure in soft biological tissues favor energy-based criteria: A rate-dependent anisotropic crack phase-field model
Gueltekin, Osman; Dal, Hüsnü; Holzapfel, Gerhard A. (2018-04-01)
A deeper understanding to predict fracture in soft biological tissues is of crucial importance to better guide and improve medical monitoring, planning of surgical interventions and risk assessment of diseases such as aortic dissection, aneurysms, atherosclerosis and tears in tendons and ligaments. In our previous contribution (Gultekin et al., 2016) we have addressed the rupture of aortic tissue by applying a holistic geometrical approach to fracture, namely the crack phase-field approach emanating from va...
Identification of a vertical hopping robot model via harmonic transfer functions
Uyanik, Ismail; Ankaralı, Mustafa Mert; Cowan, Noah J.; Saranlı, Uluç; Morgul, Omer (2016-05-01)
A common approach to understanding and controlling robotic legged locomotion is the construction and analysis of simplified mathematical models that capture essential features of locomotor behaviours. However, the representational power of such simple mathematical models is inevitably limited due to the non-linear and complex nature of biological locomotor systems. Attempting to identify and explicitly incorporate key non-linearities into the model is challenging, increases complexity, and decreases the ana...
Control of constrained spatial three-link flexible manipulators
KILIÇASLAN, SİNAN; Özgören, Mustafa Kemal; Ider, S. Kemal (2007-06-29)
This study deals with the force and motion control of a spatial three-link articulated manipulator with flexible second and third links. In order to reduce the complexity of the dynamic equations each link is modelled as if unconnected and the joint connections are expressed as constraint equations. Then the joint forces are eliminated and the number of equations is reduced by substituting the acceleration level constraint equations into the dynamic equations. The dynamic equations are partitioned as pseudo...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Ç. Seylan and U. Saranlı, “Estimation of Ground Reaction Forces Using Low-Cost Instrumented Forearm Crutches,”
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
, pp. 1308–1316, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40183.