Design of Human Knee Smart Prosthesis with Active Torque Control

Arteaga, Oscar; Terán, Héctor C.; Morales, V Hernán; Argüello, M Edison; Erazo, Maria I.; Ortiz, Marcelo; Morales, Jonathan J.

doi:10.18178/ijmerr.9.3.347-352

Cited by 6 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of Magnetorheological fluid (MRF) in the prosthetic field has increased significantly in recent years, as showed in Figure 1. Recent works propose using MRF in dampers and brakes for knee (Andrade et al, 2018; Arteaga et al, 2020b; Mousavi and Sayyaadi, 2018; Saini et al, 2021; Seid et al, 2019; Tak et al, 2019; Zuo et al, 2021) and ankle-foot (Negi et al, 2021; Vladu et al, 2021) prostheses. The researchers used MRF as a crucial component in vibration control or torque transmission systems to improve actuator performance (Arteaga et al, 2018a; de Vicente et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Magnetorheological fluid in prostheses: A state-of-the-art review

Dutra,

de Andrade,

Soares

et al. 2024

Journal of Intelligent Material Systems and Structures

View full text Add to dashboard Cite

Magnetorheological fluids (MRF) are intelligent materials that can vary their yield stress in response to an applied magnetic field. This characteristic, combined with active and multifunctional control, allows the development of actuators with fast response time, low energy consumption, long service life, and reduced dimensions and weights. Various studies have been conducted to improve MR dampers in prosthetic applications, including knees, ankle-foot, hands, and sockets. Here, we present a critical review of the progress of MRFs in the prosthetic field. In addition, research in prostheses’ design, optimization, and control of magnetorheological actuators is investigated, along with MRF modeling, mode of operation, type of MR actuator, classification, and working principle of MRF-based devices. Although MRFs are considered promising materials for designing novel prosthetic devices, this review shows that applications have been predominantly focused on lower limb prostheses. We conclude by discussing possible future applications and challenges that must be faced to enable and improve commercial applications based on MRF technology.

show abstract

Section: Introductionmentioning

confidence: 99%

Magnetorheological fluid in prostheses: A state-of-the-art review

Dutra,

de Andrade,

Soares

et al. 2024

Journal of Intelligent Material Systems and Structures

View full text Add to dashboard Cite

show abstract

“…Patients experiencing long-term osteoarthritis exhibit notable alterations in their usual gait pattern, including heightened external rotation, decreased articulation speed, and abnormal stance phase flexion that inadequately supports proper weight bearing [3]. A knee orthosis (KO) coupled with some damping mechanism is a relatively new concept, and the use of a magnetorheological (MR) brake is a promising application [4]. One of the major challenges is to devise a mechanism to significantly increase the mechanical advantage while keeping the weight of the device to a minimum by the use of a compact, lightweight gear reduction system.…”

Section: Introductionmentioning

confidence: 99%

Gait Phase Identification and Damping Control for Knee Orthosis Using Time Series Forest Classifier

Shiao,

Bhagat

2023

Applied Sciences

View full text Add to dashboard Cite

Knee orthosis plays a vital role in enhancing the wellbeing and quality of life of individuals suffering from knee arthritis. This study explores a machine-learning-based methodology for predicting a user’s gait subphase using inertial measurement units (IMUs) for a semiactive orthosis. A musculoskeletal simulation is employed with the help of existing experimental motion-capture data to obtain essential metrics related to the gait cycle, which are then normalized and scaled. A meticulous data capture methodology using foot switches is used for precise synchronization with IMU data, resulting in comprehensive labeled subphase datasets. The integration of simulation results and labeled datasets provides activation data for effective knee flexion damping following which multiple supervised machine learning algorithms are trained and evaluated for performances. The time series forest classifier emerged as the most suitable algorithm, with an accuracy of 86 percent, against randomized convolutional kernel transform, K-neighbor time series classifier, and long short-term memory–fully convolutional network, with accuracies of 68, 76, and 78, respectively, showcasing exceptional performance scores, thereby rendering it an optimal choice for identifying gait subphases and achieving the desired level of damping for magnetorheological brake-mounted knee orthosis based on simulated results.

show abstract

“…In recent years, different prosthetic parts have been manufactured and developed, such as knee parts (Arteaga et al, 2020;Zhang et al, 2021;Kadhim et al, 2020c;Wang et al, Figure 1. The parts of the lower limb prosthetic Figure 2.…”

Section: Introductionmentioning

confidence: 99%

Optimal Material Selection for Manufacturing Prosthetic Foot

Kadhim¹,

Hasan²,

Sadiq³

2022

JST

View full text Add to dashboard Cite

The foot is an essential part of the components of the prosthesis. Therefore, the selected materials’ mechanical properties, cost, and weight must be considered when manufacturing the prosthetic foot. This study studied the mechanical properties of selected materials used for prosthetic feet. The material chosen is Carbon Fiber, Glass fiber, and hybrid composite material. This study aims to simulate chosen materials to find the optimal material selection for manufacturing prosthetic feet by assuming boundary conditions, reaction forces, design consideration, and application. The simulation was done by the finite element analysis ANSYS-14.5 program. The result of the force plate test shows the ground reaction force equal to 750N at heel strike,700N at mid-stance, and 650N at the toe-off stage. The finite element result shows the maximum Von-Misses stress equal to 119MPa at the toe-off stage, and the hybrid composite material has the maximum safety factor. Furthermore, the results showed that the mechanical properties of the hybrid composite materials are the best, as the yield stress is 560MPa, the ultimate stress is 678MPa, and the modulus of elasticity is 6.2GPa. The result shows that the Hybrid composite material has excellent improvement in mechanical properties such as lightweight, stiffness, high mechanical properties, and cost-efficiency. Hence by considering the body weight of the amputee, gait cycle, and analyzing the material properties, the hybrid composite material is the best suitable should be selected to manufacture foot prostheses.

show abstract

Design of Human Knee Smart Prosthesis with Active Torque Control

Cited by 6 publications

References 6 publications

Magnetorheological fluid in prostheses: A state-of-the-art review

Magnetorheological fluid in prostheses: A state-of-the-art review

Gait Phase Identification and Damping Control for Knee Orthosis Using Time Series Forest Classifier

Optimal Material Selection for Manufacturing Prosthetic Foot

Contact Info

Product

Resources

About