scholarly journals Biomechanical device for quantification of parameters associated with the ‘sit-to-stand’ patients performance

2021 ◽  
Vol 31 (Supplement_2) ◽  
Author(s):  
Natacha Oliveira ◽  
Vitor Maranha ◽  
Nuno Cruz ◽  
Filipe Carvalho ◽  
Jorge Lains ◽  
...  
Keyword(s):  
Lower Limbs ◽  
Hand Position ◽  
Motor Rehabilitation ◽  
Test Protocol ◽  
Sit To Stand ◽  
Support Force ◽  
Time Position ◽  
Force Time ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

Abstract Background In Daily Living Activities, the ‘Sit-to-Stand’ movement is essential to carry out several tasks, many of them starting from sitting and needing to get up. This movement stimulates a set of important muscles in the context of physical-motor activity and lower limb rehabilitation procedures. This work presents an interactive biomechanical device, based on two instrumented arms, to monitor the support force and arms angle, necessary to perform the ‘Sit-to-Stand’ movement. Methods The prototype incorporates aluminum support and two tubular arms instrumented with eight strain gauges, connected to a NI data board and a PC, allowing the quantification of the force applied during the sit-to-stand performance as well as the angle of the arms. A Labview user interface interacts with the user and the data can be visualized and recorded during the time. Results The device has been tested with a group of healthy volunteers, performing a sit-to-stand test protocol from a chair. In all the tests, the force applied, and the hand position have been quantified during the time necessary to perform the task. Conclusions The biomechanical device provides the quantification and identification of the harm force and position during the sit-to-stand movement. The system can be used as a force-time/position-time analysis, providing the analysis of recovery in patients who are undergoing physical-motor rehabilitation procedures of the lower limbs, such as post-stroke patients and institutionalized geriatric populations. The device can also allow biofeedback stimuli in rehabilitation activities through a graphical computer interface, such as a game.

Lower-Limb Rehabilitation at Home

2021 ◽  
Vol 13 (2) ◽  
pp. 12-23
Author(s):  
Seanglidet Yean ◽  
Bu-Sung Lee ◽  
Chai Kiat Yeo
Keyword(s):  
Lower Limbs ◽  
Ageing Population ◽  
Joint Angles ◽  
Functional Activities ◽  
State Identification ◽  
Motion State ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation ◽  
Rehabilitation Exercise ◽  
At Home

Ageing causes loss of muscle strength, especially on the lower limbs, resulting in higher risk to injuries during functional activities. The path to recovery is through physiotherapy and adopt customized rehabilitation exercise to assist the patients. Hence, lowering the risk of incorrect exercise at home involves the use of biofeedback for physical rehabilitation patients and quantitative reports for clinical physiotherapy. This research topic has garnered much attention in recent years owing to the fast ageing population and the limited number of clinical experts. In this paper, the authors survey the existing works in exercise assessment and state identification. The evaluation results in the accuracy of 95.83% average classifying exercise motion state using the proposed raw signal. It confirmed that raw signals have more impact than using sensor-fused Euler and joint angles in the state identification prediction model.

scholarly journals Design and Simulation Analysis of a Robot-Assisted Gait Trainer with the PBWS System

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jiancheng (Charles) Ji ◽  
Yufeng Wang ◽  
Guoqing Zhang ◽  
Yuanyuan Lin ◽  
Guoxiang Wang
Keyword(s):  
Lower Limb ◽  
Degrees Of Freedom ◽  
Gait Cycle ◽  
Simulation Analysis ◽  
The Elderly ◽  
Lower Limbs ◽  
Robot Assisted ◽  
Limb Rehabilitation ◽  
Gait Trainer ◽  
Lower Limb Rehabilitation

In response to the ever-increasing demand of lower limb rehabilitation, this paper presents a novel robot-assisted gait trainer (RGT) to assist the elderly and the pediatric patients with neurological impairments in the lower limb rehabilitation training (LLRT). The RGT provides three active degrees of freedom (DoF) to both legs that are used to implement the gait cycle in such a way that the natural gait is not significantly affected. The robot consists of (i) the partial body weight support (PBWS) system to assist patients in sit-to-stand transfer via the precision linear rail system and (ii) the bipedal end-effector (BE) to control the motions of lower limbs via two mechanical arms. The robot stands out for multiple modes of training and optimized functional design to improve the quality of life for those patients. To analyze the performance of the RGT, the kinematic and static models are established in this paper. After that, the reachable workspace and motion trajectory are analyzed to cover the motion requirements and implement natural gait cycle. The preliminary results demonstrate the usability of the robot.

scholarly journals Design and Analysis of a Lower Limb Rehabilitation Training Component for Bedridden Stroke Patients

Machines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 224
Author(s):  
Xusheng Wang ◽  
Yongfei Feng ◽  
Jiazhong Zhang ◽  
Yungui Li ◽  
Jianye Niu ◽  
...  
Keyword(s):  
Lower Limb ◽  
Interventional Therapy ◽  
The Body ◽  
Lower Limbs ◽  
Linkage Mechanism ◽  
Training Module ◽  
Stroke Patients ◽  
Rehabilitation Training ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

Carrying out the immediate rehabilitation interventional therapy will better improve the curative effect of rehabilitation therapy, after the condition of bedridden stroke patients becomes stable. A new lower limb rehabilitation training module, as a component of a synchronous rehabilitation robot for bedridden stroke patients’ upper and lower limbs, is proposed. It can electrically adjust the body shape of patients with a different weight and height. Firstly, the innovative mechanism design of the lower limb rehabilitation training module is studied. Then, the mechanism of the lower limb rehabilitation module is simplified and the geometric relationship of the human–machine linkage mechanism is deduced. Next, the trajectory planning and dynamic modeling of the human–machine linkage mechanism are carried out. Based on the analysis of the static moment safety protection of the human–machine linkage model, the motor driving force required in the rehabilitation process is calculated to achieve the purpose of rationalizing the rehabilitation movement of the patient’s lower limb. To reconstruct the patient’s motor functions, an active training control strategy based on the sandy soil model is proposed. Finally, the experimental platform of the proposed robot is constructed, and the preliminary physical experiment proves the feasibility of the lower limb rehabilitation component.

Kinematics Simulation Analysis of a Kind of Pedal Rehabilitation Robot

2014 ◽  
Vol 602-605 ◽  
pp. 848-852
Author(s):  
Wen Long Wang ◽  
Ji Rong Wang
Keyword(s):  
Lower Limb ◽  
Simulation Analysis ◽  
Three Dimensional ◽  
Lower Limbs ◽  
Rehabilitation Robot ◽  
Movement Trajectory ◽  
Three Dimensional Model ◽  
Kinematics Simulation ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

This paper describes the design of the gait mechanism of pedal lower limb rehabilitation robot based on people’s heel movement trajectory curve in the normal walking. It is established the kinematics mathematical model of a pedal lower limbs rehabilitation robot and the simplified three-dimensional model with Pro/e software, then it is simulated kinematics using ADAMS software. The simulation result is shown that this pedal lower limbs rehabilitation robot can achieve the expected rehabilitation exercise and run smoothly. Kinematics analysis and simulation of pedal rehabilitation robot is provided the necessary theoretical basis and parameters for the study of lower limb rehabilitation machinery.

scholarly journals Concurrent design of a lower limb rehabilitation mechanism

Enfoque UTE ◽  
2018 ◽  
Vol 9 (4) ◽  
pp. 57-68
Author(s):  
José Saúl Muñoz Reina ◽  
Miguel Gabriel Villarreal Cervantes ◽  
Leonel German Corona Ramirez ◽  
Robero Castro Medina
Keyword(s):  
Structural Design ◽  
Optimization Problem ◽  
Low Cost ◽  
Lower Limbs ◽  
Robotic Systems ◽  
Concurrent Design ◽  
Dimensional Synthesis ◽  
Limb Rehabilitation ◽  
To Receive ◽  
Lower Limb Rehabilitation

The rehabilitation given by robotic systems is a choice for minimizing the recovery time of a patient and boost their muscular and skeletal capacity on a limb damaged. However, the high cost of these systems limits patients to receive these kind of treatments. The systems of one degree of freedom are a low cost alternative to health care and rehab at home. In this paper, the structural design of an 8-link mechanism for the rehabilitation of lower limbs is performed, based on the approach and solution of an optimization problem in which certain objectives are met, such as dimensional synthesis, and the minimizing of torque to make control easier.

scholarly journals Brain-Computer Interfaces Systems for Upper and Lower Limb Rehabilitation: A Systematic Review

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4312
Author(s):  
Daniela Camargo-Vargas ◽  
Mauro Callejas-Cuervo ◽  
Stefano Mazzoleni
Keyword(s):  
Systematic Review ◽  
Processing System ◽  
Lower Limbs ◽  
Brain Computer Interfaces ◽  
Eeg Signals ◽  
Computer Interfaces ◽  
Motor Intention ◽  
Limb Rehabilitation ◽  
Feedback Techniques ◽  
Lower Limb Rehabilitation

In recent years, various studies have demonstrated the potential of electroencephalographic (EEG) signals for the development of brain-computer interfaces (BCIs) in the rehabilitation of human limbs. This article is a systematic review of the state of the art and opportunities in the development of BCIs for the rehabilitation of upper and lower limbs of the human body. The systematic review was conducted in databases considering using EEG signals, interface proposals to rehabilitate upper/lower limbs using motor intention or movement assistance and utilizing virtual environments in feedback. Studies that did not specify which processing system was used were excluded. Analyses of the design processing or reviews were excluded as well. It was identified that 11 corresponded to applications to rehabilitate upper limbs, six to lower limbs, and one to both. Likewise, six combined visual/auditory feedback, two haptic/visual, and two visual/auditory/haptic. In addition, four had fully immersive virtual reality (VR), three semi-immersive VR, and 11 non-immersive VR. In summary, the studies have demonstrated that using EEG signals, and user feedback offer benefits including cost, effectiveness, better training, user motivation and there is a need to continue developing interfaces that are accessible to users, and that integrate feedback techniques.

Design of a New Lower-Limb Rehabilitation Machine

2017 ◽  
Vol 21 (3) ◽  
pp. 409-416 ◽  
Author(s):  
Jinhua She ◽  
◽  
Fajian Wu ◽  
Toshihiro Mita ◽  
Hiroshi Hashimoto ◽  
...  
Keyword(s):  
Lower Limb ◽  
Lower Limbs ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

Commercially available rehabilitation machines are bisymmetric, and the structure of the machines is fixed. Consequently, they cannot meet various requirements for lower-limb rehabilitation, and people have to adapt themselves to the machines to do exercises. To solve this problem, this paper presents a new kind of rehabilitation machine for the lower limbs. It is left-right asymmetric, and the structure and load of the machine can easily be adjusted to suit different requirements for lower limbs. A prototype of a half model of the machine for one leg is designed and built, and some results of preliminary tests are presented.

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