12 research outputs found
Robust Control of the Knee Joint Angle of Paraplegic Patients considering Norm-Bounded Uncertainties
A proposal for the knee position control design of paraplegic patients with functional electrical stimulation (FES) using control systems and considering norm-bounded uncertainties is presented. A state-space representation of the knee joint model of the paraplegic patient with its nonlinearity is also demonstrated. The use of linear matrix inequalities (LMIs) in control systems with norm-bounded uncertainties for asymptotic stability is analyzed. The model was simulated in the Matlab environment. The matrix K of state space feedback was obtained through LMIs
Framework of Lower-Limb Musculoskeletal Modeling for FES Control System Development
In recent years, the demand of interest in functional electrical stimulation (FES) is increasing due to the applications especially on spinal cord injury (SCI) patients. Numerous studies have been done to regain mobility function and for health benefits especially due to FES control development for the paralyzed person. In this paper, the existing general framework modeling methods have been reviewed and the new modeling framework approach has been discussed. In general modeling and simulation can greatly facilitate to test and tune various FES control strategies. In fact, the modeling of musculoskeletal properties in people with SCI is significantly challenging for researchers due to the complexity of the system. The complexities are due to the complex structural anatomy, complicated movement and dynamics, as well as indeterminate muscle function. Although there are some models have been developed, the complexities of the system resulting mathematical representation that have a large number of parameters which make the model identification process even more difficult. Therefore, a new approach of modeling has been presented which is comparatively less burdened compared with mathematical representations. Hence this musculoskeletal model can be used for FES control system development
Analysis and control of FES-assisted paraplegic walking with wheel walker.
The number of people with spinal cord injury (SCI) is increasing every year and
walking has been found to be the most exciting and important prospect to these
patients to improve their quality of life. Many individuals with incomplete SCI
have the potential to walk and everyone of them wants to try. Unfortunately up to
now, there is less than one third of patients could walk again after SCI. Residual
function, the orthotic support, energy expenditure, patient motivation and control
technique are some of the factors that influence the walking outcome of spinal cord
injured people. In this thesis, a series of studies are carried out to investigate the
possibility of enhancing the performance of the functional electrical stimulation
(PES) assisted paraplegic walking with wheel walker through the development and
implementation of intelligent control technique and spring brake orthosis (SBO)
with full utilization of the voluntary upper body effort. The main aim of this thesis
is to enable individuals with complete paraplegia to walk again with maximum
performance and the simplest approach as possible.
Firstly, before simulation of the system can be made, it is important to select the
right model to represent the actual plant. In this thesis, the development of a
humanoid and wheel walker models are carried out using MSC.visualNastran4D
(vN4D) software and this is integrated with Matlab Simulink® for simulation. The
newly developed quadriceps and hamstrings muscle models from the series of
experiments are used to represent subject muscles after comparison and validation
with other two well-known muscle models are performed.
Several experiments are conducted to investigate the effect of stimulation frequency
and pulse-width in intermittent stimulation with isometric measurement from
paraplegic subjects. The results from this work can serve as a guidance to determine
the optimum stimulation parameters such as frequency and pulse-width to reduce
muscle fatigue during PES application. The ability test is introduced to determine
the maximum leg force that can be applied to the specific paraplegic subject during
FES functional task with minimum chance of spasm and leg injury.
Investigations are carried out on the control techniques implemented for FES
walking with wheel walker. PID control and fuzzy logic control (FLC) are used to
regulate the electrical stimulation required by the quadriceps and hamstrings
muscles in order to perform the FES walking manoeuvre according to predefined
walking trajectory. The body weight transfer is introduced to increase the efficiency
of FES walking performance. The effectiveness of body weight transfer and control
strategy to enhance the performance of FES walking and reduce stimulation pulses
required is examined.
Investigations are carried out on the effectiveness of spring brake orthosis (SBO)
for FES assisted paraplegic walking with wheel walker. A new concept in hybrid
orthotics provides solutions to the problems that affect current 'hybrid orthosis,
including knee and hip flexion without relying on the withdrawal reflex or a
powered actuator and foot-ground clearance without extra upper body effort. The
use of SBO can also eliminate electrical stimulation pulses required by the
hamstrings muscle for the same FES walking system.
Further improvement of the FES walking system is achieved by introducing finite
state control (FSC) to control the switching time between springs, brakes and
electrical stimulation during FES assisted walking with wheel walker with the
combInation of FLC to regulate the electrical stimulation required for the knee
extension. The results show that FSC can be used to accurately control the
switching time and improve the system robustness and stability
Using primary afferent neural activity for predicting limb kinematics in cat
Kinematic state feedback is important for neuroprostheses to generate stable and adaptive movements of an extremity. State information, represented in the firing rates of populations of primary afferent neurons, can be recorded at the level of the dorsal root ganglia (DRG). Previous work in cats showed the feasibility of using DRG recordings to predict the kinematic state of the hind limb using reverse regression. Although accurate decoding results were attained, these methods did not make efficient use of the information embedded in the firing rates of the neural population. This dissertation proposes new methods for decoding limb kinematics from primary afferent firing rates. We present decoding results based on state-space modeling, and show that it is a more principled and more efficient method for decoding the firing rates in an ensemble of primary afferent neurons. In particular, we show that we can extract confounded information from neurons that respond to multiple kinematic parameters, and that including velocity components in the firing rate models significantly increases the accuracy of the decoded trajectory. This thesis further explores the feasibility of decoding primary afferent firing rates in the presence of stimulation artifact generated during functional electrical stimulation. We show that kinematic information extracted from the firing rates of primary afferent neurons can be used in a 'real-time' application as a feedback for control of FES in a neuroprostheses. It provides methods for decoding primary afferent neurons and sets a foundation for further development of closed loop FES control of paralyzed extremities. Although a complete closed loop neuroprosthesis for natural behavior seems far away, the premise of this work argues that an interface at the dorsal root ganglia should be considered as a viable option
The Development of an assistive chair for elderly with sit to stand problems
A thesis submitted to the University of Bedfordshire in partial fulfilment of the requirements for the degree of Doctor of PhilosophyStanding up from a seated position, known as sit-to-stand (STS) movement, is one of the most frequently performed activities of daily living (ADLs). However, the aging generation are often encountered with STS issues owning to their declined motor functions and sensory capacity for postural control. The motivated is rooted from the contemporary market available STS assistive devices that are lack of genuine interaction with elderly users. Prior to the software implementation, the robot chair platform with integrated sensing footmat is developed with STS biomechanical concerns for the elderly.
The work has its main emphasis on recognising the personalised behavioural patterns from the elderly users’ STS movements, namely the STS intentions and personalised STS feature prediction. The former is known as intention recognition while the latter is defined as assistance prediction, both achieved by innovative machine learning techniques. The proposed intention recognition performs well in multiple subjects scenarios with different postures involved thanks to its competence of handling these uncertainties. To the provision of providing the assistance needed by the elderly user, a time series prediction model is presented, aiming to configure the personalised ground reaction force (GRF) curve over time which suggests successful movement. This enables the computation of deficits between the predicted oncoming GRF curve and the personalised one. A multiple steps ahead prediction into the future is also implemented so that the completion time of actuation in reality is taken into account
Robotics 2010
Without a doubt, robotics has made an incredible progress over the last decades. The vision of developing, designing and creating technical systems that help humans to achieve hard and complex tasks, has intelligently led to an incredible variety of solutions. There are barely technical fields that could exhibit more interdisciplinary interconnections like robotics. This fact is generated by highly complex challenges imposed by robotic systems, especially the requirement on intelligent and autonomous operation. This book tries to give an insight into the evolutionary process that takes place in robotics. It provides articles covering a wide range of this exciting area. The progress of technical challenges and concepts may illuminate the relationship between developments that seem to be completely different at first sight. The robotics remains an exciting scientific and engineering field. The community looks optimistically ahead and also looks forward for the future challenges and new development
Biomechatronics: Harmonizing Mechatronic Systems with Human Beings
This eBook provides a comprehensive treatise on modern biomechatronic systems
centred around human applications. A particular emphasis is given to exoskeleton
designs for assistance and training with advanced interfaces in human-machine
interaction. Some of these designs are validated with experimental results which
the reader will find very informative as building-blocks for designing such systems.
This eBook will be ideally suited to those researching in biomechatronic area with
bio-feedback applications or those who are involved in high-end research on manmachine interfaces. This may also serve as a textbook for biomechatronic design
at post-graduate level