To overcome the inherent deficiencies of conventional timefrequency analysis (TFA) methods, i.e., different TFA methods or the same TFA method with different control parameters will present different results for the s...
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Stimulation trains of different combination of frequency and pulse-width can be used to generate the muscle force required to perform a functional task during functional electrical stimulation (FES). However, with rep...
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Stimulation trains of different combination of frequency and pulse-width can be used to generate the muscle force required to perform a functional task during functional electrical stimulation (FES). However, with repetitive activation, the muscle will fatigue and an increase in either the frequency or the pulse-width of stimulation will be required to enable the targeted muscle force to be maintained. This study compares isometric performance and paraplegic muscle fatigue using two different protocols: protocol 1 uses 5 different stimulation frequencies varying from 10Hz to 50Hz with other parameters fixed; and protocol 2 uses 5 different stimulation pulse-widths varying from 200μs to 400μs with other parameters fixed. This range is selected based on a suitable frequency and a pulse width for paraplegic. Muscle performance is assessed by measuring percent decline in peak force and maximum muscle force for different stimulation frequencies and pulse-widths. A simple rule is introduced to avoid spasm or injury to the leg during FES application. The results from this study show that higher frequency gives faster muscle fatigue and the selection of force required to perform a functional task is important for obtaining the optimum stimulation parameters. Stimulation pulse-width has no significant effect on the muscle fatigue but highly affects the maximum muscle force. The rule proposed is important and is found to be useful to avoid leg injury, spasm or uncomfortable feeling during FES application. This rule also can be used to choose optimum stimulation parameters.
FIR (finite impulse response) model is widely used in tackling the problem of the impulse response estimation with quantized measurements. Its use is, however, limited, in the case when a high order FIR model is requi...
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FIR (finite impulse response) model is widely used in tackling the problem of the impulse response estimation with quantized measurements. Its use is, however, limited, in the case when a high order FIR model is required to capture a slowly decaying impulse response. This is because the high variance for high order FIR models would override the low bias and thus lead to large MSE (mean square error). In this contribution, we apply the recently introduced regularized FIR model approach to the problem of the impulse response estimation with binary measurements. We show by Monte Carlo simulations that the proposed approach can yield both better accuracy and better robustness than a recently introduced FIR model based approach.
This paper presents the development of paraplegic hamstrings muscle model with Adaptive Neuro-Fuzzy Inference system (ANFIS). A series of experiments using Functional Electrical Stimulation (FES) with different stimul...
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This paper presents the development of paraplegic hamstrings muscle model with Adaptive Neuro-Fuzzy Inference system (ANFIS). A series of experiments using Functional Electrical Stimulation (FES) with different stimulation frequencies, pulse width and pulse duration to investigate the impact on muscle output torque are conducted. The data that is obtained is used to develop the paraplegic hamstrings muscle model. 588 training data and 220 testing data set are used in the development of hamstrings muscle model. The ANFIS hamstrings muscle model is found to be the most accurate muscle model representing paraplegic hamstrings muscle model. The established model is then used to predict the behaviour of the underlying system and will be used in the future for the design and evaluation of various control strategies.
The use of simulators greatly facilitates the work of specialists. Their usage produces results that could prevent errors in real systems. Using a simulator for industrial plants would reduce the programming time of t...
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ISBN:
(纸本)9781467322591
The use of simulators greatly facilitates the work of specialists. Their usage produces results that could prevent errors in real systems. Using a simulator for industrial plants would reduce the programming time of their automation. We propose to develop a simulation platform of industrial machinery with 3D virtual reality, to carry out experiments of PLC (Programable Logic controllers) programming. A physic engine will be needed to be integrated in the application with a graphic interface which will be used to design, to programm and to visualize the simulation of the plant. Showing the first results of a first prototype, being the most general possible in programming to demonstrate the possibilities of such software both educational and commercial.
The present paper deals with fault tolerant control for linear dynamics with additive disturbances. The control action is generated based on information collected from a redundant, multi-sensors network. Delays that m...
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The present paper deals with fault tolerant control for linear dynamics with additive disturbances. The control action is generated based on information collected from a redundant, multi-sensors network. Delays that may appear during plant measurements transmission through real communication channels are considered as faults. Depending on presence of delay in feedback loop, different invariant sets can be computed. We show that fault tolerant control can be achieved through invariant sets separation with respect to different delay values. Sets separation is accomplished for specific values of the reference signal. Therefore, we introduce in the loop a reference governor which is designed by a receding horizon technique. Thus, we provide reference signals which practically guarantee fault detection and identification in real time.
This paper discusses period properties of some linear maps which are employed in various applications such as image encryption, public key cryptography and watermarking. Conditions for the bijectiveness of such maps a...
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This paper discusses period properties of some linear maps which are employed in various applications such as image encryption, public key cryptography and watermarking. Conditions for the bijectiveness of such maps and the existence of a period are presented. Period structure is also given. Then, the recurrence equation theory is adopted to address the period distribution problem. Finally, a framework to solve the problem is proposed with a demonstration of its effectiveness and efficiency into some applications.
Brain Computer Interface (BCI) provides a direct communication channel from brain to peripheral equipment. Common Spatial Patterns (CSP) is wildly used to extract features for electroencephalogram (EEG). However, basi...
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This paper presents the development of paraplegic joint model using Artificial Neural Network (ANN). A series of experiments using Functional Electrical Stimulation (FES) with different stimulation frequencies, pulse ...
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Approximate Entropy (ApEn) is a regularity statistic that quantifies the unpredictability of fluctuations in a time series and can classify complex systems. This study, ApEn is used to extract features from motor imag...
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