Myoelectric patternrecognition (MPR) based strategies are widely adopted in prostheses control to restore lost limb functions in amputees. In the MPR pipeline, high density (HD) surface electromyogram (sEMG) signals ...
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ISBN:
(纸本)9781665410939
Myoelectric patternrecognition (MPR) based strategies are widely adopted in prostheses control to restore lost limb functions in amputees. In the MPR pipeline, high density (HD) surface electromyogram (sEMG) signals are acquired from a grid of electrodes placed on the amputees' specific residual arm muscles sites and then, processed to control the prosthetic device. Typically, electrode channels pick up sEMG signals from various muscles, which are then combined to decode individual targeted movements towards initiating requisite control for the device. Considering the significance of neural information across channels, especially in the case of transhumeral (TRH) amputees who often have limited residual arm muscles, we investigated the impact of two different electrode configurations (as placed on four different muscle groups) on limb movement intent classification. A total of four TRH patients were recruited, and HD-sEMG signals were acquired using a 32-channel recording system placed on different muscles of their residual limbs. The recorded signals were processed with a Wiener filter (WF), and a widely used time-domain feature with a linear discriminant analysis (LDA) classifier was implemented to decode the motion intents. From the experimental results, it can be concluded that the performance recorded by each muscle group is not dependent on the number of channels. Also, for both configurations, specific muscles play an important role in some tasks. It is anticipated that findings from this study would aid researchers in their experimental design for high-level upper limb amputees towards realizing a reliable and effective myoelectric PR control system.
A voltammetric electronic tongue was developed for detecting energetic compounds in water, providing a rapid, real time method. For the presented study, a glassy carbon electrode, a platinum electrode, and a gold elec...
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ISBN:
(纸本)9781467327091;9781467327084
A voltammetric electronic tongue was developed for detecting energetic compounds in water, providing a rapid, real time method. For the presented study, a glassy carbon electrode, a platinum electrode, and a gold electrode were used to analyze target explosives, nitrotoluene, nitrobenzene, 2,4-dinitrotoluene, and 2,4,6-trinitrotoluene in water. A compact potentiostat was developed to conduct cyclic voltammetry and for extracting data from the electrode sensor array. Finally, patternrecognition methods, such as principal components analysis and a decision tree method are presented for interpretation and discrimination of results.
The maximization of the effective use of the planet's diminishing physical resources through the use of information resources seems to be one of the most significant mandates for the new century. The plethora and ...
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ISBN:
(纸本)9788022728560
The maximization of the effective use of the planet's diminishing physical resources through the use of information resources seems to be one of the most significant mandates for the new century. The plethora and variety of environmental data (text, diagrams, images, videos, and other types of measurements), together with the fact that they are stored in worldwide distributed databases, creates new challenges when attempting to retrieve relevant information. Furthermore, this information is usually attached to time and space. The aim of this work is to present Information System Architecture for content-based multimedia and information retrieval in Environmental Information Systems using intelligent techniques and to discuss some of the open research issues in this area.
We present an overview of three-dimensional (3D) optical imaging systems for real-time automated 3D identification of biological microorganisms without time and labor intensive bio-chemical processing. The presented m...
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We present an overview of three-dimensional (3D) optical imaging systems for real-time automated 3D identification of biological microorganisms without time and labor intensive bio-chemical processing. The presented method is based on optical 3D coherent imaging systems with digital computers to perform specially developed microorganisms identification algorithms. [ABSTRACT FROM AUTHOR]
Textures are replications, symmetries and combinations of various basic patterns, usually with some random variation one of the gray-level statistics. This article proposes a new approach to Segment texture images. Th...
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ISBN:
(纸本)9759845849
Textures are replications, symmetries and combinations of various basic patterns, usually with some random variation one of the gray-level statistics. This article proposes a new approach to Segment texture images. The proposed approach proceeds in 2 stages. First, in this method, local texture information of a pixel is obtained by fuzzy texture unit and global texture information of an image is obtained by fuzzy texture spectrum. The purpose of this paper is to demonstrate the usefulness of fuzzy texture spectrum for texture Segmentation. The 2(nd) Stage of the method is devoted to a decision process, applying a global analysis followed by a fine segmentation, which is only focused on ambiguous points. The above Proposed approach was applied to brain image to identify the components of brain in turn, used to locate the brain tumor and its Growth rate.
In this study, we examined the hypothesis that two distinct sets of cortical areas subserve two dissociable neurophysiological mechanisms of visual recognition. We posited that one such mechanism uses category specifi...
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In this study, we examined the hypothesis that two distinct sets of cortical areas subserve two dissociable neurophysiological mechanisms of visual recognition. We posited that one such mechanism uses category specific cues extractable from the viewed pattern for the purpose of recognition. The other mechanism matches the pattern to be recognized with a pre-encoded memory representation of the pattern. In order to distinguish the cortical areas active in these two strategies, we measured changes in regional cerebral blood flow (rCBF) with positron emission tomography (PET) and O-15 Butanol as the radiotracer. Ten subjects performed patternrecognition tasks based on three different short-term memory conditions and a condition based on visual categories of the patterns. When subjects used representations of the patterns held in short-term memory for the purpose of recognition, the precunei were bilaterally activated. recognition based on visual categories of the patterns activated the right (R) angular gyrus, left (L) inferior temporal gyrus, and L superior parieto-occipital cortex. These findings demonstrate that the R angular gyrus, the L inferior temporal gyrus, and the L superior Farieto-occipital cortex are associated with recognition of patterns based on visual categories,whereas recognition of patterns using memory representations is associated with the activity of the precunei. This study is the first to show functional dual dissociation of active cortical fields for different mechanisms of visual patternrecognition. (C) 2001 Wiley-Liss, Inc.
In this paper,a new network-growing method for multilayer FNN is *** has the following distinctive *** network starts training with a small network and gradually grows its hidden *** activation function of its output ...
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In this paper,a new network-growing method for multilayer FNN is *** has the following distinctive *** network starts training with a small network and gradually grows its hidden *** activation function of its output neurons is linear ***,its application in patternrecognition is also *** result show that the new algorithm achieves higher recognition rate and it converges faster than conventional BP algorithm and it can avoid the trap of local minimum through increasing the hidden neurons.
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