Theoretical analysis of the mechanical framework was also carried out to establish the limits of the angular displacement and velocity of the finger tip as well finger tip force generation. The proposed design has been exposed to appropriate loading through the use of finite element analysis (FEA) to ensure that it is structurally sound. A biomimetric approach has been taken during the design process meaning that the artificial hand should replicate that of a human hand as far as is possible with due regard to functional requirements. A modular approach is taken in the design facilitating ease of manufacture and assembly, and more importantly, also allows the end user to easily replace SMA wires in the event of failure. It is proposed that the SMA wires be embedded intrinsically within the hand structure which will allow for significant flexibility for use either as a prosthetic hand solution, or as part of a complete lower arm prosthetic solution. This paper outlines a proposed mechanical design of a 12 degree-of-freedom SMA actuated artificial hand. A prosthetic device can be of great benefit to the amputee in the performance of everyday human tasks. The psychological and physical trauma associated with the loss of a human limb can severely impact on the quality of life of an amputee rendering even the most basic of tasks very difficult.
VOLUMETRIX MEDICAL PDF
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF We decided to use a modern RDF model and in a first phase transformed original data coming from the web-based Electronic Patient Record database TBase©. A core task is the implementation of a non-restricting open data structure for the various different data sources. Beside a collaborative aspect to create new research groups every single partner or institution of this science information centre making his own data available is allowed to search the whole data pool of the various involved centres. The Charité - University Hospital Berlin has established together with the German Research Foundation (DFG) a new information service centre for kidney diseases and transplantation (Open European Nephrology Science Centre - OpEN.SC). Important data from laboratory experiments as well as patient trials are available but come out of distributed resources. The amount and heterogeneity of data in biomedical research, notably in interdisciplinary fields, requires new methods for the collection, presentation and analysis of information. Experimental results demonstrate that the SVM approach gives the best performance. Classification performance is compared with artificial neural network and k-nearest neighbor classifiers. In SVM classification, sensitivity and specificity of 96.2% and 97.0% are achieved for the 32x32 pixel block sized data, respectively, with an overall accuracy of 96.6%. Cross-validated classification over a database of 46 images is implemented to evaluate the performance. Prostate images are acquired by the system consisting of a microscope, video camera and a digitizing board. Three kinds of textural features are extracted and used for the analysis: parameters of the Gauss- Markov random field (GMRF), correlation function and relative entropy. The objective of this paper, is to apply support vector machine (SVM) approach for the classification of cancerous and normal regions of prostate images.
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