Email this article Problems processing LF signals in of intellectual information systems
- Authors: Tabakov Y.G.1
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Affiliations:
- Voronezh State Academy of Forestry Engineering
- Issue: Vol 21, No 6 (2015)
- Pages: 464-468
- Section: Digital processing of signals and images
- Published: 15.06.2015
- URL: https://journals.eco-vector.com/1684-6400/article/view/704615
- ID: 704615
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Abstract
The article describes and shows the basic problems in the processing of low-frequency signals removed from the cerebral cortex and possible solutions. Proposed a specially designed mathematical models and algorithms for processing low-frequency signals. These model and algorithms constructed on a specially designed and modified Daubechies and Morlaix wavelet-transform, which allow processing low-frequency signals in real time and analyze the data obtained. Present detailed block diagram of the low-frequency signal processing module, which demonstrates the work of the mathematical model. Present a block diagram of the developed mathematical algorithm demonstrating phased operation of processing from low-frequency signal captured from human cerebral cortex. Obtained in the course research results, as well as the developed mathematical models and algorithms can be used in specialized medical institutions dealing with problems rehabilitation of the musculoskeletal system of the person. The purpose of such research — process and analyze low frequency signals taken from the human cerebral cortex, and the data obtained reveal the control signals for intellectual simulators to restore the musculoskeletal system of the person.
About the authors
Yu. G. Tabakov
Voronezh State Academy of Forestry Engineering
Author for correspondence.
Email: vurik204@rambler.ru
Graduate Student
Russian Federation, VoronezhReferences
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