Sleep EEG Event Detection Using Fuzzy_Neural Approach
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 2, Issue 12
Abstract
The wide variety of waveforms in EEG signals and the high non-stationary nature of many of them is one of the main difficulties to develop automatic detection systems for them. In sleep stage classification a relevant transient wave is the K-complex. This report comprehends the developing of new Fuzzy_Neural algorithm in order to achieve an automatic K-complex detection from EEG raw data. The Fuzzy c-means algorithm is used for the rough and rapid recognition of K-complex and the Neural Network classifier does the exact evaluation on the detected K-complex. This Pattern recognition technique is a hardware independent solution for the biomedical signal processing field. This represents a significant criterion for the objective assessment of a patient’s sleep quality.
Authors and Affiliations
Sapana Sonar
Keywords
Related Articles
- EP ID EP132927
- DOI -
- Views 62
- Downloads 0
OPTIMIZATION OF MIG WELDING PARAMETERS ON TENSILE STRENGTH OF ALUMINUM ALLOY BY TAGUCHI APPROACH
In present days Alloy of aluminum is widely used due to its versatility especially in automotive industry. Most of the component is made by casting but some may require welding too. These components are loaded static...
Reparametrization of Interval Bézier Curve on Rectangular and Circular Domain
Interval Bezier curve are new representation forms of parametric curves that can embody a complete description of coefficient errors. Using this new representation, the problem of lack of robustness in all state-of-the...
WIRELESS ELECTRONIC STETHOSCOPE USING ZIGBEE
In medical field any disease can be primarily accessed using an acoustic medical device that is a Stethoscope. The wireless electronic stethoscope can be designed by using microcontroller and data is transferred t...
SUB-TRIDENT FORM USING FUZZY AGGREGATION
This Paper deals with the solution to find the Optimal Path and the Optimal Solution with the help of Fuzzy Aggregation Operations such as Arithmetic Mean and Geometric Mean and by using Trapezoidal Fuzzy Numbers...
Classification of Transmission Line Faults Using Wavelet Transformer
In general fault analysis is carried out for a given system assuming various types of fault currents are estimated based on the configurations. It is proposed to implement Discrete Wavelet Transformer (DWT) approa...