AN INTEGRATED FRAMEWORK FOR PARALLEL TRAINING AND CLASSIFICATION OF ECG SIGNAL
Journal Title: Elysium Journal of Engineering Research and Management - Year 2015, Vol 2, Issue 5
Abstract
Recently, various techniques are developed to analyze and classify the Electrocardiograph (ECG) signal to know the threaten results. Many real time development tools such as VLSI, DSP, etc., are available to carry out this analysis process. During the implementation process, the problems addressed are circuit complexity and time computation due to the separate operation of training and classification. In existing works, the training of features of an ECG signal performed and stored in the database, the arrival of new data perform the comparison process to show the status of signal. But, in proposed work, parallel computation of training and classification optimize the circuit complexity and time consumption. Moreover, the integration of MATLAB with XILINX platform assures the suitability of proposed system in real time medical diagnosis applications. In this paper, a Discrete Fourier Transform (DFT) is used to extract the features of an ECG signal. Then, an approximate multiplier architecture in XILINX modifies the exponent processing element architecture with Gaussian Kernel (GK) function in QRS detection strategy optimizes the complexity level. Finally, the Support Vector Machine (SVM) classifier is used to classify the extracted features with the maximum accuracy. The proposed algorithms reduces the components used leads to power and time reduction. The comparative analysis between proposed integrated framework and existing methods confirms the effectiveness.
Authors and Affiliations
Ramya M, Karthikeyan P.
Keywords
Related Articles
- EP ID EP400055
- DOI -
- Views 134
- Downloads 0
Optimization of Region and Power with Routability Constrained Flip Flop Joining Process
The main factor considered during designing the in low power and high performance was the power consumption. It plays an important role in the above mentioned region. The concept of multi-bit flip–flop assembled structur...
A Survey on Several Techniques Used To Detect Selfish Node in MANET
Mobile Adhoc Network is a continuously self-configuring, infrastructure-less network of mobile devices connected without wires. Each device in a MANET is free to move independently in any direction, and will therefore ch...
COMPARATIVE ANALYSIS OF CANTILEVER TYPE MEMS DEVICE FOR HUMIDITY MEASUREMENT
This paper presents research on water content present in transformer oils. Online moisture measurements were analyzed by using different designs of MEMS humidity sensor. The measurement of humidity is of great importance...
PERFORMANCE ANALYSIS OF K-MEANS ALGORITHMS IN WEBLOG DATA
Web mining is used to discover interest patterns which can be applied to many real world problems like refining web sites, better understanding the user behavior, product approval etc. Data mining sof...
A Single-Phase Photovoltaic Boost-Buck inverter variable structure control for grid-connected systems
Module integrated converters (MICs) have been under rapid development for single-phase grid-tied photovoltaic applications. The capacitive energy storage implementation for the double-line-frequency power variation repre...