Performance Comparison Of Ann Classifiers For Sleep Apnea Detection Based On Ecg Signal Analysis Using Hilbert Transform

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2018, Vol 17, Issue 2

Abstract

In this paper, a methodology for sleep apnea detection based on ECG signal analysis using Hilbert transform is proposed. The proposed work comprises a sequential procedure of preprocessing, QRS complex detection using Hilbert Transform, feature extraction from the detected QRS complex and the feature reduction using principal component analysis (PCA). Finally, the classification of the ECG signal recordings has been done using two different artificial neural networks (ANN), one trained with Levenberg-Marquardt (LM) algorithm and the other trained with Scaled Conjugate Gradient (SCG) method guided by K means clustering. The result of classification of the input ECG record is as either belonging to Apnea or Normal category. The performance measures of classification using the two classification algorithms are compared. The experimental results indicate that the SCG algorithm guided by K means clustering (ANN-SCG) has outperformed the LM algorithm (ANN-LM) by attaining accuracy, sensitivity and specificity values as 99.2%, 96% and 97% respectively, besides the saving achieved in terms of reduced number of principal components. Profiling time and mean square error of the ANN classifier trained with SCG algorithm is significantly reduced by 58% and 83%, respectively, as compared to LM algorithm.

Authors and Affiliations

Jyoti S Bali, Anilkumar V Nandi, P S Hiremath

Keywords

Related Articles

Web Content Processing Method for Electronic Business Systems

The given article is devoted to the development of standardized methods and software Web content processing in e-business systems. The model of electronic content commerce systems is developed. The models of commercial W...

SIMULATED ANNEALING ALGORITHM FOR FEATURE SELECTION

In the process of physical annealing, a solid is heated until all particles randomly arrange themselves forming the liquid state. A slow cooling process is then used to crystallize the liquid. This process is known as si...

A New Similarity Measure for User-based Collaborative Filtering in Recommender Systems

Collaborative filtering is a popular approach in recommender Systems that helps users in identifying the items they may like in a wagon of items. Finding similarity among users with the available item ratings so as to pr...

A Heuristic Algorithm that Finds the Minimum and the Maximum of the Outputs of a Fuzzy Socio-political Model of E-democracy

Most of the techniques of nonlinear optimization assume the existence of a differential function, but there also exist other approaches. In this paper, we propose a non-differential algorithm that solves the problem of m...

Knowledge based System for Improving Design and Manufacturing Processes for Electrochemical MachiningIn Computer based Concurrent Engineering

The traditional design of product, the preceding constraints and limitations are considered sequentially. In order to reduce the product development cycle time and cost and increase quality and productivity, concurrent (...

Download PDF file
  • EP ID EP649762
  • DOI 10.24297/ijct.v17i2.7616
  • Views 97
  • Downloads 0

How To Cite

Jyoti S Bali, Anilkumar V Nandi, P S Hiremath (2018). Performance Comparison Of Ann Classifiers For Sleep Apnea Detection Based On Ecg Signal Analysis Using Hilbert Transform. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 17(2), 7312-7325. https://europub.co.uk/articles/-A-649762