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  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biomedical and Pharmacology Journal</journalTitle>
          <issn>0974-6242</issn>
            <publicationDate>2018-12-25</publicationDate>
    
        <volume>11</volume>
        <issue>4</issue>

 
    <startPage>1841</startPage>
    <endPage>1849</endPage>

	 
      <doi>10.13005/bpj/1556</doi>
        <publisherRecordId>24826</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Comparative Analysis of Heart Rate Variability Parameters for Arrhythmia and Atrial Fibrillation using ANOVA</title>

    <authors>
	 


      <author>
       <name>Kirti </name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Harsh Sohal </name>


		
	<affiliationId>1</affiliationId>

      </author>
    

	 


      <author>
       <name>Shruti Jain</name>

		
	<affiliationId>1</affiliationId>
      </author>
    

	


	


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Electronics and Communication Engineering Department, JaypeeUniversity Information Technology, Solani, H.P India.</affiliationName>
    

		
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">Heart Rate Variability (HRV) is an important criterion to check the cardiac health. Sudden HRV signifies the unhealthy condition of the heart, particularly when the person is suffering from a cardiac disease. HRV parameters on different patients of different ages, gender and health conditions are observed using time domain, geometrical domain and frequency domain. Statistical comparison is done on three different databases MIT/BIH Normal Sinus Rhythm (NSR), MIT/BIH Arrhythmia (AR) and MIT/BIH Atrial Fibrillation (AF) using Analysis of Variance (ANOVA) technique. We have extracted twenty HRV features from all the three domains, which show weak, moderate or strong significant changes as per the relation during comparison with respective databases. Out of twenty only nine features are selected which shows noticeable difference between three databases. Later, the selected features will be used for classification in future.</abstract>

    <fullTextUrl format="html">https://biomedpharmajournal.org/vol11no4/comparative-analysis-of-heart-rate-variability-parameters-for-arrhythmia-and-atrial-fibrillation-using-anova/</fullTextUrl>

<keywords language="eng">

      
        <keyword>Analysis of Variance</keyword>
      

      
        <keyword> Finite Impulse Response</keyword>
      

      
        <keyword> Heart Rate</keyword>
      

      
        <keyword> Heart Rate Variability</keyword>
      
</keywords>
  </record>
</records>