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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biosciences Biotechnology Research Asia</journalTitle>
          <issn>0973-1245</issn>
            <publicationDate>2016-06-20</publicationDate>
    
        <volume>12</volume>
        <issue>Spl.Edn.2</issue>

 
    <startPage>347</startPage>
    <endPage>355</endPage>

	 
      <doi>10.13005/bbra/2209</doi>
        <publisherRecordId>12930</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Heart Rate and Respiration Rate Measurement Using Hemodynamic Waves</title>

    <authors>
	 


      <author>
       <name>K. Mohana Sundaram</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>M. Sivasubramaniam</name>


		
	<affiliationId>1</affiliationId>

      </author>
    

	 


      <author>
       <name>C. Balaji</name>

		
	<affiliationId>1</affiliationId>
      </author>
    

	


	


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Department of EEE, Vel tech multitech, Chennai,Tamilnadu, India.</affiliationName>
    

		
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">The major cause of death in both urban and rural area peoples is due to heart
problems. Due to inacessibilty of testing facilities available at rural areas, most of the
people from suffer from cardiovascular disease (CVD).The common method adopted is
regular ECG check-ups for the detection of the risk factors of CVD. In this paper, a noninvasive
based propagation of hemodynamic waves for measurement of heart rate and
respiration rate is proposed. The blood volume pulse (BVP) from the forehead region by
using independent component analysis (ICA) in the recorded video of RGB color channels
is extracted. The patient forehead portion is observed by High Definition webcam. The
study finds that the above proposed method allows for well-organized pulse rate detection
by adopting lighting compensation technique and artifact reduction method in
measurement of Heart Rate and Respiration rate.</abstract>

    <fullTextUrl format="html">https://www.biotech-asia.org/vol12_nospl_edn2/heart-rate-and-respiration-rate-measurement-using-hemodynamic-waves/</fullTextUrl>



      <keywords language="eng">
        <keyword>Cardiovascular disease (CVD); Electrocardiogram (ECG); Hemodynamic waves; Blood volume pulse (BVP); Independent component analysis (ICA)</keyword>
      </keywords>

  </record>
</records>