Characterization Speckle Effect on Measurement of Blood Flow Using Sensor Based on Self-Mixing Interferometry

Main Authors: Dzulfikar, Ahmad Zaki; Department of Physics, Institut Teknologi Sepuluh Nopember, Rubiyanto, Agus; Department of Physics, Institut Teknologi Sepuluh Nopember, Endarko, Endarko; Department of Physics, Institut Teknologi Sepuluh Nopember
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Terbitan: Institut Teknologi Sepuluh Nopember , 2019
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Online Access: http://iptek.its.ac.id/index.php/jps/article/view/5116
http://iptek.its.ac.id/index.php/jps/article/view/5116/3500
ctrlnum article-5116
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Characterization Speckle Effect on Measurement of Blood Flow Using Sensor Based on Self-Mixing Interferometry</title><creator>Dzulfikar, Ahmad Zaki; Department of Physics, Institut Teknologi Sepuluh Nopember</creator><creator>Rubiyanto, Agus; Department of Physics, Institut Teknologi Sepuluh Nopember</creator><creator>Endarko, Endarko; Department of Physics, Institut Teknologi Sepuluh Nopember</creator><subject lang="en-US">self-mixing interferometry; speckle effect; continuous wavelet transform</subject><description lang="en-US">The applications of Self-Mixing Interferometry (SMI) have been popular in many &#xFB01;elds, including biomedical signals. The self-mixing effect occurs from the coherent back-coupling of the reflected or scattered lights from a target surface. The reflected lights will be detected by a photodiode which has been integrated in one device with the laser. That's why the SMI sensor is quite practical, affordable and simple. However, SMI has the serious problem with the presence of speckle effect in measured signal. The speckle effect produced by the human tissue is called &#x201C;biospeckles.&#x201D; The biospeckles observed from the skin tissues contain information about the blood &#xFB02;ow in dermal capillarities, heartbeat, and others. These biospeckle patterns cause random modulations that will be detected as random amplitude and spectrum by photodiode. In this paper we present a technique to characterize speckle effect on measurement of blood flow in fingertip using sensor based on Self-Mixing Interferometry (SMI). We used a laser diode 785 nm as a light source and a constant current of 70 mA as a current source which is irradiated on the skin tissue in the fingertip. Then, the backscattered light reenters the laser cavity and it will be detected by photodiode. The SMI signal with speckle effect will be processed by Continuous Wavelet Transform for reconstruction and detection fringe. Signal processing results show that the number of detected speckle fringes depends largely on determining the number of wavelet waves and the scale used. The fringe pattern resulting from the reconstruction of the signal can be used to determine the frequency of speckles due to object movement. The average speckle frequency of fingertip is 0,5-0,7 Hz</description><publisher lang="en-US">Institut Teknologi Sepuluh Nopember</publisher><contributor lang="en-US"/><date>2019-04-21</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>http://iptek.its.ac.id/index.php/jps/article/view/5116</identifier><identifier>10.12962/j23546026.y2019i1.5116</identifier><source lang="en-US">IPTEK Journal of Proceedings Series; No 1 (2019): 4th International Seminar on Science and Technology 2018 (ISST 2018); 84-87</source><source>2354-6026</source><language>eng</language><relation>http://iptek.its.ac.id/index.php/jps/article/view/5116/3500</relation><rights lang="en-US">IPTEK&#xA0; PROCEEDING SERIES&#xA0; COPYRIGHT AND CONSENT FORM&#xA0;To ensure uniformity of treatment among all contributors, other forms may not be substituted for this form, nor may any wording of the form be changed.&#xA0; This form is intended for original material submitted to IPTEK Proceeding Series and must accompany any such material in order to be published by IPTEK Proceeding Series.&#xA0; Please read the form carefully and keep a copy for your files.&#xA0;TITLE OF PAPER/ARTICLE/REPORT, INCLUDING ALL CONTENT IN ANY FORM, FORMAT, OR MEDIA:&#xA0;&#xA0;COMPLETE LIST OF AUTHORS:COPYRIGHT TRANSFER1.&#xA0;&#xA0; The undersigned hereby assigns to IIPTEK Journal of Proceeding Series all rights under copyright that may exist in and to: (a) the above Work, including any revised or expanded derivative works submitted to&#xA0;IPTEK Journal of Proceeding Series by the undersigned based on the Work; and (b) any associated written or multimedia components or other enhancements accompanying the Work.&#xA0;CONSENT AND RELEASE1. 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author Dzulfikar, Ahmad Zaki; Department of Physics, Institut Teknologi Sepuluh Nopember
Rubiyanto, Agus; Department of Physics, Institut Teknologi Sepuluh Nopember
Endarko, Endarko; Department of Physics, Institut Teknologi Sepuluh Nopember
title Characterization Speckle Effect on Measurement of Blood Flow Using Sensor Based on Self-Mixing Interferometry
publisher Institut Teknologi Sepuluh Nopember
publishDate 2019
topic self-mixing interferometry
speckle effect
continuous wavelet transform
url http://iptek.its.ac.id/index.php/jps/article/view/5116
http://iptek.its.ac.id/index.php/jps/article/view/5116/3500
contents The applications of Self-Mixing Interferometry (SMI) have been popular in many fields, including biomedical signals. The self-mixing effect occurs from the coherent back-coupling of the reflected or scattered lights from a target surface. The reflected lights will be detected by a photodiode which has been integrated in one device with the laser. That's why the SMI sensor is quite practical, affordable and simple. However, SMI has the serious problem with the presence of speckle effect in measured signal. The speckle effect produced by the human tissue is called “biospeckles.” The biospeckles observed from the skin tissues contain information about the blood flow in dermal capillarities, heartbeat, and others. These biospeckle patterns cause random modulations that will be detected as random amplitude and spectrum by photodiode. In this paper we present a technique to characterize speckle effect on measurement of blood flow in fingertip using sensor based on Self-Mixing Interferometry (SMI). We used a laser diode 785 nm as a light source and a constant current of 70 mA as a current source which is irradiated on the skin tissue in the fingertip. Then, the backscattered light reenters the laser cavity and it will be detected by photodiode. The SMI signal with speckle effect will be processed by Continuous Wavelet Transform for reconstruction and detection fringe. Signal processing results show that the number of detected speckle fringes depends largely on determining the number of wavelet waves and the scale used. The fringe pattern resulting from the reconstruction of the signal can be used to determine the frequency of speckles due to object movement. The average speckle frequency of fingertip is 0,5-0,7 Hz
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