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All Journal International Journal of Electrical and Computer Engineering BERKALA FISIKA Jurnal Ilmu Dasar Jurnal Sains dan Seni ITS Jurnal Sains Materi Indonesia IPTEK The Journal of Engineering IPTEK Journal of Proceedings Series Perfecting a Video Game with Game Metrics JFA (Jurnal Fisika dan Aplikasinya) Jurnal Respirasi (JR) Sewagati
Agus Rubiyanto
Institut Teknologi Sepuluh Nopember
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Health Professions Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences

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Journal : IPTEK Journal of Proceedings Series

 1 
Characterization Speckle Effect on Measurement of Blood Flow Using Sensor Based on Self-Mixing Interferometry Dzulfikar, Ahmad Zaki; Rubiyanto, Agus; Endarko, Endarko
IPTEK Journal of Proceedings Series No 1 (2019): 4th International Seminar on Science and Technology 2018 (ISST 2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2019i1.5116

Abstract

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
Analysis of Feedback Parameter with Vibration Sensor on Signal Self-Mixing Interferometry Novi D. Ariyanti; Endarko Endarko; Agus Rubiyanto
IPTEK Journal of Proceedings Series No 1 (2019): 4th International Seminar on Science and Technology 2018 (ISST 2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (273.955 KB) | DOI: 10.12962/j23546026.y2019i1.5118

Abstract

In the research aims to analyzed feedback parameter on Self-Mixing Interferometry (SMI) signals. It is because the feedback parameter is one of the determined parameters in SMI vibration sensor research. The experimental apparatus consists of a laser diode as the light source, mirror as a target, collimator as light alignment, and PLX-DAQ as data acquisition executed by Arduino Uno. The principle of data retrieval with the manner of the light source is directed exactly perpendicular to the vibrating target, then reflected and arrested by the detector (photodiode) contained in the laser diode. Light arrested by the photodiode in the form of optical value then automatically converted into voltage value displayed on a personal computer (PC). This feedback on SMI is obtained by variation of the vibration frequency given to a target. The variation of vibration given is 10-100 Hz with 10 Hz increment and each frequency is taken 1000 data. Based on the research that has been done then results obtained at the frequency of 10-30 Hz feedback does not appear because the vibration small so that the vibration sensor is less than optimal. Feedbacks appear at frequencies 40 Hz and 50 Hz but are clearly visible at frequencies 50 Hz. While at 60-80 Hz frequency feedback begins to disappear. The existence of feedback on frequency 50 Hz indicated that vibration sensors on SMI can be applied to industry and medical field
Co-Authors Abdurachman Abdurachman Achul Mukmin Adi Wardana Aditya Prayugo Hariyanto Aditya Prayugo Hariyanto Agus Waluyo Ahmad Ridlo Hanifudin Tahier Andreas Nainggolan Arfan Eko Fahrudin Aris Widodo Asmaul Lutfi Marufah Astri Dewayani Darsono Darsono Dzulfikar, Ahmad Zaki Endarko Endarko Erna Risfaula Kusumawati Gatut Yudoyono Gontjang Prajitno Gontjang Prayitno Harmadi Harmadi Hilmy Yafi Zuhair Khusnul Ain Kurnia Hastu Christianti Malik Anjelh Baqiya Mashuri Mashuri Melania S Muntini Miftakhul Firdhaus Miftakhul Firdhaus Mohammad Haekal Muhadha Shalatin Muhamad Zainuddin Muhammad Noer Fajar Novi D. Ariyanti Nuning Armawati Nura Hajar Hafida Nurrisma Puspa Nurrisma Puspitasari Nurul Amalia Silviyanti Nuzula, Nike Ika Retno Asih Rizqa Daniyati Rohedi, Ali Yunus Rudi Wibowo Siti Aisyah Siti Rabiatul Adawiyah Suhariningsih Suryadi Suryadi Susilo Indrawati Triswantoro Putro Ulfi Qomariyah Hanum Ulya Farahdina Ulya Farahdina Vinda Zakiyatuz Zulfa Vinda Zakiyatuz Zulfa Wafa Faziatus Sholikhah Yono Hadi Pramono