Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

R P Jenie, Johan Iskandar, A Kurniawan, E Rustami, H Syafutra, N M Nurdin, T Handoyo, J Prabowo, R Febryarto, M S K Rahayu, E Damayanthi, Rimbawan, D Sukandar, Y Suryana, Irzaman, H Alatas

Judul : Proposed Application of Fast Fourier Transform in Near Infra Red Based Non Invasive Blood Glucose Monitoring System

Abstrak :
Worldwide emergence of glycaemic status related health disorders, such as diabetes and metabolic syndrome, is growing in alarming rate. The objective was to propose new methods for non invasive blood glucose level measurement system, based on implementation of Fast Fourier Transform methods. This was an initial-lab-scale-research. Data on non invasive blood glucose measurement are referred from Scopus, Medline, and Google Scholar, from 2011 until 2016, and was used as design references, combined with in house verification. System was developed in modular fashion, based on aforementioned compiled references. Several preliminary tests to understand relationship between LED and photo-diode responses have been done. Several references were used as non invasive blood glucose measurement tools design basis. Solution is developed in modular fashion. we have proven different sensor responses to water and glucose. Human test for non invasive blood glucose level measurement system is needed.

Tahun : 2018 Media Publikasi : Seminar Internasional

Kategori : Prosiding No/Vol/Tahun : 2017 / 58 / 2017

ISSN/ISBN : 1755-1315

PTN/S : Universitas Pakuan Program Studi : TEKNIK KOMPUTER (D3)

Bibliography :
[1] Kanchi S, Sharma D, Bisetty K and Nuthalapati V N 2015 J Env. Anal Chem 2 e111
[2] Zhao X 2014 J. Anesth. Clin. Res. 5
[3] Dutra E S, de Carvalho K M, Miyazaki É, Hamann E M and Ito M K 2012 Diabetol Metab Syndr 4 20
[4] Vidigal F, Ribeiro A, Babio N, Salas-Salvadó J and Bressan J 2015 Diabetol. Metab. Syndr. 7 6
[5] Kesehatan D and RI K K 2013 Riset Kesehatan Dasar Jkt. Badan Penelit. Dan Pengemb. Kesehat. Dep. Kesehat. Repub. Indones.
[6] Finfer S, Wernerman J, Preiser J-C, Cass T, Desaive T, Hovorka R, Joseph J I, Kosiborod M, Krinsley J, Mackenzie I and others 2013 Crit Care 17 229
[7] Braga J R G, Ramos A C B and Queiroz A A A 2012 Using artificial neural nets to Hemo metabolites identification e-Health Networking, Applications and Services (Healthcom), 2012 IEEE 14th International Conference on (IEEE) pp 124–131
[8] Salacinski A J, Alford M, Drevets K, Hart S and Hunt B E 2014 J. Diabetes Sci. Technol. 8 95–99
[9] Budak Y U, Huysal K and Polat M 2012 Anesthesiol. 12 17
[10] Yeaw J, Lee W C, Aagren M and Christensen T 2012 J Manag Care Pharm 18 21–32
[11] Turner A P F 2013 Chem. Soc. Rev. 42 3184
[12] Govada A, Renumadhavi C and Ramesh K 2014 Int. J. Adv. Res. Comput. Commun. Eng. 3 5122–5125
[13] Abdulhalim I S S 2015 J. Biosens. Bioelectron. 6
[14] Beel J, Gipp B, Langer S and Genzmehr M 2011 Docear: An academic literature suite for searching, organizing and creating academic literature Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries (ACM) pp 465–466
[15] Harding K 2014 Zotero J. Can. Health Libr. Assoc. Assoc. Bibl. Santé Can. 34 41–43
[16] Smith J A, Weber J H and Fox M J 2013 Libre Office 4.0 The document foundation Calc Guide working with spreadsheets Libre Off. 40 Doc. Found. Calc Guide Work. Spreadsheets

[17] Dixit Y, Cama R, Sullivan C, Alvarez Jubete L and Ktenioudaki A 2014 J NIR News 25 15
[18] Farshad K, Islam M, Leech J, Lin C and Chrostowski L 2006 Preventing Blood Glucose Level from Flying High
[19] Szabo I, Gyuk P and Vassanyi I 2014 Lifestyle Log Based Blood Glucose Level Prediction for Outpatient Care Accepted as full paper for Int. Conf. eâ„¡EMED, Barcelona, Spain
[20] Cardosi M and Liu Z 2012 Amperometric Glucose Sensors for Whole Blood Measurement Based on Dehydrogenase Enzymes Dehydrogenases ed R A Canuto (InTech)
[21] Taneva L, Hristov V and Ibrahim F 2013 Int J Open Probl. Compt Math 6
[22] Meshram N D and Dahikar P B 2015 International Symposium on Ultrasonics 22
[23] Pattnaik P, Pradhan S K, Kamilla S K and Das D P 2012 Studies of Lead Free Piezo-Electric Materials Based Ultrasonic MEMS Model for Bio Sensor Proceeding of COMSOL Conference
[24] Athanasiou L V, Tsokana C N, Saridomichelakis M N, A$þeta$ανασ$acuteÄ±ota$oυ Λ, Tσoκαν$acutealpha$ K N and Σαρ$Ä±ota$δoμ$Ä±ota$χελ$acutealpha$κης M N 2014 J. Hell. Vet. Med. Soc. 65 273–288
[25] Chu M K, Iguchi S, Takahashi D, Arakawa T, Kudo H and Mitsubayashi K 2009 Wearable biosensor for monitoring tear glucose on rabbit eye as novel device of body sensor network Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2009 5th International Conference on (IEEE) pp 191–194
[26] Allam F, Nossair Z, Gomma H, Ibrahim I and Abdelsalam M 2012 Int. J. Intell. Syst. Appl. 4 58–71
[27] Dicker L, Sun T, Zhang C-H, Keenan D B and Shepp L 2013 Continuous blood glucose monitoring: A Bayes-hidden Markov approach Stat. Sin.
[28] Chowdhury M K, Srivastava A, Sharma N and Sharma S 2014 IOSR J. Electr. Electron. Eng. 9 34–41
[29] Srivastava A, Chowdhury M K, Sharma S and Sharma N 2014 Adv. Bioresearch
[30] Srivastava A, Chowdhury M K, Sharma S and Sharma N 2013 Int. J. Adv. Eng. Technol. IJAET 6 1097–1108
[31] Cameron F, Buckingham B A, Wilson D M and Bequette B W 2014 Sensitivity Analysis of a Predictive Pump Suspension System to Treat People with Type 1 Diabetes World Congress vol 19pp 243–248
[32] Christiansen M, Bailey T, Watkins E, Liljenquist D, Price D, Nakamura K, Boock R and Peyser T 2013 Diabetes Technol. Ther. 15 881–888
[33] Thorlabs, Inc. 2016 Unmounted LEDs
[34] Thorlabs, Inc. 2016 Unmounted Photodiodes
[35] Smith J L 2011 Last Accessed May 2
[36] Goodarzi M, Sharma S, Ramon H and Saeys W 2015 Trends Anal. Chem. 67 147–58
[37] Ciobanu O, Xu W and Ciobanu G 2013 Fiability Durab. 2013
[38] Kulkarni A and Bhargava M R 2015 3D Printing
[39] Anwaar W and Shah M A 2015 Energy 4
[40] Semiconductors P 2000 The I2C-bus specification Philips Semicond. 9397 954
[41] fftw.org 2015 FFTW Home Page
[42] FANN 2015 Fast Artificial Neural Network Library (FANN)
[43] SQLite 2016 SQLite Home Page
[44] Akinkuolie B B, Lin C-F and Yuan S-M 2011 A cross-platform mobile learning system using QT SDK Framework Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on (IEEE) pp 163–167
[45] Qt 2015 Qt - Download Open Source Step 3
[46] Mai F, Palatov K, Bilotti E and Peijs T 2012 Self-reinforced polylactic acid (PLA) biocomposites with degradation sensing Proceedings of ECCM-15 Conference. Venice
[47] Harikrishna M, Narasimhulu P, Ramu J, Shaikshavli P, Prasad V H, Sekhar K R, Kumar M A,Venkateswarlu M, Sagar P and Venkataramana B 2016 Development of Poly-Lactic-Acid (PLA) Composite Films Filled with Aerosil/Wollastonite on Characterization
[48] Gupta A K 2006 Design techniques for low noise and high speed A/D converters (Texas A&M University)
[49] Baruah A D and Patel R M 2015 Development 2
[50] Wong E and Williams R J 2012 Regul. Focus
[51] Lamberg H 2014 Measuring and Monitoring Blood Glucose Levels Utilizing Non-invasive Blood Glucose Monitoring Device - Full Text View - ClinicalTrials.gov
[52] Nimri R 2012 Assessing Continuous Non- Invasive Blood Glucose Sensor- Physical Logic AG - Full Text View - ClinicalTrials.gov
[53] Krushinitskaya O 2012 Osmotic sensor for blood glucose monitoring applications (Vestfold University College)
[54] El-Hamid A S A, Fetohi A, Amin R S and Hameed R A 2015 Int. J. Softw. Hardw. Res. Eng.
[55] Arduino 2015 Genuino Starter Kit [English] Code: GKX00007

URL : http://iopscience.iop.org/article/10.1088/1755-1315/58/1/012011/meta

Document

back

@official_unpak	@unpak
@unpak	UNPAK TV

Welcome Repository Universitas Pakuan

Student's Achievments

Unggul, Mandiri & Berkarakter

Detail Karya Ilmiah Dosen

R P Jenie, Johan Iskandar, A Kurniawan, E Rustami, H Syafutra, N M Nurdin, T Handoyo, J Prabowo, R Febryarto, M S K Rahayu, E Damayanthi, Rimbawan, D Sukandar, Y Suryana, Irzaman, H Alatas

Judul	:	Proposed Application of Fast Fourier Transform in Near Infra Red Based Non Invasive Blood Glucose Monitoring System
Abstrak	:	Worldwide emergence of glycaemic status related health disorders, such as diabetes and metabolic syndrome, is growing in alarming rate. The objective was to propose new methods for non invasive blood glucose level measurement system, based on implementation of Fast Fourier Transform methods. This was an initial-lab-scale-research. Data on non invasive blood glucose measurement are referred from Scopus, Medline, and Google Scholar, from 2011 until 2016, and was used as design references, combined with in house verification. System was developed in modular fashion, based on aforementioned compiled references. Several preliminary tests to understand relationship between LED and photo-diode responses have been done. Several references were used as non invasive blood glucose measurement tools design basis. Solution is developed in modular fashion. we have proven different sensor responses to water and glucose. Human test for non invasive blood glucose level measurement system is needed.
Tahun	:	2018	Media Publikasi	:	Seminar Internasional
Kategori	:	Prosiding	No/Vol/Tahun	:	2017 / 58 / 2017
ISSN/ISBN	:	1755-1315
PTN/S	:	Universitas Pakuan	Program Studi	:	TEKNIK KOMPUTER (D3)
Bibliography	:	[1] Kanchi S, Sharma D, Bisetty K and Nuthalapati V N 2015 J Env. Anal Chem 2 e111 [2] Zhao X 2014 J. Anesth. Clin. Res. 5 [3] Dutra E S, de Carvalho K M, Miyazaki É, Hamann E M and Ito M K 2012 Diabetol Metab Syndr 4 20 [4] Vidigal F, Ribeiro A, Babio N, Salas-Salvadó J and Bressan J 2015 Diabetol. Metab. Syndr. 7 6 [5] Kesehatan D and RI K K 2013 Riset Kesehatan Dasar Jkt. Badan Penelit. Dan Pengemb. Kesehat. Dep. Kesehat. Repub. Indones. [6] Finfer S, Wernerman J, Preiser J-C, Cass T, Desaive T, Hovorka R, Joseph J I, Kosiborod M, Krinsley J, Mackenzie I and others 2013 Crit Care 17 229 [7] Braga J R G, Ramos A C B and Queiroz A A A 2012 Using artificial neural nets to Hemo metabolites identification e-Health Networking, Applications and Services (Healthcom), 2012 IEEE 14th International Conference on (IEEE) pp 124–131 [8] Salacinski A J, Alford M, Drevets K, Hart S and Hunt B E 2014 J. Diabetes Sci. Technol. 8 95–99 [9] Budak Y U, Huysal K and Polat M 2012 Anesthesiol. 12 17 [10] Yeaw J, Lee W C, Aagren M and Christensen T 2012 J Manag Care Pharm 18 21–32 [11] Turner A P F 2013 Chem. Soc. Rev. 42 3184 [12] Govada A, Renumadhavi C and Ramesh K 2014 Int. J. Adv. Res. Comput. Commun. Eng. 3 5122–5125 [13] Abdulhalim I S S 2015 J. Biosens. Bioelectron. 6 [14] Beel J, Gipp B, Langer S and Genzmehr M 2011 Docear: An academic literature suite for searching, organizing and creating academic literature Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries (ACM) pp 465–466 [15] Harding K 2014 Zotero J. Can. Health Libr. Assoc. Assoc. Bibl. Santé Can. 34 41–43 [16] Smith J A, Weber J H and Fox M J 2013 Libre Office 4.0 The document foundation Calc Guide working with spreadsheets Libre Off. 40 Doc. Found. Calc Guide Work. Spreadsheets [17] Dixit Y, Cama R, Sullivan C, Alvarez Jubete L and Ktenioudaki A 2014 J NIR News 25 15 [18] Farshad K, Islam M, Leech J, Lin C and Chrostowski L 2006 Preventing Blood Glucose Level from Flying High [19] Szabo I, Gyuk P and Vassanyi I 2014 Lifestyle Log Based Blood Glucose Level Prediction for Outpatient Care Accepted as full paper for Int. Conf. eâ„¡EMED, Barcelona, Spain [20] Cardosi M and Liu Z 2012 Amperometric Glucose Sensors for Whole Blood Measurement Based on Dehydrogenase Enzymes Dehydrogenases ed R A Canuto (InTech) [21] Taneva L, Hristov V and Ibrahim F 2013 Int J Open Probl. Compt Math 6 [22] Meshram N D and Dahikar P B 2015 International Symposium on Ultrasonics 22 [23] Pattnaik P, Pradhan S K, Kamilla S K and Das D P 2012 Studies of Lead Free Piezo-Electric Materials Based Ultrasonic MEMS Model for Bio Sensor Proceeding of COMSOL Conference [24] Athanasiou L V, Tsokana C N, Saridomichelakis M N, A$þeta$ανασ$acuteÄ±ota$oυ Λ, Tσoκαν$acutealpha$ K N and Σαρ$Ä±ota$δoμ$Ä±ota$χελ$acutealpha$κης M N 2014 J. Hell. Vet. Med. Soc. 65 273–288 [25] Chu M K, Iguchi S, Takahashi D, Arakawa T, Kudo H and Mitsubayashi K 2009 Wearable biosensor for monitoring tear glucose on rabbit eye as novel device of body sensor network Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2009 5th International Conference on (IEEE) pp 191–194 [26] Allam F, Nossair Z, Gomma H, Ibrahim I and Abdelsalam M 2012 Int. J. Intell. Syst. Appl. 4 58–71 [27] Dicker L, Sun T, Zhang C-H, Keenan D B and Shepp L 2013 Continuous blood glucose monitoring: A Bayes-hidden Markov approach Stat. Sin. [28] Chowdhury M K, Srivastava A, Sharma N and Sharma S 2014 IOSR J. Electr. Electron. Eng. 9 34–41 [29] Srivastava A, Chowdhury M K, Sharma S and Sharma N 2014 Adv. Bioresearch [30] Srivastava A, Chowdhury M K, Sharma S and Sharma N 2013 Int. J. Adv. Eng. Technol. IJAET 6 1097–1108 [31] Cameron F, Buckingham B A, Wilson D M and Bequette B W 2014 Sensitivity Analysis of a Predictive Pump Suspension System to Treat People with Type 1 Diabetes World Congress vol 19pp 243–248 [32] Christiansen M, Bailey T, Watkins E, Liljenquist D, Price D, Nakamura K, Boock R and Peyser T 2013 Diabetes Technol. Ther. 15 881–888 [33] Thorlabs, Inc. 2016 Unmounted LEDs [34] Thorlabs, Inc. 2016 Unmounted Photodiodes [35] Smith J L 2011 Last Accessed May 2 [36] Goodarzi M, Sharma S, Ramon H and Saeys W 2015 Trends Anal. Chem. 67 147–58 [37] Ciobanu O, Xu W and Ciobanu G 2013 Fiability Durab. 2013 [38] Kulkarni A and Bhargava M R 2015 3D Printing [39] Anwaar W and Shah M A 2015 Energy 4 [40] Semiconductors P 2000 The I2C-bus specification Philips Semicond. 9397 954 [41] fftw.org 2015 FFTW Home Page [42] FANN 2015 Fast Artificial Neural Network Library (FANN) [43] SQLite 2016 SQLite Home Page [44] Akinkuolie B B, Lin C-F and Yuan S-M 2011 A cross-platform mobile learning system using QT SDK Framework Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on (IEEE) pp 163–167 [45] Qt 2015 Qt - Download Open Source Step 3 [46] Mai F, Palatov K, Bilotti E and Peijs T 2012 Self-reinforced polylactic acid (PLA) biocomposites with degradation sensing Proceedings of ECCM-15 Conference. Venice [47] Harikrishna M, Narasimhulu P, Ramu J, Shaikshavli P, Prasad V H, Sekhar K R, Kumar M A,Venkateswarlu M, Sagar P and Venkataramana B 2016 Development of Poly-Lactic-Acid (PLA) Composite Films Filled with Aerosil/Wollastonite on Characterization [48] Gupta A K 2006 Design techniques for low noise and high speed A/D converters (Texas A&M University) [49] Baruah A D and Patel R M 2015 Development 2 [50] Wong E and Williams R J 2012 Regul. Focus [51] Lamberg H 2014 Measuring and Monitoring Blood Glucose Levels Utilizing Non-invasive Blood Glucose Monitoring Device - Full Text View - ClinicalTrials.gov [52] Nimri R 2012 Assessing Continuous Non- Invasive Blood Glucose Sensor- Physical Logic AG - Full Text View - ClinicalTrials.gov [53] Krushinitskaya O 2012 Osmotic sensor for blood glucose monitoring applications (Vestfold University College) [54] El-Hamid A S A, Fetohi A, Amin R S and Hameed R A 2015 Int. J. Softw. Hardw. Res. Eng. [55] Arduino 2015 Genuino Starter Kit [English] Code: GKX00007
URL	:	http://iopscience.iop.org/article/10.1088/1755-1315/58/1/012011/meta