IoT-Based Early Detection of Cardiovascular Disease with Ankle Brachial Index Measurement for Right and Left Body Simultaneously

ERVIN MASITA DEWI, AWAN WAHYU SETIAWAN, SUGONDO HADIYOSO

Sari


ABSTRAK

Deteksi dini penyakit kardiovaskular sangat diperlukan untuk mengurangi risiko kematian. Deteksi dini penyakit kardiovaskular dapat dilakukan dengan bermacammacam metode, salah satunya adalah menggunakan metode Ankle Brachial Indeks (ABI). Metode ini membandingkan tekanan darah antara sistole pada bagian tangan dan kaki secara bersamaan. Pada penelitian ini dibuatlah alat pengukur ABI yang dapat mengukur secara serempak antara bagian tubuh kanan dan kiri, yaitu merupakan pengembangan dari penelitian sebelumnya yang hanya dapat melakukan pengukuran pada satu sisi tubuh saja. Dengan pengukuran secara serempak, diharapkan hasil yang diperoleh lebih akurat dan lebih efektif. Hasil validasi dari alat ini setelah dibandingkan dengan sphygmomanometer memiliki akurasi sebesar 96.6%. Selain itu data riwayat pemeriksaan dapat disimpan dan diakses oleh pasien dan dokter melalui teknologi IoT.

Kata kunci: deteksi dini, kardiovaskular, Ankle Brachial Indeks, IoT

 

ABSTRACT

Early detection of Cardiovascular Disease (CVD) is needed to reduce the risk of death. Early detection of cardiovascular disease can be done using various methods, one of which is the Ankle Brachial Index (ABI) method. This method compares blood pressure between systoles on the hands and feet simultaneously. In this study, the ABI measuring instrument was made that could simultaneously measure the right and left parts of the body, a development from previous research that could only take measurements on one side of the body. With simultaneous measurements, the results will be more accurate and effective. The validation results of this tool, when compared with the sphygmomanometer, have an accuracy of 96.6%. Besides, patients and doctors can store and access examination history data through IoT platform.

Keywords: early detection, cardiovascular, Ankle Brachial Indeks, IoT


Kata Kunci


early detection; cardiovascular; Ankle Brachial Indeks; IoT

Teks Lengkap:

PDF (English)

Referensi


Aboyans, V., Criqui, M. H., Abraham, P., Allison, M. A., Creager, M. A., Diehm, C., Fowkes, F. G. R., Hiatt, W. R., Jönsson, B., Lacroix, P., Marin, B., McDermott, M. M., Norgren, L., Pande, R. L., Preux, P.-M., Stoffers, H. E. (Jelle), & Treat-Jacobson, D. (2012). Measurement and Interpretation of the Ankle-Brachial Index. Circulation, 126(24), 2890–2909. https://doi.org/10.1161/CIR.0b013e318276fbcb

Alageel, S., & Gulliford, M. C. (2019). Health checks and cardiovascular risk factor values over six years’ follow-up: Matched cohort study using electronic health records in England. PLoS Medicine, 16(7), 1–16.

https://doi.org/10.1371/journal.pmed.1002863

Arsianti, R. W., Sardina, S., Fairul, F., Irfan, I., & Mulyadi, M. (2020). Rancang Bangun Alat Ukur Ankle Brachial Indeks Untuk Deteksi Peripheral Artery Disease. Jurnal Rekayasa Elektrika, 16(3), 135–142. https://doi.org/10.17529/jre.v16i3.17877

Danieluk, A., & Chlabicz, S. (2021). Automated Measurements of Ankle-Brachial Index: A Narrative Review. Journal of Clinical Medicine, 10(21), 5161. https://doi.org/10.3390/jcm10215161

Dewi, E. M., Ramadhan, G., Parlindungan, R., Iryani, L., & Yuwono, T. (2022). Measurement of Ankle Brachial Index with Oscillometric Method for Early Detection of Peripheral Artery Disease. Jurnal Rekayasa Elektrika, 18(2), 80–85. https://doi.org/10.17529/jre.v18i2.25758

Grün, D., Rudolph, F., Gumpfer, N., Hannig, J., Elsner, L. K., von Jeinsen, B., Hamm, C. W., Rieth, A., Guckert, M., & Keller, T. (2021). Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis. Frontiers in Digital Health, 2(February), 1–7. https://doi.org/10.3389/fdgth.2020.584555

Hadiyoso, S., & Rizal, A. (2017). Electrocardiogram signal classification using higherorder complexity of hjorth descriptor. Advanced Science Letters, 23(5), 3972–3974. https://doi.org/10.1166/asl.2017.8251

Khoury, S. R., & Ratchford, E. V. (2021). Vascular Disease Patient Information Page: Subclavian artery stenosis. Vascular Medicine (United Kingdom), 26(4), 464–468. https://doi.org/10.1177/1358863X211021160

Kropf, M., Hayn, D., & Schreier, G. (2017). ECG classification based on time and frequency domain features using random forests. Computing in Cardiology, 44, 1–4. https://doi.org/10.22489/CinC.2017.168-168

Maharani, A., Sujarwoto, Praveen, D., Oceandy, D., Tampubolon, G., & Patel, A. (2019). Cardiovascular disease risk factor prevalence and estimated 10-year cardiovascular risk scores in Indonesia: The SMARThealth Extend study. PLoS ONE, 14(4), 1–13. https://doi.org/10.1371/journal.pone.0215219

Mahmoud, A., Alsalemi, A., Bensaali, F., Hssain, A. A., & Hassan, I. (2021). A review of human circulatory system simulation: Bridging the gap between engineering and medicine. Membranes, 11(10), 1–24.

https://doi.org/10.3390/membranes11100744

Miname, M., Bensenor, I. M., & Lotufo, P. A. (2016). Different methods of calculating ankle-brachial index in mid-elderly men and women: The Brazilian longitudinal study of adult health (ELSA-Brasil). Brazilian Journal of Medical and Biological Research, 49(12), 1–7. https://doi.org/10.1590/1414-431X20165734

Muntner, P., Shimbo, D., Carey, R. M., Charleston, J. B., Gaillard, T., Misra, S., Myers, M. G., Ogedegbe, G., Schwartz, J. E., Townsend, R. R., Urbina, E. M., Viera, A. J., White, W. B., & Wright, J. T. (2019). Measurement of blood pressure in humans: A scientific statement from the american heart association. Hypertension, 73(5), E35–E66.

https://doi.org/10.1161/HYP.0000000000000087

Myers, M. C., Brandt, D. S., Prunty, A., Gilbertson-White, S., Sanborn, A., Santillan, M. K., & Santillan, D. A. (2022). Effect of positioning on blood pressure measurement in pregnancy. Pregnancy Hypertension, 27, 110–114. https://doi.org/10.1016/j.preghy.2021.12.013

Nead, K. T., Cooke, J. P., Olin, J. W., & Leeper, N. J. (2013). Alternative ankle-brachial index method identifies additional at- risk individuals. J Am Coll Cardiol., 62(6), 1–17. https://doi.org/10.1016/j.jacc.2013.04.061.Alternative

Netea, R. T., Elving, L. D., Lutterman, J. A., & Thien, T. H. (2002). Body position and blood pressure measurement in patients with diabetes mellitus. Journal of Internal Medicine, 251(5), 393–399. https://doi.org/10.1046/j.1365-2796.2002.00958.x

Powell-Wiley, T. M., Poirier, P., Burke, L. E., Després, J. P., Gordon-Larsen, P., Lavie, C. J., Lear, S. A., Ndumele, C. E., Neeland, I. J., Sanders, P., & St-Onge, M. P. (2021). Obesity and Cardiovascular Disease A Scientific Statement From the American Heart Association. Circulation, 143(21), E984–E1010. https://doi.org/10.1161/CIR.0000000000000973

Rachmat, H. H. (2017). Comparison of radialis sphygmomanometer in evaluating the blood pressure of healthy volunteers. Proceedings of 2016 1st International Conference on Biomedical Engineering: Empowering Biomedical Technology for Better Future, IBIOMED 2016, (1–4).

https://doi.org/10.1109/IBIOMED.2016.7869817

Rac-Albu, M., Iliuta, L., Guberna, S. M., & Sinescu, C. (2014). The role of ankle-brachial index for predicting peripheral arterial disease. Maedica, 9(3), 295–302. http://www.ncbi.nlm.nih.gov/pubmed/25705296

Richart, T., Kuznetsova, T., Wizner, B., Struijker-Boudier, H. A., & Staessen, J. A. (2009). Validation of automated oscillometric versus manual measurement of the ankle-brachial index. Hypertension Research, 32(10), 884–888. https://doi.org/10.1038/hr.2009.125

Sadawarte, P., Bhure, A., Chauhan, S., & Gawande, R. (2017). Measurement of Diastolic Blood Pressure Without Stethoscope ... Is It Possible ?. Scholars Journal of Applied Medical Sciences, 5(2E), 662–667. https://doi.org/10.36347/sjams.2017.v05i02.071

Said, Asbath, Novianti, Dwi, A., Fety, & Yulli. (2021). Early Detection of Peripheral Artery Disease through Ankle Brachial Index Examination in Prolanist Group at Puskesmas Poasia. Health Information: Jurnal Penelitian , 13(1), 11–19.

Tan, J., Zhang, X., Wang, W., Yin, P., Guo, X., & Zhou, M. (2018). Smoking, blood pressure, and cardiovascular disease mortality in a large cohort of chinese men with 15 years follow-up. International Journal of Environmental Research and Public Health, 15(5), 1–9. https://doi.org/10.3390/ijerph15051026

Vaduganathan, M., Mensah, G. A., Turco, J. V., Fuster, V., & Roth, G. A. (2022). The Global Burden of Cardiovascular Diseases and Risk: A Compass for Future Health. Journal of the American College of Cardiology, 80(25), 2361–2371. https://doi.org/10.1016/j.jacc.2022.11.005

Verzicco, R. (2022). Electro-fluid-mechanics of the heart. Journal of Fluid Mechanics, 941, 1–81. https://doi.org/10.1017/jfm.2022.272

Wuche, C. (2022). The cardiovascular system and associated disorders. British Journal of Nursing, 31(17), 888–892. https://doi.org/10.1159/000412682




DOI: https://doi.org/10.26760/elkomika.v11i4.1032

Refbacks

  • Saat ini tidak ada refbacks.


_______________________________________________________________________________________________________________________

ISSN (cetak) : 2338-8323 | ISSN (elektronik) : 2459-9638

diterbitkan oleh :

Teknik Elektro Institut Teknologi Nasional Bandung

Alamat : Gedung 20 Jl. PHH. Mustofa 23 Bandung 40124

Kontak : Tel. 7272215 (ext. 206) Fax. 7202892

Surat Elektronik : jte.itenas@itenas.ac.id________________________________________________________________________________________________________________________

Statistik Pengunjung

Free counters!

Web Analytics Made Easy - StatCounter

Lihat Statistik Jurnal

Jurnal ini terlisensi oleh Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License