Implementasi Pengamanan Transmisi Sinyal EKG (Elektrokardiogram) secara Daring dengan Metode Anonimasi

ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Pub Date : 2019-01-24 DOI:10.26760/ELKOMIKA.V7I1.85

Jusak Jusak, B. Setiawan, Sony Solehudin, I. Puspasari

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引用次数: 2

Abstract

ABSTRAKData World Health Organization (WHO) pada tahun 2014 menunjukkan bahwa di Indonesia sebanyak 37% dari seluruh penyebab kematian adalah penyakit yang berhubungan dengan jantung. Kehadiran teknologi dan pemanfaatan Internet of Things (IoT) diharapkan dapat membantu mengurangi resiko kematian akibat penyakit jantung tersebut. Pada penelitian ini, pengukuran dan pengamatan sinyal jantung melalui tele-auskultasi sinyal elektrokardiogram (EKG) dilakukan. Untuk mengamankan sinyal EKG dalam proses transmisi melalui jaringan Internet digunakan metode anonimasi sinyal berbasis algoritma Jusak-Seedahmed. Hasil pengujian menunjukkkan bahwa algoritma Jusak-Seedahmed dapat melakukan proses anonimasi dan proses rekonstruksi sinyal dengan baik. Pengujian korelasi silang antara sinyal hasil rekonstruksi dan sinyal EKG asli sebelum anonimasi menghasilkan korelasi sebesar 1 pada lag=0. Sinyal EKG hasil rekonstruksi ditampilkan dalam aplikasi mobile untuk memudahkan analisis oleh dokter.Kata kunci: elektrokardiogram, keamanan, anonimasi, IoT, FFT ABSTRACTBased on the latest data released by the World Health Organization in 2014, deaths caused by cardiovascular disease in 2012 have reached 37% of the total number of non-communicable diseases deaths in Indonesia. Therefore, it is expected that the applications of the Internet of Things (IoT) might be used to reduce the risk of death due to the heart related problems. In this research, a tele-auscultation technique for measuring and monitoring electrocardiogram (ECG) signal was built. To secure transmission of the ECG signal over the Internet, we implemented a recently proposed Jusak-Seedahmed algorithm. Our examinations showed that the algorithm performed the anonymization and reconstruction processes well. Crosscorrelation analysis showed that correlation between the reconstructed and the original ECG signal at lag=0 was 1. Furthermore, a mobile-based application had been built to display the reconstructed ECG signal for further analysis.Keywords: electrocardiogram, security, anonimization, IoT, FFT

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在线用匿名方法进行心电图安全传输

2014年世界卫生组织(WHO)的抽象数据显示，印尼37%的死因是与心脏有关的疾病。希望互联网的技术和利用可以帮助降低死于心脏病的风险。在这项研究中，通过电心电图信号进行心脏信号测量和观测。为了通过网络传输的心电图信号，使用了一种基于生成算法的信号匿名方法。测试结果表明，浏览算法可以很好地执行信号分析过程和重建过程。在退位前，测试重建信号与真实的心电图信号之间的交叉相关性，将在滞后为1的相关性=0。重建的心电图信号显示在移动应用程序中，以方便医生的分析。关键字:2014年世界卫生组织(World Health Organization)发布的最新数据显示，2012年死于心血管疾病的死亡人数占了37%。因此，它预测互联网的应用可能会被用来减少死亡风险，让心灵有问题。在这项研究中，一种电传技术，用于测量和监测电心电图信号。为了安全互联网上关于心电图信号的传输，我们最近推出了一种加强阅读算法。我们的研究表明，算法实现了匿名和重建过程。相反分析表明，reconct和原始ECG信号之间的相关性=0 is 1。此外，一个基于手机应用的应用程序是为了进一步分析ECG信号而构建的。电子邮件，安全，匿名，很多，FFT

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ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika

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