Penerapan Antarmuka Transmisi Data EKG Berbasis Komunikasi BLE (Bluetooth Low Energy) Pada Mobile Middleware

Trilia Septiana, Yugi (2020) Penerapan Antarmuka Transmisi Data EKG Berbasis Komunikasi BLE (Bluetooth Low Energy) Pada Mobile Middleware. Sarjana thesis, Universitas Brawijaya.

Abstract

Pada tahun 2016, penyebab kematian terbesar pertama di dunia yaitu penyakit jantung. Hal tersebut dapat terjadi disebabkan oleh sering terlambatnya proses penanganan kesehatan. Sehingga, pada saat ini perlu dikembangkan arsitektur Internet of Things (IoT) dalam bidang kesehatan yang memungkinkan dapat terhubung antara alat kesehatan dengan tubuh manusia. Internet of Health Things (IoHT) tersebut dapat dijadikan sebagai solusi untuk masalah pemantauan elektrokardiogram (EKG) yang sedang banyak terjadi di lingkungan masyarakat saat ini. Sistem tersebut terdiri dari sensor EKG AD8232 yang terhubung dengan node sensor ESP32 yang memiliki module Bluetooth Low Energy (BLE) untuk mengirimkan data yang diperoleh dari sensor EKG ke perangkat mobile middleware. Dalam penelitian ini dirancang sebuah mekanisme transmisi data EKG berbasis teknologi BLE. BLE merupakan salah satu dari media komunikasi data yang memiliki kelebihan dalam penggunaan daya yang rendah, radiasi kecil, sehingga aman penggunaannya apabila alat kesehatan saling terhubung dengan bagian tubuh manusia. BLE tergolong protokol Low-Power Wide-Area-Network (LP-WAN) sehingga dinilai tepat untuk dapat diterapkan dalam lingkungan IoT. Penelitian ini menghasilkan sebuah pengukuran kinerja BLE node sensor ESP32 yang mampu mengolah dan mengirimkan data EKG ke mobile middleware. Namun, pengukuran kinerja BLE untuk transmisi data EKG yang diterapkan dalam penelitian ini menghasilkan keterlambatan ujung ke ujung 4,02 detik, throughput rata-rata 117,76 Mbps dan pengukuran paket data yang hilang sebesar 3% dari data yang berhasil ditransmisikan oleh sistem. Jadi, dengan hasil yang didapatkan tersebut tidak memenuhi salah satu persyaratan dalam transmisi data EKG untuk pemantauan, yaitu delay maksimum 4 detik.

English Abstract

In 2016, the first cause of death in the world was heart disease. It happened because heart disease was often detected late. This time, it necessary to develop the architecture of the Internet of Things (IoT) to allows human and things to be connected. The Internet of Things can be used as a solution of the problem if it is applied electrocardiogram monitoring (ECG) system. The system consists of AD8232 ECG sensor that connected to an ESP32 sensor that has a BLE module to send the data that was obtained from sensor ECG to mobile middleware. In this research the transmission data og ECG using the BLE technology is designed. BLE is one of the data transmission media that has advantages in the use of low power, low radiation that make the BLE is suitable to be used in human body. BLE is one of Low-Power Wide-Area-Network (LP-WAN) protocol that makes BLE suitable to be used in IoT environment. This research resulted in a measurement of the performance of the ESP32 BLE sensor node that is capable of processing and sending ECG data to mobile middleware. But, the applied ECG data transmission mechanism in this research resulted 4,02 seconds end-to-end delay, an average throughput of 117,76 Mbps and measurement of lost data packets of 3% of the data that was successfully transmitted by the system. So, the results didn’t fulfill one of the requirements in ECG data transmission for monitoring uses, which is 4 second maximum delay.

Item Type:	Thesis (Sarjana)
Identification Number:	0520150484
Uncontrolled Keywords:	Internet of Health Things (IoHT), Elektrokardiogram (EKG), Bluetooth Low Energy (BLE), Mobile Middleware
Subjects:	600 Technology (Applied sciences) > 621 Applied physics > 621.3 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting
Depositing User:	Unnamed user with username nova
Date Deposited:	21 Sep 2022 06:41
Last Modified:	21 Sep 2022 06:41
URI:	http://repository.ub.ac.id/id/eprint/194530

Text (DALAM MASA EMBARGO) Yugi Trilia Septiana.pdf Restricted to Registered users only until 31 December 2023. Download (3MB)

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