Remote Intelligent Medical Monitoring System Based on Internet of Things

Author(s):  
Hongju Liu
Author(s):  
Ifeoma V. Ngonadi

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Remote patient monitoring enables the monitoring of patients’ vital signs outside the conventional clinical settings which may increase access to care and decrease healthcare delivery costs. This paper focuses on implementing internet of things in a remote patient medical monitoring system. This was achieved by writing two computer applications in java in which one simulates a mobile phone called the Intelligent Personal Digital Assistant (IPDA) which uses a data structure that includes age, smoking habits and alcohol intake to simulate readings for blood pressure, pulse rate and mean arterial pressure continuously every twenty five which it sends to the server. The second java application protects the patients’ medical records as they travel through the networks by employing a symmetric key encryption algorithm which encrypts the patients’ medical records as they are generated and can only be decrypted in the server only by authorized personnel. The result of this research work is the implementation of internet of things in a remote patient medical monitoring system where patients’ vital signs are generated and transferred to the server continuously without human intervention.


2016 ◽  
Vol 12 (1) ◽  
pp. 50 ◽  
Author(s):  
Xiuming Zou

Because the remote medical monitoring system is high distributed, limited to node energy and having a large quantity of process and transmission information, this paper proposes a kind of remote medical monitoring system based on the technology of internet of things and combines the mobile Agent. Ten patients (5 male and 5 female, the age of 18~69 and the average age of 41.8) were given clinical test with this system. It shows the architectural model of the system which consists of wireless sensor nodes, relay nodes, remote monitoring center, etc. To collect the patients’ physiological data, the remote monitoring center in hospital will issue the mobile Agent and run it in the wireless sensor node. After processing the mobile Agent, the center will send it to the relay node, and then send it back to the hospital remote monitoring center through the Internet of things to do comprehensive diagnosis and make decisions. The paper has completed the software and hardware designing and debugging of the each module of system. The result shows that the system is able to monitor the health status of patients who live in different communities in the long term and in time. Further more, the system can achieve optimal utilization of medical resources.


2019 ◽  
Vol 6 (1) ◽  
pp. 39-51
Author(s):  
Endang Sri Rahayu ◽  
Nurul Amalia

Diabetes merupakan penyakit “silent killer” yang ditandai dengan peningkatan kadar glukosa darahdan kegagalan sekresi insulin. World Health Organization (WHO) pada tahun 2016 menyatakanbahwa diabetes menduduki urutan ke-6 sebagai penyakit mematikan di Indonesia. Sehingga upayapencegahan dan penanganan diabetes perlu mendapat perhatian yang serius. Internet of Things (IoT)dapat dijadikan sarana penunjang dalam penanganan penyakit diabetes. Inovasi ini memungkinkanperangkat perawatan kesehatan terhubung dengan jaringan internet, sehingga data pasien dapatdiperbaharui dan diakses secara real-time. Selain mempermudah akses, penggunaan IoT juga akanmemberikan nilai tambah pada efisiensi biaya pelayanan kesehatan. Penelitian ini bertujuan untukmerancang software sistem monitoring gula darah berbasis web yang terintegrasi dengan IoT,sehingga pasien dapat melakukan pemeriksaan, konsultasi dengan dokter dan melihat data rekammedis dari jarak jauh. Data hasil pemeriksaan akan disimpan didalam cloud dan ditampilkan secaraonline. Penelitian ini menggunakan Node MCU ESP8266 sebagai mikrokontroller yang telahdilengkapi dengan modul WiFi, Thingspeak sebagai cloud, aplikasi online dengan “Diamons” sebagaidashboard yang mampu menampilkan presentasi data grafis, dibangun dengan bahasa HypertextPreprocessor (PHP) sebagai bahasa pemogramannya. Penelitian ini akan melibatkan pihak medisdalam pengambilan keputusan. Umpan balik yang diberikan kepada pasien berupa anjuran sepertiresep obat, pola makan, dan kegiatan fisik yang harus dilakukan oleh pasien.


2020 ◽  
Author(s):  
Afrin Khan ◽  
Aniket Nishad ◽  
Anuj Verma ◽  
Diwakar Mandal ◽  
Chandan Kumar Das ◽  
...  

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