Design And Application Of Iot Based Real-Time Patient Telemonitoring System Using Biomedical Sensor Network

Author:

Debnath Prama1ORCID,Mahmud Apple1,Hossain Ahsanul Kabir1,Rahman S M Imrat1

Affiliation:

1. American International University Bangladesh

Abstract

Abstract The field of Internet of Things (IoT) and Remote Patient Monitoring (RPM) system has been developing rapidly causing these technologies to be adopted in multiple domains all around the world. This paper presents the design of a real-time remote monitoring system for vulnerable patients. The proposed device measures body temperature, heart rate, blood pressure, Oxygen saturation level and electrocardiogram signals (ECG) of patients admitted into Intensive Care Unit (ICU) or Operating Room (OR), and automatically updates all these data on a corresponding hybrid cloud server in every 45 seconds to which a corresponding physician has access. More than 2000 cycles are conducted within a day where all five biomedical parameters are measured and stored on each cycle. Furthermore, the system includes alarm triggering system and emergency Short Message Service (SMS) alert service using GSM technology in order to initiate proper control actions in case of emergencies. This device facilitates doctors, nurses, relatives of patients, or anyone around the world to monitor real-time parameters of patients. The process was tested on 10 patients obtaining a satisfactory outcome. The system proposed in this paper reveals a new vision of biomedical engineering which tends to the era of remotely controllable ICU environment with more interactive, efficient and fast response of both patient and corresponding physicians.

Publisher

Research Square Platform LLC

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. EMBEDDED SENSOR NETWORK;Journal of ISMAC;2023-03

2. Health Monitoring and Observatory System for Paralysed Patients using Blynk Application;2022 6th International Conference on Devices, Circuits and Systems (ICDCS);2022-04-21

3. Real-Time Health Monitoring System Based on Smart Wearable Devices;Software Engineering and Applications;2022

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