Real-Time Cyber-Physical System for Healthcare Monitoring in COVID-19

Real-Time Cyber-Physical System for Healthcare Monitoring in COVID-19

Girish Talmele, Urmila Shrawankar
DOI: 10.4018/IJWLTT.297622
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Abstract

The Cyber Physical System (CPS) is used to integrate physical processes with computation and communication. Recent advances in internet of things; cloud computing and machine learning is making cyber physical system an emerging technology in healthcare system. This paper present real time cyber physical system framework for healthcare monitoring system plays major role in pandemics such as Covid-19. The system processes real time patient’s critical data such as blood sugar, blood pressure, temperature used to save life of patients. The real time processing done at the sensor node using real time tasks scheduling. The sensor node data get analyze on fog nodes taking time critical actions. The healthcare data then send using Kafka real time streaming using Kafka pipeline. The processing of healthcare data using Spark in real time done at Hadoop Distributed File System (HDFS) on cloud .
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Introduction

As of now, the world is confronting the most genuine worries in human services including the ascent of human services costs, the development of maturing populace and the rise of new chronic and pandemic decease such as Covid-19. Recent advancement in computation and communication technologies Cyber physical system plays an important role in healthcare system. Cyber physical system also called as smart system connects physical world with the computational component i.e. cyber world using communication technologies which result in smart services and improve quality of life. Cyber physical system is used variety of application including medical and healthcare system, automotive, transportation, emergency response system, intelligent manufacturing and production, sustainable development and many more(Alamri et al., 2013).

Role of Cyber Physical System in Medical and Healthcare Services

Research of cyber physical system in healthcare is requiring for implementation of smart medical and healthcare service. Cyber physical system research in healthcare is in its starting phase. Cyber physical system in smart healthcare system consist of patient monitoring and real time control and feedback system, patient and doctors digital record storage and real time analytics for decision making . Cyber physical system in healthcare system used to coordinate and management of adaptive medical devices(Hackmann et al., 2014)[3]. Many cyber physical system architecture is presented past but very few presented in the field of healthcare application. Cyber physical system using service oriented architecture. Cloud and wireless sensor network based integrated architecture for cyber physical healthcare system. Cyber physical system for patient healthcare using artificial intelligent is proposed in several research article(Jindal & Liu, 2012)[5]

Real Time Cyber Physical System in Healthcare

Real time operation and scheduling required in different monitoring and control tasks in cyber physical healthcare system. Implementation of timing constraint in cyber physical healthcare system is challenging because of following:

  • The real time tasks in cyber physical healthcare system having different release time and deadline as the computing nodes location and physical movement is different

  • The real time tasks having hard deadline, missing dealing will be result in loss of lives

Figure 1. shows the real-time cyber physical system application domains.

Figure 1.

Real Time Cyber Physical Systems Domains

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The organization of paper is as follows: The first section presents the real time cyber physical healthcare system. The second section describes the real-time sensing for cyber physical healthcare systems, The third section illustrates the role of fog computing in cyber physical system. The Fifth section presents the use of Kafka for real-time data-streaming in remote healthcare systems The sixth section describes the Spark for healthcare big data processing. The last section gives the conclusion of the overall research study.

Real Time Cyber Physical Healthcare System

Real time cyber physical healthcare system is as shown in Figure 2 where different types of sensors used to collect health information from patients from doctors and medical staffs including doctors, nurses and others, medical devices(Tabish et al., 2014).

Figure 2.

Real Time Cyber Physical Healthcare System

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Real time physical healthcare system consist of following modules:

  • Sensing: Different sensors used to monitor various health parameters

  • Embedded Real Time Operating System: Sensor data is processes by embedded processing unit in real time using real time operating system. Real time scheduler is used to schedule different concurrent tasks in real time

  • Fog computing: Sensor data first processes by the fog nodes in real time. Fog nodes processes data real time analytics and decision making and control

  • Kafka pipeline for real time processing of healthcare data.

  • Spark framework for real time processing of healthcare data

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