Therefore, the signs, such as √ and X, are used to show that the ECG information was received and the security test was verified or not. In Figure 2, a telemonitoring system is proposed, which monitors the cardiology patient’s information through connecting with ECG (electrocardiogram) device, in real-time mode and store-and-forward mode which encompassed a Holter and a controller (or server). Therefore, caregivers or family members of a patient can access the information of his/her patient via cellular phone through a medical application installed. as Zigbee or low-power Bluetooth, which it uses to transfer sensor data to the concentrator. In detail, we entered 200 arrhythmia patients in the designed database and were also able to manage their medical information and the corresponding reports upon individual requests (by patients, medical term, and medical advisors). Application controller provides managing of the facilities, for private cloud platform, in order to manage the deployed applications, such as ECG information acquisition and storage, ECG classification algorithm, alarm indications, and API for ECG belt, and services for information access and monitoring, respectively. To be more enhanced, the technologies called cloud computing systems are efficient and scalable solutions for existing networks and have been playing tremendous roles in healthcare systems in terms of information monitoring, acquisition, and storage. 2017-0-00756, development of interoperability and management technology of IoT system with heterogeneous ID mechanism) and the Faculty Research Fund of Sejong University in year the 2017. Chat engine facility, in Figure 5, is also a part of proposed system design which was employed to provide group chat service (or text communication) among the medical advisors appointed or working in the medical center. In this study, through the proposed solution to access and monitor the medical information from patients in cases of the inward system and outward system, private cloud computing platform is designed by employing of virtualization technology in Microsoft.Net platform which allows to design and employ the private cloud computing platform, for medical information monitoring, analyzing; and automated classification, as infrastructure-as-a-service. Moreover, the study provided an immense platform of knowledge against the causes of arrhythmia and about the arrhythmia chat engine in which medical advisors can share their ideas and suggestions that will be remarkable to fight against the enormous condemnatory heart diseases. We are committed to sharing findings related to COVID-19 as quickly as possible. As concluded, the most efficient way to manage an organization’s dedicated resources, especially from the encounter of security, and keep their information internally as part of organizational regulations without enrolments of external entities (e.g., outside of the organization), is private computing platform. The remote monitoring of patients’ health or telemonitoring systems via sensor devices and the use of wireless sensor networks play an important role in making a coordination between the patients and medical advisor and also between medical sensor devices and other parts of the telemonitoring system [11–15]. Therefore, in the proposed study, a private cloud computing platform, using Microsoft.Net platform and System Center 2012, is considered and deployed as an efficient and cheaper way to access and measure the continuous real-time medical status or information of patients that are located in premises of hospital, such as inside the medical ward and outside the medical wards or in specified boundary of a hospital deemed in our study cases. The design of miTag was deemed highly scalable and extensive that can be used with a variant of communication systems, that is, GPS, and able to sense the patient status such as blood pressure rate, body temperature, and ECG signals. To do this, wireless sensor network has modeled in which a number of sensors are configured in hospital premises that are sufficient to access and monitor the patients’ medical information, through employing of ECG belt and also their positions, in the boundary of the hospital. In this paper, we propose a new method for ECG monitoring based on Internet-of-Things (IoT) techniques. So it’s a place to securely record and report everyone’s safety events. In real-time monitoring, in case of inward monitoring which covers the area (e.g., width × height), the information is a continuous measuring from ECG device which attached with the selective parts of the patient body, and the 12 leads are used in our case for arrhythmia measurements. Nowadays, the ECG devices are equipped with a wired and wireless connectivity; therefore, in Figure 6, to avoid the network’s issues as the retrieving of patient’s information is critical, the proposed study uses wired LAN connections and as well as wireless connections which are also beneficial in case of disconnection issues relevant to wired networks. The sensing technology, employed in hospitals, is not very old (i.e., ECG or EKG) but has been changed as the passage of time corresponding to the technology enhancements and medical system requirements. For example, a new process is defined that has to manage a private computing environment, and before processing, permission criteria have to be fulfilled and should be possible with the support of service management. To resolve the issues of security, the private cloud computing is a significant and trusted solution for medical information exchanges, with the satisfactions of information confidentiality and authorized access; moreover, medical organizations can also leverage their other important resources [2–5]. But in the current study based on some requirements, specifically due to the security issues, communication is limited to the local private body area networks (PHBAN), a network which retrieves the information from the patient through employing of medical noninvasive equipment or noninvasive devices attached with the patients; in our case, we use the ECG devices and also ECG belt with wireless sensor (ECGBWS) according to the scenarios, such as inward monitoring (IWM) and outward monitoring. In inclusion, through employing of cloud computing infrastructure, a health organization is able to manage its overall organizational structure, as a solution emerges with the coherent-optimal healthcare system. Each workflow engine was hosted, as a part, inside a tomcat container and would be increased in numbers based on the work demands from the users. Cloud based healthcare system consists of a computing device and … The analysis was always performed based on the static computation of ECG classification algorithm installed and resided as a part of the cloud server. Sooner, the user jobs are being collected by the workflow engine and processed to the Aneka, where each job resided in the waiting queue is triggered depending on the availability of resources. In last decades, a number of researches have been conducted for the development of advance context-aware medical applications, by a combination of computer networks, cellular networks (e.g., 2G, GRPS, and 3G), and wireless sensor networks. An implementation of the system is shown in Figure 11. Therefore, real-time medical information could be accessed through wireless sensor configuration, and patient will be located anywhere in the boundary of the medical center or in coverage of wireless sensor network. It provides the elementary services that are used in building and managing of clouds and makes the virtualization environment through virtual machines and concepts, in which the virtual cloud hosts, with resources (e.g., storage and cloud networking), are configured and managed through VMM, as part of private cloud computing design and its services. Health Monitoring System. Nowadays, ECG devices are also available that have integration with wireless circuitry, designed to transmit the observed information of arrhythmia patients directly towards the system that has a configuration. Park, and G.-C. Park, “A Design and Analysis Ubiquitous Healthcare Monitoring System over Wireless Sensor Network,”, D. Aranki, G. Kurillo, P. Yan, D. M. Liebovitz, and R. Bajcsy, “Real-time tele-monitoring of patients with chronic heart-failure using a smartphone: lessons learned,”, D. Dziak, B. Jachimczyk, and W. J. Kulesza, “IoT-based information system for healthcare application: design methodology approach,”, V. P. Cornet and R. J. Holden, “Systematic review of smartphone-based passive sensing for health and wellbeing,”, N. Xiong, A. V. Vasilakos, L. T. Yang et al., “Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems,”, A. Shahzad, M. Lee, H. D. Kim, S.-M. Database tool, called MySQL, is employed to deploy and to keep the records of each patient medical information by means of identifier that makes a distinction between each patient’s captured information in his/her identity. The idea to deploy a private cloud platform, for the healthcare system, is significant in ways to reduce the cost and usage of the scalable network and the available resources [6, 8, 16]. Health monitoring systems (HMS) are based on new generation transducers, such as multifunctional optic fibers embedded in the elements, linked together in a tight network. 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