For inward monitoring, in case of rhythmic patient’s health information measurement and monitoring, the wired network is much better as all the patients (i.e., 10 patients) reside in one medical ward and there are only 10 main LAN cable networks to carry the real-time medical information of each patient in. 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 Health Care is the integration of cloud computing and health monitoring. GSM/GPRS networks are utilized for MMS, and further, the patient’s monitored information is transmitted to the MMS center to the server via TCP/IPs. 3 0 obj A. Stankovic, A. Terzis, and M. Welsh, “Wireless sensor networks for healthcare,”, R. D. Caytiles and S. Park, “A study of the design of wireless medical sensor network based u-Healthcare system,”, T. Gao, C. Pesto, L. Selavo et al., “Wireless medical sensor networks in emergency response: implementation and pilot results,” in, N. Fernando, S. W. Loke, and W. Rahayu, “Mobile cloud computing: a survey,”, C. Wen, M.-F. Yeh, K.-C. Chang, and R.-G. Lee, “Real-time ECG telemonitoring system design with mobile phone platform,”, W. Yao, C.-H. Chu, and Z. Li, “The use of RFID in healthcare: benefits and barriers,” in, H. Al Nahas and J. S. Deogun, “Radio frequency identification applications in smart hospitals,” in, M. Mayer, N. Görtz, and J. Kaitovic, “RFID tag acquisition via compressed sensing,” in, C. D. Kidd, R. Orr, G. D. Abowd et al., “The aware home: a living laboratory for ubiquitous computing research,” in, E. A. Fry and L. A. Lenert, “MASCAL: RFID tracking of patients, staff and equipment to enhance hospital response to mass casualty events,”, D. I. Tapia, R. S. Alonso, Ó. García, F. de la Prieta, and B. Pérez-Lancho, “Cloud-IO: cloud computing platform for the fast deployment of services over wireless sensor networks,” in, D. I. Tapia, R. S. Alonso, J. F. De Paz, C. Zato, and F. de la Prieta, “A telemonitoring system for healthcare using heterogeneous wireless sensor networks,”, K. Dongkyun, J. Ha, and K. You, “Adaptive extended Kalman filter based geolocation using TDOA/FDOA,”, H. Liu, H. Darabi, P. Banerjee, and J. Liu, “Survey of wireless indoor positioning techniques and systems,”. Figure 1 illustrates the typical structure of cloud computing for healthcare systems. Here the cloud acts as a virtual server and stores the patient information in third party server which causes serious threats to security and privacy. The pervasive devices or medical sensors are connected with the specific parts of patients’ bodies, to measure the acquired medical information such as blood pressure, sugar level, heart rates, and other medical signals, and the observed medical information will be transmitted to the medical assistance or medical advisor, through the connectivity of wireless media including cellular networks, where the received medical information will be examined for further diagnosis. Therefore, these are significant demonstrations to avoid some major medical issues happening with the patients. As consequence, the upcoming ECG information will be stored and at the same time, the medical analysis will be performed locally in each medical ward, and the medical information will be stored and analyzed to fight against the potential critical medical events of arrhythmia. For that, wearable medical sensors, such as electrocardiography sensors, blood pressure sensors, and glucometer, have commonly been used to make possible to acquire the real-time information from the remotely located patients; therefore, the medical information is further carried, via the Internet, to perform medical diagnosis and the corresponding treatments. A medical wireless sensor network is designed, in which sensors (or access points) are placed or networked in an area that covered most parts of the medical center. IT departments can clearly view and monitor activity throughout a cloud-based health information management system, making it easier to detect abnormal activity. ��:E~�3�˪�şW��ի�h�dhQ�BV��-�ڎ�r#�u���WQ���Y�I��)!4m���\����7���z}�ٶ��uYTUv� Tn@���6`�r#�b�(V�����l�z@_v�#�s���[w~��Ť��+˦(�ym�0 ,������(�h��D��f}����;$֫;\��~����hm�� �d�T�TϲmMQɴm����H6n�〠\^t���o�B��\J�')�.RHE�x��0�?h�o;K��zJ���?�����Q��h��,i��c0fN-L���,��(T��@��J��O��=e���Q#1��W�h�˭��D4s۬�*Ju���N"C� K��D|���Y��#7��"���?���,MJ^������-�\[ϫt�'�2U�œ��Rօ)��ة�. N. Amour, A. Hersi, N. Alajlan, Y. Bazi, and H. AlHichri, R. S. Tolentino, Y.-T. Kim, B. Holter is a patient-worn unit where patients are situated, and ECG devices are connected with them and provided GPS (global positioning system) information which would be helpful in cases of emergency. As the current medical system designed is also mainly focused to employ a potential security solution against the adversaries or unauthorized individuals that might reside inside the medical center boundary or intercepting from outside network. 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. Netdata.cloud monitors slowdowns and vulnerabilities within IT infrastructure. stream (2) A developer entity is designated for building the virtual environment by virtual machine (VM) concept and also authorized to provide approving process of the VM. The platform provides real-time insights into enterprise systems and applications. D. Chappell, “The Microsoft private cloud, a technology overview,” 2011, M. D. Lakshmi and J. P. M. Dhas, “An open source private cloud solution for rural healthcare,” in, S. Pandey, W. Voorsluys, S. Niu, A. Khandoker, and R. Buyya, “An autonomic cloud environment for hosting ECG data analysis services,”, Y. Wei, K. Sukumar, C. Vecchiola, D. Karunamoorthy, and R. Buyya, “Aneka cloud application platform and its integration with windows azure,” in, C. Vecchiola, X. Chu, and R. Buyya, “Aneka: a software platform for .NET based cloud computing,”, H. Alemdar and C. Ersoy, “Wireless sensor networks for healthcare: a survey,”, A. Milenković and C. Otto, “Wireless sensor networks for personal health monitoring: issues and an implementation,”, R. Shahriyar, M. F. Bari, G. Kundu, S. I. Ahamed, and M. M. Akbar, “Intelligent Mobile Health Monitoring System (IMHMS),” in, B. E. Reddy, T. V. S. Kumar, and G. Ramu, “An efficient cloud framework for health care monitoring system,” in, M. Al-Qurishi, M. Al-Rakhami, F. Al-Qershi et al., “A framework for cloud-based healthcare services to monitor noncommunicable diseases patient,”, J. Mišić and V. Mišić, “Wireless sensor networks: performance, reliability, security, and beyond,”, J. G. Ko, L. Chenyang, M. B. Srivastava, J. The telemonitoring systems have been playing very important roles in reducing the effects of sudden critical diseases (i.e., arrhythmia causes) and give future trends for pervasive healthcare systems. Therefore, by using of the master-worker scenario, Aneka manages the upcoming communication between the IaaS that runs Aneka master service and Aneka workers, installed in VM at PaaS. In early future work, this study will be extended with the new developments of hybrid cloud computing, where the main goal is to provide the medical services to the remotely located patients and the concept to measure the medical information continuously. Copyright © 2018 Aamir Shahzad et al. While required, patient information is delivered via MMS (multimedia messaging service) through GPRS (general packet radio service)/GSM (global system for mobile communication) networks. The private cloud-based environment is designed, for patient health monitoring called bounded telemonitoring system, to acquire the real-time medical information of patients that resided in the boundary, inside medical wards and outside medical wards, of the medical center. Fig. Authorized medical advisor analyzes the received information, generates the corresponding feedback, and is authorized to send MMS back to the server to keep connected with the patient for the prospective information. Those algorithms were efficient in managing of alarms and other indications acquired from cloud users and from configured system entities. endobj Detailed literature is conducted in Section 2, and Section 3 describes the proposed system design and modeling, including private cloud design, inward monitoring, and outward monitoring. The offline system scenario is significant in case to handle the future system failures or disconnectivity issues; also, the analysis will be performed in cases of cloud server connectivity issues. In short, public cloud services are efficient and reliable, but they still encompass potential vulnerabilities because they are called publicly open for all. In this case, information is carried through the internet, in the presence of wired networks and TCP/IPs [21]. 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). This was a cost-effective solution, by employing tag, that provided inclusive information by tracking and monitoring the medical conditions of patients in each step (or state) of disaster, such as from the place where the disaster happened to the ambulance and from the ambulance to the hospital. This system mainly encompasses few paradigms that provide the private cloud computing values for a new system development with the specified workloads and designated to the platform entities: (1) An administer entity is designated for building the cloud and perform updating process for applications that were deployed by IT experts. This paper proposes a smart healthcare system in IoT environment that can monitor a patient’s basic health signs as well as the room condition where the patients are now in real-time. Cloud computing is an efficient, reliable, and scalable way for today’s application access, more especially in telemonitoring where the medical application, such as ECG information, can retrieve or access and is hosted to monitor and analyze the retrieved medical information through analysis tools, as soft-as-a-service. In the proposed Cloud-IO design, three important services, telemonitoring, location identification, and communication service, were taken into account, which modeled in the way to be consolidated with each other and should be functional over the cloud computing environment. While the patient is outside of his/her medical ward, a belt is fixed over the specific part of the patient body that has embedded ECG sensor, having a unique entity, communicating with the cloud server through the various access points (APs). Similarly, there is also a new trend of communication, also called ambient intelligence (AMI), based on ubiquitous communication platform, a cloud computing environment that provided interaction between the end-users and various electronic or/and sensor devices over wireless sensor networks, a context-ware design which fulfill users’ demands based upon their technological requirements [27]. 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. This study is also a piece of enhancement made to track and monitor the real-time medical information, bounded in authorized area, through the modeling of private cloud computing. �M2n��V�j) As a consequence, to gain the high efficiency, scalability, and security, with the overall minimal consumption of cost, most of the information technology- (IT-) based systems, such as educational, industrial, transportation, and medical systems, are now connected and communicating through cloud computing platform which minimizes the difficulties and complexities of end-user workloads, without purchasing of any expensive software or hardware. On the other side, with the great development of unobtrusive sensor devices, Bluetooth devices, and radio frequency identification- (RFID-) based sensor devices, for medical systems, their automated configurations with wireless networks make it possible to process the patients’ acquisition information, from anywhere, from anyplace. In studies [31–36], developments have been made to retrieve patient’s real-time medical information or medical status, over the far distance, or remotely from everywhere, which were significant in getting of information and in monitoring, as well. In [8], ECG analyses were performed by hosting application (or analysis software), as software-as-a-service (SaaS) and as a web service, in public cloud computing environment. As telemonitoring systems are not the new technological solutions in the monitoring of patients’ health, several medical healthcare systems [2] have been deployed to monitor the indoor or/and remotely located patients’ health status to overcome the emergency cases and to fight against and diagnose the critical diseases before they become worst. In a study [19], a new RFID tag called “miTag (medical information tag)” was introduced and employed during emergency cases or health disaster situations. A deemed medical center is designed to accommodate 500 patients’ based on the available space or number of built medical units. Personalized Health Monitoring System Using IOT and Cloud – IJCST, 26. 2018, Article ID 3202787, 15 pages, 2018. https://doi.org/10.1155/2018/3202787, 1Department of Computer and Information Security, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea, 2Division of Convergence Computer & Media, Mokwon University, Deajeon, Republic of Korea, 3Advanced Image and Information Technology, School of Electronics & Information Engineering, Chonbuk National University, 664-14 1Ga, Deokjin-Dong, Jeonju 561-756, Republic of Korea, 4Department of Mathematics and Computer Science, Northeastern State University, 611 N. Grand Ave No. Figure 3 - Cloud based condition monitoring. 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 Table 1, the performance results are measured, in which ECG information was accessed and stored in cloud storage (i.e., in MySQL database tool), in case of inward monitoring and outward monitoring modes. <>>> 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. In most common cases, medical hardware is an equipment in different rooms within one building block or in another block, in case the medical center is surrounded by many blocks, such as blocks A, B, and C. Therefore, the movements of patients are always carried out during their medical tests, heart operations, and heart surgery and in cases of recovery corresponding with required exercises and also in cases of open-air relaxation and spending of good time of gossip with family members and friends. For the life demands and to improve and to fulfill the medical requirements of human lives, the notable changes have been accounted in medical sectors that are significant not only for the indoor patients but also for the remote-home residential patients. In one medical ward, the numbers of the patients are limited up to 10 patients, in our case of study, that much scalable to accommodate the number of patients (equal to 10); however, these numbers can be increased according to the requirements and based upon the space available. Furthermore, the children and old people, who might have to suffer from cognitive and chronic illness (and other physical disorders), can also be attained in order to reduce the effects of their diseases, with safer, happier, and more independent lives [19, 21, 24]. Clever solutions for a safer workplace. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In fact, the main goal of this study is to access and monitor the real-time information of cardio-patients through the usage of built-in ECG belt having embedded sensor and ECG device where required. Employers use SafetyBase health and safety software to connect all the workers in their health and safety system. 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. Furthermore, some ECG devices are designed with built-in memory that has limited space to store medical information of patient’s rhythms and should transfer to external devices through the USB port. In Figure 4, a proposed study about private cloud computing and design is illustrated with the employing of System Center 2012. The function of this system is to measuring some biological parameter of the patient’s body like Temperature, Heartbeat, Blood pressure , by using sensors and the sensors will sense the body temperature ,heartbeat and blood pressure of the patient and sends the values to IOT Cloud platform through WIFI-Module. To make an analysis, a replicate copy of ECG classification algorithm is always a part of the local system, in each medical ward, that will be activated only when the cloud server will disconnect. 2 0 obj An implementation of the system is shown in Figure 11. ECG data are gathered using a wearable monitoring node and are transmitted directly to the IoT cloud using Wi-Fi. In our case, the main four virtual machines are created corresponding to the medical wards, meaning that there are four medical wards considered, and each encompasses only ten patients for real-time medical information monitoring, and an API was installed for accessing and monitoring of the patients, while they are outside of their medical wards in a hospital area, which may consider as virtual machines, as part of private cloud computing. For private cloud computing, virtual machine manager (VMM) is a building block and the main management tool for managing the organizational data center. Furthermore, it’s cloud based and secure. Moreover, it is a generic infrastructure that manages the processing of distributive applications and is a consolidation platform to work with other existing infrastructures (e.g., “Amazon EC2” as part of cloud computing [10]. Those algorithms were efficient in managing of alarms and other indications acquired from cloud users and from configured system entities. Smaller cloud providers also frequently offer a … In the offline system, the medical running application is designed with efficiency to receive the upcoming medical information from each patient and store it into a local memory that configures as a part of application software. 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. Furthermore, however, we have introduced an application design that was based on simulation, for an instance, is efficient in case the transmission from cloud computing server is disconnected due to system maintenance reasons and also in case if an unauthorized event will occur and measure the overall cloud health computing system. The cloud consists of layers, primarily the back end and the front end. In private cloud computing, the term visualization has a real meaning to deploy, employ, and manage the required organizational resources or applications running, inside the virtual environment, in virtual machines (VMs), rather install these applications in distinct hardware, in an organization, that consume high capital and management cost. Generally, IOT has widely interconnect the advanced medical resources and supply smart and effective healthcare services to the people. At both sides, in either MMS sent from the patient or sent from the medical advisor, the communication always carried in real-time senses. The use of wireless sensor devices and sensor networks made this possible to provide the medical cares and monitor the facilities for the remote patients. Performance Modelling of a Cloud based Health Monitoring System Using Dynamic Control System 1. Among other, the main goal of this study is to get measurements from the connected ECG devices and to generate corresponding reports, within the private cloud-computing environment, which means that overall medical system access is only limited and accessible within the medical center frontier. 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. Mainly, each type of application or software is hosted and can retrieve through the web-based service, where the end-users can simply request and get the desired information, such as ECG/medical information uploaded/downloaded, medical information analyses, and current and existing reports, according to their queries and demands without the knowledge of application of the underlying complexities and difficulties that might be present in the development or in hosting of any application in cloud computing platform. Cloud computing provides and manages an elastic pool of resources based upon requirements by the end-users’ perspectives; private cloud computing employs in case the resources that are designated for a single organization and public cloud computing in the case of multiply organizations shared the resource pool. In Real-Time Monitoring System, to reduce the time lag in between actual requirement and service treatment and to make an effective healthcare system using IoT and cloud platform by using raspberry pi and various health monitoring sensors. It means that the hospital can just use the services of public cloud to underpin the continuum healthcare and also can manage the administration and other required IT requirements that have the potential to retrieve the real-time information of patients without any delay, truly synchronized and securely shared among the systems (and users), and scalable in cases of workload, and the information is always be accessible when required. At a lower layer, in the top-down scenario, cloud service, platform-as-a-service, is employed to manage the processing of the application or software hosted at SaaS layer. 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