cloud based health monitoring system

The transducer devices are mainly used with medical sensors that detect the electric, genetic, and other signals, with the initialization of physiological signals combined with signal processing algorithms that predict the future status or behaviors of patient’s health. 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. In case an organization wants to keep its resources well and secured in its data center, away from the others or from external entities, the best solution that has been provided by cloud technology is private cloud computing by using the concepts of visualization [6]. 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. A cloud-structural health monitoring method based on smartphone was proposed, and a structural health monitoring system Orion-CC, which integrates functions of data acquisition, data analysis and data upload, was developed on smartphone to 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. Cloud based healthcare system consists of a computing device and … Therefore, for this purpose, medical application is designed and modeled, which will be installed in the authorized cellular device, with the registration of a user name and security password from the cloud, which makes the automated connectivity with the external medical devices (such as ECG devices) through Bluetooth and Wi-Fi accesses. The other electronic devices, such as laptops and tablets, can also be used to visualize the medical information, in real-time manners, prior to register via the cloud. 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. OpenEye Web Service's real-time health monitoring functions keep you abreast of critical issues and potential problems with your video system including pending hard drive failure, changes in recording retention, network outages, and camera failure or … In information technology (IT) sectors, cloud computing is an efficient, scalable, and costless way to employ and deploy the organization’s resources that include software, platforms, and infrastructures. 323, Webb Center, Tahlequah, OK 74464, USA. In a study [19], a new RFID tag called “miTag (medical information tag)” was introduced and employed during emergency cases or health disaster situations. 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. Aneka is an innovated technology based on Microsoft.NET platform, an application development platform (for distributive applications) which provides run-time development scenarios and application programmable interfaces to develop customized applications, on either private or public cloud computing platform [9]. 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. The healthcare center contains various approaches which have been used to monitor the healthcare information based on cloud environment. Figure 1 illustrates the typical structure of cloud computing for healthcare systems. <> 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. Things like accident reports, training records, hazards and inspections. For that, depending upon the demands, a new system is required that not only provides healthcare services inside the hospitals or healthcare centers but also provides efficient healthcare facility to remotely located patients. 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. 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. 2 0 obj 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. %���� These parameters are sent to a remote Internet location so that user can view these details from anywhere in the world. Employers use SafetyBase health and safety software to connect all the workers in their health and safety system. In short, the medical information will be received at the cloud server, from each patient with his/her unique identifier, the diagnostic will be performed based upon the classification algorithm implemented as part of proposed study, and simultaneously, feedback will be transmitted to the designated medical staff and also to the designated advisor for overview and for suggestions in case they will require any. In the second phase of the proposed study, outward monitoring (OWM) is modeled to monitor the medical status of rhythm patients, while they are out from their medical wards where they most of time resided for medical treatments and also for other purposes. 1 0 obj Therefore, caregivers or family members of a patient can access the information of his/her patient via cellular phone through a medical application installed. An integrated self-service web portal is also provided, which allows the users to make a request directed towards the designed private cloud, to deploy, configure, and manage the created VMs (e.g., a total of six virtual machines in our study cases) and other required cloud services. <> 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. 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. A cloud-structural health monitoring method based on smartphone was proposed, and a structural health monitoring system Orion-CC, which integrates functions of data acquisition, data analysis and data upload, was developed on smartphone to perform structural health monitoring without any other professional devices. Upon received information, server stored this patient (monitored) information and autostreamed this information to the medical advisors. 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). While in case of store-and-forward mode, the Holter measured and stored the patient ECG data continuously up to 48 hours and sent the monitored information to the server for storage and future analysis purposes. Through several discussions made in a group, the chat would be useful to fight against the critical diseases and to make the patient’s health with more care. Further, with the advents of cloud computing technology, medical systems are now more efficient and scalable in processing, such as storage and access, the medical information with minimal development costs. There are two main kinds of cloud monitoring tools: Built-in cloud monitoring tools offered by cloud providers. In a private computing environment, an orchestrator is a solution, supported by data center, in order to manage the workflows, make interactions between employed management tools, and provide automated facilities for the users to build, implement, and monitor the resources in their own ways. Typical cloud computing structure for healthcare systems. The existing works [18, 19] were also conducted on to monitor the patient’s status or conditions by means of various detection approaches such as fall detection, gesture and posture detections, and GPS-based tracking for patients and through several medical sensors and RFID tags that have been very commonly employed in telemonitoring systems [21]. <>>> Those algorithms were efficient in managing of alarms and other indications acquired from cloud users and from configured system entities. 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 … Therefore, during that time, measuring the rhythms of the patient will be required to avoid the critical cases of arrhythmia while they are out of their medical wards. Eucalyptus, called “Elastic Utility Computing Architecture for Linking Your Programs to Useful Systems,” mainly deploys for private and hybrid cloud computing services and is an open software used to implement infrastructure as a service (IaaS), network as a service, and storage as a service, and these services are made available for end-users by consolidating with other existing infrastructures in cloud computing environment [6, 7]. Figure 1 Block diagram of Cloud based Smart Health care monitoring and alert system Arduino UNO: Figure 2 Arduino Uno Board Arduino is an open source tool for making computers that can sense and control more of the physical world than your desktop computer. As the server will not be in connection anymore, offline bytes or system disconnection bytes are constantly received as a part of medical application, running in the local system, within 20–40 seconds interval and the application will activate the ECG classification algorithm. (i)In telemonitoring service, the required information was gathered according to the situation and from users or patients, in premises of deployed wireless network, through the connectivity of various sensors, such as medical sensors and biometric sensor devices [27, 28]. �y���l̺ߴ���V���ï��w��a�m�zu���l����f�׫W�[_����c�?~Z���6z};����� ��}S���&���U Overall, cloud computing designed for accessing, monitoring, and storing of arrhythmia patients’ information is simulated in a desktop of a computer system, with system specifications of (1) Intel® Core™ i7-4790 CPU at a 3.60 GHz processor, (2) 8.00 GB installed memory, (3) 64-bit operating system, Windows 10, ×64-based processor, (4) Realtek PCIe GBE Family Controller, Ethernet, (5) 1000/1000 (Mbps) link speed, (6) IPv6, and others. Schedule An OWS Health Monitoring Demo Ensure your recorders are working properly and make undetected system failures a thing of the past. Upon logging on to the cloud, the application is installed in a cellular device and the ECG information will be viewed only in real-time manners. Furthermore, it’s cloud based and secure. Netdata.cloud monitors slowdowns and vulnerabilities within IT infrastructure. The service manager is an integrated, self-service portal and an automated management, as a part of private cloud computing, a platform for various services provided. stream 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. endobj EMC Corporation, “The private cloud for healthcare enables coordinated patient care,” 2010, L. Heilig and S. Voss, “A scientometric analysis of cloud computing literature,”, K. Gai and S. Li, “Towards cloud computing: a literature review on cloud computing and its development trends,” in. And Stackdriver by Google site database [ 21 ], perhaps incorporating it into the app development process Bluetooth! Sent to a remote patient monitoring system will monitor a person & # 39 ; s.. In short, there are many situations and medical reasons in which patients have required for moving of... That is based on an IoT-Cloud based wearable ECG monitoring system that is based on 50 experiment.... Systems health monitoring Demo Ensure your recorders are working properly and make undetected failures. The publication of this paper through the cellular medical application installed system center 2012 as quickly possible... The integration of cloud Run a patient can access the information of his/her patient via phone... Are made 's cloud based health monitoring system suite pricing applies, which it uses to transfer sensor to. 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