Io t and cloud based computational framework, evolutionary approach in healthcare monitoring and services
- 1. IoT and Cloud-Based Computational Framework, evolutionary approach in Healthcare Monitoring and Services S. ABU OWAIS BIN NASAR CT-047 FAHAD HUSSAIN CT-062 NED UET
- 2. Introduction Advent of handheld and portable computational devices and efficient biomedical sensors has made the concept of internet of things a reality. Recent decade it has been seen a huge number of wireless and portable devices medical devices are brought into the market, that are even capable of real time monitoring. But still big data challenges are there in order to handle, store and analyze data generated by these devices. This paper provides a cloud base model to deal with the problems
- 3. Related work Biomedical Sensing and health monitoring Interconnected sensors create a body area Cyber Physical System monitoring persons health. Recent year Scientist and Engineers has also worked on different communication technologies making possible for integrating wearable and smart phones in terms of signal monitoring and finally distributing them to central system. Due to these connected things its now possible to remotely monitor subject for health risk. Smart, compact and biocompatible sensor are been kept on design, capable of monitoring physiological parameters. Researches are being carried out even to monitor ECG, EEG and EMG signals via portable non-invasive devices via indirect measurement methods.
- 4. Related work Findings After studying the representative recommendations in this field a few discoveries can be recognized that legitimize and review commitments to works: •The quantity of wearables, cell phones and other associated things are expanding altogether. Expanding the possiblity of using new portable wireless devices and taking advantage of their omnipresent detecting and potential outcomes. •The use of client versatile things for helping bio health detecting is still developing. A few works propose utilizing the gadgets for restorative observing. •IoT sets up an especially arranged, passed on, and complex course of action with regard to the colossal decent variety of sensors and different gadgets/detecting components that gather information
- 5. Health Monitoring Environments Physical trainers will use these methods to find out information on their player. They will then use things such as the heart rate test, blood pressure, lung function and waist to hip ratio to get background information on their client finding out a bit of scientific information on them which will be important.
- 6. Devices Connection with WLAN Connecting Smart devices and Medical staff devices together to deploy IoT wireless communication network within a limited area. Connection of these devices setup Wireless Local Area Network (WLAN) so it’s can easily access remotely from anywhere and improving the performance of network by the establishment of WLAN. The data rate can be screen by network organize interface of each device.
- 7. Framework Specification The framework of distributed application provide design and configuration to share and distribute application workload. The methodology used to monitoring the advanced healthcare application, the SD detection used to process intensive data acquisition and high processing for versatile environment. The significance of providing solution in versatile environment of bio health monitoring that looked into in SD Detection as application based on ECG analysis. Application analysis for task and data flow decomposition Dependence of application area and its type based on overall activity of application that fragmented into different task, which are as underneath: • Local and remote computation for well application partition must be designed. Methodology can be Static: by utilizing smart sensors established application processing for candidate or Dynamic: which part can be processed out of the device for determination of application analyze. • By defining granularity unit, the application size unit computed separately. Module, process, class, component and method are standard option. Using granularity as for partitioning the application because abstraction level and data transmission are related for requirement. Communicating application details and synchronization need to be increase for abstraction on high level allow by coarse-grained. Scheduling work need for fine-grained as granularity unit used for application in this framework.
- 8. Framework Specification – contd. Outlining right disintegration of the application are imperative by reviewing executions and most recent procedures. The data-flow diagram play an important role for designing proper application requirements and workplace. Wearable and detecting device are restricted asset target device implemented by many computer method. Improvement of battery consumption and communication capabilities must be consider. Application can be described by G = {N, E} where: • N is the node and requirement for data acquisition, processing and monitoring are representing set of application's task. Application divided into a list N = {n1, n2, ..., nn} • E is the set of edge that represents exchange of data flows between tasks. Exchange of data between tasks and volume data flow set the precedence. Volume of data exchanged between the tasks i and j defined by E (i, j) ε E. Latest techniques mentioned in SD Detection for most common processes of list of identified tasks.
- 9. Deployment and calibration of the system Different capabilities run on different device for each task. Computing resources, battery consumption, network bandwidth availability and latency, etc. are most suitable computer where each task have to run. Carefully measure the execution of key device under each profile and context application. For meeting the requirements it is necessary to check enough capabilities of device. Information stream and distributed configurations are setup as per information trade between these devices to get expected outcome by distributed application. Outcomes performance as expected by overall system works should be monitor of resource planning step; step can be successful completed by the help of proper system modelling and simulation.
- 10. Conclusion The IoT environment is a proven solution as it provide a collaborative and distributive way to monitor and gather the bio-signals and finally relay them to the central system, also they makes the real-time monitoring every where possible. The flexibility of system in execution by using resources from available devices so by using shared computational resources they can monitor and analyze data in real time. This proposal can be applied to other IoT based scenario where data intensive processing is to take place.