Wireless Sensing Technologies For Blood Pressure Monitoring: An Overview

Objectives and Scope: Any changes

Discuss about the Wireless Sensing Technologies for Blood Pressure.

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In order to use wireless sensor technology for monitoring BP, an experimental set-up has been processed. There has been conceptual view of the system allows medical staffs in order to track vital signs related to the system. Depending on the distance from the base stations, the particular messages pass through several nodes of router. The graphical user interface is based on java that runs on the host system. However, main window of the graphical user interface can add data on the system. Based on the system, the system has been developed in the project. The topology of wireless network is making of static network infrastructure.

The project has various objectives such as identifying technological advancement on health care system. Analyzing the role of wireless sensor technology in order to monitor BP is one of the major objectives of the project. Sensor nodes of the network have been designed in order to allow movement of patient (Benharref and Serhani 2014). On the other hand, three types of interfaces with BPM.  Measurements of blood pressure can be maintained for every patient. The readings are properly maintained for every person. In addition, present implementation of the system would be helpful. Findings the challenges need to analysis and take effective steps for overcoming the issues.

The present implementation of project can open future opportunities.  The improvements include a graphical display of incoming data for replacing present display of text. Alarm generation capability helps to alert care provider of reading outside of the limits. It is important to develop interface that additionally helps to generate basic algorithm through the provider and view stored readings from transmitted things of the procedure. Basic location algorithm based on the process. Data encryption routine can enhance effectively run on each of the sensors node that effectively run on each of the sensor node.

As the topic of research, it is important to select.  Wireless sensor technology has a crucial role on daily lives. Moreover, wireless sensor technology is helpful in health care services. Thus, it is important to develop applications and make effective use of the wireless applications. In the project, objectives of the project have been set.  In order to fulfill the objectives, secondary data from different sources are reviewed. After completion of the process, designing the research proposal is achieved. On the other hand, effective methodological tools are selected in the present study so far. As the research would be based on, planning has been made based on gathering of secondary data. After analyzing the research, findings and conclusions are generated.

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Progress so far

In order to develop wireless sensor technology for monitoring blood pressure, articles from different sources are gathered.  It is important to select appropriate methodological tools for the research (Kakria et al. 2015). The methodological tools such as research design, philosophy and approaches are selected. In addition, data from secondary sources are analyzed. As wireless sensor technology presently provides several advantages and usability in health sector, it is required to consider the topic as vital and analyze to get best possible outcome.

There is Healthcare Monitoring framework utilizing WSN. In any case, fundamental disadvantage of this framework is that we can screen the patients for 100 meters separate as it were. The There is Healthcare Monitoring framework utilizing WSN with GSM we can screen the patients anyplace over the world (Jung et al. 2014). Amid the mid 1980s, simple cell phone framework was encountering quick development in Europe, especially in Scandinavia and United Kingdom, yet additionally in France and Germany. Every nation built up its own particular framework, which was incongruent with every other person’s in gear and operation (Li et al. 2015). This was undesirable, in light of the fact that not exclusively was the portable hardware restricted to operation inside national limits, which in a bound together Europe were progressively insignificant; however, there was additionally an extremely constrained market for each sort of gear, so economies of scale and the resulting reserve funds couldn’t be figured it out. By utilizing Wireless sensor system, we make patients’ life more agreeable and give practical arrangements.

The security is vital in checking of human services which may give by remote sensor arrange (Tarapiah et al. 2016). So, it is a rising exploration point and it merits contemplating. The patients were checked in situ to sensibly survey the plausibility of WSN innovation for persistent observing. Our examination is somewhat organizing engineering named Health observing system which coordinates WSNs into web (Benharref and Serhani 2014). Each WSN is sorted out as a versatile specially appointed system with one assigned work switch associating with web. The medicinal services information gathered by sensor hub is altogether transmitted to work switch, at that point sent to back-end web server through web (Vashist et al. 2014). The entire system organization including working mode setting for sensor hub, detecting information overseeing and examining are handled on back-end server (Aldaoud et al. 2015). A proving ground is developed to test the execution of Health Care Monitoring Net, where sensor hub measures pulse, ECG, heart rate, temperature.

Up-to-date Literature Review

Driven by innovation progresses in low-control organized frameworks and therapeutic sensors, we have seen in later a long time the rise of remote sensor systems (WSNs) in medical services. These WSNs convey the guarantee of radically in demonstrating and growing the nature of care over a wide variety of settings and for various fragments of the populace (Li et al. 2015). For instance, early framework models have shown the capability of WSNs to empower early identification of clinical deteriorate through continuous patient observing in healing centers, improve specialists on call’s capacity to give crisis mind in extensive debacles through programmed electronic triage, enhance the life nature of the elderly through shrewd environments and empower extensive scale field investigations of human conduct and perpetual maladies.

In the meantime, meeting the capability of WSNs in wellbeing mind requires tending to a large number of specialized difficulties (Benharref and Serhani 2014). These difficulties reach well beyond the asset limitations that all WSNs confront as far as constrained system limit, preparing and memory imperatives, and in addition rare vitality holds (Fernandez and Pallis 2014). In particular, dissimilar to applications in different spaces, medical services applications force stringent prerequisites on system unwavering quality, nature of administration, and especially security (Hamida et al. 2015).  In this audit paper, we develop these difficulties. Furthermore, give cases of introductory endeavors to go up against them (Yuvaradn et al. 2016). These illustrations include: arrange frameworks for crucial signs checking that it is conceivable to accomplish profoundly capable information conveyance over multi-bounce remote systems sent in clinical situations.

Advancements in remote sensor network (WSN) innovation and the general scaling down of their related equipment are prompting a few potential applications in the therapeutic business (Brinkmann 2014). Specifically, the capacity to remotely screen quiet indispensable signs continuously from a brought together area is a developing zone of intrigue (Li et al. 2015). This enthusiasm for WSNs is powered by the way that remote sensor hubs are financially savvy, minimized and can be vitality effective (Fernandez and Pallis 2014). Choices incorporate Wi-Fi and Bluetooth, which are centered on applications that ordinarily require higher data transfer capacity. Remote hubs utilizing these two correspondence conventions are typically substantially costlier and power hungry, and on account of Bluetooth, enable a predetermined number of hubs to impart at any given time (Brinkmann 2014) These issues make Wi-Fi and Bluetooth hubs unacceptable for across the board remote observing of patient crucial sign information (Benharref and Serhani 2014). Furthermore, the ability to do this without introducing a costly wired foundation is exceedingly alluring. This paper portrays a framework utilizing Crossbow 2.4GHz Mica remote sensor hubs, a business circulatory strain screen (BPM) and an inside created Graphical User Interface (GUI) to outline a model framework that can screen key signs from an extensive number of patients all the while.

As wireless sensor technology becomes one of the important technological advancement in medical filed, a research has been conducted on the development of wireless sensor technology in order to monitor blood pressure (Chen et al. 2014). In this purpose, a research has been conducted. Literatures from several books, articles and websites are reviewed. In addition, selection of research methodology has been conducted that would help to conduct the research in appropriate way. After the process, secondary data are analyzed that helps to analyze the impact of wireless sensor technology in monitoring blood pressure.

Outcomes so far

It is important to make effective interaction between supervisor and researcher. In the research, supervisor helps in selection of methodology for the research. In addition, role of wireless sensor technology in medical field has been discussed that helps to select the topic of research and pursue the research with proper objectives. On the other hand, supervisor helps to form time plan for the research that assists in completing the activities within the allocated time.

In order to develop the project, supervisors have important role. There are 5 number of meetings have been arranged where selection of the topic, potential advantages and disadvantages are discussed that helps to identify the risks involved with the system.

The rising field of remote sensor systems joins detecting, calculation and correspondence into a solitary small gadget (Li et al. 2015). Without a doubt, all correspondence between hubs is through the remote transmission strategies. Detecting is a strategy used to accumulate data about a physical protest or, then again process, including the event of occasions (Memon et al. 2014). A question performing such a detecting undertaking is known as a sensor. A sensor node is a foundation involved detecting (measuring), registering, and correspondence. A WSN comprises of appropriated hubs that help flag handling, implanted registering and availability (Brinkmann 2014). WSNs commonly transmit data to gathering (observing) stations that total a few or the greater part of the data.

Because of conveyed nature of these systems and their sending in remote regions, these systems are powerless to various security dangers that can antagonistically influence their appropriate working (Patel et al. 2012). For the most part, sensor hubs are worried around two important security issues, which is protection saving and hub confirmation. Security implies the information privacy is accomplished under security system (Miramontes et al. 2017). While sensor systems share numerous similitudes with other circulated frameworks, they are liable to an assortment of exceptional difficulties what’s more, imperatives.

Time Synchronization is valuable for better correspondence among the sensor hubs. The time synchronization issue is to synchronize the neighborhood checks of sensor hubs in the remote system (Li et al. 2015). Numerous utilizations of sensor systems require nearby tickers of sensor hubs to be synchronized, requiring different degrees of exactness. Since all equipment timekeepers are defective, neighborhood tickers of hubs may float away from each other in time. At the point when a hub in the system produces a timestamp to send to another hub for synchronization, the parcel conveying the timestamp will confront a variable measure of deferral until the point that it comes to (Rashid and Rehmani, 2016). This postponement keeps the beneficiary from precisely looking at the neighborhood timekeepers of the two hubs and precisely synchronizing to the sender hub. There are a few purposes behind tending to the synchronization issue in sensor systems (Imani et al. 2016). A few reasons are as following: Sensor gestures are required to facilitate their operations to play out a specific assignment, Life time of organizes is relying upon control (Flick 2015). Thus, it is important to address the issues while researching on the role of wireless sensor technology in monitoring blood pressure. 

WBS

Task Name

Duration

Start

Finish

Predecessors

Resource Names

0

Wireless Sensing Technology for Monitoring Blood Pressure

56 days

Mon 7/24/17

Mon 10/9/17

1

Topic selection for the study

1 day

Mon 7/24/17

Mon 7/24/17

Project Supervisor, Researcher

2

Preparing the layout for proposal

2 days

Tue 7/25/17

Wed 7/26/17

1

Project Supervisor, Researcher

3

Design the research proposal

2 days

Thu 7/27/17

Fri 7/28/17

2

Researcher

4

Literature Review

14 days

Mon 7/31/17

Thu 8/17/17

3

Researcher

5

Developing the proper methodology for research

10 days

Fri 8/18/17

Thu 8/31/17

4

Researcher

6

Collection of the Secondary Data

7 days

Fri 9/1/17

Mon 9/31/17

5

Researcher

7

Analysis of the Data

7 days

Tue 10/1/17

Wed 10/20/17

6

Researcher

8

Collection of findings from the analysis

4 days

Thu 10/21/17

Tue 10/26/17

7

Researcher

9

Drawing conclusions from the study

4 days

Wed 10/27/17

Mon 11/2/17

8,4

Researcher

10

Preparation of rough draft for the study

3 days

Tue 11/3/17

Thu 11/5/17

9

Project Supervisor, Researcher

11

Review and final submission of the work

2 days

Fri 11/6/17

Mon 11/9/17

10

Researcher

References

Aldaoud, A., Laurenson, C., Rivet, F., Yuce, M.R. and Redouté, J.M., 2015. Design of a miniaturized wireless blood pressure sensing interface using capacitive coupling. IEEE/ASME Transactions on Mechatronics, 20(1), pp.487-491.

Benharref, A. and Serhani, M.A., 2014. Novel cloud and SOA-based framework for E-Health monitoring using wireless biosensors. IEEE journal of biomedical and health informatics, 18(1), pp.46-55.

Brinkmann, S., 2014. Interview. In Encyclopedia of Critical Psychology (pp. 1008-1010). Springer New York.

Chen, L.Y., Tee, B.C.K., Chortos, A.L., Schwartz, G., Tse, V., Lipomi, D.J., Wong, H.S.P., McConnell, M.V. and Bao, Z., 2014. Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care. Nature communications, 5, p.5028.

Chen, M., Zhang, Y., Li, Y., Hassan, M.M. and Alamri, A., 2015. AIWAC: Affective interaction through wearable computing and cloud technology. IEEE Wireless Communications, 22(1), pp.20-27.

Chiuchisan, I., Costin, H.N. and Geman, O., 2014, October. Adopting the internet of things technologies in health care systems. In Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on (pp. 532-535). IEEE.

Fernandez, F. and Pallis, G.C., 2014, November. Opportunities and challenges of the Internet of Things for healthcare: Systems engineering perspective. In Wireless Mobile Communication and Healthcare (Mobihealth), 2014 EAI 4th International Conference on (pp. 263-266). IEEE.

Flick, U., 2015. Introducing research methodology: A beginner’s guide to doing a research project. Sage.

Hamida, S.T.B., Ahmed, B., Cvetkovic, D., Jovanov, E., Kennedy, G. and Penzel, T., 2015. A new era in sleep monitoring: the application of mobile technologies in insomnia diagnosis. Mobile Health, Springer International Publishing, pp.101-127.

Imani, S., Bandodkar, A.J., Mohan, A.V., Kumar, R., Yu, S., Wang, J. and Mercier, P.P., 2016. A wearable chemical–electrophysiological hybrid biosensing system for real-time health and fitness monitoring. Nature communications, 7, p.ncomms11650.

Jung, S.J., Shin, H.S. and Chung, W.Y., 2014. Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel. IET Intelligent Transport Systems, 8(1), pp.43-50.

Kakria, P., Tripathi, N.K. and Kitipawang, P., 2015. A real-time health monitoring system for remote cardiac patients using smartphone and wearable sensors. International journal of telemedicine and applications, 2015, p.8.

Li, S., Da Xu, L. and Zhao, S., 2015. The internet of things: a survey. Information Systems Frontiers, 17(2), pp.243-259.

Memon, M., Wagner, S.R., Pedersen, C.F., Beevi, F.H.A. and Hansen, F.O., 2014. Ambient assisted living healthcare frameworks, platforms, standards, and quality attributes. Sensors, 14(3), pp.4312-4341.

Miramontes, R., Aquino, R., Flores, A., Rodríguez, G., Anguiano, R., Ríos, A. and Edwards, A., 2017. PlaIMoS: a remote mobile healthcare platform to monitor cardiovascular and respiratory variables. Sensors, 17(1), p.176.

Patel, S., Park, H., Bonato, P., Chan, L. and Rodgers, M., 2012. A review of wearable sensors and systems with application in rehabilitation. Journal of neuroengineering and rehabilitation, 9(1), p.21.

Rashid, B. and Rehmani, M.H., 2016. Applications of wireless sensor networks for urban areas: A survey. Journal of Network and Computer Applications, 60, pp.192-219.

Tarapiah, S., Aziz, K., Atalla, S. and Ismail, S.H., 2016. Smart Real-Time Healthcare Monitoring and Tracking System using GSM/GPS Technologies. International Journal of Computer Applications, pp.19-26.

Vashist, S.K., Schneider, E.M. and Luong, J.H., 2014. Commercial smartphone-based devices and smart applications for personalized healthcare monitoring and management. Diagnostics, 4(3), pp.104-128.

Yuvaradni, B., Dhanahsri, D., Sonali, G., Gauri, T. and Thite, M.S., 2016. Health monitoring services using wireless body area network. Imperial Journal of Interdisciplinary Research, 2(5).

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