International Journal of Innovative Research in Information Security (IJIRIS) ISSN: 2349-7009(P) Issue 05, Volume 04 (May 2017) SPECIAL ISSUE www.ijiris.com ISSN: 2349-7017(O)

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EXTEMPORIZING HEALTHCARE USING SMART

FABRIC

Ms. Rekha M 1 , M Vinitha Shailaindhiri2, Noorun Nazira3 , 1Assistant Professor, 2,3U G Scholars,

Department of Information Science and Engineering Vemana Institute of Technology,Bangalore

Abstract- The worldwide network of internet of things (IOT) combined with advancements in sensor networks, FID and software platform connects objects of various application fields and technology. IOT is most commonly described as an ecosystem of technologies but it requires necessary components to enable communication between devices and objects. Components being RFID and sensors. Many organization have already implemented IOT. Healthcare industry too have adopted IOT and can be extensively used in the future for the benefit of patients, elderly people and caregivers. A new concept named 'Health Internet of Things (HIOT)' was proposed to exploit sensor technologies and wireless networks in monitoring medical conditions. Also advancements in E textile technologies make the textile multifunctional, adaptive and responsive system which combined with IOT performs functions such as communication, computation and health care benefits. Cloud is used to store, control and retrieve or transform or classify information. The use of cloud based application in healthcare industries is constantly growing to benefit patients so that they can monitor their health, store and share records. This paper aims at developing a dependable, productive, high performance and assured smart healthcare system to deliver service to patients avoiding health risks using e textile technologies.

I. INTRODUCTION

Fig. 1 Mobile app for smart healthcare.

The main drivers of implementing IOT in the healthcare systems are the recent development in sensors, wireless communication, data processing and e textile technologies. The idea behind IOT is to have smart sensors combine directly without human involvement to provide a new applications. Some applications of IOT are mobile medical applications or wearable devices that allow patients to record their health data. Acquiescence with treatment and medication at home and by healthcare providers is a prospective application.IOT extends the typical end-user devices, like desktop, laptop, tablet, and smartphone, to a typical new range of computing and communicating things. Smart healthcare will revolutionize the health care sector by providing personalized healthcare environments. Connectivity of health care solutions through cloud computing or other virtual infrastructure gives caregivers the ability to access real time information that enables them to make informed decisions as well as offer treatment that is evidence based. IOT reduces system costs and errors giving accurate collection of data, automated workflows combined with data driven decisions.

International Journal of Innovative Research in Information Security (IJIRIS) ISSN: 2349-7009(P) Issue 05, Volume 04 (May 2017) SPECIAL ISSUE www.ijiris.com ISSN: 2349-7017(O)

______________________________________________________________________________________________________ IJIRIS: Impact Factor Value – SJIF: Innospace, Morocco (2016): 4.346

ISRAJIF (2016): 3.318 & Indexcopernicus ICV (2015):73.48 © 2014- 17, IJIRAE- All Rights Reserved Page -50

The smart textiles are embedded with the sensors and RFID that are expected to gather healthcare information and transmit to medical centers so as the medical centers can send responses to the patient about their health conditions and warn if any abnormality has occurred. Interest of RFID in enhancing productivity have led to implementation of monitoring practices such as unique device Identification in devices. Smart textiles consist of communication and data processing unit that is interconnected with the powering unit and actuator. The textile is used as a multi-sensoring physiological monitoring device that monitors the heart rate, respiration, temperature, oxygenation and plantar pressure. These textiles are smart phone and Bluetooth compatible and have good quality of data monitoring platforms supporting them such as apps and software’s. These apps are used by the end users (patients) to communicate with the healthcare providers.

Fig. 3 Fitness Band.

Fig. 2 Smart fabric.

II. EXISTING SYSTEM WEARABLES Wearables are smart devices that one can wear just like glasses, wrist watches and bands. They assist to keep track of a person’s athletic performance, heart rate, blood sugar, and tons of other metrics related to health and fitness. Some examples of wearables include smart watches, smart glasses, smart clothing, activity trackers, wearable cameras, Head-Mounted Displays, wearable ECG monitors, hearing aids, and wireless ear buds. Wearables are very handy for patients, as well as saving hospitals money. Wearables provide contextual, continuous data instead of a snapshot in time that clinical monitoring provides. These devices allow patients to interact with their health and lifestyle behaviors in an unique way. Patients who are more aware of the immediate consequences of their lifestyle choices are likely more motivated to change and understand long-term effects as well.

LIMITATIONS The present technology of wearables does not give caregivers the ability to access real time information from the

concerned patient. It has been noticed the data obtained are not accurate and are more prone to errors that increases the system cost and

tends to be inconvenient to the user. The wearables present now are significantly used as fitness gadgets and are not advanced enough to monitor the health on

a continuous basis and are not capable of detecting diseases.

International Journal of Innovative Research in Information Security (IJIRIS) ISSN: 2349-7009(P) Issue 05, Volume 04 (May 2017) SPECIAL ISSUE www.ijiris.com ISSN: 2349-7017(O)

______________________________________________________________________________________________________ IJIRIS: Impact Factor Value – SJIF: Innospace, Morocco (2016): 4.346

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III. PROPOSED SYSTEM

Fig. 4 Architecture diagram for smart hospital.

It is divided into four phases namely: WDA (wearable device access), application hosting device, the cloud server and the hospital database. The WDA is connected to application hosting devices through WBAN interface. The sensored data is sent to the cloud server via WAN interface which is in turn transferred to the hospital database again through WAN interface. Wireless body area network is a network of wearable computing devices which is embedded into the fabric. A number of intelligent sensors can be integrated into WBAN which can be used for early detection of medical conditions. WBAN consists of various heterogeneous biological sensors which are embedded into the clothing that measures changes on vital signs. The main applications of WBAN include telemedicine and remote patient monitoring, rehabilitation and therapy, biofeedback, and ambient assisted living. The concerned doctor monitors the vital data and sends a message with data to the cloud server. The information from the cloud server is transmitted to the application device through which the end user can be informed about his health. The cloud uses networks of huge groups of servers typically running low cost consumer PC technology with specialized connections to spread data processing chores across them. Cloud computing and storage solutions endow users and enterprises with potential to store and process their data in either privately owned, or third party data counters. It relies on sharing of resources. A typical BAN or BSN needs vital sign monitoring sensors, motion detectors (through accelerometers) to help make out the location of the monitored person and some form of contact, to transmit vital sign.

3.1 GLUCOSE LEVEL SENSING Blood glucose monitoring reveals individual patterns of glucose change and helps in activities and medication of a person. In this case sensors in the smart fabric are linked to healthcare providers. Devices such as blood glucose collector, mobile phone or a computer is used for the transmission of collected somatic data on the blood glucose level. 3.2 ELECTROCARDIOGRAM MONITORING ECG measures simple heart rate and also diagnosis of multifaceted arrhythmias, myocardial ischemia and prolonged QT intervals. The system discussed in this paper detect abnormal data such as cardiac function and identifies it on real basis. 3.3 BODY TEMPERATURE MONITORING Body temperature monitoring is an essential for healthcare services as it is one of the important vital signs. Body temperature sensor is embedded into the fabric and attained body temperature variation is presented. The system components responsible for temperature recording and transmission are RFID module. 3.4 BLOOD PRESSURE MONITORING The BP sensor embedded in the fabric measures oscillometric and automatic inflation level. The BP level recorded is transmitted through the RFID and module for BP monitoring.

IV. REAL TIME SCENARIO

A man has recently been diagnosed with myocardial infarction (cardiac arrest) and he is at risk of getting a heart attack again. This means, in addition to prescribing drugs and lifestyle changes the doctor needs to constantly monitor the patient's heart rate and other physiological factors. The patient is required to wear the smart fabric. Currently, smart textiles are made primarily of metallic or optical fibers. The comfort ability and performance is improved by combining two fibers, one natural and one created by nanotechnology. The smart fabric contains sensors to sense and monitor the vital signs. Combining sensor monitoring with RFID allows for surveillance and collecting significant data. RFID tags are constantly transferring information out at regular period of time. The sensor data is then collected on the application portal of the smart phone of the user. The sensor data at this stage is the primary data. Depending on the criteria specified by the hospital the primary data is then processed to aggregated data to form the relevant information. For instance, if the heart rate of the person tends to beat too rapidly or too slowly or irregularly, that particular data is processed for further transmission.

International Journal of Innovative Research in Information Security (IJIRIS) ISSN: 2349-7009(P) Issue 05, Volume 04 (May 2017) SPECIAL ISSUE www.ijiris.com ISSN: 2349-7017(O)

______________________________________________________________________________________________________ IJIRIS: Impact Factor Value – SJIF: Innospace, Morocco (2016): 4.346

ISRAJIF (2016): 3.318 & Indexcopernicus ICV (2015):73.48 © 2014- 17, IJIRAE- All Rights Reserved Page -52

The aggregated information is then send to the hospital cloud server. Hence the data is stored on remote servers that can be accessed at any time by the concerned doctor. The records are then further monitored. After the hospital studies the physiological factors it sends responses to the end user telling them about the current situation of their health and if anything is to worry about. If the person is actually getting a heart attack then the sensor data that is received by the hospital server would be highly abnormal. So to handle the situation and to reduce the damage the hospital send alerts to the emergency care unit telling them to reach the patient soon as possible in addition to their family. This way the proper action is taken at the right time.

V. CONCLUSION IOT with intelligent medical sensors will improve the quality of life significantly and prevent the occurrence of health problems. Managing smart health care systems is a tedious task that requires a competent management system architecture, which combines common standards to secure interoperability between different systems. The objective is to describe the smart health care management system architecture components, and the connection between them, to guarantee that organizational operations were economical and precise, and to maintain appropriate inventory. The smart healthcare provides connectivity of healthcare solutions that makes monitoring real time thus significantly reducing cut down on hospital pays. The diseases are treated before they get out of hand. The architecture handles different smart healthcare contexts that a patient might come across. We can also implement the entity that would take care of the management process to take some burden off the hospitals that should focus on the healthcare issues.IOT based technologies can form an organization to support operational remote consultation in wide-range rehabilitation.

REFERENCES [1] D. Evans, 'The internet of things: how the next evolution of the internet is changing everything," April, 20 II. [2] K. Ashton, "That 'Internet of Things' Thing," RFiD J., p. 4986, 2009. [3] Z. Sheng, S. Yang, Y. Yu, A. Vasilakos, J. McCann, and K. Leung, "A survey on the IETF protocol suite for the internet

of things: Standards, challenges, and opportunities," IEEE Wire I. Commun., vol. 20, no. 6, pp. 91-98,2013. [4] AI-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, "Internet of Things: A survey on enabling

technologies, protocols, and applications," IEEE Commun. Surv. Tutorials, vol. 17, no. 4, pp. 2347-2376,2015. [5] S. Li, L. Da Xu, and S. Zhao, "The internet of things: a survey," inj Syst. Front., vol. 17, no. 2, pp. 243-259, 2015. [6] J. a. Stankovic, "Research directions for the internet of things," iEEE internet Things J., vol. 1, no. 1, pp. 3-9,2014. [7] Manyika, M. Chui, J. Bughin, R. Dobbs, P. Bisson, and Marrs, "Disruptive technologies: Advances that will transform

life, business, and the global economy," McKinsey Glob. Insitute, May, p. 163,2013. [8] 1. Jara, M. a Zamora-Izquierdo, and a F. Skarmeta, "Interconnection Framework for mHealth and Remote Monitoring

Based on the Internet of Things," ieee J. Sel. Areas Commun., vol. 31, no. 9, pp. 47-65, 2013. [9] S. M. R. Islam, D. Kwak, H. Kabir, M. Hossain, and K.-S. Kwak, "The Internet of Things for Health Care : A

Comprehensive Survey," Access, iEEE, vol. 3, pp. 678 - 708, 2015. [10] M. Rahmani, N. K. Thanigaivelan, T. N. Gia, J. Granados, B. Negash, P. Liljeberg, and H. Tenhunen, "Smart e-Health

Gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems," 20i5 12th Annu. iEEE Consum. Commun. Netw. Conj CCNC 2015,pp. 826-834,2015.

[11] Z. Sheng, H. Wang, C. Yin, X. Hu, S. Yang, and V. Leung, "Lightweight Management of Resource Constrained Sensor Devices in Internet-of-Things," IEEE Internet of Things J., vol. 2, no. 5, pp. 402- 411,2015.Clemm, Network Management Fundamentals. Cisco Press, 2007.

[12] H. A. Khattak, M. Ruta, E. Eugenio, and D. Sciascio, "CoAP-based health care sensor networks: A survey," Proc. 2014 11th Int. Bhurban Colif. Appl. Sci. Technol. IBCAST 2014, pp. 499-503, 2014.

[13] U. Varshney, "Pervasive healthcare and wireless health monitoring," Mob. Networks Appl., vol. 12, no. 2-3, pp. 113-127,2007.

[14] K. F. Navarro and E. Lawrence, "WSN applications in personal health care monitoring systems: A heterogeneous framework," 2nd int. Conj eHealth, Telemedicine, Soc. Med. eTELEMED 2010, incl. MLMB 2010; BUSMMed 2010, pp. 77-83,2010.