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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 9, September 2014)

736

Telemonitoring in Healthcare System Using Sensor Nodes.

Gayatri Pawar

1

, Shradha Pawar

2

, prof. Vivek Patil

3

Sandip Institute of Technology and Research Centre, Nashik, Maharashtra, 422213, India

Abstract— Wireless medium is widely used application in

numerous field and so it is also applicable to medical and healthcare systems in wide proportions. Telemonitoring thus provides the collection of critical information to its required destination in various fields such as medical ,military etc. This paper represents a day-to-day application in medical fields using most acceptable based android system using smart-phones and sensor nodes.

Thus, making a medical systems more convinient and reachable facility to everyone in domain of body area network. It shows most efficient and simple system which has real-time applications with no interruptions in daily activities and providing health security to greater extent.

Keywords— Telemonitoring, Body sensor network (BSN),

Healthcare, Wireless sensor network, ECG (electrocardiogram).

I. INTRODUCTION

Wireless communication has overcome the wired medium due to its portability and accuracy. It provides the best results in large scale systems as well as small scale platforms in each field by taking into considerations its other parameters such as its cost, efficiency ,functionality to be maintained and affordable . As wireless medium has been covered now in each possible field such medical healthcare assessment, security platform, environmental and agriculture activities, automation and aeronauti systems and also over military basis, we consider its applicability mainly healthcare systems[6]. Sensor nodes provides the efficient functionality and application in healthcare systems to provide the qualitative healthcare services to enhance the patients security related to its treatments[3]. A person with wireless sensor nodes will be efficiently able to spend his life with performing daily activities under continuous healthcare monitor system so as to be careful about their selves without having extra efforts for it and taking out special time. Wireless sensor network thus make patient to be presentable itself to its healthcare not physically but logically to be under their diagonosis each time. Even there is possibility of merging the patients personal data with each other. Thus, to avoid this the session handling is been done with mobility[8]. Wired medium makes hectic job for a person to carry it everytime to be under survilliance of physician.

Thus, wireless sensor network also provide a alert system in case of necessity emergency prescription or advice to the patient according to its need at anywhere anytime[20]. This provides a secured assurance to the patient of its life. So as being under coverage of medical system. Thus, body area network using telemonitoring also provides a very beneficial application mostly to elderly people[5][8]. Many application have been increased in wireless network. This Paper provides a android application using sensor nodes in telemonitoring systems of patient using most acceptable technology the smartphones which is now easily available with common-people[12]

II. LITERATURE SURVEY

Telemonitoring System has grown rapidly and the middle-ware system has found solutions to the problems faced by people leaving in remote areas. Three applications were developed, based on BSN[1] using the wireless sensor nodes. They characterized the working based on energy consumption, that were needed by smartphone and the time

required for processing under the realworl

circumstances[1]. The telemonitoring system is based on the ICT[2],based on the wireless communication among the sensor nodes using remote server and station. This is applied using intelligent mobile device such as PDA or smartphone to monitor the patient in healthcare system[2]. The WBAN are very useful for continuously monitoring the health conditions of the patient. The technology of MEMS i.e micro electro magnetic system can be used to developed the various application in BSN[3]. The overall

description of medical application developed in

Netherlands and Australia is discussed and explained[4]. In this, alarms and biosignals are transmitted in Wireless communication link to a remote location via the web

application.[4] Telemonitoring system used for

independently living Elderly people for their needs and requirement.[5].Many vital parameter are continuously monitored and analysed using the application[5].

III. PROPOSED WORK

FIG 1. SHOW THE COMMUNICATION BETWEEN THE PATIENT

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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 9, September 2014)

737

Doctor in Telemonitoring in healthcare system by using sensors nodes. In this block diagram we describe the scenario of the project[1][7]. In this we can show the communication between the patient and doctor by using the android application. Here we use the combination of body area network and the android based smart phone which offer more functionality. This is the first step for telemonitoring system for continuously monitoring the patient at their home[18].

IV. ARCHITECTURE

1] BODY AREA NETWORK: 2] CENTRAL CONTROL UNIT: 3] CONTROL MONITORING UNIT: 4] BLUETOOTH OR WI-FI:

5] ANDROID: 6] ALERT SYSTEM:

7] BODY SENSORS PLATFORM:

1. Body Area Network:

Body area network is also called as wireless body area network(WBAN) or body sensors network(BSN). This is a wearable computing device. Body sensors network system are capable of continuously monitoring patients, at home for their physical state or health. Body area network(BAN) device can be placed in to the human body in some fix position. In this, the sensor nodes are connected to the central unit or node of control(NC) which perform the primary data processing and data analysis in this system. The sensors like Nonin 4100 pulse oximeter and GPS receiver having the Bluetooth interface which is used to measure the parameter such as heart rate and the saturation of peripheral oxygen and GPS which is used in emergency to locate patient in case of detecting the alaram condition. The primary data processing which includes the physiological information or patient’s details such as Heart rate, BP, Suger, Temperature etc.

In this, Bluetooth or wi-fi is communication protocol for data processing is used between the sensor node and the smart phone.

2. Central Control Unit:

In this we can use two smart phones, one for the patient side and another is for doctor side (figure 1). Patient side android application is a secondary data processing . The output of the sensors is in the form of patient details or information are shown in the patient smart phone. Here the

signal conditioning and analysis is done. The

communication between the NC and CCU is done by using the HTTP protocol. In this we can use the JSON (java script object notation)parsing algorithm because this include the concept of HTTP protocol, handshaking, acknowledgement, pairing, port assigning and socket programming. In this we can use both web server and application server. Database management System(DBMS) which is supplies by the sequential query language(SQL) is used.

3. Control Monitoring Unit:

The next communication is between the android and the central control unit that is, the medical server which allow to secure local and remote access used in medical field using internet. This is the most important data processing. All patients details are stored in the database on the web server by using the HTTP Protocol at the doctor side. Doctor obtains the patient details in the form of web page and analyzes it, and then provides the prescription to the patient. In the emergency cases alert system is used at the doctor side. That is, if there is an emergency then the doctor will get an message alert on his smart phone.

4. Bluetooth Or Wi-Fi:

In this, Bluetooth or wi-fi is used as communicating protocol for the data processing over the short distance. It provides 3mbps data rate over the distance of 20 meter.

5. Android:

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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 9, September 2014)

738

6. Alert System:

In this we use the healthcare alert management system (HAMS) that is SMS alert system. Alert system is very important from the patient’s point of view. It is used to handle the emergency and critical situation of patients. In this a particular range is set for various values of the different parameters, whenever the sensor readings go above that set value then it said to be the emergency case and In this emergency situation doctor initiates the alert system. The alert system may be automatic, so that the proper medical care should be provided to the patient.

7. Body Sensors Platform:

In this, we can use different sensors such as ECG sensors, Temperature sensors, BP calculating sensors, Nonin 4100 oximeter etc. all sensors are used for collecting the patients details regarding the health problem. This data or information are transmitted to the android smart phone by using the Bluetooth or wi-fi that is the output of the sensors is the input of the android application.

V. MATHEMATICAL THEORY

Project Title : Telemonitoring in Healthcare System by Using Sensor Nodes.

1)Problem Statement : Let ‘S’ be the Telemonitoring tool

which will calculate ECG,BP,SUGER,TEMPERATURE by using the sensor nodes.

S = {E,B,R,T,A,D,H,P}

Where,

E=ECG of patient; E = {E0 | ØE}

B=BP of patient; B = {B0 | ØB}

R =SUGER of patient; R = {R0 | ØR}

T=TEMPERATURE of patient;T = {T0 | ØT}

A=ALERT for doctors; A = {A0,A1,….,An | ØA}

D=DATABASE of patient; D = {D0 | ØD}

H= DOCTOR; H = {H0,H1,….,Hn | ØH}

P=PATIENT; P= {P0, P1,P2…Pn| ØP}

sr

no.

DISCRIPTION VAIN DIAGRAM

1 1) Patient-doctor relationship P->H

Let, FP be a rule of P in H Such that for every patient there is doctor.

FP (P)|->H

FP (P0, P1, P2, ….., Pn)->{H0} € H

3] Vain Diagram:

patient doctor

H1

H2

Hn P1

P2

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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 9, September 2014)

739

Sr no. DISCRIPTION VAIN DIAGRAM

2 3) doctor-database relationship H->D

Let, FH be a rule of H into D Such that for every doctor there is database.

FH (H)|->D

FH (P0, P1, P2,….., Pn)->{D0} €D

doctor database

4 STATE DIAGRAM

5 FUNCTIONAL DEPENDENCY S1 S2 S3 S4 S5 S6

S1 0 0 1 0 0 0

S2 0 0 0 1 1 0

S3 0 0 0 1 0 0

S4 0 0 0 1 1 1

S5 0 0 0 0 1 0

S6 1 0 0 0 0 1

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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 9, September 2014)

740

VI. SEQUENCE DIAGRAM

VII. CONCLUSION

The advancement in healthcare system is increasing and using the body area network in healthcare system in medical application is shearing a revolutionary change in the same. The use of the body sensors network also have several challenges to the developers however the increasing variety of data format and various protocol and communication media hinders them in smooth application development. Todays applications are mostly developed using embedded system that basically operate on batteries which add an additional challenge and limitation of re- sources. Thus we have proposed an application based on the body area network which monitor the patients health which is based on the android system and focuses on the wireless sensor data. The mobility issues are solved which again resolved the session handling problems. Thus the telemonitoring in healthcare system is a fruitfully application which can be used by various people and can be change the remote healthcare system.

Acknowlegement

We would like to thank our guide Prof. Amol Potgantwar and Prof. Vivek Patil for the guidance and help. We are very grateful for constant support and guidance extended by guide, for the completion of paper. We also thank to prof.Vijay Sonawane for their valuable comments.

REFERENCES

[1] Valerie Gay, Peter Leijdekkers, ”MyHealthAssistant: An Event-driven Middle-ware for Multiple Medical Applications on a Smartphone-mediated Body Sensor Network”, 2013 IEEE.

[2] Chen Chen,Alois Knoll,Alexander Horsch,A Review of Three Layer Wireless Body Sensor Network System In Healthcare For Continuous Monitoring,3Aug 2013

[3] Pervez Khan, Md.Asdaque Hussain, Kyung Sup Kwak Medical Applications of Wireless Body Area Networks,3 Sept 2009. Val jones ,Valerie Gay,Peter Leijdekkers,Body Sensor Network For Mobile Health Monitoring Experience in Europe and Australia.,2007 [4] Sander Bakkes,Richard Morsch,Ben Krose Telemonitoring For Independently Living Elderly:Inventory of Needs and Requerments,2011

[5] By JeongGil Ko, Chenyang Lu, Mani B. Srivastava, John A.Stankovic,”Wireless Sensor Networks for Healthcare”,11, November 2010.

[6] M. J. Morn, A. Gmez-Jaime, J. R. Luque, E. Casilari, J.A. Gzquez,”Analysis of a Telemonitoring System based on a Bluetooth Body Area Network using Smartphones”,ISBN: 978-1-61804-034-3,2013

[7] C LIODHNA N I S CANAILL ,S HEILA C AREW ,P IERRE B ARRALON”,A Review of Approaches to Mobility Telemonitoring of the Elderly in Their Living Environment”,21 March 2006. [8] D. Mahesh Kumar, ”Healthcare Monitoring System Using Wireless

sensor Net- work”, June 15, 2012,ISSN : 0975-0290 pp. 296-315,2002.

[9] A. Wood, L. Selavo, and J. Stankovic, BSenQ:,”Medical Applications of Wireless Body Area Networks”-2011

[10] Luka Celi, ”Energy efficiency in wireless sensor networks for healthcare”2011

[11] M. J. Morn, A. Gmez-Jaime, J. R. Luque, E. Casilari, J.A.Gzquez,”Analysis of a Telemonitoring System based on a Bluetooth Body Area Network using Smartphones”, ISBN: 978-1-61804-034-,.2009

[12] Marco Altini, Julien Penders, Herman Roebbers An Android Based Body Area Network Gateway for Mobile Health Applicaions,2012 [13] Baviskar Rahul Nandkishor, 2Aprna Shinde Android Smaetphone

Based Body Area Network For The Evaluation Of Medical Parameters In Real Time9 march 2014.

[14] Jana Puchyova, Michal Kochlan, Michal Hodon, Development of Special Smartphone-Based Body[15] Jana Puchyova, Michal Kochlan, Michal Hodon, Development of Special Smartphone Based Body Area Network: Energy Requirements,ISBN 978-1-4673-4471-5 2013, IEEE.

[15] Vinh T. Bui, Richard Verhoeven, and Johan J. Lukkien, A Body Sensor Platform for Concurrent Applications,2009

[16] Matthias Wagner, Benjamin Kuch, Carlos Cabrera, Peter Enoksson, Arne Sieber, Android Based Body Area Network for the Evaluation ofMedical Parameters,2012.

[17] Patrick Crilly1, Vallipuram Muthukkumarasamy, Using Smart Phones and Body Sensors to Deliver Pervasive Mobile Person alHealthcare,2013

[18] Mandeep Singh, Neelu Jain, A Survey on Integrated Wireless Healthcare Framework for Continuous Physiological Monitoring,13, January 2014

References

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