Tele-medicine system

Present by
Mr. Dhandare Sanjay
(sem III,roll no.08)
Guided by
Dr. S. S. Sonavane
DR. D Y PATIL SCHOOL OF ENGINEERING
Department of E & TC Engg.
M.E.( VLSI & ESD )
A.Y.2015-16
10 February 2016 1ME(E&TC Engg.DYPSOE,LOHEGAON,PUNE

 AIM
 INTRODUCTION
 LITERATURE SURVEY
 PROBLEM DEFINITION
 OBJECTIVE
 METHODOLOGY USED
 APPLICATION
 ADVANTAGES
 CONCLUSION
 FUTURE SCOPE
 REFERENCES

 To provide an advanced healthcare system
especially for the people from poor and remote
area for improving community health care.

What is telemedicine ?
Telecommunication technology
+
Medicine

Title of paper Details of
publication
Description
Advanced patient
monitoring system design
base on WBAN and
telemedicine
technologies
Nicolas fashier et.
al. IEEE
Conference OCT
2015
The author Studied To create a reliable
surveillance system for elderly people and
developed WBAN.
Trigger learning and
ECG parameter
customization for remote
cardiac clinical care
information system
Mohamed Ezzldin
IEEE Transactions,
et.al. 2015
The author proposed to studies telehealth of
coronary heart disease.
Embedded DSP based
telehealth system for remote
area
Marco mercuri
IEEE conference
et.al.2013
The author describes the telehealth system
and enhance the quality-of-care for remote area

Title of project Details of
publication
Description
Remote Health
Monitoring of heart
failure
with data mining
Leonard Pecchai
IEEE Transactions
2012
The Author studied the disease Management
Programs (DMPs), which use
no advanced ICT, are as effective as
telemedicine.
Gaussian Processes for
Personalized e-Health
Monitoring With
Wearable Sensors
David Clifton IEEE
Transactions, et.al.
jan 2012
The Author told Advances in wearable
sensing and communications infrastructure
have allowed the widespread development of
prototype medical devices for patient
monitoring
A Framework for
Dynamic Integration
of Multimedia Medical
Data Into Distributed
m-Health Systems
Jinman Kim IEEE
Transactions, et.al
jan 2012
The author studied m-Health, is one of the
fastest growing areas of healthcare computing
As electronic health records become
commonplace, and the rapid uptake of
mobile and handheld devices puts powerful10 February 2016
6

Rural patients are unable to get specialty
services and there is a need to travel long
distances for proper treatment and also to
provide a variety of special services to the
patients who suffering from severe diseases.

 To improve service and quality of the health services.
 To improve productivity and efficiency in the health sector.
 When meeting above two aspects the security about privacy data
for the individual patient should be considered.
 Use the opportunities of IT to distribute information to the general
public and the health care professionals and to increase the level of
knowledge.
 To improve working conditions and personal planning for
healthcare professionals.

 Medical devices block
 Processing data unit
 Hospital unit
 System design and technical specification
 Mobile telemedicine platform
 Power source

 i/o devices
 Medical equipment
 Software requirement
 Communication manager
 Telemedicine unit
 Computer

10 February 2016 ME(E&TC Engg.DYPSOE,LOHEGAON,PUNE 12
The communication block consists of two
main parts, namely:
 Telemedicine Arbiter
 Communication manager

A personal computer is used as a processing data unit. The
selection of the computer depends on the application of the
Telemedicine Unit. Specification include,
 High speed
 Storage capability
 Effective handling of no of system

 The minimum hardware contains a PC or laptop, a digital
camera, power source, and medical devices. Based on the
most needed requirement, the medical devices included are:
 Blood Pressure
 ECG machine
 Temperature sensor

 The power requirements for computer, and other
medical devices are common, i.e. 220 volt, 50
Hz. In addition, a number of equipments must
be provided with appropriate batteries.
 I/O devices are
 Printer
 Digital camera

 Digital ECG
 Heart rate monitor
 Blood pressure checker

Digital ECG Specifications :
 Leads : standard 12 leads
 Freq. response : 0.5 – 125 Hz, or better
 Leakage current : < 10 Micro amps
 Input impedance : > 20 M Ohms

 Application software
 Device interfaces
 Interface to database/other applications


 Operating System : Under Windows Xp,7,8.
 Security software : Firewall, anti Virus, C/C++
based software
 Communication s/w : TCP/IP

 Patient can get experts' opinion without leaving familiar surroundings.
 Patient can save time and cost as well as avoid trauma of travel and
accommodation to meet the specialist.
 Patient can get opinions from more than one specialist.
 Telemedicine can be used to find latest method for treatment.
 In a remote area where there is no doctor available, Telemedicine is the
only solution.
 Telemedicine has been proved life saving.

 The telemedicine became a necessary in every
healthcare system and may improve the
healthcare system with great extend and can
be used as a application of telemedicine
infrastructure for rural community.

 For rural area where transportation is always a
problem.
 At the time of emergency.
 To get special treatment and to avoid effective
cost.
10 February 2016 23ME(E&TC Engg.DYPSOE,LOHEGAON,PUNE)

Updated software to avoid data loss.
Portability of the system.
Alternative option in case of emergency.

1. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a
survey,” Journal of Computer Networks, vol. 38, no. 4, pp. 393-422, March 2002.
2. J. Yick, B. Mukherjee, and D. Ghosal, “Wireless sensor network survey,” Journal of Computer
Networks, vol.52 no. 12, pp. 2292-2330, Aug. 2008.
3. Wang Embedded DSP-Based Telehealth Radar System 2015 ieee journal of biomedical and
health informatics, vol. 19, no. 1, january 2015
4. Mohamed Ezzeldin Trigger Learning and ECG Parameter Customization for Remote Cardiac
Clinical Care Information System ieee transactions on information technology in biomedicine,
vol. 16, no. 4, july 2012
5. Mohamed Ezzeldin A. Bashir, Dong Gyu Lee, Meijing Li, Jang-Whan Bae, Ho Sun Shon, Myung
Chan Cho,and Keun Ho Ryu,.
6. David a clifton gaussian processes for personalized e-health monitoring with wearable sensors
ieee transactions on biomedical engineering, vol. 60, no. 1, january 2013.

7. Pecchia L, Melillo P, Bracale M (2011) Remote Health Monitoring of heart failure with data mining
via CART method on HRV features, IEEE Transaction on Biomedical Engineering, 58(3):800-804.
8. Paolo Pecchai Monitoring of heart failure with data mining via CART method on IEEE Transaction
on Biomedical Engineering,2012.
9. Nicolas Advanced Patient Bedside Monitoring System Design Based on WBAN and Telemedicine
Technologies.
10. Nirwan ansari wireless technology advances and challenges for telemedicine ieee communications
magazine • april 2006.
11. Bernard Fog wireless technology advances and challenges for telemedicine ieee communications
magazine april 2008
12. Ajit abraham applying wearable solutions in dependent environments ieee transactions on
information technology in biomedicine, vol. 14, no. 6, november 2010.
13. Javier Bajo Applying Wearable Solutions in Dependent Environments,2011

10 February 2016
27
ME(E&TC Engg.DYPSOE,LOHEGAON,PUNE

Tele-medicine system

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