ECG analysis in the cloud allows for remote monitoring of patients' heartbeats without visiting the hospital. Sensors attached to patients measure their ECG and transmit the data via Bluetooth to mobile devices and the cloud for analysis. This analysis is done as a cloud service across infrastructure, platform, and software layers. The cloud provides elastic resources and near real-time analysis, allowing doctors to monitor more patients without large local computing infrastructures.

1. ECG ANALYSIS IN THE
CLOUD
A
Presentation
By
(Gaurav Jain)
(Asst.Professor,MCA)

2. ECG ANALYSIS IN THE
CLOUD
Scientific Applications
Now the cloud computing is getting involved in the scientific
applications.
Because of this the resources and storage are got available
infinitely at reasonable prices.
Cloud Scientific
computing
High
Performance
computing
High
Throughput
computing

3. ECG ANALYSIS IN THE CLOUD
Scientific Applications
High Performance Computing Here this term represents that
the computing with a high performance.
High performance in terms of resource availability ,quality of
service, monitoring of service etc.
High Throughput ComputingIt means the users- requests
will get processed within a span of time which is already decided
by the cloud service providers.
High Performance
computing
Resource
Availability
Quality of
service
Monitoring of
service

4. ECG ANALYSIS IN THE CLOUD
 Healthcare: Ecg Analysis in cloud computing
 Healthcare is a field or domain or area or a region where the
information technology has found many of the applications.
 These applications are getting involved to help business firms in
assisting the scientists to develop solutions to prevent the diseases.
 Due to the invention of internet or we can say due to the availability
of internet cloud computing has came into the picture and represent
itself as a attractive option for developing health monitoring system.
 Example of health monitoring system is ECG machine which is used
to measure the Heart-Beat of Human body and the output is get
printed on the graph paper.
 The full form of ECG is ElectroCardiogram.

5. ECG ANALYSIS IN THE CLOUD
Healthcare: Ecg Analysis in cloud computing
ECG is the electrical activity of the heart cardium.
Due to this activity an waveform is produced a specific
waveform that is repeated overtime and that represents the
heartbeat.

6. ECG ANALYSIS IN THE CLOUD
 The analysis of the shape is used to identify
arrhythmias, and it is the most common way of
detecting the heart diseases.(see the fig of previous
slide).
 Here the meaning of arrhythmias means “not having
a steady rhythm”, “an arrhythmic heartbeat” means a
heart beat which is not in it’s rhythm.
 Now we will let this concept enter into the cloud
computing.

7. ECG ANALYSIS IN THE CLOUD
 Cloud computing technologies allows the remote
monitoring of a patient’s heart beat data.
 Through this way the patient at risk can be constantly
monitored without going to the hospital for ECG
analysis.
 At the same time the Doctor’s can instantly be notified
with cases that need’s their attention.

8. ECG ANALYSIS IN THE
CLOUD
user requests
user
Embedded
Bluetooth enabled
data
communication &
processor module
ECG SENSOR
ECG sensor module
Blue tooth
Connectivity
User
request
Wireless/mobile
3g network
SAAS(ECG data analysis as a
service)
PAAS
Dynamic
scalable
runtime
Security
runtime
IAAS(Infrastructure as a
service)
USERS

9. CLOUD
 Here in this fig there are different types of computing
devices equipped with ECG sensors to constantly
monitor the patient’s heart beat.
 The respective information is transmitted to the
patient’s mobile device that will immediately
forwarded to the cloud- hosted web services for
analysis.
 The entire web services from the front end of a
platform that is completely hosted in the cloud that
consist of three layers:Saas,Paas,Iaas.

10. ECG ANALYSIS IN THE CLOUD
 ADVANTAGES In this concept the cloud computing
introduces opportunities that would be otherwise
hardly achievable.
 The first advantage is elasticity of the cloud
infrastructure that can minimize and maximize
according to the requests served.
 Second advantage is that cloud computing technologies
are now become easily accessible and also it promises
to deliver the services with minimum time.
 As a result the doctor’s has no need to invest in large
computing infrastructures.