Ecg analysis in the cloud

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As per the syllabus of rgpv bhopal for be and mca

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Ecg analysis in the cloud

  1. 1. ECG ANALYSIS IN THE CLOUD A Presentation By (Gaurav Jain) (Asst.Professor,MCA)
  2. 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. 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. 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. 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. 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. 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. 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. 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. 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.

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