Capstone Project Report, Smart Healthcare

DECLARATION

We hereby declare that the project work entitled (“Smart Health Care”) is an authentic record of our own work carried out as requirements of Capstone Project for the award of B.Tech degree in Computer Science & Engineering from Lovely Professional University, Phagwara, under the guidance of Ms. Shaina Gupta , during January to April 2016. All the information furnished in this capstone project report is based on our own intensive work and is genuine.

CERTIFICATE

This is to certify that the declaration statement made by this group of students is correct to the best of my knowledge and belief. They have completed this Capstone Project under my guidance and supervision. The present work is the result of their original investigation, effort and study. No part of the work has ever been submitted for any other degree at any University. The Capstone Project is fit for the submission and partial fulfillment of the conditions for the award of B.Tech degree in Computer Science & Engineering from Lovely Professional University, Phagwara.

Signature of the Mentor :

ACKNOWLEDGEMENT

We humbly take this opportunity to present our votes to thanks to all those guidepost who really acted as lightening pillars to enlighten our way throughout this has led to successful and satisfactory completion of this study.

We are really grateful to our mentor Ms. Shaina Gupta for providing us with an opportunity to undertake this project in this university and providing us with all the bright and innovative ideas for making our project a really worthwhile of running in an organization. We are highly thankful for his active support, valuable time and advice, whole hearted guidance, sincere cooperation and pains taking involvement during the study and in completing the capstone project within the time stipulated.

We are thankful to all those, particularly our friends, who have been instrumental in creating proper, healthy and conductive environment and including new and fresh innovative ideas for us during the project, without their help it would have been extremely difficult for us to prepare the project in a time bound framework.

Smart Health Care is idea of our project to calculates a person heart beat and temperature levels with the use of sensors and analysing the results to alert the doctor about patient condition via message. The existing systems under the category of non iot technologies like BPM meter , thermometer which we have to use man power to check the results of a person and there is no particular alert system to intimate doctor when doctor is in remote location. Each has its own unique pros and cons, which you’ll want to be aware of before settling on one over the other. Coming to bpm meter it will shows the patient heart beat and blood pressure values there it self. Not possible to check values when we are in remote location. Same for thermometer . But here in smart health care using sensors any person can view the values of patient through authorized access. The existing technologies are a lot complex to normal to use without any prior knowledge of them.

DFD for present system

Level 0 DFD

(Node MCU)

(Sensor Data)

(Sensor will gather the data from patient of heart beat and blood oxygen level)

(Transfer data from sensor data to computing device(Nodemcu) it will analyse information of patient)

(ThingSpeak)

(Thingspaek will store the data of patient and redirect to doctor when data needs)

Level 1 DFD

(Decision Making)

(Data Analysis)

(Data Aggregation)

(Sensing Functionality)

(Patient Condition)

(Abnormal)

(Normal)

(Intimating Doctor)

(Storing Data)

What’s new in the project

To talk about the system its an smart health care using sensors. Here we are try to make patient monitoring easier. Our concept is the fusion of Iot and medical . with the internet of things (IoT) allowing for massive instrumentation of the healthcare experience regardless of the location of the patient and the provider. With the use of machine learning and other deep analytics capabilities to increase the quality of care. As healthcare organizations begin to look into “smart” technologies, these two shifts provide opportunities never before seen in the industry.

At the same time, analytics capabilities involving extensive public, government and private datasets promise to provide a more complete view of the patient. The trend of recording especially personal health information has been steadily growing for several years with the notion of the Quantified Self. The current state of Smart Health Technologies is advanced but still in its relative infancy. Smart Health Technologies make both real time and historic health data available to the citizens and healthcare personnel.

Problem Analysis

Product Definition

New technologies have influenced many parts of our daily life. Today’s healthcare system has also recognized the advantages of using Information and Communication Technology (ICT) to improve the quality of healthcare, turning traditional into smart healthcare. Smart healthcare is defined by the technology that leads to better diagnostic tools, better treatment for patients, and devices that improve the quality of life for anyone and everyone. The key concept of smart health includes eHealth and mHealth services, electronic record management, smart home services and intelligent and connected medical devices.

One of the key concepts for improving today’s healthcare is eHealth, i.e. the usage of ICT in care. This is also how the World Health Organization defines the term: “eHealth is the use of information and communication technology (ICT) for health. Examples include treating patients, conducting research, educating the health workforce, tracking diseases and monitoring public health.”

The term mHealth is short for mobile health. This terms has been defined by the WHO as “a component of eHealth”. Since there is no standardized definition of mHealth, the Global Observatory of eHealth has determined mHealth as “medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants (PDAs), and other wireless devices.”

Here in our project we use mHealth to perform our operations. As mHealth means mobile health we use mobile widgets to check the patient heart beat and temperature values which we got from sensors attached to patient which are connected to nodemcu.

We can see the patient complete report in cloud server where the data is stored. Any one can access the server through an authorized access to check the patient reports and monitoring them from any remote location. And also when patient condition is critical we can get a message to phone number which we set for sending the alert notification.

Feasibility Analysis

This project is feasible to make as it is made using simple technologies and are easy to implement , it is easy to implement and yet the project is so effective that it covers all the objectives of project. Even a person who is not having any Iot and medical knowledge can able to setup the device to make the readings work and can analysis the data.

Project Plan