IOT Based Heart attack Prediction wearable device For Human Live Saving

Recently, many people have become more concerned about having a sudden heart attack. With the increase in popularity of smart wearable devices, an opportunity to provide an Internet of Things (IoT) solution has become more available. Unfortunately, out of hospital survival rates are low for people s

Project Title

IOT Based Heart attack Prediction wearable device For Human Live Saving

Project Area of Specialization

Internet of Things

Project Summary

Recently, many people have become more concerned about having a sudden heart attack. With the increase in popularity of smart wearable devices, an opportunity to provide an Internet of Things (IoT) solution has become more available. Unfortunately, out of hospital survival rates are low for people suffering from sudden Heart attack. The objective of this project is to present a multisensory system using a smart IoT system that can collect Body Area Sensor (BAS) data to provide early warning of an impending heart attack. The goal is to design and develop an integrated smart IoT system with a low power communication module to discreetly collect heart rates and body temperatures using a smartphone without it impeding on everyday life. This project introduces the Iot  techniques for sensor data analytics to identify predict and/or sudden Heart attack with a high accuracy.

Project Objectives

• Our goal is to make a system that solves those research challenges that have not quite been resolved using integrated IoT systems. This health systems are good examples of problems that can be handled using IoT devices. When successful, such systems will eliminate the need for patients to go to hospitals on every occasion. This becomes more important for older people who need special health care and monitoring throughout many hours of the day Using ECG signals, along with other sensors, we can design a system that can predict heart attacks sooner. To accomplish this, we must study the human body’s action prior to the onset of a heart attack. Not only must we understand how the heart behaves, but also, we need to understand how other symptoms, such as body temperature, can indicate possible problems. By analyzing the data from the sensors, we can create an algorithm that can predict heart attacks.
• IoT devices can be used to enable remote health monitoring and emergency notification systems. Health monitoring devices can range from blood pressure and heart rate monitors to advanced devices capable of monitoring and analyzing data. Using a number of sensors and a microcontroller, we can design a device capable of preventing health related disasters. In particular, we used several hardware components such as a pulse sensor, a temperature sensor, an Arduino microcontroller. This hardware kit (IoT device) basically senses and transmits the sensed data to a computing device for analysis.

Furthermore, we use the relationship between an individual’s pulse rate and body temperature to design an algorithm that predicts heart attacks. This required a very good understanding of the human’s body behavior in both normal and abnormal states. The normal states are simpler and can be analyzed easily. For example, we all know that a normal body temperature ranges from 36 to 37 (degrees Celsius), so intuitively, any temperature out of that range would be abnormal. Similarly, a person’s heart rate in normal cases would range from 60 to 100 beats per minute. Any heart rate out of that scope is something that needs to be diagnosed properly and as soon as possible. Of course, humans have different heart rates in normal states which can vary for different age groups and different health conditions.

Project Implementation Method

There are many research projects that attempt to characterize a user’s heart abnormality; however, most of them have lack of key components. Many individuals currently perform research in eHealth and many companies have taken advantage of this work by designing systems that connect patients with doctors around the world. We examine two different categories of related systems: comprehensive health care using embedded systems and connected eHealth smartphone applications. Our proposed system is more related to connected eHealth smartphone applications since we are developing an application on smartphone that connects with a smart IoT device while most companies focus on comprehensive health care systems that allow users to interact with one another and benefit from resources

“PatientsLikeMe” focused on helping patients answer the question: “Given my status, what is the best outcome I can hope to achieve, and how do I get there?” They answered patient questions in several forms like having patients with similar conditions connect to each other and share their experiences. But, they did not mention data security and the usability of the system.

Another related system is called “DailyStrength”. It is a social network centered on support groups, where users provide one another with emotional support by discussing their struggles and successes with each other. The site contains online communities that deal with different medical conditions or life challenges. It is very similar to “PatientsLikeMe” in the sense that both of them are free platforms that involve patients and doctors interacting. Two major discrepancies between them are that “DailyStrength” does not involve research institutes and does not have a mobile application. Also, both systems are not IoT-based system.

Benefits of the Project

1) Decrease the death rate of due heart attack 

2) Save money and time 

Technical Details of Final Deliverable

We will deliver wearble device like a watch which predict heart attack and every age person can use easily.

Final Deliverable of the Project

Hardware System

Core Industry

Health

Other Industries

Medical

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com