Maternal And Infant Health Care Predictive system

An iot based device use vital sign sensor to collect maternal patient data and send the data through gps or wifi module. On the other hand receive that data on other device (it can be laptop or raspberry pi). Then used that data as test data to in our trained model (we are collecting data from diffe

Project Title

Maternal And Infant Health Care Predictive system

Project Area of Specialization

Artificial Intelligence

Project Summary

An iot based device use vital sign sensor to collect maternal patient data and send the data through gps or wifi module. On the other hand receive that data on other device (it can be laptop or raspberry pi). Then used that data as test data to in our trained model (we are collecting data from different hospitals for prediction). That model we be deploy on a mobile application develop using flutter.

Project Objectives

Maternal and infant health, to address the challenges of maternal health that causes high mortality that includes awareness and treatment, monitoring infant health issue growth of infant health issues not only growth and remedies using IOTs.

The intent of project is to support the provision of health care services to reduce the mortality rate of women and children, to timely address the maternity related issues by remote monitoring.

Applying Remote Health Monitoring in rural areas of Pakistan to deliver and assist with delivering the healthcare services can reduce or minimize challenges and burdens patients encounter, such as transportation issues related to travel for specialty care. 

Project Implementation Method

The idea is to make prediction of pregnant women’s health through Machine learning model to take patient’s data via IoT device which will consist of following sensors and devices:

Arduino Mega 2560, Heart Rate (MAX-30100), IR Temperature sensor, ECG (Ad 3282), WIFI (esp 8226), and use this real time data from sensors as test data. As far as concern of data for training our ML model, we will collect data manually. After Data collection is done, we'll use that Label data to train our model  and make decision, predict the condition of the patient on the basis of that data by using different Machine learning techniques. We'll Deploy our ML model on a Mobile application which is develop by using Flutter.

Benefits of the Project

The overall objective is to support the provision of health care services. The lack and delay of expert opinion and health services causes high mortality rate in infants and women. Therefore, it is required to develop a system that can provide digital health services to patients living in remote areas of Pakistan which are often difficult to reach. our project will help to reduce this problemn.

Technical Details of Final Deliverable

The final deliverable will be a mobile application which works on both windows and iOS platform .A wearable device will be installed on patient’s hand through which its sends live data.

The app will monitor that data and generates alerts on the bases of our machine learning model.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Medical

Other Industries

Health

Core Technology

Artificial Intelligence(AI)

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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