Prediction of human pulse rate on the basis of pulse video

Human life is very important. Every year societies spend billions of dollar on human health. In medical field millions of people working day and night for saving the life of human at any cost. In the age of artificial intelligent scientist want to make the life support systems through artificial int

Project Title

Prediction of human pulse rate on the basis of pulse video

Project Area of Specialization

Artificial Intelligence

Project Summary

Human life is very important. Every year societies spend billions of dollar on human health. In medical field millions of people working day and night for saving the life of human at any cost. In the age of artificial intelligent scientist want to make the life support systems through artificial intelligence techniques. We observe that doctors predict the disease of patient on the basis of his pulse rate. If the pulse rate detection done then many disease can predict easily like fever, Flo etc. We want to Predict the pulse rate of human(Patient). For this prediction we use the pulse video of the human. By using image processing techniques on this pulse video of human we want to predict that this human is alive or not. In the field of Artificial Intelligence we use the bio devices on the human body. On the basis of these devices we perform lot of work like, we use bio metric attendance from thumb, NADRA use thumb for identification, Aviation perform security task by using eye vision, Security agencies done investigation by using these devices. This all work done by Artificial intelligence image processing algorithm. In the field of Image processing collect image or video. On the basis of these image apply different algorithm and predict different information. There are lot of work in this field like face recognition, hand writing recognition and text recognition and voice recognition. These all recognition related to human pictures or videos in our proposed we want to use these presented technologies and algorithm to proposed the human pulse rate on the basis of pulse video. First We collect the video,then in the pre processing step we remove the unrelated things from the video. Then we magnify the video as possible. Magnifying is important step in our algorithm. On the basis of magnifying result we then apply reprocessing fro removing unrelated data. On the clear image which we collect from previous step then we apply the image processing algorithm by using python programming language.

Project Objectives

Image processing achieves highly accurate and reliable detection of pulse rate.  Image processing offers a non-invasive approach to detecting pulse rate.  We facilitate the patient at any level and any environment.  We want to provide the cheapest system for life saving problem. We want to Predict the pulse rate of human(Patient). For this prediction we use the pulse video of the human. By using image processing techniques on this pulse video of human we want to predict that this human is alive or not.

Project Implementation Method

We take the training data, Validation data and testing data. First we train our model on the basis of training data, then predict and validate our model. If the prediction is true as validation data, then our proposed model working truly otherwise need to improvement in the model. Our Experimental study shows that how different algorithm of image processing behave in the prediction of pulse rate.

Benefits of the Project

It is a non-invasive system to localize the pulse fatigue.  It is a system which exclude the specialist doctor necessity. Reduction of medical instrument not a problem.  Accuracy improve with this proposed system. Human error can reduce by using this sytem

Technical Details of Final Deliverable

We take the training data, Validation data and testing data. First we train our model on the basis of training data, then predict and validate our model. If the prediction is true as validation data, then our proposed model working truly otherwise need to improvement in the model. Our Experimental study shows that how different algorithm of image processing behave in the prediction of pulse rate.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Medical

Core Technology

Artificial Intelligence(AI)

Other Technologies

Big Data

Sustainable Development Goals

Good Health and Well-Being for People, Industry, Innovation and Infrastructure

Required Resources

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