"Digital Health Monitoring Device also known as "Single Chair". The function of this project is to help the patients living in remote and rural areas to diagnose their ailments on early stage and cure them in less expense and on time to save human health in the absence of docto
DIGITAL HEALTH MONITORING DEVICE
"Digital Health Monitoring Device also known as "Single Chair". The function of this project is to help the patients living in remote and rural areas to diagnose their ailments on early stage and cure them in less expense and on time to save human health in the absence of doctor. Furthermore, the concept is applicable to patients of all ages i.e., from infants to senior citizens so as to subscribe the medicine, monitor and follow-up their various health issues. This project is significantly helpful in catering the main victims of the aforementioned hostile situation that is the females of remote areas. Nevertheless, they require female doctors/physicians to share their issues to get prescriptions and recommendations, which is unfortunately not possible in such areas.
The chair is embedded with all the Hardware and Sensors. Hardware and Sensor collects the required data and readings from the patient and through wifi module it uploads the data to the cloud and then all the data would be retrieved in the website. The website contain the required patient profile where all the data is stored. After complete check-up the patient is given the prescription of medicine according to their disease.
The objectives of the projects are:
First we implent the harware components and hardware details are given below:
Hardware Components:
The hardware used in this project are given below:-
Sensors:
The sensors used in this project are given below:-
Software Contributions:
IoT, Website, Database (ERP), Android Studio, Computer vision (Image Processing), Machine Learning, Data Science (k-means, SVM, Classification and Regression Trees), Tree-Based Prediction (Decision Tree), Neural Networks, Deep Learning, Python.
After implementing the hardware components on the chair. Hardware and Sensor collects the required data and readings from the patient and through wifi module it uploads the data to the cloud and then all the data would be retrieved in the website. The website contain the required patient profile where all the data is stored. After complete check-up the patient is given the prescription of medicine according to their disease.
The benifits of this project is to help the patients living in remote and rural areas to diagnose their ailments on early stage and cure them in less expense and on time to save human health in the absence of doctor. Furthermore, the concept is applicable to patients of all ages i.e., from infants to senior citizens so as to subscribe the medicine, monitor and follow-up their various health issues. This project is significantly helpful in catering the main victims of the aforementioned hostile situation that is the females of remote areas. Nevertheless, they require female doctors/physicians to share their issues to get prescriptions and recommendations, which is unfortunately not possible in such areas.
Technical details are given below:
Hardware Components:
The hardware used in this project are given below:-
Sensors:
The sensors used in this project are given below:-
Software Contributions:
IoT, Website, Database (ERP), Android Studio, Computer vision (Image Processing), Machine Learning, Data Science (k-means, SVM, Classification and Regression Trees), Tree-Based Prediction (Decision Tree), Neural Networks, Deep Learning, Python.
Hardware and Sensor collects the required data and readings from the patient and through wifi module it uploads the data to the cloud and then all the data would be retrieved in the website. The website contain the required patient profile where all the data is stored. After complete check-up the patient is given the prescription of medicine according to their disease.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| All Hardware | Equipment | 1 | 70000 | 70000 |
| Total in (Rs) | 70000 |
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