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Welcome to Smart Health Care the current status of project includes mainly two sets One includes measuring the ECG via BLE sensors and other includes Measuring Calories burned. ECG collects first survey regarding patent

and then launches the ble connection activity which selects the ecg sensor device to be conneced

finally a live plot of ecg is shown here (though actual plot is not shown it works :p you can trust me! Finally the Caloriemeter collects the Callories burned and shows a live plotting same as ECG plot (told you plotting works 💯 ) ##Future vision vision of the project includes also implementing a push up message seystem which will collects the This class has not yet been completed as I was still in a dillema about it's effect on UX it was ntroduced with a vision to give user a pop message daily at night two check some check boxes regarding a very rough approximatte of food he has taken through out the day so tha t we can get an approximate idea about the Calorie intake and tah can be compared with the Calories burned via Caloriemeter section and can be compared to get approximate idea about user's lifestyle and get more idea about his chances of some cardiatic diseases. And also notifying the user about his habbit and showing a vizualisation of his calories intake vs calories burned. also predic chances of being fat etc. the server uses bios.py to find sing bios.py find the R-R interval and if differnce between subsequent R-R intereval is more than a threshold it then gives a message to user's doctor and registered relatives that person has cances of having arythmia. I view of adding Machine learning based analysis too presently we use a fuzzy MAtrix for risk prediction that's integrated in the app but not implemented . we also have a vision of launching the ECG check as soon as person falls