ECG Monitoring
HackCewit
Our Process
Download the .dat files for each of the seven patients in the MIT-BIH Long Term ECG Database
Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
Import .dat files into MATLAB and run a code to read the ECG data, plot it into a figure, and convert the data into a .csv file
Format the files and run ML code to train ECG model to classify heartbeats as normal or irregular
Store data inside of database and send results to email of participant.
The data will be stored for it to later be looked at by a doctor to check the ECG reading.
Have a website to manage real time appointments