VentMonitor

• 

  homepage

• 

  individual monitoring page

Inspiration

Increase efficiency and alertness of docters and nurses on the IC.

What it does

1. Provide an overview of the status of the patients for the docters and nurses
2. Observe the data of each ventilation system online.
3. Provide allerts to the docters and nurses if a situation changes.

How we built it

1. retrieve data from the API and store it in a storage
2. retrieve data from the storage and display it on an HTML with JS
3. create predictions for each patients that can then trigger alarms

Challenges we ran into

1. creating a website that is linked with other websites
2. simulation of data

Accomplishments that we're proud of

1. creating the webpages

What we learned

1. retrieve data from a datastorage and display it in an HTML file

What's next for VentMonitor

1. improve the prediction based on RNN/LSTM neural network
2. creating alerts on the overview HTML
3. creating buttons on the patient HMTL where the docter can decide which values he want to be alerted for, and which upper/lower bounds he wants to have for each patient

Built With

• html
• javascript
• keras
• python