Cardio is a full form of Collaborative Assessment of Research Data Infrastructure and Objectives. It is a bench marking tool for data management strategy development.


  • Optional Manual Entry allows users to choose the type of their credit cards by providing lick interface for manual card entry.
  • It does not store credit card information is stored or transmitted.
  • It is free SDK's free for both Android and iOS.
  • Collaboratively assess data management requirements.
  • Build consensus among information managers, and service providers.
  • Identify goals for improvement in data management provision and support.

Can Kardia detect heart attack?

Both tests were intended to diagnose the type of heart attack. A STEMI is a heart attack caused by the blockage of one of the heart's arteries. Using the app couldspeed up treatment of the chest pain. ... AliveCor's app Kardia, available on the App Store, is available now for mobile ECGs.

This article introduces a framework that allows to build end-to-end machine learning models for deep research of electrocardiograms and provides ready-to-use methods for heart diseases detection. You will learn

what electrocardiogram (ECG) shows

what you can do with CardIO

why CardIO is so fast

how to do research with CardIO.

CardIO framework overview

  • CardIO is an open-source Python framework. With CardIO you can calculate heart beat rate and find other standard ECG characteristics.
  • Recognize heart diseases from ECG.
  • Efficiently work with large datasets that do not even fit into memory.
  • Easily arrange new custom actions into pipelines.
  • Do end-to-end ECG processing.
  • Build, train and test custom models for deep research.
  • Conceptually CardIO is based on a very simple and natural approach.
  • Input dataset can be indefinitely large, so we split it into batches and process data batch by batch.
  • Describe workflow as a sequence of actions (e.g. load data —data preprocessing — train model).
  • Run the workflow once for the whole dataset.