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Here are Cardiologs we have developed a FDA-cleared software to analyze Holter recordings.

Our algorithm uses deep neural networks to detect arrhythmia. The physician reviews and update manually our analysis before generating their final report.

This leads to an efficient analysis in a minimum of time. They can even analyze multiple-weeks recordings painlessly without spending hours on it.

https://cardiologs.com/


interesting, does it analyze 12 leads? is your data publicly available? is there any article detailing the DNN you developed? thanks.


Yes! Our algorithm can analyze 12-lead resting ECGs, and detect 76 different pathologies. Here is an article that has been published recently: https://www.sciencedirect.com/science/article/pii/S002207361...


CardioLogs | Paris, France | ONSITE | Full-time | Front-End Engineer

http://cardiologs.com/

ABOUT US

CardioLogs Technologies is a startup created in 2014 at the interface between Health and Big Data industries. We develop and commercialise medical diagnostic support tools to health professionals. Our mission is to build an artificial intelligence able to detect cardiovascular diseases on electrocardiograms, to facilitate the diagnosis of patients.

Our stack includes Ruby on Rails, AngularJS, D3, PostgreSQL, Docker, AWS, git.

POSITION

We are looking for a front-end engineer to work on the tools that will be used by doctors to diagnose their patients. These tools are web applications developed using JavaScript / AngularJS and D3.

For more info, contact me at romain@cardiologs.com.


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