How We Used Machine Learning to Build an ECG Stress Classifier

  • TYPE: Keynote DATE: Thursday, November 28, 2019 TIME: 09:40-10:00 LOCATION: FORUM 12
Conference Agenda

As long as mankind exists, diseases are also a constant companion, stress often is a cause or at least a co-trigger. In the age of permanent connectivity and IoT, not only our phones and cars are getting smart. Also, the health sector is transforming a lot and gets more and more digital. People now have started to measure their vital systems with smart watches and chest straps and thereby produce plenty of data which can be analysed. This leads to complete new ways of diagnosing diseases and even their causes. Thus, I am going to show you how we used machine learning to implement a model capable of detecting stress in physiological data gathered with the use of a commodity chest strap. Beside that I am going to show you which infrastructure we used to ship the data from heart to cloud.


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Munich

Conference

AImpact Summit 2019

Language:
English
Registration fee:
€1200.00 $1500.00 S$1920.00 13200.00 kr
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Contact person:

Ms. Lauren Zuber
+49 211 23707725
lz@kuppingercole.com
  • Nov 27 - 28, 2019 Munich

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