Real-Time Extraction and Analysis of Key Morphological Features in the Electrocardiogram, for Data Compression and Clinical Decision Support
Massive amounts of clinical data can now be collected by stand-alone or wearable monitors over extended periods of time. One key challenge is to convert the volumes of raw data into clinically relevant and actionable information, ideally in real-time. This becomes imperative especially in the domai...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
American Association for Artificial Intelligence
2013
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| Online Access: | http://hdl.handle.net/1721.1/79056 https://orcid.org/0000-0002-5930-7694 https://orcid.org/0000-0002-2446-1499 |