Optimal Filter Length to Identify Uninterpretable Electrocardiograms

Published: Nov 24, 2020
Abstract
The ubiquity of wearable health monitors has drastically improved the quality of life for end-users whose wellbeing relies on continuous monitoring. The main challenge with telemedicine services lies in the quality of the data that the system receives from the user. Therefore, it is paramount that the telehealth processing system has a way to check and identify corrupted data so that it can be corrected or excluded from further processing. The...
Paper Details
Title
Optimal Filter Length to Identify Uninterpretable Electrocardiograms
Published Date
Nov 24, 2020
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