Personalized Detection of Motion Artifacts for Telemonitoring Applications
Noemi Giordano,
Samanta Rosati,
Daniele Fortunato
et al.
Abstract:Among its main benefits, telemonitoring enables personalized management of chronic diseases by means of biomarkers extracted from signals. In these applications, a thorough quality assessment is required to ensure the reliability of the monitored parameters. Motion artifacts are a common problem in recordings with wearable devices. In this work, we propose a fully automated and personalized method to detect motion artifacts in multimodal recordings devoted to the monitoring of the Cardiac Time Intervals (CTIs)… Show more
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