Detection and Analysis of Heartbeats in Seismocardiogram Signals

Detection and Analysis of Heartbeats in Seismocardiogram Signals

This paper presents an unsupervised methodology to analyze SeismoCardioGram (SCG) signals. Starting from raw accelerometric data, heartbeat complexes are extracted and annotated, using a two-step procedure. An unsupervised calibration procedure is added to better adapt to different user patterns. Re...

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Bibliographic Details
Main Authors: Niccolò Mora, Federico Cocconcelli, Guido Matrella, Paolo Ciampolini
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
variational autoencoder (vae)
convolutional neural network (cnn)
seismocardiogram (scg)
vital sign monitoring
active assisted living (aal)
Online Access:https://www.mdpi.com/1424-8220/20/6/1670

Internet

https://www.mdpi.com/1424-8220/20/6/1670

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