Seismocardiography on Infants and Kids

Nico Jahne-Raden*, Henrike Gutschleg, Marie Cathrine Wolf, Stephan Sigg, Ulf Kulau

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

6 Citations (Scopus)
49 Downloads (Pure)


Seismocardiography (SCG) offers a variety of possibilities for cardiovascular diagnostics, especially in long-term monitoring. Unfortunately, little information is available about changes in SCG-signal-morphology over the life course, as well as differences in different age groups. A highly specialized system with two isochronous accelerometers (at sternum/apex) and a reference ECG with a sample frequency of 17kHz was used. We included healthy infants and children between 0 and 14 years, with a focus on babies. In contrast to adult measurements, working with children is demanding in many ways (e.g. movement artifacts). First, the SCG and ECG data were processed by filter mechanisms and annotated by peak-detection based on patter analysis. With the annotated data, a detailed examination of the established SCG features with regard to absolute and relative amplitudes and time intervals was realized. Through this analysis it is possible to make initial comparisons of the child groups to adult data. The infant's SCG amplitude is up to five times smaller, but the actual signal morphology is equal. Established physiological processes of the child's heart can also be identified (e.g. high pulse-rate-variability). This work is a prelude to a further collection and should lead to an open-data database that includes data a wide range of ages as well as various pathologies.

Original languageEnglish
Title of host publication2020 Computing in Cardiology, CinC 2020
Number of pages4
ISBN (Electronic)9781728173825
Publication statusPublished - 13 Sept 2020
MoE publication typeA4 Conference publication
EventComputing in Cardiology Conference - Rimini, Italy
Duration: 13 Sept 202016 Sept 2020

Publication series

NameComputing in Cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


ConferenceComputing in Cardiology Conference
Abbreviated titleCinC


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