Seismocardiography on Infants and Kids

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

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

6 Sitaatiot (Scopus)
46 Lataukset (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.

Otsikko2020 Computing in Cardiology, CinC 2020
ISBN (elektroninen)9781728173825
DOI - pysyväislinkit
TilaJulkaistu - 13 syysk. 2020
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaComputing in Cardiology Conference - Rimini, Italia
Kesto: 13 syysk. 202016 syysk. 2020


NimiComputing in Cardiology
ISSN (painettu)2325-8861
ISSN (elektroninen)2325-887X


ConferenceComputing in Cardiology Conference


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