A4 Vertaisarvioitu artikkeli konferenssijulkaisussa

Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups




TekijätElnaggar Ismail, Pykäri Jouni, Hurnanen Tero, Lahdenoja Olli, Airola Antti, Kaisti Matti, Vasankari Tuija, Savontaus Mikko, Koivisto Tero

ToimittajaN/A

Konferenssin vakiintunut nimiComputing in Cardiology

Julkaisuvuosi2022

JournalComputing in Cardiology

Kokoomateoksen nimiComputing in Cardiology 2022

Sarjan nimiComputing in Cardiology

Vuosikerta49

ISSN2325-8861

eISSN2325-887X

DOIhttps://doi.org/10.22489/CinC.2022.370

Verkko-osoitehttps://cinc.org/archives/2022/pdf/CinC2022-370.pdf

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/178542625


Tiivistelmä

Differences in cardiac time intervals (CTIs) have previously been shown in different patient groups with varying levels of cardiac function. These studies relied on methods such as conventional echocardiography or tissue doppler imaging performed by a specialist to extract CTIs. The goal of this study was to evaluate the ability of using a combination of single lead ECG and 3-axis seismocardiography (SCG) from a sensor placed on a subject’s sternum to automatically extract CTIs.

For each subject, pre-ejection period (PEP), left ventricular ejection time (LVET), total systolic time (TST), and total diastolic time (TDT), which were normalized by the mean heart rate representing the entire recording were extracted using a custom developed algorithm.

LVET was on average 20.5 % shorter in the NKHCD group vs PRE-TAVI (p < 0.05) and 5.9% shorter in the HCD group vs PRE-TAVI (p > 0.05). Comparing CTIs between the subjects who had data recorded before and after receiving a TAVI procedure, a 12.6% postoperative reduction in LVET (p < 0.05) was found on average as well as a 30.2% increase in PEP/LVET (p < 0.05). These results are in line with literature where LVET increases with age and severe aortic stenosis and decreases after TAVI procedures when echocardiography was the main methodology used to extract CTIs.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.





Last updated on 2024-26-11 at 10:42