Cargando…

Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study

Novel means to minimize treatment delays in patients with ST elevation myocardial infarction (STEMI) are needed. Using an accelerometer and gyroscope on the chest yield mechanocardiographic (MCG) data. We investigated whether STEMI causes changes in MCG signals which could help to detect STEMI. The...

Descripción completa

Detalles Bibliográficos
Autores principales: Koivisto, Tero, Lahdenoja, Olli, Hurnanen, Tero, Vasankari, Tuija, Jaakkola, Samuli, Kiviniemi, Tuomas, Airaksinen, K. E. Juhani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228321/
https://www.ncbi.nlm.nih.gov/pubmed/35746166
http://dx.doi.org/10.3390/s22124384
_version_ 1784734429504077824
author Koivisto, Tero
Lahdenoja, Olli
Hurnanen, Tero
Vasankari, Tuija
Jaakkola, Samuli
Kiviniemi, Tuomas
Airaksinen, K. E. Juhani
author_facet Koivisto, Tero
Lahdenoja, Olli
Hurnanen, Tero
Vasankari, Tuija
Jaakkola, Samuli
Kiviniemi, Tuomas
Airaksinen, K. E. Juhani
author_sort Koivisto, Tero
collection PubMed
description Novel means to minimize treatment delays in patients with ST elevation myocardial infarction (STEMI) are needed. Using an accelerometer and gyroscope on the chest yield mechanocardiographic (MCG) data. We investigated whether STEMI causes changes in MCG signals which could help to detect STEMI. The study group consisted of 41 STEMI patients and 49 control patients referred for elective coronary angiography and having normal left ventricular function and no valvular heart disease or arrhythmia. MCG signals were recorded on the upper sternum in supine position upon arrival to the catheterization laboratory. In this study, we used a dedicated wearable sensor equipped with 3-axis accelerometer, 3-axis gyroscope and 1-lead ECG in order to facilitate the detection of STEMI in a clinically meaningful way. A supervised machine learning approach was used. Stability of beat morphology, signal strength, maximum amplitude and its timing were calculated in six axes from each window with varying band-pass filters in 2–90 Hz range. In total, 613 features were investigated. Using logistic regression classifier and leave-one-person-out cross validation we obtained a sensitivity of 73.9%, specificity of 85.7% and AUC of 0.857 (SD = 0.005) using 150 best features. As a result, mechanical signals recorded on the upper chest wall with the accelerometers and gyroscopes differ significantly between STEMI patients and stable patients with normal left ventricular function. Future research will show whether MCG can be used for the early screening of STEMI.
format Online
Article
Text
id pubmed-9228321
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-92283212022-06-25 Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study Koivisto, Tero Lahdenoja, Olli Hurnanen, Tero Vasankari, Tuija Jaakkola, Samuli Kiviniemi, Tuomas Airaksinen, K. E. Juhani Sensors (Basel) Article Novel means to minimize treatment delays in patients with ST elevation myocardial infarction (STEMI) are needed. Using an accelerometer and gyroscope on the chest yield mechanocardiographic (MCG) data. We investigated whether STEMI causes changes in MCG signals which could help to detect STEMI. The study group consisted of 41 STEMI patients and 49 control patients referred for elective coronary angiography and having normal left ventricular function and no valvular heart disease or arrhythmia. MCG signals were recorded on the upper sternum in supine position upon arrival to the catheterization laboratory. In this study, we used a dedicated wearable sensor equipped with 3-axis accelerometer, 3-axis gyroscope and 1-lead ECG in order to facilitate the detection of STEMI in a clinically meaningful way. A supervised machine learning approach was used. Stability of beat morphology, signal strength, maximum amplitude and its timing were calculated in six axes from each window with varying band-pass filters in 2–90 Hz range. In total, 613 features were investigated. Using logistic regression classifier and leave-one-person-out cross validation we obtained a sensitivity of 73.9%, specificity of 85.7% and AUC of 0.857 (SD = 0.005) using 150 best features. As a result, mechanical signals recorded on the upper chest wall with the accelerometers and gyroscopes differ significantly between STEMI patients and stable patients with normal left ventricular function. Future research will show whether MCG can be used for the early screening of STEMI. MDPI 2022-06-09 /pmc/articles/PMC9228321/ /pubmed/35746166 http://dx.doi.org/10.3390/s22124384 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Koivisto, Tero
Lahdenoja, Olli
Hurnanen, Tero
Vasankari, Tuija
Jaakkola, Samuli
Kiviniemi, Tuomas
Airaksinen, K. E. Juhani
Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study
title Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study
title_full Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study
title_fullStr Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study
title_full_unstemmed Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study
title_short Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study
title_sort mechanocardiography in the detection of acute st elevation myocardial infarction: the mechano-stemi study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228321/
https://www.ncbi.nlm.nih.gov/pubmed/35746166
http://dx.doi.org/10.3390/s22124384
work_keys_str_mv AT koivistotero mechanocardiographyinthedetectionofacutestelevationmyocardialinfarctionthemechanostemistudy
AT lahdenojaolli mechanocardiographyinthedetectionofacutestelevationmyocardialinfarctionthemechanostemistudy
AT hurnanentero mechanocardiographyinthedetectionofacutestelevationmyocardialinfarctionthemechanostemistudy
AT vasankarituija mechanocardiographyinthedetectionofacutestelevationmyocardialinfarctionthemechanostemistudy
AT jaakkolasamuli mechanocardiographyinthedetectionofacutestelevationmyocardialinfarctionthemechanostemistudy
AT kiviniemituomas mechanocardiographyinthedetectionofacutestelevationmyocardialinfarctionthemechanostemistudy
AT airaksinenkejuhani mechanocardiographyinthedetectionofacutestelevationmyocardialinfarctionthemechanostemistudy