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Sensors in Cardiovascular Disease

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (6 May 2022) | Viewed by 3358

Special Issue Editors


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Guest Editor
Spaarne Gasthuis, Boerhaavelaan 22, 2000 AK, Haarlem, The Netherlands
Interests: non-invasive device

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Guest Editor
Department of Cardiology, Thorax Center, Erasmus University Medical Center, 3015GD Rotterdam, The Netherlands
Interests: cardiology; heart failure; advanced heart failure therapy; e-health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cardiovascular diseases present a growing burden to society. Especially, atrial fibrillation and heart failure are expected to increase enormously in the coming years, and pose a challenge to cardiovascular disease management. Innovations in (bio)technology enable us to monitor the cardiovascular system with implantable or wearable sensors more precisely and even continuously. This generates many unanswered questions, for example: Which sensed parameter will have the greatest impact on disease outcome? How can we best use the enormous amounts of data generated by such sensor systems? Clinicians face the challenge of determining how to distill the most relevant information from the big data. Additionally, can the sensor data reliably empower the patient to take control over their cardiovascular disease?

The current COVID-19 pandemic has accelerated the use and need of telemonitoring, and has also boosted its acceptance. In this Special Issue of Sensors, we highlight new research in the field of sensors in cardiovascular medicine. We hope your high-quality research will have an impact on future disease management.

Dr. Raymond Tukkie
Dr. Jasper J. Brugts
Guest Editors

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Keywords

  • sensors
  • cardiovascular
  • telemonitoring
  • hemodynamics
  • artificial intelligence
  • new algorithms
  • impact of new (implantable) sensors on clinical outcome and health economics

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Published Papers (1 paper)

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Research

13 pages, 1058 KiB  
Article
Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study
by Tero Koivisto, Olli Lahdenoja, Tero Hurnanen, Tuija Vasankari, Samuli Jaakkola, Tuomas Kiviniemi and K. E. Juhani Airaksinen
Sensors 2022, 22(12), 4384; https://doi.org/10.3390/s22124384 - 9 Jun 2022
Cited by 10 | Viewed by 2485
Abstract
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. [...] Read more.
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. Full article
(This article belongs to the Special Issue Sensors in Cardiovascular Disease)
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