Assessment of left ventricular twist by 3D ballistocardiography and seismocardiography compared with 2D STI echocardiography in a context of enhanced inotropism in healthy subjects

Morra, Sofia; Hossein, Amin; Rabineau, Jérémy; Gorlier, Damien; Racapé, Judith; Migeotte, Pierre-François; Borne, Philippe van de

doi:10.1038/s41598-020-79933-4

Cited by 10 publications

(7 citation statements)

References 47 publications

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“…These metrics have shown to be reproducible ( 21 ). Differences in iK metrics have been associated with differences in SV, LVEF, and cardiac output (CO) in healthy subjects during a dobutamine-induced hemodynamic increase ( 19 , 22 ), with an increase during voluntary apnea ( 23 ) and obstructive apnea ( 24 ), and with a surge during sympathetic activation ( 25 ).…”

Section: Methodsmentioning

confidence: 99%

Non-invasive cardiac kinetic energy distribution: a new marker of heart failure with impaired ejection fraction (KINO-HF)

Keyzer

Hossein

Rabineau

et al. 2023

Front. Cardiovasc. Med.

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BackgroundHeart failure (HF) remains a major cause of mortality, morbidity, and poor quality of life. 44% of HF patients present impaired left ventricular ejection fraction (LVEF). Kinocardiography (KCG) technology combines ballistocardiography (BCG) and seismocardiography (SCG). It estimates myocardial contraction and blood flow through the cardiac chambers and major vessels through a wearable device. Kino-HF sought to evaluate the potential of KCG to distinguish HF patients with impaired LVEF from a control group.MethodsSuccessive patients with HF and impaired LVEF (iLVEF group) were matched and compared to patients with normal LVEF ≥ 50% (control). A 60 s KCG acquisition followed cardiac ultrasound. The kinetic energy from KCG signals was computed in different phases of the cardiac cycle (iKsystolic;ΔiKdiastolic) as markers of cardiac mechanical function.ResultsThirty HF patients (67 [59; 71] years, 87% male) were matched with 30 controls (64.5 [49; 73] years, 87% male). SCG ΔiKdiastolic, BCG iKsystolic, BCG ΔiKdiastolic were lower in HF than controls (p < 0.05), while SCG iKsystolic was similar. Furthermore, a lower SCG iKsystolic was associated with an increased mortality risk during follow-up.ConclusionsKINO-HF demonstrates that KCG can distinguish HF patients with impaired systolic function from a control group. These favorable results warrant further research on the diagnostic and prognostic capabilities of KCG in HF with impaired LVEF.Clinical Trial Registration: NCT03157115.

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Section: Methodsmentioning

confidence: 99%

Non-invasive cardiac kinetic energy distribution: a new marker of heart failure with impaired ejection fraction (KINO-HF)

Keyzer

Hossein

Rabineau

et al. 2023

Front. Cardiovasc. Med.

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“…We have earlier shown that a smartphone application using MCG is a clinically useful methodology for the screening of atrial fibrillation and yields better diagnostic accuracy than currently available wearable devices using photoplethysmography signal [6]. Previous research has demonstrated that waveforms derived from seismocardiography and gyrocardiography reproduce the main events seen in left ventricular twist and strain rates obtained from echocardiography [3,7]. Experimental evidence also suggests that abnormalities in the heart function caused by myocardial infarction could be detected using this technology [8,9].…”

Section: Introductionmentioning

confidence: 99%

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

Koivisto

Lahdenoja

Hurnanen

et al. 2022

Sensors

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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.

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“…The experimental results showed that the proposed system empower the healthcare providers and patients to remotely monitor the real-time abnormalities of cardiac health. In [75], SCG and BCG were used for assessing the twist mechanics of left ventricle.…”

Section: Recent Workmentioning

confidence: 99%

A Comprehensive Review on Seismocardiogram: Current Advancements on Acquisition, Annotation, and Applications

et al. 2021

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In recent years, cardiovascular diseases are on the rise, and they entail enormous health burdens on global economies. Cardiac vibrations yield a wide and rich spectrum of essential information regarding the functioning of the heart, and thus it is necessary to take advantage of this data to better monitor cardiac health by way of prevention in early stages. Specifically, seismocardiography (SCG) is a noninvasive technique that can record cardiac vibrations by using new cutting-edge devices as accelerometers. Therefore, providing new and reliable data regarding advancements in the field of SCG, i.e., new devices and tools, is necessary to outperform the current understanding of the State-of-the-Art (SoTA). This paper reviews the SoTA on SCG and concentrates on three critical aspects of the SCG approach, i.e., on the acquisition, annotation, and its current applications. Moreover, this comprehensive overview also presents a detailed summary of recent advancements in SCG, such as the adoption of new techniques based on the artificial intelligence field, e.g., machine learning, deep learning, artificial neural networks, and fuzzy logic. Finally, a discussion on the open issues and future investigations regarding the topic is included.

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Assessment of left ventricular twist by 3D ballistocardiography and seismocardiography compared with 2D STI echocardiography in a context of enhanced inotropism in healthy subjects

Cited by 10 publications

References 47 publications

Non-invasive cardiac kinetic energy distribution: a new marker of heart failure with impaired ejection fraction (KINO-HF)

Non-invasive cardiac kinetic energy distribution: a new marker of heart failure with impaired ejection fraction (KINO-HF)

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

A Comprehensive Review on Seismocardiogram: Current Advancements on Acquisition, Annotation, and Applications

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