Modification of the mechanical cardiac performance during end-expiratory voluntary apnea recorded with ballistocardiography and seismocardiography

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

doi:10.1088/1361-6579/ab4a6a

Cited by 10 publications

(10 citation statements)

References 32 publications

(54 reference statements)

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“…We presented a device capable of computing the integral of kinetic energy of a contractile cycle recorded with microaccelerometers and gyroscopes, with the aim to provide information on the mechanical activity of the heart. We previously demonstrated the capability of this device to follow changes of cardiac contractility in different conditions as already mentioned (2,12,31,32,42). With the present investigation, we add that this device can detect an acutely failing heart of ischemic origin by providing a parameter of kinetic energy.…”

Section: Rotational Dimensionsupporting

confidence: 63%

“…As explained above, the automatic identification of P, Q, R, S, and T waves on the ECG allowed for the identification of the cardiac cycle on the SCG waveforms. By combining these reference points, the systolic and diastolic phases can also be identified (12). The present investigation reported also the different impact of AMI on systolic and diastolic SCG waveforms.…”

Section: Rotational Dimensionmentioning

confidence: 58%

“…The device was controlled remotely with a tablet connected via Bluetooth and collected a one-lead ECG and a linear (Lin) and a rotational (Rot) three-axes SCG. Details about this methodology have been described previously (2,12). Observations from unpublished results demonstrate that SCG measurements are reliable and reproducible using different sensors and that the metrics of linear and rotational iK are comparable.…”

Section: Accelerometric Signal Acquisition and Processingmentioning

confidence: 99%

“…Recently, a multi-dimensional BCG combined with a multidimensional SCG, called kinocardiograph (KCG), has been introduced and, differently from many previous devices which record signals only in one dimension, the KCG records both three-dimensional (3D) linear acceleration and 3D angular velocity signals by means of linear and rotational channels (2,11). Using specific algorithms, kinetic energy and its temporal integral (iK) can be computed from the BCG and SCG waveforms as scalar parameters, both in a linear (iK Lin ) and in a rotational (iK Rot ) dimension (2,12).…”

Section: Introductionmentioning

confidence: 99%

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Quantification of Cardiac Kinetic Energy and Its Changes During Transmural Myocardial Infarction Assessed by Multi-Dimensional Seismocardiography

Morra

Pitisci

et al. 2021

Front. Cardiovasc. Med.

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Introduction: Seismocardiography (SCG) records cardiac and blood-induced motions transmitted to the chest surface as vibratory phenomena. Evidences demonstrate that acute myocardial ischemia (AMI) profoundly affects the SCG signals. Multidimensional SCG records cardiac vibrations in linear and rotational dimensions, and scalar parameters of kinetic energy can be computed. We speculate that AMI and revascularization profoundly modify cardiac kinetic energy as recorded by SCG.Methods: Under general anesthesia, 21 swine underwent 90 min of myocardial ischemia induced by percutaneous sub-occlusion of the proximal left anterior descending (LAD) coronary artery and subsequent revascularization. Invasive hemodynamic parameters were continuously recorded. SCG was recorded during baseline, immediately and 80 min after LAD sub-occlusion, and immediately and 60 min after LAD reperfusion. iK was automatically computed for each cardiac cycle (iKCC) in linear (iKLin) and rotational (iKRot) dimensions. iK was calculated as well during systole and diastole (iKSys and iKDia, respectively). Echocardiography was performed at baseline and after revascularization, and the left ventricle ejection fraction (LVEF) along with regional left ventricle (LV) wall abnormalities were evaluated.Results: Upon LAD sub-occlusion, 77% of STEMI and 24% of NSTEMI were observed. Compared to baseline, troponins increased from 13.0 (6.5; 21.3) ng/dl to 170.5 (102.5; 475.0) ng/dl, and LVEF dropped from 65.0 ± 0.0 to 30.6 ± 5.7% at the end of revascularization (both p < 0.0001). Regional LV wall abnormalities were observed as follows: anterior MI, 17.6% (three out of 17); septal MI, 5.8% (one out of 17); antero-septal MI, 47.1% (eight out of 17); and infero-septal MI, 29.4% (five out of 17). In the linear dimension, iKLinCC, iKLinSys, and iKLinDia dropped by 43, 52, and 53%, respectively (p < 0.0001, p < 0.0001, and p = 0.03, respectively) from baseline to the end of reperfusion. In the rotational dimension, iKRotCC and iKRotSys dropped by 30 and 36%, respectively (p = 0.0006 and p < 0.0001, respectively), but iKRotDia did not change (p = 0.41). All the hemodynamic parameters, except the pulmonary artery pulse pressure, were significantly correlated with the parameters of iK, except for the diastolic component.Conclusions: In this very context of experimental AMI with acute LV regional dysfunction and no concomitant AMI-related heart valve disease, linear and rotational iK parameters, in particular, systolic ones, provide reliable information on LV contractile dysfunction and its effects on the downstream circulation. Multidimensional SCG may provide information on the cardiac contractile status expressed in terms of iK during AMI and reperfusion. This automatic system may empower health care providers and patients to remotely monitor cardiovascular status in the near future.

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Section: Rotational Dimensionsupporting

confidence: 63%

Section: Rotational Dimensionmentioning

confidence: 58%

Section: Accelerometric Signal Acquisition and Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantification of Cardiac Kinetic Energy and Its Changes During Transmural Myocardial Infarction Assessed by Multi-Dimensional Seismocardiography

Morra

Pitisci

et al. 2021

Front. Cardiovasc. Med.

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“…Even though the flow protocol used to measure SV in this study did not require breath holds, other sequences conducted before this flow measurement had such requirements, which may have impacted the actual values of SV in the participants. This point is also supported by the fact that some of our previous studies showed that breath holds as short as 10 s led to large increases in in healthy subjects 44 . This research protocol was not designed for studying close correlation between the two methods, but rather to evaluate their overall agreement in evaluating cardiac adaptation, which was successfully done.…”

Section: Discussionsupporting

confidence: 56%

Cardiovascular adaptation to simulated microgravity and countermeasure efficacy assessed by ballistocardiography and seismocardiography

Rabineau

Hossein

Landreani

et al. 2020

Sci Rep

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Head-down bed rest (HDBR) reproduces the cardiovascular effects of microgravity. We tested the hypothesis that regular high-intensity physical exercise (JUMP) could prevent this cardiovascular deconditioning, which could be detected using seismocardiography (SCG) and ballistocardiography (BCG). 23 healthy males were exposed to 60-day HDBR: 12 in a physical exercise group (JUMP), the others in a control group (CTRL). SCG and BCG were measured during supine controlled breathing protocols. From the linear and rotational SCG/BCG signals, the integral of kinetic energy ($$iK$$ iK ) was computed on each dimension over the cardiac cycle. At the end of HDBR, BCG rotational $$iK$$ iK and SCG transversal $$iK$$ iK decreased similarly for all participants (− 40% and − 44%, respectively, p < 0.05), and so did orthostatic tolerance (− 58%, p < 0.01). Resting heart rate decreased in JUMP (− 10%, p < 0.01), but not in CTRL. BCG linear $$iK$$ iK decreased in CTRL (− 50%, p < 0.05), but not in JUMP. The changes in the systolic component of BCG linear iK were correlated to those in stroke volume and VO2 max (R = 0.44 and 0.47, respectively, p < 0.05). JUMP was less affected by cardiovascular deconditioning, which could be detected by BCG in agreement with standard markers of the cardiovascular condition. This shows the potential of BCG to easily monitor cardiac deconditioning.

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A Unified Approach to Wearable Ballistocardiogram Gating and Wave Localization

Shin

Yousefian

Mousavi

et al. 2021

IEEE Trans. Biomed. Eng.

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Modification of the mechanical cardiac performance during end-expiratory voluntary apnea recorded with ballistocardiography and seismocardiography

Cited by 10 publications

References 32 publications

Quantification of Cardiac Kinetic Energy and Its Changes During Transmural Myocardial Infarction Assessed by Multi-Dimensional Seismocardiography

Quantification of Cardiac Kinetic Energy and Its Changes During Transmural Myocardial Infarction Assessed by Multi-Dimensional Seismocardiography

Cardiovascular adaptation to simulated microgravity and countermeasure efficacy assessed by ballistocardiography and seismocardiography

A Unified Approach to Wearable Ballistocardiogram Gating and Wave Localization

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