Kinocardiography Derived from Ballistocardiography and Seismocardiography Shows High Repeatability in Healthy Subjects

Hossein, Amin; Rabineau, Jérémy; Gorlier, Damien; Río, José Ignacio Juárez Del; Borne, Philippe van de; Migeotte, Pierre-François; Nonclercq, Antoine

doi:10.3390/s21030815

Cited by 15 publications

(11 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Still, the latter model includes several simplifications, such as the assumption that only a small selection of blood compartments has an influence on the BCG signal. Besides this, most of the models so far have focused only on the head-to-foot component of the acceleration BCG signal, while modern devices can measure BCG in up to three linear and three rotational dimensions ( Migeotte et al, 2016 ; Hossein et al, 2019 ), showing high repeatability ( Hossein et al, 2021a ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Closed-Loop Multiscale Computational Model of Human Blood Circulation. Applications to Ballistocardiography

et al. 2021

Self Cite

View full text Add to dashboard Cite

Cardiac mechanical activity leads to periodic changes in the distribution of blood throughout the body, which causes micro-oscillations of the body’s center of mass and can be measured by ballistocardiography (BCG). However, many of the BCG findings are based on parameters whose origins are poorly understood. Here, we generate simulated multidimensional BCG signals based on a more exhaustive and accurate computational model of blood circulation than previous attempts. This model consists in a closed loop 0D-1D multiscale representation of the human blood circulation. The 0D elements include the cardiac chambers, cardiac valves, arterioles, capillaries, venules, and veins, while the 1D elements include 55 systemic and 57 pulmonary arteries. The simulated multidimensional BCG signal is computed based on the distribution of blood in the different compartments and their anatomical position given by whole-body magnetic resonance angiography on a healthy young subject. We use this model to analyze the elements affecting the BCG signal on its different axes, allowing a better interpretation of clinical records. We also evaluate the impact of filtering and healthy aging on the BCG signal. The results offer a better view of the physiological meaning of BCG, as compared to previous models considering mainly the contribution of the aorta and focusing on longitudinal acceleration BCG. The shape of experimental BCG signals can be reproduced, and their amplitudes are in the range of experimental records. The contributions of the cardiac chambers and the pulmonary circulation are non-negligible, especially on the lateral and transversal components of the velocity BCG signal. The shapes and amplitudes of the BCG waveforms are changing with age, and we propose a scaling law to estimate the pulse wave velocity based on the time intervals between the peaks of the acceleration BCG signal. We also suggest new formulas to estimate the stroke volume and its changes based on the BCG signal expressed in terms of acceleration and kinetic energy.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Besides this, most of the models so far have focused only on the head-to-foot component of the acceleration BCG signal, while modern devices can measure BCG in up to three linear and three rotational dimensions (Migeotte et al, 2016;Hossein et al, 2019), showing high repeatability (Hossein et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

Closed-Loop Multiscale Computational Model of Human Blood Circulation. Applications to Ballistocardiography

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [73], both SCG and BCG signals were combined together to produce a novel technique called kinocardiography (KCG) for recording myocardial functions. The body motion produced due to myocardial contractions and flow of blood through cardiac chambers were measured as 12 degrees-of-freedom for combining SCG and BCG signals.…”

Section: Recent Workmentioning

confidence: 99%

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

et al. 2021

View full text Add to dashboard Cite

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.

show abstract

“…Since IMUs usually also include gyroscopes, new techniques have recently been proposed, namely Gyrocardiography (GCG), which captures the rotational components of local cardiac vibrations [ 14 , 15 ]. The combined use of SCG and GCG, also from multiple sites, has further been investigated [ 16 , 17 , 18 ]. SCG and GCG have proven useful as wearable surrogates for echocardiography in estimating cardiac time intervals, which provide clinically relevant information for diagnosis and management of various cardiac pathologies [ 7 , 8 , 9 , 10 , 11 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Respiratory-Induced Amplitude Modulation of Forcecardiography Signals

2022

View full text Add to dashboard Cite

Forcecardiography (FCG) is a novel technique that records the weak forces induced on the chest wall by cardio-respiratory activity, by using specific force sensors. FCG sensors feature a wide frequency band, which allows us to capture respiration, heart wall motion, heart valves opening and closing (similar to the Seismocardiogram, SCG) and heart sounds, all simultaneously from a single contact point on the chest. As a result, the raw FCG sensors signals exhibit a large component related to the respiratory activity, referred to as a Forcerespirogram (FRG), with a much smaller, superimposed component related to the cardiac activity (the actual FCG) that contains both infrasonic vibrations, referred to as LF-FCG and HF-FCG, and heart sounds. Although respiration can be readily monitored by extracting the very low-frequency component of the raw FCG signal (FRG), it has been observed that the respiratory activity also influences other FCG components, particularly causing amplitude modulations (AM). This preliminary study aimed to assess the consistency of the amplitude modulations of the LF-FCG and HF-FCG signals within the respiratory cycle. A retrospective analysis was performed on the FCG signals acquired in a previous study on six healthy subjects at rest, during quiet breathing. To this aim, the AM of LF-FCG and HF-FCG were first extracted via a linear envelope (LE) operation, consisting of rectification followed by low-pass filtering; then, the inspiratory peaks were located both in the LE of LF-FCG and HF-FCG, and in the reference respiratory signal (FRG). Finally, the inter-breath intervals were extracted from the obtained inspiratory peaks, and further analyzed via statistical analyses. The AM of HF-FCG exhibited higher consistency within the respiratory cycle, as compared to the LF-FCG. Indeed, the inspiratory peaks were recognized with a sensitivity and positive predictive value (PPV) in excess of 99% in the LE of HF-FCG, and with a sensitivity and PPV of 96.7% and 92.6%, respectively, in the LE of LF-FCG. In addition, the inter-breath intervals estimated from the HF-FCG scored a higher R2 value (0.95 vs. 0.86) and lower limits of agreement (± 0.710 s vs. ±1.34 s) as compared to LF-FCG, by considering those extracted from the FRG as the reference. The obtained results are consistent with those observed in previous studies on SCG. A possible explanation of these results was discussed. However, the preliminary results obtained in this study must be confirmed on a larger cohort of subjects and in different experimental conditions.

show abstract

Kinocardiography Derived from Ballistocardiography and Seismocardiography Shows High Repeatability in Healthy Subjects

Cited by 15 publications

References 38 publications

Closed-Loop Multiscale Computational Model of Human Blood Circulation. Applications to Ballistocardiography

Closed-Loop Multiscale Computational Model of Human Blood Circulation. Applications to Ballistocardiography

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

Respiratory-Induced Amplitude Modulation of Forcecardiography Signals

Contact Info

Product

Resources

About