Evaluation of respiratory- and postural-induced changes on the ballistocardiogram signal by time warping averaging

Martín-Yebra, Alba; Landreani, Federica; Casellato, Claudia; Pavan, E.; Migeotte, Pierre-François; Frigo, C.; Martínez, Juan Pablo; Caiani, Enrico Gianluca

doi:10.1088/1361-6579/aa72b0

Cited by 16 publications

(11 citation statements)

References 23 publications

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“…As the influence of breathing on accelerometric data, such as the BCG, is well known 21 , 26 , 27 , acquisition was standardized through an imposed and controlled breathing (ICB) protocol to reduce intra- and inter-subject variability, possibly due to differences in spontaneous breathing. This ICB protocol consisted of 4 sequences of 10 repetitions of a fixed length (4, 6, 8, and 10 s) breathing cycle (half for inspiration, half for expiration).…”

Section: Methodsmentioning

confidence: 99%

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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Section: Methodsmentioning

confidence: 99%

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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“…Therefore, for data with a large number of dimensions, the search area can be restricted to a hexagon by Eq. (7).…”

Section: Limitation Of the Search Areamentioning

confidence: 99%

“…Fitness evaluation function: F() Incremental factor: p = p 0 Initial iterations: iter = Maximum iterations: K Output S best : the optimal solution Lstep: the length of the optimal solution Begin Computing grid map: Converting sequence X and Y into distance matrix shown in (1), generating zero matrix of the same dimension as distance matrix, using (7) limiting the zero matrix to 0-1 matrix, the grid map is obtained. ACO algorithm parameter initialization: ηij is the heuristic factor.…”

Section: Pheromone Initialization and Update Mechanismmentioning

confidence: 99%

“…As a very common measure of elasticity, dynamic time warping (DTW) allows points in a sequence to be matched with equal length after self-replication, which overcomes the problem that lock-step measures cannot be matched due to distortion of the sequence [5]. At present, the application of DTW has developed from speech recognition to many other fields, such as bioinformatics [4][5][6], online signature verification [7][8][9] and gesture recognition [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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An approach for heuristic parallel LDTW distance optimization method with bio-inspired strategy

Dai¹,

He²,

Li³

2021

NNW

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Dynamic time warping (DTW) is a classical similarity measure for arbitrary length time series. As an effective improvement of DTW, dynamic time warping under limited warping path length (LDTW) oppresses the long-term pathological alignment problem and allows better flexibility. However, since LDTW increases path lengths, it directly leads to higher time-consuming. In this paper, a new method of similarity sequence measurement (ACO LDTW) is proposed by the parallel computing characteristics of ant colony optimization (ACO) algorithm with bio-inspired strategy and the idea of LDTW path restriction. This algorithm searches the optimal path on the restricted distance matrix by simulating the behavior of ant colony parallel foraging. Firstly, the distance matrix is mapped to the 0 − 1 matrix of grid method, and the search range of ants is limited by the warping path in LDTW. Secondly, the state transition probability function, pheromone initialization and update mechanism of ACO algorithm are adapted. On the basis of ensuring the accurate results, the convergence rate can be effectively improved. The validity of ACO LDTW is verified by cases. In the 22 data sets of 1NN classification experiment, ACO LDTW has the lowest classification error rate in 16 data sets, and it is shorter than the calculation time of LDTW. At the same time, it is applied to the field of mechanical fault diagnosis and has the ability to solve practical engineering applications. Experiments show that ACO LDTW is more effective in terms of accuracy and computation time.

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“…Regardless, the existing body of work on the use of the BCG for CV parameter estimation is quite sparse other than cuff-less BP. Indeed, it is only recently that a few pioneering studies to investigate the feasibility of the BCG for CV parameter monitoring appeared, including diastolic BP (DP) and systolic BP (SP) [1,2,14,30,31,32], SV and CO [30,33], peripheral blood oxygenation [30], and preload and afterload [34].…”

Section: Introductionmentioning

confidence: 99%

Unobtrusive Estimation of Cardiovascular Parameters with Limb Ballistocardiography

Shin

Mousavi

et al. 2019

Sensors

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This study investigates the potential of the limb ballistocardiogram (BCG) for unobtrusive estimation of cardiovascular (CV) parameters. In conjunction with the reference CV parameters (including diastolic, pulse, and systolic pressures, stroke volume, cardiac output, and total peripheral resistance), an upper-limb BCG based on an accelerometer embedded in a wearable armband and a lower-limb BCG based on a strain gauge embedded in a weighing scale were instrumented simultaneously with a finger photoplethysmogram (PPG). To standardize the analysis, the more convenient yet unconventional armband BCG was transformed into the more conventional weighing scale BCG (called the synthetic weighing scale BCG) using a signal processing procedure. The characteristic features were extracted from these BCG and PPG waveforms in the form of wave-to-wave time intervals, wave amplitudes, and wave-to-wave amplitudes. Then, the relationship between the characteristic features associated with (i) the weighing scale BCG-PPG pair and (ii) the synthetic weighing scale BCG-PPG pair versus the CV parameters, was analyzed using the multivariate linear regression analysis. The results indicated that each of the CV parameters of interest may be accurately estimated by a combination of as few as two characteristic features in the upper-limb or lower-limb BCG, and also that the characteristic features recruited for the CV parameters were to a large extent relevant according to the physiological mechanism underlying the BCG.

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Evaluation of respiratory- and postural-induced changes on the ballistocardiogram signal by time warping averaging

Cited by 16 publications

References 23 publications

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

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

An approach for heuristic parallel LDTW distance optimization method with bio-inspired strategy

Unobtrusive Estimation of Cardiovascular Parameters with Limb Ballistocardiography

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