Thoracoabdominal motion in newborns: Reliability between two interactive computing environments

Gomes, Danielle Cristina; Azevedo, Ingrid Guerra; Araújo, Ana Gabriela de Figueiredo; Lopes, Lenice D. da Costa; Nagem, Danilo Alves Pinto; Magalhães, Fabrício Anicio; Pereira, Silvana Alves

doi:10.1002/ppul.24709

Cited by 7 publications

(8 citation statements)

References 27 publications

(39 reference statements)

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“…As technology evolves, the feasibility of measuring physiological variables using such methods, mixed with the technological advancements in computing hardware, makes research in these area a hot topic. Some examples that can be found in the literature of these methods comprise: continuous wave doppler radar [5], [6], depth-based cameras [7], [8], [9] or even regular consumer-grade cameras [10], [11], [12], [13] to acquire respiration.…”

Section: Introductionmentioning

confidence: 99%

“…Apart from the aforementioned examples, and although there are plenty of studies in the literature that focus on detecting respiration through cameras, there are very few that measure breathing from a lateral perspective [13], [14]. For instance, [14] even though it measures breathing from a lateral perspective in adult population, the study is focused on obtaining the variation of wall volume during tidal breathing, hence no breath to breath variability analysis is performed.…”

Section: Introductionmentioning

confidence: 99%

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Camera-Based Method for Respiratory Rhythm Extraction From a Lateral Perspective

et al. 2020

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This work proposes a new method based on computer vision algorithms to measure the respiratory rhythm of a subject from a lateral perspective. The proposed algorithm consists on tracking the motion of the intercostal and abdominal muscles by the means of dense optical flow, being the novelty of the proposed method the extraction of the respiratory signal from the phase of the optical flow, while extracting at the same time a quality index from the modulus. 15 healthy subjects were measured while seating, and 4 tests were performed for each subject involving different scenarios. The algorithm has been validated using a commercial wearable thorax inductive plethysmograph system. The instantaneous frequency for the constant frequency respiratory tests, and the breath to breath analysis and instantaneous frequency of the free breathing test have been computed to assess the performance and error of the proposed method for the respiratory acquisition. Finally, a statistical analysis has been performed to assess the accuracy and performance of the quality index. The results of the study show a high agreement between methods in the 0.1 Hz and 0.3 Hz test. For the Free breathing test, both the cycle by cycle and Instantaneous frequency results show a low error between methods with high sensitivity in the cycle detection. The hypothesis that the modulus of the optical flow could be used as a quality index has been corroborated, with very good statistical results. Moreover, due to the simplicity of the proposed algorithm, the proposed method can perform in real-time while measuring respiratory rhythm and assessing the quality of the acquired signal. Further studies taking into account external vibrations have to be performed, to assert that the proposed method can be used in demanding conditions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Camera-Based Method for Respiratory Rhythm Extraction From a Lateral Perspective

et al. 2020

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“…15 However, they are limited to collaborative patients, depending on the expertise of the clinical staff, take a long time for data collection and analysis, or are not easily implemented in a hospital routine. 16 On the other hand, the use of inertial and magnetic measurement units (IMMUs) has increased in adults [17][18][19] and children 20,21 because it is a practical, efficient, portable, and low-cost technology. 22,23 Although these sensors have already been used to estimate the thoracic and abdominal compartments kinematics, 19 to the best of the authors' knowledge, the TA synchrony in a neonatal environment has not been evaluated using this technology yet.…”

Section: Introductionmentioning

confidence: 99%

“…Other possible approaches are using quantitative and noninvasive methods to measure TA mobility, such as cirtometry, 13 three‐dimensional biophotogrammetry, 14 and optoelectronic plethysmography 15 . However, they are limited to collaborative patients, depending on the expertise of the clinical staff, take a long time for data collection and analysis, or are not easily implemented in a hospital routine 16 …”

Section: Introductionmentioning

confidence: 99%

Respiratory synchrony comparison between preterm and full‐term neonates using inertial sensors

Silveira¹,

Magalhães

Holanda

et al. 2021

Pediatric Pulmonology

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Introduction: Due to inefficient respiratory control, newborns become prone to asynchronous thoracoabdominal (TA) movements. The present study quantitatively estimated the synchrony of TA in preterm and full-term newborns through an inertial and magnetic measurement units (IMMUs) system. Methods: This cross-sectional study was conducted with 20 newborns divided into Preterm Group (PTG, n = 10) and Full-Term Group (FTG, n = 10). Each neonate had IMMUs placed on the sternum and near the umbilicus, thus the TA motion was estimated through the resultant inclination angles calculated using a sensor fusion filter. The respiratory incursions were also manually counted and video-recorded for two minutes, then used to validate a Matlab custom-written routine for their automatic identification. The respiratory cycles were used to calculate the phase change angle (φ) between the thoracic and abdominal compartments. Association between the manual and automatic methods were verified by Pearson's correlation and root mean squared errors (RMSE), and the comparison between the groups was performed through the Student's t test with α = .05. Results:The values of respiratory incursions measured by both methods showed a high association and low measurement error (r = .96, RMSE = 9.8, p < .001). The FTG presented a higher occurrence of TA synchrony (p = .049) while the PTG group presented a higher occurrence of TA asynchrony (p = .036). No difference was found between the groups regarding the paradoxical classification (p = .071). Conclusion:The proposed method was valid to quantitatively assess the TA synchrony of hospitalized neonates. Preterm infants had a higher occurrence of the asynchronous respiratory pattern in comparison to full-term infants.

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“…On the other hand, bio-photogrammetry has been described as a more accessible and usable method for analyzing thoracoabdominal compartment mobility and synchrony in clinical practice [6,7,[16][17][18]. It makes it possible to record the variation in geometric delimitation of body compartments and capture the kinematics through a set of photograms [6,7,17,18].…”

Section: Introductionmentioning

confidence: 99%

Reliability of a computational model for evaluating thoracoabdominal mobility in newborns: a cross-sectional study

Gomes

Azevedo

Araújo

et al. 2021

J Clin Monit Comput

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Background: Thoracoabdominal mobility (TAM) in newborns (NB) is an important respiratory function parameter in clinical assessment. Different systems have been proposed to assess compartmental mobility in a number of pathologies and age ranges. The present study aimed to verify the inter and intraexaminer reliability of an interactive custom-made MATLAB® App for bio-photogrammetric analysis of thoracoabdominal mobility in newborns (NB) and compare the respiratory rate (RR) results between the automatic MATLAB® App and its manual counterpart.Methods: This is a cross-sectional study conducted in 27 healthy NB of both sexes (gestational age between 37 and 41 weeks and up to 72 hours of life) who did not cry during data acquisition. Chest and abdominal areas of the NB in the supine position were analyzed through 60s videos, totaling 30,714 photograms. All photograms were analyzed by three examiners on three different occasions. Analysis of variance (ANOVA) and intraclass correlation coe cient (ICC) were applied, adopting a 95% con dence interval and signi cance level of α = 0.05.Results: Reliability was excellent for intra (ICC 0.81 -0.96) and inter-examiner correlations (ICC 0.84-0.99) between the chest and abdominal areas, in both inspiration and expiration, with no differences between them.Conclusions: Evaluation of NB thoracoabdominal mobility using the custom-made MATLAB® App for bio-photogrammetric analysis exhibited good to excellent intra-and inter-examiner reliability and an

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Thoracoabdominal motion in newborns: Reliability between two interactive computing environments

Cited by 7 publications

References 27 publications

Camera-Based Method for Respiratory Rhythm Extraction From a Lateral Perspective

Camera-Based Method for Respiratory Rhythm Extraction From a Lateral Perspective

Respiratory synchrony comparison between preterm and full‐term neonates using inertial sensors

Reliability of a computational model for evaluating thoracoabdominal mobility in newborns: a cross-sectional study

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