Coupling Between Posture and Respiration Among the Postural Chain: Toward a Screening Tool for Respiratory-Related Balance Disorders

Lespert, Yoann; Rivals, Isabelle; Ing, Ros Kiri; Clavel, Louis; Similowski, Thomas; Sandoz, Baptiste; Attali, Valérie

doi:10.1109/tnsre.2023.3328860

Cited by 2 publications

(3 citation statements)

References 39 publications

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“…•100 (4) where TPi and Ci are the number of predictions and the total number of observations in class i, and N is the number of classes (i.e., 3), From the confusion matrix in Fig. 12, it can be seen that the accuracy of the machine learning-based sitting posture recognition type was 96.30%, which verifies the effectiveness of sitting posture recognition method based on DF devices.…”

Section: Sitting Position Recognitionmentioning

confidence: 81%

“…Prolonged sedentary postures lead to unnatural postures that overload the intervertebral discs [2], causing injurious lower back pain, neck pain, shoulder discomfort, and limb soreness [3]. In addition, poor sitting posture will often lead to changes in breathing patterns [4]. Indeed, due to the active role of the thoracic spine in maintaining trunk stability, inappropriate trunk posture may cause respiratory difficulties [5].…”

Section: Introductionmentioning

confidence: 99%

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Double-Fishtail-Shaped FBG Wearable Device for Sitting Posture Recognition and Real-Time Respiratory Monitoring

Wang,

Zheng,

Nie

et al. 2024

IEEE Sensors J.

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Musculoskeletal issues frequently affect individuals who sit for prolonged periods, particularly in work settings. Addressing and preventing these upper body musculoskeletal disorders (UBMDs) requires close monitoring of seated behavior among employees. This study introduces a solution-an adaptable wearable device incorporating three distinct modular devices using fiber Bragg grating (FBG) technology. The FBG array, integrated into a polydimethylsiloxane (PDMS)-based double fishtail (DF) design, significantly enhances curvature sensitivity and durability. By fine-tuning the length of DF silicone, we further optimized curvature sensitivity. Our wearable device demonstrates prompt correlation with thoracic spine patterns, validated against a motion capture system (MoCap) using 10 volunteers as a benchmark. Furthermore, it successfully identifies common sitting postures-normal, breast-bearing, and hunchbacked-with exceptional accuracy exceeding 96.30%, employing the Random Forest Machine Learning methodology. Additionally, this device facilitates timely and accurate monitoring of respiratory rate (RR) by time-frequency domain analysis. This innovative optical solution showcases its potential for a variety of wearable device applications.

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Section: Sitting Position Recognitionmentioning

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Double-Fishtail-Shaped FBG Wearable Device for Sitting Posture Recognition and Real-Time Respiratory Monitoring

Wang,

Zheng,

Nie

et al. 2024

IEEE Sensors J.

View full text Add to dashboard Cite

show abstract

“…Measuring the relationship between postural control and respiration has clinical relevance in older adults [ 27 ] and in the assessment of cortical structures (motor, premotor, and supplementary motor areas) [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

Efficacy of Marker-Based Motion Capture for Respiratory Cycle Measurement: A Comparison with Spirometry

Shamantseva,

Klishkovskaia,

Ananyev

et al. 2023

Sensors

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Respiratory rate monitoring is fundamental in clinical settings, and the accuracy of measurement methods is critical. This study aimed to develop and validate methods for assessing respiratory rate and the duration leof respiratory cycle phases in different body positions using optoelectronic plethysmography (OEP) based on a motion capture video system. Two analysis methods, the summation method and the triangle method were developed. The study focused on determining the optimal number of markers while achieving accuracy in respiratory parameter measurements. The results showed that most analysis methods showed a difference of ≤0.5 breaths per minute, with R2 ≥ 0.94 (p < 0.001) compared to spirometry. The best OEP methods for respiratory rate were the abdominal triangles and the sum of abdominal markers in all body positions. The study explored inspiratory and expiratory durations. The research found that 5–9 markers were sufficient to accurately determine respiratory time components in all body positions, reducing the marker requirements compared to previous studies. This interchangeability of OEP methods with standard spirometry demonstrates the potential of non-invasive methods for the simultaneous assessment of body segment movements, center of pressure dynamics, and respiratory movements. Future research is required to improve the clinical applicability of these methods.

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Coupling Between Posture and Respiration Among the Postural Chain: Toward a Screening Tool for Respiratory-Related Balance Disorders

Abstract: Alteration of posturo-respiratory coupling (PRC) may precede postural imbalance in patients with chronic respiratory disease. PRC assessment would be appropriate for early detection of respiratory-related postural dysfunction. PRC may be evaluated by respiratory Manuscript

Cited by 2 publications

References 39 publications

Double-Fishtail-Shaped FBG Wearable Device for Sitting Posture Recognition and Real-Time Respiratory Monitoring

Double-Fishtail-Shaped FBG Wearable Device for Sitting Posture Recognition and Real-Time Respiratory Monitoring

Efficacy of Marker-Based Motion Capture for Respiratory Cycle Measurement: A Comparison with Spirometry

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