Contactless Monitoring of Breathing Patterns and Respiratory Rate at the Pit of the Neck: A Single Camera Approach

Massaroni, Carlo; Lopes, Daniel Simões; Presti, Daniela Lo; Schena, Emiliano; Silvestri, Sergio

doi:10.1155/2018/4567213

Cited by 86 publications

(65 citation statements)

References 28 publications

(52 reference statements)

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“…The obtained results of this study can be compared to the methods proposed by Massaroni et al and the results obtained in [33] and [12]. These two works are based on acquiring the respiration at the pit of the neck by the means of an RGB camera.…”

Section: B Free Breathing Testmentioning

confidence: 74%

“…These two works are based on acquiring the respiration at the pit of the neck by the means of an RGB camera. Although the methods in [33], [12] do not use the same measuring point as our method, and given that no previous methods could be found in the literature that use the same measuring region in adult population, they pose as a good reference of video-based methods for respiratory acquisition.…”

Section: B Free Breathing Testmentioning

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: B Free Breathing Testmentioning

confidence: 74%

Section: B Free Breathing Testmentioning

confidence: 99%

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

et al. 2020

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“…Additionally, in describing respiratory markers accompanying hidden turn-taking events, the study demonstrates how the respiratory signal might help overcome some of the deficiencies of using pause-delimited interactional units (Włodarczak and Wagner, 2013 ) by including speakers' unrealized intentions. Finally, given the latest developments in using the acoustic signal for tracking speech activity (Nallanthighal et al, 2019 ) as well as increasing availability of a wide range of sensors for remote tracking of breathing (Massaroni et al, 2018 ; Regev and Wulich, 2020 ), the findings can also inform models of turn-taking implemented in speech and interaction technology systems. We discuss these and other implications of the present work in section 5.…”

Section: Introductionmentioning

confidence: 99%

Breathing in Conversation

Włodarczak

Heldner

2020

Front. Psychol.

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This work revisits the problem of breathing cues used for management of speaking turns in multiparty casual conversation. We propose a new categorization of turn-taking events which combines the criterion of speaker change with whether the original speaker inhales before producing the next talkspurt. We demonstrate that the latter criterion could be potentially used as a good proxy for pragmatic completeness of the previous utterance (and, by extension, of the interruptive character of the incoming speech). We also present evidence that breath holds are used in reaction to incoming talk rather than as a turn-holding cue. In addition to analysing dimensions which are routinely omitted in studies of interactional functions of breathing (exhalations, presence of overlapping speech, breath holds), the present study also looks at patterns of breath holds in silent breathing and shows that breath holds are sometimes produced toward the beginning (and toward the top) of silent exhalations, potentially indicating an abandoned intention to take the turn. We claim that the breathing signal can thus be successfully used for uncovering hidden turn-taking events, which are otherwise obscured by silence-based representations of interaction.

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“…A potential solution can be the use of systems able to collect quantitative information of both neck postures and respiration. In the literature, only a few systems have been proposed for monitoring wrong postures and breathing activity [21][22][23]. Focusing on the computer working scenario, systems embedding sensors directly in contact with the body (i.e., contact-based systems) are recommended.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Parametric Wearable System to Monitor Neck Movements and Respiratory Frequency of Computer Workers

Presti

Carnevale

D’Abbraccio

et al. 2020

Sensors

Self Cite

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Musculoskeletal disorders are the most common form of occupational ill-health. Neck pain is one of the most prevalent musculoskeletal disorders experienced by computer workers. Wrong postural habits and non-compliance of the workstation to ergonomics guidelines are the leading causes of neck pain. These factors may also alter respiratory functions. Health and safety interventions can reduce neck pain and, more generally, the symptoms of musculoskeletal disorders and reduce the consequent economic burden. In this work, a multi-parametric wearable system based on two fiber Bragg grating sensors is proposed for monitoring neck movements and breathing activity of computer workers. The sensing elements were positioned on the neck, in the frontal and sagittal planes, to monitor: (i) flexion-extension and axial rotation repetitions, and (ii) respiratory frequency. In this pilot study, five volunteers were enrolled and performed five repetitions of both flexion-extension and axial rotation, and ten breaths of both quite breathing and tachypnea. Results showed the good performances of the proposed system in monitoring the aforementioned parameters when compared to optical reference systems. The wearable system is able to well-match the trend in time of the neck movements (both flexion-extension and axial rotation) and to estimate mean and breath-by-breath respiratory frequency values with percentage errors ≤6.09% and ≤1.90%, during quiet breathing and tachypnea, respectively.

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Contactless Monitoring of Breathing Patterns and Respiratory Rate at the Pit of the Neck: A Single Camera Approach

Cited by 86 publications

References 28 publications

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

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

Breathing in Conversation

A Multi-Parametric Wearable System to Monitor Neck Movements and Respiratory Frequency of Computer Workers

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