Accuracy of optoelectronic plethysmography in childhood exercise-induced asthma

Feitosa, Larissa Andrade de Sá; Britto, Murilo Carlos Amorim de; Aliverti, Andréa; Noronha, Jéssica Brito; Andrade, Armèle Dornelas de

doi:10.1080/02770903.2018.1424196

Cited by 4 publications

(4 citation statements)

References 35 publications

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“…This marker-based method is also referred to in the literature as opto-electronic plethysmography (OEP) [20] and is shown in Figure 2a. The number of markers is not fixed and can vary from 5 [21] to 89 [22] markers. Marker positioning depends on the area of the thorax being observed and is not limited to one side [23].…”

Section: Methods Of Depth Measurementmentioning

confidence: 99%

“…By applying markers, marker-based methods make a manual selection of an ROI obsolete. The markers and thus elevation and depression of the chest are recorded dynamically [21,22,26,27,32,46,47]. In contrast, an automatic selection of an ROI based on key points is done by skeletonization in Soleimani et al 2015.…”

Section: Roi-selectionmentioning

confidence: 99%

“…The parameters are collected on the basis of all measurement signals. Another OEP System is used by Feitosa et al 2019 [22], with BTS Bioengineering (Milanese, Italy) without any further scaling, or with OptiTrack Prime 17W (NaturalPoint, Inc., Corvallis, OR, USA) [27].…”

Section: Signal Reconstructionmentioning

confidence: 99%

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Depth-Based Measurement of Respiratory Volumes: A Review

Wichum

Wiede

Seidl

2022

Sensors

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Depth-based plethysmography (DPG) for the measurement of respiratory parameters is a mobile and cost-effective alternative to spirometry and body plethysmography. In addition, natural breathing can be measured without a mouthpiece, and breathing mechanics can be visualized. This paper aims at showing further improvements for DPG by analyzing recent developments regarding the individual components of a DPG measurement. Starting from the advantages and application scenarios, measurement scenarios and recording devices, selection algorithms and location of a region of interest (ROI) on the upper body, signal processing steps, models for error minimization with a reference measurement device, and final evaluation procedures are presented and discussed. It is shown that ROI selection has an impact on signal quality. Adaptive methods and dynamic referencing of body points to select the ROI can allow more accurate placement and thus lead to better signal quality. Multiple different ROIs can be used to assess breathing mechanics and distinguish patient groups. Signal acquisition can be performed quickly using arithmetic calculations and is not inferior to complex 3D reconstruction algorithms. It is shown that linear models provide a good approximation of the signal. However, further dependencies, such as personal characteristics, may lead to non-linear models in the future. Finally, it is pointed out to focus developments with respect to single-camera systems and to focus on independence from an individual calibration in the evaluation.

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Section: Methods Of Depth Measurementmentioning

confidence: 99%

Section: Roi-selectionmentioning

confidence: 99%

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Depth-Based Measurement of Respiratory Volumes: A Review

Wichum

Wiede

Seidl

2022

Sensors

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“…Future research on these studies can enhance the understanding of these parameters, the monitoring domains, and the relations to clinical asthma outcomes. On the other hand, some hospital-based studies may provide new diagnostic opportunities such as bioimpedance [412], airway resistance during tidal breathing [413], forced oscillation technique [414], exhaled breath profiles and temperatures [415], diaphragm electromyography [416], and plethysmography variability [417][418][419]. Future research is needed to specifically review which hospital-based monitoring technologies may be beneficial for the home assessment of pediatric asthma.…”

Section: Future Perspectivesmentioning

confidence: 99%

eHealth Technologies for Monitoring Pediatric Asthma at Home: Scoping Review

Kamp¹,

Hengeveld²,

Brusse-Keizer³

et al. 2023

J Med Internet Res

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Background eHealth monitoring technologies offer opportunities to more objectively assess symptoms when they appear in daily life. Asthma is the most common chronic disease in childhood with an episodic course, requiring close follow-up of pediatric asthma control to identify disease deterioration, prevent exacerbations, and enhance quality of life. eHealth technologies in pediatric asthma care show promising results regarding feasibility, acceptability, and asthma-related health outcomes. However, broad systematic evaluations of eHealth technologies in pediatric asthma are lacking. Objective The objective of this scoping review was to identify the types and applications of eHealth technologies for monitoring and treatment in pediatric asthma and explore which monitoring domains show the most relevance or potential for future research. Methods A scoping review was conducted using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. A systematic and comprehensive search was performed on English papers that investigated the development, validation, or application of eHealth technologies for home monitoring or treatment of pediatric asthma in the following databases: PubMed, Cochrane Library, IEEE, Scopus, CINAHL, PsycINFO, and ACM Digital Library. Two authors independently assessed eligibility and extracted data. Data were presented by a descriptive analysis of characteristics and a narrative report for each eHealth domain. Results The review included 370 manuscripts. The following 10 monitoring domains were identified: air quality, airway inflammation markers, lung function, physical activity, sleep, audiovisual, other physiological measurements, questionnaires, medication monitoring, and digital environment (ie, digital platforms, applications, websites, and software tools to monitor or support monitoring). Rising numbers of studies were seen, and the numbers accelerated in the last few years throughout most domains, especially medication monitoring and digital environment. Limited studies (35/370, 9.5%) of multiparameter monitoring strategies, using three or more domains, were found. The number of monitoring validation studies remained stable, while development and intervention studies increased. Intervention outcomes seemed to indicate the noninferiority and potential superiority of eHealth monitoring in pediatric asthma. Conclusions This systematic scoping review provides a unique overview of eHealth pediatric asthma monitoring studies, and it revealed that eHealth research takes place throughout different monitoring domains using different approaches. The outcomes of the review showed the potency for efficacy of most monitoring domains (especially the domains of medication monitoring, lung function, and digital environment). Future studies could focus on modifying potentially relevant hospital-based diagnostics for the home setting to investigate potential beneficial effects and focus on combining home-monitoring domains to facilitate multiparameter decision-making and personalized clinical decision support.

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