Rationale: Better phenotypic descriptions are needed for chronic lung disease among surviving premature infants.
Objectives: The purpose of this study was to evaluate the potential usefulness of respiratory inductance plethysmography in characterizing respiratory system mechanics in preterm infants at 32 weeks postmenstrual age.
Methods: Respiratory inductance plethysmography was used to obtain the phase angle, Φ, to describe rib cage and abdominal dyssynchrony in 65 infants born between 23 and 28 weeks gestation, all of whom were studied at 32 weeks postmenstrual age. Up to 60 breaths were evaluated for each subject. Sources of intrasubject variability in Φ arising from our methods were explored using mechanical models and by evaluating interobserver agreement.
Measurements And Main Results: The mean Φ from infants ranged from 5.8-162.9°, with intrasubject coefficients of variation ranging from 11-123%. On the basis of the mechanical model studies, respiratory inductance plethysmography recording and analysis software added <2.3% to the intrasubject variability in Φ. Potential inconsistencies in breaths selected could have contributed 8.1%, on average, to the total variability. The recording sessions captured 22.8 ± 9.1 minutes of quiet sleep, and enough breaths were counted to adequately characterize the range of Φ in the session.
Conclusion: Φ is quite variable during even short recording sessions among preterm infants sleeping quietly. The intrasubject variability described herein arises from the instability of the rib cage and abdominal phase relationship, not from the recording and analytical methods used. Despite the variability, Φ measurements allowed the majority (80%) of infants to be reliably categorized as having relatively synchronous or dyssynchronous breathing. Respiratory inductance plethysmography is easy to use and should prove useful in quantifying respiratory mechanics in multicenter studies of preterm infants.
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http://dx.doi.org/10.1513/AnnalsATS.201310-363OC | DOI Listing |
J Clin Med
December 2024
Division of Respiratory Medicine and Rheumatology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Yonago 683-8504, Japan.
: Continuous positive airway pressure (CPAP) is used to treat patients with obstructive sleep apnea (OSA) and has proven clinical efficacy for this condition. However, the objective method to determine the appropriate CPAP level for treatment is still unclear. Patients with OSA typically exhibit irregular respiratory efforts due to obstruction or narrowing of the upper airway during sleep.
View Article and Find Full Text PDFJ Clin Sleep Med
November 2024
Research and Development, Patient Monitoring, Medtronic, Technopole Centre, Edinburgh, UK.
Study Objectives: A non-intrusive sleep monitoring technology based on the data from a commercially available depth sensing camera has been utilized for respiratory monitoring and shown to have good performance in assessing respiratory rates across a range of rates. This non-contact, or , technology allows continuous respiratory monitoring without attaching probes to the patient. We have noticed a strikingly similar morphology between the touchless flow signal (NCM) and the flow signal derived using the chest and abdomen respiratory inductance plethysmography (RIP) bands.
View Article and Find Full Text PDFJMIR Mhealth Uhealth
August 2024
Surrey Sleep Research Centre, Guildford, United Kingdom.
Background: Longitudinal monitoring of vital signs provides a method for identifying changes to general health in an individual, particularly in older adults. The nocturnal sleep period provides a convenient opportunity to assess vital signs. Contactless technologies that can be embedded into the bedroom environment are unintrusive and burdenless and have the potential to enable seamless monitoring of vital signs.
View Article and Find Full Text PDFNat Sci Sleep
August 2024
Reykjavik University, School of Technology, Department of Computer Science, Reykjavik, Iceland.
Introduction: The field of automatic respiratory analysis focuses mainly on breath detection on signals such as audio recordings, or nasal flow measurement, which suffer from issues with background noise and other disturbances. Here we introduce a novel algorithm designed to isolate individual respiratory cycles on a thoracic respiratory inductance plethysmography signal using the non-invasive signal of the respiratory inductance plethysmography belts.
Purpose: The algorithm locates breaths using signal processing and statistical methods on the thoracic respiratory inductance plethysmography belt and enables the analysis of sleep data on an individual breath level.
Anesth Analg
August 2024
Department of Anesthesia, University of Utah, Salt Lake City, Utah.
Background: Ataxic breathing (AB) is a well-known manifestation of opioid effects in animals and humans, but is not routinely included in monitoring for opioid-induced respiratory depression (OIRD). We quantified AB in normal volunteers receiving increasing doses of remifentanil. We used a support vector machine (SVM) learning approach with features derived from a modified Poincaré plot.
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