Purpose: This study aimed to design a device to monitor mouth puffing phenomena of patients with obstructive sleep apnea when mouth-taped and to employ video recording and computing algorithms to double-check and verify the efficacy of the device.
Methods: A mouth puffing detector (MPD) was developed, and a video camera was set to record the patients' mouth puffing phenomena in order to make ensure the data obtained from the device was appropriate and valid. Ten patients were recruited and had polysomnography. A program written in Python was used to investigate the efficacy of the program's algorithms and the relationship between variables in polysomnography (sleep stage, apnea-hypopnea index or AHI, oxygen-related variables) and mouth puffing signals (MPSs). The video recording was used to validate the program. Bland-Altman plot, correlations, independent sample t-test, and ANOVA were analyzed by SPSS 24.0.
Results: Patients were found to mouth puff when they sleep with their mouths taped. An MPD was able to detect the signals of mouth puffing. Mouth puffing signals were noted and categorized into four types of MPSs by our algorithms. MPSs were found to be significantly related to relative OSA indices. When all participants' data were divided into minutes, intermittent mouth puffing (IMP) was found to be significantly different from non-mouth puffing in AHI, oxygen desaturation index (ODI), and time of oxygen saturation under 90% (T90) (AHI: 0.75 vs. 0.31; ODI: 0.75 vs. 0.30; T90: 5.52 vs. 1.25; p < 0.001). Participants with severe OSA showed a higher IMP percentage compared to participants with mild to moderate OSA and the control group (severe: 38%, mild-to-moderate: 65%, control: 95%; p < 0.001).
Conclusions: This study established a simple way to detect mouth puffing phenomena when patients were mouth-taped during sleep, and the signals were classified into four types of MPSs. We propose that MPSs obtained from patients wearing the MPD can be used as a complement for clinicians to evaluate OSA.
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http://dx.doi.org/10.1007/s11325-022-02588-0 | DOI Listing |
World J Clin Cases
December 2024
Department of Dentistry and Oral Surgery, Sapporo Tokushukai Hospital, Sapporo 0040041, Hokkaido, Japan.
Background: Pneumoparotid is a rare disease associated with retrograde airflow into the ductal system. There is no established treatment for this disease, which has no known complications. Mouth puffing and playing wind instruments are known to be the causes of this disease.
View Article and Find Full Text PDFOtolaryngol Head Neck Surg
November 2024
Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan (ROC).
Objective: Obstructive sleep apnea (OSA) is a prevalent disorder, with oral breathing influencing its severity. Expiratory velopharyngeal obstruction (EVO), observed during drug-induced sleep endoscopy (DISE), may contribute to oral breathing in OSA patients. EVO results in obstruction between the pharynx and nasal cavity during expiration.
View Article and Find Full Text PDFTob Control
July 2024
Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
Radiol Imaging Cancer
May 2024
From the Department of Radiology and Nuclear Medicine, Rush University Medical Center, 1653 W Congress Pkwy, Chicago, IL 60661.
The "puffed cheek" technique is routinely performed during CT neck studies in patients with suspected oral cavity cancers. The insufflation of air within the oral vestibule helps in the detection of small buccal mucosal lesions, with better delineation of lesion origin, depth, and extent of spread. The pitfalls associated with this technique are often underrecognized and poorly understood.
View Article and Find Full Text PDFInhal Toxicol
April 2024
Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY, USA.
Objective: Lack of biomimicry in geometry and flow conditions of emissions systems for analytical testing and biological exposure has led to fundamental limitations, including a poor understanding of dose delivered to specific airway locations. This work characterizes mass distribution of a JUUL® brand e-cigarette in a Biomimetic Aerosol Exposure System (BAES).
Materials And Methods: A combination of mass balance, direct measurements, and inferences based on direct measurements were used to characterize regional and local dose as a function of system flow path configuration and emissions topography profile.
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