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Assessment of Oral and Nasal Breathing With Sensors Analyzing Algorithm

Agreement Between Accelerometric and Acoustic Signals Utilizing Algorithm and Body Plethysmograph in Detecting Nasal and Oral Specific Airway Resistance

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05869071
Enrollment
20
Registered
2023-05-22
Start date
2023-05-23
Completion date
2024-06-30
Last updated
2023-11-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Allergic Rhinitis, Asthma, COPD, Nasal Polyps

Brief summary

The goal of this observational study is to learn about the agreement between sensors analyzing algorithm and body plethysmography in measuring oral and nasal breathing in healthy adults, and in patients with chronic rhinosinusitis, asthma and chronic obstructive pulmonary disease. The main question it aims to answer is: • Is the algorithm-based method accurate enough in analyzing respiratory obstruction as compared to body plethysmography (reference method)? Participants will perform a short breathing protocol (oral and nasal breathing with different masks) during which time their breathing is monitored with both methods.

Detailed description

The data collected in the Patient Registry include: Parameters on general health, like previous illnesses, medications, height, weight, answers to symptoms queries and queries on quality of life (Asthma test, COPD test, Sinonasal Outcome Test 22) as well as results from the examined medical devices (body plethysmography, spirometry, sensors analyzing algorithm).

Interventions

DEVICESensor analyzing software (own development)

A software the research group developed. Analyzes acoustic and accelerator signals to measure airway obstruction.

DEVICEBody plethysmograph

Body plethysmograph measures specific airway resistance

Sponsors

Oulu University Hospital
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* 5 healthy and asymptomatic volunteers with regard to lungs and nose * 5 patients with allergic rhinitis or nasal polyps (diagnosis of allergic rhinitis confirmed by a PRICK test or specific Ig E antibody tests and Nasal polyposis diagnosed by an ENT specialist, with endoscopy) * 5 patients with asthma (diagnosis of asthma based on peak expiratory flow (PEF) monitoring, spirometry, or other appropriate objective measurement methods performed by a pulmonologist * 5 patients with Chronic Obstructive Pumonary Disease (diagnosis of COPD based on spirometry (post-bronchodilator Forced Expiratory Volume/ Forced Vital Capacity (FEV1/FVC) ratio below 0.70)

Exclusion criteria

* Pregnancy. * History of surgical procedures in the chest, larynx, throat (excluding tonsillectomy), or nasal area. * Recent illnesses or surgeries that pose a risk to the patient or prevent proper measurement (common contraindications for spirometry): * Recent (\<1 month) myocardial infarction. * Severe coronary artery disease with easily triggered symptoms. * Cerebral artery aneurysm. * Recent brain (\<4 weeks) or eye (\<1 week) surgery. * Severe cardiac arrhythmias. * Pulmonary tuberculosis. * Pneumothorax * Immediate postoperative period of lung surgery (\<1 day). * Dementia or confusion.

Design outcomes

Primary

MeasureTime frameDescription
Bias for oral breathing (estimate and 95% confidence intervals)5 minutesBias between specific airway resistances given by analyzing software and plethysmograph
Bias for nasal breathing (estimate and 95% confidence intervals)5 minutesBias between specific airway resistance given by analyzing software and plethysmograph
Limits of agreement for oral breathing5 minutesLimits of agreement between specific airway resistance given by analyzing software and plethysmograph
Limits of agreement for nasal breathing5 minutesLimits of agreement between specific airway resistance given by analyzing software and plethysmograph

Secondary

MeasureTime frameDescription
Correlation between plethysmograph and subjective sensation of oral breathing obstruction5 minutesCorrelation between specific airway resistance and graded (6 steps) subjective sensation
Correlation between plethysmograph and subjective sensation of nasal breathing obstruction5 minutesCorrelation between specific airway resistance and graded (6 steps) subjective sensation
Reliability of analyzing software measurement5 minutesMeasurer's opinion of the reliability of the measurement (4 steps)
Reliability of plethysmograph5 minutesMeasurer's opinion of the reliability of the measurement (4 steps)
Mean error for oral breathing (estimate and 95% confidence intervals)5 minutesMean error between specific airway resistance given by analyzing software and plethysmograph
Convenience of plethysmography5 minutesMetrizable's opinion of the convenience (6 steps)
Harms of analyzing software method5 minutesFrequency of harmful events related to measurement
Harms of plethysmography5 minutesFrequency of harmful events related to measurement
Convenience of analyzing software method5 minutesMetrizable's opinion of the convenience (6 steps)
Mean error for nasal breathing (estimate and 95% confidence intervals)5 minutesMean error between specific airway resistance given by analyzing software and plethysmograph
Correlation between analyzing software and subjective sensation of oral breathing obstruction5 minutesCorrelation between specific airway resistance and graded (6 steps) subjective sensation
Correlation between analyzing software and subjective sensation of nasal breathing obstruction5 minutesCorrelation between specific airway resistance and graded (6 steps) subjective sensation

Countries

Finland

Contacts

Primary ContactPaulus Tokola, MD
paulus.tokola@ppshp.fi+35883152011
Backup ContactOlli-Pekka Alho, Prof
olli-pekka.alho@oulu.fi+35883152011

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026