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.
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).
Study Type
OBSERVATIONAL
Enrollment
20
A software the research group developed. Analyzes acoustic and accelerator signals to measure airway obstruction.
Body plethysmograph measures specific airway resistance
Oulu University Hospital
Oulu, Finland
RECRUITINGBias for oral breathing (estimate and 95% confidence intervals)
Bias between specific airway resistances given by analyzing software and plethysmograph
Time frame: 5 minutes
Bias for nasal breathing (estimate and 95% confidence intervals)
Bias between specific airway resistance given by analyzing software and plethysmograph
Time frame: 5 minutes
Limits of agreement for oral breathing
Limits of agreement between specific airway resistance given by analyzing software and plethysmograph
Time frame: 5 minutes
Limits of agreement for nasal breathing
Limits of agreement between specific airway resistance given by analyzing software and plethysmograph
Time frame: 5 minutes
Mean error for oral breathing (estimate and 95% confidence intervals)
Mean error between specific airway resistance given by analyzing software and plethysmograph
Time frame: 5 minutes
Mean error for nasal breathing (estimate and 95% confidence intervals)
Mean error between specific airway resistance given by analyzing software and plethysmograph
Time frame: 5 minutes
Correlation between analyzing software and subjective sensation of oral breathing obstruction
Correlation between specific airway resistance and graded (6 steps) subjective sensation
Time frame: 5 minutes
Correlation between analyzing software and subjective sensation of nasal breathing obstruction
Correlation between specific airway resistance and graded (6 steps) subjective sensation
Time frame: 5 minutes
Correlation between plethysmograph and subjective sensation of oral breathing obstruction
Correlation between specific airway resistance and graded (6 steps) subjective sensation
Time frame: 5 minutes
Correlation between plethysmograph and subjective sensation of nasal breathing obstruction
Correlation between specific airway resistance and graded (6 steps) subjective sensation
Time frame: 5 minutes
Reliability of analyzing software measurement
Measurer's opinion of the reliability of the measurement (4 steps)
Time frame: 5 minutes
Reliability of plethysmograph
Measurer's opinion of the reliability of the measurement (4 steps)
Time frame: 5 minutes
Convenience of analyzing software method
Metrizable's opinion of the convenience (6 steps)
Time frame: 5 minutes
Convenience of plethysmography
Metrizable's opinion of the convenience (6 steps)
Time frame: 5 minutes
Harms of analyzing software method
Frequency of harmful events related to measurement
Time frame: 5 minutes
Harms of plethysmography
Frequency of harmful events related to measurement
Time frame: 5 minutes
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