Spirometry using facemask versus conventional tube in patients with neuromuscular disorders

Abdelgawad, Taha Taha; Abumossalam, Ahmed Mohammed; Abdalla, Dina Abouelkheir; Elsayed, Mohamed Elsayed Mahmoud

doi:10.1016/j.ejcdt.2017.08.006

Cited by 2 publications

(1 citation statement)

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“…However, with a mouthpiece, the user’s nose needs to be closed with a clip so that air will only exchange through the mouth. As an alternative, a complete face cover with tubing can also clinically replace a mouthpiece to direct airflow into the spirometers [ 19 , 20 ].…”

Section: Background and State-of-the-artmentioning

confidence: 99%

Accurate Spirometry with Integrated Barometric Sensors in Face-Worn Garments

Zhou

Costa

Lukowicz

2020

Sensors

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Cardiorespiratory (CR) signals are crucial vital signs for fitness condition tracking, medical diagnosis, and athlete performance evaluation. Monitoring such signals in real-life settings is among the most widespread applications of wearable computing. We investigate how miniaturized barometers can be used to perform accurate spirometry in a wearable system that is built on off-the-shelf training masks often used by athletes as a training aid. We perform an evaluation where differential barometric pressure sensors are compared concurrently with a digital spirometer, during an experimental setting of clinical forced vital capacity (FVC) test procedures with 20 participants. The relationship between the two instruments is derived by mathematical modeling first, then by various regression methods from experiment data. The results show that the error of FVC vital values between the two instruments can be as low as 2∼3%. Beyond clinical tests, the method can also measure continuous tidal breathing air volumes with a 1∼3% error margin. Overall, we conclude that barometers with millimeter footprints embedded in face mask apparel can perform similarly to a digital spirometer to monitor breathing airflow and volume in pulmonary function tests.

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Section: Background and State-of-the-artmentioning

confidence: 99%