The respiratory rate (RR) is an important sign for predicting various
critical clinical events. Numerous studies have proposed different methods to
estimate RR. However, those researches conducted experiments in a controlled
environment. Therefore, th...
The respiratory rate (RR) is an important sign for predicting various
critical clinical events. Numerous studies have proposed different methods to
estimate RR. However, those researches conducted experiments in a controlled
environment. Therefore, this study aims to measure RR by using nasal and
mouth breath sound recordings from a microphone placed inside face masks
during experiments in structured and complex environments. In addition, 3- ix -
types of mask such as surgical, KF94, and reusable masks were used to
conduct experiments in 4 environments including a room, a bus, a street, and
a subway. The participants were instructed to inhale at each beeping sound
and exhale before the next beep occurred at a metronome rate produced by a
smartphone application ranging from 0.2 to 0.4 (Hz) which resembles 12 to 24
(breaths/min). Thus, during the experiment, the participants were required to
wear the proposed masks and earphones to listen to the beeping sounds. By
our observation, the non-parametric periodogram method seems to have better
performance for RR estimation. Therefore, the Welch periodogram method was
used to estimate the power spectral density (PSD) of the breathing signal
envelope and measure a RR by finding the peak of PSD. We collected data
from 10 healthy participants for experiments. The first experiment by only
breath through the nose achieved a median and IQR of accuracy and
repeatability of 0% for all cases. The second experiment by only breath
through the mouth yielded a median and IQR of accuracy and repeatability of
0% for most cases, only IQR of repeatability was increased in the train
environment at 0.2 Hz. Finally, the last experiment which breathed 30s through
the nose and 30s through the mouth obtained 0% in the median of accuracy
and repeatability for every case. However, the IQR of repeatability was
increased in a bus and a train. In short, most experiments achieved a median
and IQR of accuracy and repeatability as low as 0%. Furthermore, the duration
of the signal that was used for RR estimation is only 20 seconds which is a
real-time estimation and has been considered by a majority of previous
studies.