Table 1 Details of datasets considered in this study.
From: Measurement of respiratory rate using wearable devices and applications to COVID-19 detection
Name of Dataset | Number of individuals | Demographics | Dates | Purpose |
|---|---|---|---|---|
Sleep study respiratory rate validation data set | 28 | Mean age: 48.9 yr (53.6% fem.) | Oct 17−Nov 6, 2019 & Mar 9−May 29, 2020 | To obtain respiratory rate ground truth data for validation of the algorithm. |
General population nocturnal respiratory rate data set | 10,000 | Ages 20−69 yr (50% fem.) | Nov 1−14, 2020 | To study respiratory rate variation with age and sex, to establish transverse benchmarks, and to study longitudinal variability. |
Longitudinal nocturnal respiratory rate data set from COVID-19 subjects | 3,236 | Mean age: 42.25 yr (77.6% fem.) | Feb 28−Nov 13, 2020 | To collect COVID-19 information from Fitbit users, including symptoms and dates. |
