Key result
A non-contact vision-based cardiopulmonary monitoring system achieved a mean percentage error of 3.4% for respiratory rate and 5.0% for heart rate compared to polysomnography across five sleeping positions.
Why the study?
Does a noncontact computer vision-based method accurately estimate respiratory and heart rates compared to polysomnography in healthy participants during simulated sleep?
Population
17 healthy participants, mean age 29.9 years, BMI 22.4 kg/m2, in five different simulated sleep positions.
Comparison
Computer vision-based method using an infrared… vs Polysomnography recordings.
Follow-up
average 5m29s per position
Authors
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Supports feasibility of contactless monitoring in sleep; leaves open clinical validation in apnea patients.
Observational (n=17)
No
Does a noncontact computer vision-based method accurately estimate respiratory and heart rates compared to polysomnography in healthy participants during simulated sleep?
A noncontact computer vision-based method using an infrared camera can accurately estimate respiratory and heart rates in various sleeping positions, providing a potential unobtrusive solution for sleep apnea monitoring.
Li et al. (2016) conducted an observational in Healthy (n=17). Non-contact vision-based cardiopulmonary monitoring vs. Polysomnography (PSG) was evaluated on Mean percentage error (MPE) for respiratory rate. A non-contact vision-based cardiopulmonary monitoring system achieved a mean percentage error of 3.4% for respiratory rate and 5.0% for heart rate compared to polysomnography across five sleeping positions.
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