
pmid: 28269059
In this paper we present a proof of concept for non-contact extraction of vital signs using RGB and thermal images obtained from a smart phone. Using our method, heart rate, respiratory rate and forehead temperature can be measured concurrently. Face detection and tracking is leveraged in order to allow natural motion of patients. Heart rate is estimated via processing of visible band RGB video using Eulerian Video Magnification technique. Respiratory rate and the temperature is measured using thermal video. Experiments conducted with 11 healthy subjects indicate that heart rate and respiration rate can be measured with 92 and 94 percent accuracy, respectively.
Adult, Male, Adolescent, Video Recording, Thermometry, Middle Aged, Body Temperature, Motion, Young Adult, Respiratory Rate, Heart Rate, Thermography, Face, Humans, Female, Smartphone, Algorithms, Monitoring, Physiologic
Adult, Male, Adolescent, Video Recording, Thermometry, Middle Aged, Body Temperature, Motion, Young Adult, Respiratory Rate, Heart Rate, Thermography, Face, Humans, Female, Smartphone, Algorithms, Monitoring, Physiologic
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 22 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
