Non Contact Measurement of Vital Signs
| Status: | Recruiting |
|---|---|
| Conditions: | Cardiology |
| Therapuetic Areas: | Cardiology / Vascular Diseases |
| Healthy: | No |
| Age Range: | Any |
| Updated: | 6/3/2018 |
| Start Date: | November 2014 |
| End Date: | November 2019 |
| Contact: | Keita Ikeda, PhD |
| Email: | keita.ikeda@virginia.edu |
| Phone: | 9195931174 |
The purpose of this study is to test the accuracy of a web cam-based biomedical device
developed at UVA (not FDA-approved) that is designed to measure heart rate, respiratory rate,
and oxygen saturation without requiring any patient contact. One potential application of
such a device would be in the field of infant monitoring allowing parents (and physicians) to
monitor the vital signs of infants continuously. The investigators therefore propose to
record the heart rate, respiratory rate, and oxygen saturation of 100 infants (defined as
children aged 12 months or less) who are receiving continuous oxygen, heart rate, and
respiratory rate monitoring with a traditional vital signs monitor. The relationship between
"non-contact" and "gold standard" (GE monitoring equipment) heart rate, respiratory rate, and
oxygen saturation will be analyzed using regression and limits of agreement analysis.
developed at UVA (not FDA-approved) that is designed to measure heart rate, respiratory rate,
and oxygen saturation without requiring any patient contact. One potential application of
such a device would be in the field of infant monitoring allowing parents (and physicians) to
monitor the vital signs of infants continuously. The investigators therefore propose to
record the heart rate, respiratory rate, and oxygen saturation of 100 infants (defined as
children aged 12 months or less) who are receiving continuous oxygen, heart rate, and
respiratory rate monitoring with a traditional vital signs monitor. The relationship between
"non-contact" and "gold standard" (GE monitoring equipment) heart rate, respiratory rate, and
oxygen saturation will be analyzed using regression and limits of agreement analysis.
While multiple investigators have attempted to develop non-contact pulse oximeters, none of
these devices have achieved accuracy sufficient for clinical use, no such devices have been
approved by the Food and Drug Administration, and there are currently no such devices on the
market in the United States. While these devices are typically able to measure the heart and
respiratory rates with some accuracy,v the accurate calculation of oxygen saturation from the
arterial pulse (SpO2) using a "non-contact" reflectance oximetry probe is complicated by the
interference of ambient light, patient temperature changes, as well as the inherent
limitations of the sensing devices currently utilized. Poh et al have been somewhat
successful at calculating the heart rate from a video recording using independent component
analysis. However, Poh's method does not calculate instantaneous rates and requires a facial
recognition component to track the facial orientation in the image, is not capable of
measuring respiratory rate, and relies primarily on analysis of reflected green light (which
cannot be used for the calculation of oxygen saturation). Our work involves modifying a
commercial off the shelf (COTS) 3-channel (red, green, blue) CCD (charge coupled device) or
CMOS (complementary metal oxide semiconductor) camera in the form of a web cam to detect near
infrared and infrared spectrum radiation and applying an algorithm based fast Fourier
transformation (FFT) of individual red pixel intensity to detect motion and color changes.
Because our algorithm analyzes the first derivative of red pixel intensity, a face-tracking
component is unnecessary, and we are able to calculate the heart rate and the respiratory
rate in real time.
these devices have achieved accuracy sufficient for clinical use, no such devices have been
approved by the Food and Drug Administration, and there are currently no such devices on the
market in the United States. While these devices are typically able to measure the heart and
respiratory rates with some accuracy,v the accurate calculation of oxygen saturation from the
arterial pulse (SpO2) using a "non-contact" reflectance oximetry probe is complicated by the
interference of ambient light, patient temperature changes, as well as the inherent
limitations of the sensing devices currently utilized. Poh et al have been somewhat
successful at calculating the heart rate from a video recording using independent component
analysis. However, Poh's method does not calculate instantaneous rates and requires a facial
recognition component to track the facial orientation in the image, is not capable of
measuring respiratory rate, and relies primarily on analysis of reflected green light (which
cannot be used for the calculation of oxygen saturation). Our work involves modifying a
commercial off the shelf (COTS) 3-channel (red, green, blue) CCD (charge coupled device) or
CMOS (complementary metal oxide semiconductor) camera in the form of a web cam to detect near
infrared and infrared spectrum radiation and applying an algorithm based fast Fourier
transformation (FFT) of individual red pixel intensity to detect motion and color changes.
Because our algorithm analyzes the first derivative of red pixel intensity, a face-tracking
component is unnecessary, and we are able to calculate the heart rate and the respiratory
rate in real time.
Inclusion Criteria:
- Infant aged 0 - 12 months
- Receiving care at UVA
- Heart rate, respiratory rate, and oxygenation (SpO2) being monitored continuously
Exclusion Criteria:
- Greater than 12 months of age
- Not receiving continuous monitoring of heart rate, respiratory rate, and oxygenation
(SpO2) Intubated and/or mechanically ventilated History of retinopathy of prematurity
Inability to directly visualize the child's head
- Family unwilling to consent Parents less than 18 years of age
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