Medical Training with Physical-Virtual Patient Bed
- Technology Benefits
- Cost-effective Visually realistic Repeatable and consistent Customizable behavior Interactive simulation
- Technology Application
- Medical simulation centers at universities, hospitals, and military training facilities
- Detailed Technology Description
- The system includes a translucent or transparent patient shell secured to a patient bed, which is illuminated from below by one or more projectors in the bed system. These projectors are adapted to render dynamic patient imagery onto the underneath of the shell so that the image appears on the surface of the shell in a realistic manner. One or more computing units including memory and a processor unit communicate with the projectors and other sensory devices to provide the interactive simulation. Sensory devices include, but are not limited to: optical touch sensing devices, targeted temperature feedback devices, audio-based tactile sense of pulse devices, and spatial audio components with signal processing device to simulate vital signs. The system further includes interchangeable human shells and parts of human shells representing body parts. By using these shells, there is no need to change out the expensive and sensitive components that remain fixed in the patient bed system.
- *Abstract
-
The Physical-Virtual Patient Bed System simulates a human patient in a hospital bed with the ability to change appearance (race and various medical symptoms), alter size (child or adult), and mimic critical physiological signals. The system may be used for a range of civilian and military medical training.Medical simulation and training centers often make use of stand-ins or surrogates for patients, including human actors who pretend to be sick or sophisticated robotic human mannequins called ΓÇ£human patient simulatorsΓÇØ (HPS). Humans do not always offer consistency, and HPS cannot change appearance or exhibit human emotions. Because of deficiencies in the current technology, there is a need for this type of customizable system.
- *Principal Investigator
-
Name: Kelly Allfred
Department:
Name: Dr. Karen Aroian
Department:
Name: Dr. Arjun Nagendran
Department:
Name: Remo Pillat
Department:
Name: Dr. Steven Talbert
Department:
Name: Patricia Weinstein
Department:
Name: Dr. Greg Welch
Department:
- Country/Region
- USA

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