US 12,249,250 B1
System and method for extended spectrum ultrasound training using animate and inanimate training objects
Eric Savitsky, Malibu, CA (US); Gabriele Nataneli, Los Angeles, CA (US); and Dan Katz, Los Angeles, CA (US)
Assigned to THE REGENTS OF THE UNIVERSITY OF CALIFORNIA, Oakland, CA (US)
Filed by Eric Savitsky, Malibu, CA (US); Gabriele Nataneli, Los Angeles, CA (US); and Dan Katz, Los Angeles, CA (US)
Filed on Feb. 27, 2023, as Appl. No. 18/174,794.
Application 18/174,794 is a continuation of application No. 17/726,414, filed on Apr. 21, 2022, granted, now 11,594,150.
Application 17/726,414 is a continuation of application No. 16/538,317, filed on Aug. 12, 2019, granted, now 11,315,439, issued on Apr. 26, 2022.
Application 16/538,317 is a continuation of application No. 14/548,210, filed on Nov. 19, 2014, granted, now 10,380,919, issued on Aug. 13, 2019.
Claims priority of provisional application 61/907,276, filed on Nov. 21, 2013.
Int. Cl. G09B 23/28 (2006.01)
CPC G09B 23/286 (2013.01) 20 Claims
OG exemplary drawing
 
1. A system for extended spectrum ultrasound training, comprising:
a plurality of tags;
a sensor assembly comprising:
a reader for identifying at least one of the plurality of tags; and
a sensor for measuring an angular orientation of the sensor assembly;
a computation engine, configured to:
receive data from the sensor assembly, wherein the data comprises the angular orientation of the sensor assembly and an identification of the at least one of the plurality of tags;
determine a location of the at least one of the plurality of tags based on a set of coordinates associated with the at least one of the plurality of tags;
generate and display a virtual ultrasound based on an orientation corresponding to the angular orientation of the sensor assembly and the location of the at least one of the plurality of tags identified by the sensor assembly.