System and method for extended spectrum ultrasound training using animate and inanimate training objects

Information

  • Patent Grant
  • 11594150
  • Patent Number
    11,594,150
  • Date Filed
    Thursday, April 21, 2022
    2 years ago
  • Date Issued
    Tuesday, February 28, 2023
    a year ago
Abstract
A system and method for extended spectrum ultrasound training using tags placed on animate and/or inanimate objects. The system combines the use of tags, a reader, and a 3-DOF motion tracker to train a user in finding image windows and optimal image views in an ultrasound simulation environment.
Description
TECHNICAL FIELD

This invention relates to extending the capabilities of ultrasound training simulation to support traditional modalities based on animate (e.g., live human model) and inanimate (e.g., training mannequins) objects.


BACKGROUND

The acquisition of ultrasound skills requires ability of finding an image window (i.e., placing the ultrasound transducer over a site of interest that also enables acoustic sound wave transmission towards the structure of interest). Upon finding an image window, the operator must acquire an optimal view. This typically involves rotation of the transducer around a fixed axis or point. Both of these skills require practice and the development of psychomotor skills that are married to didactic instruction and an understanding of underlying anatomy. Therefore, an effective tool for learning ultrasound must allow the user to practice both rotational and translational movements of the ultrasound probe. This invention introduces a low-cost solution that allows users to practice the skills of image window and optimal view acquisition in a simulated environment.


Methods of ultrasound simulation have been developed that force trainees to both locate an image window and subsequently find an optimal image view. These methods rely upon complex six degrees-of-freedom (6-DOF) motion tracking technologies coupled with inanimate mannequins. Issues of calibration, cost, interference, and ease-of-use issues make 6-DOF ultrasound simulations expensive and cumbersome. Many institutions and individuals who wish to teach or learn ultrasonography do not have access to expensive training mannequins equipped with 6-DOF motion sensing technology.


For the foregoing reasons there is a need for a more accessible system and method for ultrasound simulation that does not require expensive 6-DOF motion sensing technology.


SUMMARY

The present invention is directed to a system and method of ultrasound training that uses Near Field Communication (NFC) tags or similar radio frequency tags that may be placed on animate or inanimate models to define desired locations over the extent of the body that are linked to pre-selected image windows. Trainees use an NFC reader coupled with a rotational 3-DOF motion tracker to manipulate a virtual ultrasound probe. Ultrasound simulation software displays a graphical user interface, a virtual body, the virtual ultrasound probe, and an ultrasound image. The virtual ultrasound probe and ultrasound image continuously update based on the manipulation of the reader and the 3-DOF motion tracker. In this way trainees may train in finding image windows and optimal image views.





BRIEF DESCRIPTION OF DRAWINGS


FIG. 1 shows an ultrasound simulation display in accordance with embodiments of the present disclosure;



FIG. 2 shows a perspective view of a person training on an animate training object in accordance with embodiments of the present disclosure;



FIG. 3 shows a perspective view of a person training on an inanimate training mannequin in accordance with embodiments of the present disclosure;



FIG. 4 shows a perspective view of a person training on an inanimate training object in accordance with embodiments of the present disclosure;



FIG. 5 shows a side view of a tag assembly in accordance with embodiments of the present disclosure;



FIG. 6A shows a top view of a first layer of a tag assembly in accordance with embodiments of the present disclosure;



FIG. 6B shows a top view of a second layer of a tag assembly in accordance with embodiments of the present disclosure;



FIG. 6C shows a top view of a third layer of a tag assembly in accordance with embodiments of the present disclosure;



FIG. 7 shows a high level block diagram of a sensor assembly in accordance with embodiments of the present disclosure; and



FIG. 8 shows a high level block diagram of a computing device in accordance with embodiments of the present disclosure.





DETAILED DESCRIPTION OF THE INVENTION

The detailed description set forth below in connection with the appended drawings is intended as a description of presently-preferred embodiments of the invention and is not intended to represent the only forms in which the present invention may be constructed or utilized. The description sets forth the functions and the sequence of steps for constructing and operating the invention in connection with the illustrated embodiments. It is to be understood, however, that the same or equivalent functions and sequences may be accomplished by different embodiments that are also intended to be encompassed within the spirit and scope of the invention and claims.


It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first gesture could be termed a second gesture, and, similarly, a second gesture could be termed a first gesture, without departing from the scope of the present invention.


The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the description of the invention and the appended claims, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term “and/or” as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.


The term 6-DOF means six degrees of freedom and refers to the freedom of movement of a rigid body in three-dimensional space. Specifically, the body is free to move in three translational degrees of forward/back, up/down, left/right, and three rotational degrees of pitch, yaw, and roll. The term rotational 3-DOF refers to the pitch, yaw, and roll.


The term tag is used herein to refer to both transponders and beacons. Generally, NFC, RFID, and other types of passive tags are referred to transponders, and active tags such as ones using Bluetooth Low Energy are referred to as beacons.


The term reader is used to refer to the device that emits the query signal to detect the ID of the tag.


A preferred embodiment of the extended-spectrum ultrasound simulation system comprises:

    • an animate or inanimate training object 204, 302, or 402 that serves as a scanning surface;
    • a set of labeled tags 202 that contain the requisite hardware to respond to queries from a reader;
    • a reader that is compatible with the available collection of tags 202;
    • a rotational 3-DOF motion tracker to control the orientation of the scanning plane in an ultrasound simulator;
    • a component to relay information from the motion tracker and reader to the computation engine;
    • an ultrasound simulator technology that runs on the computation engine and provides a training environment for teaching how to select a correct image window and acquire an optimal view;
    • A virtual body 108 that serves as a simulated counterpart to the animate or inanimate training object with affixed tags 202; and
    • a tool to define a mapping between tags 202 and positions on the virtual body 108.


Embodiments of the ultrasound training method involve providing the hardware and software of the extended-spectrum ultrasound simulation system and directing the trainee 206 in the use of the system. This method would assist a trainee 206 in acquiring the skills of finding an image window and an optimal image view. The method may comprise a setup step in which the trainee 206 places tags 202 on an animate or inanimate training object. After the setup step, the trainee 206 may begin the simulation, which involves moving the reader and motion tracker, while viewing on a display 100 a virtual body 108, virtual ultrasound probe 110, and a simulated ultrasound 102, as depicted in FIG. 1.


As discussed, the tags 202 may be used with animate or inanimate models/objects. In some embodiments, the animate training model 204 is a live human being, as shown in FIG. 2. In some embodiments, the inanimate training models are mannequins 302 of a human being or a portion of a human being, as shown in FIG. 3. In some embodiments, the inanimate object may be a simple structure 402, such as a box or a sheet of paper, as shown in FIG. 4. As demonstrated, the use of tags 202 allows the ultrasound training method to be flexible in use and cost. Further embodiments of training models may be used based on a desired type of simulation, such as to simulate different body types, body parts, animals, or other such factors.


In some embodiments, the tags 202 are labeled so that the user can easily identify where to affix the tags 202 on the animate or inanimate object. In some embodiments, the simulation software directs a user in the process of affixing the tags 202 on the animate or inanimate object. In some embodiments, the tags 202 may be provided already affixed to a training object so a trainee 206 does not need to worry about setting up or losing the tags 202.


The tags 202 should have an ID that is mapped to locations on the virtual body 108. The system needs to know how to establish a correspondence between the ID of a tag 202 and a set of coordinates on the virtual body 108. An example of a mapping may be:

    • 04087682922A81→Left Upper Quadrant→(12.34, 45.78, 74,57)
    • 040AB702BC2B80→Left Chest→(87.36, 29.15, 94.46)
    • 04107582922A81→Mid-Aorta→(73.82, 75.92, 40.24)


      In preferred embodiments, the tags 202 are passive NFC tags 202, which are inexpensive, durable, and do not require a battery. Furthermore, NFC tags 202 may be read-only and read/write. If read/write tags 202 are available, the tags 202 can be programmed with a finite set of predefined IDs and the mapping between IDs and locations is hard-coded into the ultrasound simulation software. If the available tags 202 are read-only, the mapping must be defined between a large number of tags 202 with unique IDs and a finite set of labels 602. The number of available tags 202 is divided into multiple sets, where the size of each set matches the number of labels. A mapping between tags 202 and labels is defined and stored into a special file. The user will receive a set of tags 202 and a corresponding file that specifies the mapping of that set of tags 202 to locations on the virtual body.


The tags 202 are designed in a way that they may be easily affixed onto the training model either permanently or for a limited number of uses. If the tag is designed to be affixed permanently to an object, such as a training mannequin 302, they could be embedded directly by the manufacturer. For instance, if a training mannequin 302 features a soft removable skin, the tags 202 could be embedded directly under the skin at the correct locations.


In some embodiments, the tag 202 may be a tag assembly 500 comprising multiple superimposed layers. An example tag assembly 500 having three layers is illustrated in FIG. 5 and FIGS. 6A-6C. The first layer may be a Label and Artwork layer 502 that indicates the location on the virtual body 108 the tag 202 corresponds to with a label 602. This layer may also showcase additional graphics 604 for branding and improving the appearance of the tag. The second layer may be a NFC inlay layer 504 that hosts NFC hardware, which in many cases comprises an integrated circuit 606 and antenna 608 laid out on a flat surface. The third layer may be an Adhesive layer 506, wherein the surface is designed to adhere to the animate and inanimate object. The contact surface of this layer should be covered with an appropriate adhesive to facilitate affixing the tag onto the object. In some embodiments, additional layers may be superimposed to further protect the tag 202 against mechanical stresses, liquids or other hazards the tag 202 may be exposed to.


The reader detects tags 202 over a short distance by employing a number of available radio frequency technologies depending on the type of tag. In preferred embodiments, a low-cost NFC reader and passive NFC tags 202 are used. The NFC reader broadcasts an electromagnetic (EM) wave at a specific frequency. The NFC tag 202 harvests energy from the incoming EM wave using magnetic induction. The tag 202 uses the energy to power a small chip 606 that broadcasts a new EM wave that encodes the unique identification number of the tag 202 according to a predefined protocol. The NFC reader then receives the encoded signal and relays the information to the computation engine.


The rotational 3-DOF motion tracker may comprise one or more sensors for measuring rotation. For example, the motion tracker may comprise a low-cost Inertial Measurement Unit (IMU) composed of a combination of gyroscopes, accelerometers, magnetometers, and other sensors for compensating external disturbances.


In some embodiments, the reader and the rotational 3-DOF motion tracker are combined into a single unit called a sensor assembly 208, as shown in FIG. 7. The sensor assembly 208 can be used to control the orientation of the scanning plane of an ultrasound device in a virtual environment 106 and detect the ID of a labeled tag 202 and convey it to the computation engine that runs the ultrasound simulation.


The system requires a computing device capable of running the ultrasound simulation software. The ultrasound simulation software should be capable of displaying on a display a graphical user interface (GUI) 104, a virtual body 108, a virtual probe 110, and a dynamic image 102 resembling the appearance of an ultrasound. The computing device should be capable of receiving data from a sensor assembly, including an identified tag and an orientation. The position and orientation of the virtual probe 110 should update based on the data, and the dynamic image 102 should also change.


The ultrasound simulation software may include instructions on placing tags 202 on an animate or inanimate model/object. The ultrasound simulation software may also include a choice of different virtual bodies 108. For example, practitioners may be given a choice to practice ultrasound training on an average male, a pregnant female, or a pet dog. In some embodiments, the instructions on placing tags 202 are dependent on the body type chosen in the ultrasound simulation software.


The ultrasound simulation software may further include scenarios, objectives and instructions on obtaining an image window or optimal image view. For example, a scenario may involve instructing a trainee 206 to place a sensor assembly at the abdomen of the model. If the trainee 206 does not find the correct tag 202, the scenario will not progress. This may instruct a trainee 206 in finding the correct image window. The scenario may then instruct the trainee 206 to find the optimal image view. The trainee 206 will need to orient the sensor assembly at the right orientation to progress. In some embodiments, a specific virtual probe position will be displayed on the computing device, which a trainee 206 will be required to mimic.


A high-level block diagram of an exemplary computing device 800 that may be used to implement systems, apparatus, and methods described herein is illustrated in FIG. 8. The computing device 800 comprises a processor 810 operatively coupled to a data storage device and memory. Processor 810 controls the overall operation of computing device 800 by executing computing device program instructions that define such operations. The computing device program instructions may be stored in data storage device 820, or other non-transitory computing device readable medium, and loaded into memory 830 when execution of the computing device program instructions is desired. Thus, the method steps of the ultrasound simulation software can be defined by the computing device program instructions stored in memory 830 and/or data storage device 820 and controlled by processor 810 executing the computing device program instructions.


Computing device 800 also includes one or more network interfaces 840 for communicating with other devices via a network. Computing device 800 also includes one or more input/output devices 850 that enable user interaction with computing device 800 (e.g., display, keyboard, touchpad, mouse, speakers, buttons, etc.).


Processor 810 can include, among others, special purpose processors with software instructions incorporated in the processor design and general purpose processors with instructions in storage device 820 or memory 830, to control the processor 810, and may be the sole processor or one of multiple processors of computing device 800. Processor 810 may be a self-contained computing system, containing multiple cores or processors, a bus, memory controller, cache, etc. A multi-core processor may be symmetric or asymmetric. Processor 810, data storage device 820, and/or memory 830 may include, be supplemented by, or incorporated in, one or more application-specific integrated circuits (ASICs) and/or one or more field programmable gate arrays (FPGAs). It can be appreciated that the disclosure may operate on a computing device 800 with one or more processors 810 or on a group or cluster of computing devices networked together to provide greater processing capability.


Data storage device 820 and memory 830 each comprise a tangible non-transitory computing device readable storage medium. By way of example, and not limitation, such non-transitory computing device-readable storage medium can include random access memory (RAM), high-speed random access memory (DRAM), static random access memory (SRAM), double data rate synchronous dynamic random access memory (DDRRAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), flash memory, compact disc read-only memory (CD-ROM), digital versatile disc read-only memory (DVD-ROM) disks, or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code means in the form of computing device-executable instructions, data structures, or processor chip design. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or combination thereof) to a computing device, the computing device properly views the connection as a computing device-readable medium. Thus, any such connection is properly termed a computing device-readable medium. Combinations of the above should also be included within the scope of the computing device-readable media.


Network/communication interface 840 enables the computing device 800 to communicate with networks, such as the Internet, also referred to as the World Wide Web (WWW), an intranet and/or a wireless network, such as a cellular telephone network, a wireless local area network (LAN) and/or a metropolitan area network (MAN), and other devices using any suitable communications standards, protocols, and technologies. By way of example, and not limitation, such suitable communications standards, protocols, and technologies can include Ethernet, Wi-Fi (e.g., IEEE 802.11), Wi-MAX (e.g., 802.16), Bluetooth, near field communications (“NFC”), radio frequency systems, infrared, GSM, EDGE, HS-DPA, CDMA, TDMA, quadband, VoIP, IMAP, POP, XMPP, SIMPLE, IMPS, SMS, or any other suitable communications protocols. By way of example, and not limitation, the network interface 840 enables the computing device 800 to transfer data, synchronize information, update software, or perform any other suitable operation.


Input/output devices 850 may include peripherals, such as the sensor assembly or the individual reader and motion tracker. Input/output devices 850 may also include monitors or touchscreens for display, a keyboard and mouse for input, speakers for audio output, and other such devices.


Any or all of the systems and apparatus discussed herein, including personal computing devices, tablet computing devices, hand-held devices, cellular telephones, servers, database, cloud-computing environments, and components thereof, may be implemented using a computing device such as computing device 800.


One skilled in the art will recognize that an implementation of an actual computing device or computing device system may have other structures and may contain other components as well, and that FIG. 8 is a high level representation of some of the components of such a computing device for illustrative purposes.


The foregoing description of the preferred embodiment of the invention has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. Many modifications and variations are possible in light of the above teaching. It is intended that the scope of the invention not be limited by this detailed description, but by the claims and the equivalents to the claims appended hereto.

Claims
  • 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; anda sensor for measuring an angular orientation of the sensor assembly;a computation engine, comprising: a display;a processor;a memory; anda program, wherein the program is stored in the memory and configured to be executed by the processor, the program including instructions 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;display a virtual body;display a virtual ultrasound probe, wherein the virtual ultrasound probe has an orientation corresponding to the angular orientation of the sensor assembly, and wherein the virtual ultrasound probe is positioned at a virtual body location corresponding to the at least one of the plurality of tags identified by the sensor assembly; andgenerate and display a virtual ultrasound based on the virtual body and the virtual ultrasound probe.
  • 2. The system of claim 1, wherein the program further includes instructions to: instruct a user to move the sensor assembly to a particular tag for practicing locating an image window; andinstruct the user to move the sensor assembly to a particular angular orientation for practicing finding an optimal image view.
  • 3. A method for training practitioners in ultrasound skills, comprising: receiving information encoded in a tag by a reader;measuring rotation of a motion tracker;displaying a virtual body on a display device;displaying a virtual ultrasound probe on the display device, wherein the virtual ultrasound probe has an orientation determined by the motion tracker, and wherein the virtual ultrasound probe has a translational position relative to the virtual body determined by the tag;displaying an ultrasound scan of the virtual body based on the translational position and the orientation of the virtual ultrasound probe on the virtual body; andmeasuring translational movement of the motion tracker based on a set of coordinates associated with the tag.
  • 4. The method of claim 3, further comprising instructing at least one placement location of the tag on a model.
  • 5. The method of claim 4, wherein the model is an animate body.
  • 6. The method of claim 4, wherein the model is an inanimate object.
  • 7. The method of claim 3, wherein the reader and the motion tracker are housed in a handheld sensor assembly.
  • 8. The method of claim 3, further comprising instructing a user to move the reader to a particular tag in order to train in finding an image window.
  • 9. The method of claim 8, further comprising instructing the user to move the motion tracker to a particular orientation to train in finding an optimal view.
  • 10. The method of claim 3, wherein a user interface provides a choice of types of virtual bodies.
  • 11. The method of claim 3, wherein the tag is a transponder.
  • 12. The method of claim 3, wherein the tag is a beacon.
  • 13. A system for training practitioners in ultrasound skills, comprising: a radio frequency tag, comprising an identification;a reader configured to read the radio frequency tag;a motion tracker;a computation engine comprising: a display device;at least one processor;a memory; andat least one program, wherein the at least one program is stored in the memory and configured to be executed by the at least one processor, the at least one program including instructions to:determine a location of the radio frequency tag based on the identification of the radio frequency tag by the reader;receive an orientation data of the motion tracker regarding an orientation of the motion tracker;display a virtual body on the display device;display a virtual ultrasound probe on the display device, wherein the virtual ultrasound probe has an orientation corresponding to the orientation of the motion tracker, and wherein the virtual ultrasound probe is positioned at a location on the virtual body corresponding to the location of the radio frequency tag; anddisplay an ultrasound scan of the virtual body based on the orientation and location of the virtual ultrasound probe.
  • 14. The system of claim 13, wherein the reader and the motion tracker are housed in a handheld sensor assembly.
  • 15. The system of claim 14, wherein the radio frequency tag comprises: a first layer indicating the location on the virtual body with which the radio frequency tag corresponds;a second layer comprising an integrated circuit and antenna; anda third layer to adhere to a training object.
  • 16. The system of claim 15, further comprising an inanimate mannequin, wherein the inanimate mannequin has indicators for where to place the radio frequency tag.
  • 17. The system of claim 16, wherein the at least one program further comprises instructions to move the handheld sensor assembly to a particular tag for training in finding an image window.
  • 18. The system of claim 17, wherein the at least one program further comprises instructions to orient the motion tracker to a particular orientation for training in finding an optimal view.
  • 19. The system of claim 13, wherein the at least one program provides instructions to provide a user selection of virtual body types.
  • 20. The system of claim 19, wherein the at least one program provides instructions to place the radio frequency tag based on the user selection of virtual body types.
CROSS-REFERENCE TO RELATED APPLICATION

This patent application is a continuation of U.S. patent application Ser. No. 16/538,317, filed Aug. 12, 2019, which is a continuation of U.S. patent application Ser. No. 14/548,210, filed Nov. 19, 2014 (now U.S. Pat. No. 10,380,919), which claims the benefit of U.S. Provisional Patent Application Ser. No. 61/907,276, filed Nov. 21, 2013, entitled “SYSTEM AND METHOD FOR EXTENDED SPECTRUM ULTRASOUND TRAINING USING ANIMATE AND INANIMATE TRAINING OBJECTS,” which applications are incorporated in their entirety here by this reference.

US Referenced Citations (252)
Number Name Date Kind
1488233 Frederick Mar 1924 A
1762937 Staud Jun 1930 A
2019121 Rewal Oct 1935 A
2112019 Gyger Mar 1938 A
2127610 Moore Aug 1938 A
2705049 Brooks Mar 1955 A
2705307 Edson Mar 1955 A
2722947 Sragal Nov 1955 A
2886316 Carl May 1959 A
4040171 Cline et al. Aug 1977 A
4838863 Allard et al. Jun 1989 A
4838869 Allard Jun 1989 A
4994034 Botich et al. Feb 1991 A
5231381 Duwaer Jul 1993 A
5513992 Refait May 1996 A
5609485 Bergman Mar 1997 A
5678565 Sarvazyan Oct 1997 A
5689443 Ramanathan Nov 1997 A
5701900 Shehada et al. Dec 1997 A
5704791 Giiiio Jan 1998 A
5755577 Gillio May 1998 A
5767839 Rosenberg Jun 1998 A
5776062 Nields Jul 1998 A
5791908 Gillio Aug 1998 A
5800177 Gillio Sep 1998 A
5800178 Gillio Sep 1998 A
5800179 Bailey Sep 1998 A
5800350 Coppleson et al. Sep 1998 A
5827942 Madsen et al. Oct 1998 A
5882206 Gillio Mar 1999 A
5889237 Makinwa Mar 1999 A
5934288 Avila et al. Aug 1999 A
6001472 Ikeda et al. Dec 1999 A
6048312 Ishrak et al. Apr 2000 A
6063030 Vara et al. May 2000 A
6068597 Lin May 2000 A
6074213 Hon Jun 2000 A
6113395 Hon Sep 2000 A
6117078 Lysyansky et al. Sep 2000 A
6122538 Sliwa, Jr. et al. Sep 2000 A
6156213 Dudley et al. Dec 2000 A
6193657 Drapkin Feb 2001 B1
6267599 Bailey Jul 2001 B1
6468212 Scott et al. Oct 2002 B1
6502756 Fåhraeus Jan 2003 B1
6511427 Siiwa, Jr. et al. Jan 2003 B1
6548768 Pettersson et al. Apr 2003 B1
6570104 Ericson et al. May 2003 B1
6654000 Rosenberg Nov 2003 B2
6663008 Pettersson et al. Dec 2003 B1
6665554 Charles et al. Dec 2003 B1
6666376 Ericson Dec 2003 B1
6667695 Pettersson et al. Dec 2003 B2
6674427 Pettersson et al. Jan 2004 B1
6689966 Wiebe Feb 2004 B2
6693626 Rosenberg Feb 2004 B1
6694163 Vining Feb 2004 B1
6698660 Fåhraeus et al. Mar 2004 B2
6714213 Lithicum et al. Mar 2004 B1
6714901 Cotin et al. Mar 2004 B1
6719470 Berhin Apr 2004 B2
6722574 Skantze et al. Apr 2004 B2
6732927 Olsson et al. May 2004 B2
6750877 Rosenberg Jun 2004 B2
6780016 Toly Aug 2004 B1
6816148 Mallett et al. Nov 2004 B2
6836555 Ericson et al. Dec 2004 B2
6854821 Ericson et al. Feb 2005 B2
6864880 Hugosson et al. Mar 2005 B2
6878062 Bjorklund et al. Apr 2005 B2
6896650 Tracey et al. May 2005 B2
6916283 Tracey et al. Jul 2005 B2
6927916 Craven-Bartle Aug 2005 B2
6929183 Pettersson Aug 2005 B2
6929481 Alexander et al. Aug 2005 B1
6947033 Fåhraeus et al. Sep 2005 B2
6958747 Sahlberg et al. Oct 2005 B2
6966495 Lynggaard et al. Nov 2005 B2
6992655 Ericson et al. Jan 2006 B2
7002559 Ericson Feb 2006 B2
7035429 Andreasson Apr 2006 B2
7037258 Chatenever May 2006 B2
7050653 Edso et al. May 2006 B2
7054487 Ericson et al. May 2006 B2
7072529 Hugosson et al. Jul 2006 B2
7089308 Fransson et al. Aug 2006 B2
7094977 Ericson et al. Aug 2006 B2
7110604 Olsson Sep 2006 B2
7120320 Petterson et al. Oct 2006 B2
7121465 Rignell Oct 2006 B2
7127682 Sandstrom et al. Oct 2006 B2
7143952 Ericson Dec 2006 B2
7145556 Pettersson Dec 2006 B2
7154056 Bergqvist et al. Dec 2006 B2
7162087 Bryborn Jan 2007 B2
7167164 Ericson et al. Jan 2007 B2
7172131 Pettersson et al. Feb 2007 B2
7175095 Pettersson et al. Feb 2007 B2
7176896 Fahraeus et al. Feb 2007 B1
7180509 Fermgard et al. Feb 2007 B2
7195166 Olsson et al. Mar 2007 B2
7202861 Lynggaard Apr 2007 B2
7202963 Wiebe et al. Apr 2007 B2
7239306 Fahraeus et al. Jul 2007 B2
7246321 Bryborn et al. Jul 2007 B2
7248250 Pettersson et al. Jul 2007 B2
7249256 Hansen et al. Jul 2007 B2
7249716 Bryborn Jul 2007 B2
7254839 Fahraeus et al. Aug 2007 B2
7278017 Skantze Oct 2007 B2
7281668 Pettersson et al. Oct 2007 B2
7283676 Olsson Oct 2007 B2
7293697 Wiebe et al. Nov 2007 B2
7295193 Fahraeus Nov 2007 B2
7296075 Lynggaard Nov 2007 B2
7321692 Bryborn et al. Jan 2008 B2
7333947 Wiebe et al. Feb 2008 B2
7345673 Ericson et al. Mar 2008 B2
7353393 Hansen et al. Apr 2008 B2
7356012 Wiebe et al. Apr 2008 B2
7371068 Lloyd et al. May 2008 B2
7382361 Burstrom et al. Jun 2008 B2
7385595 Bryborn et al. Jun 2008 B2
7408536 Hugosson et al. Aug 2008 B2
7415501 Burstrom Aug 2008 B2
7418160 Lynggaard Aug 2008 B2
7422154 Ericson Sep 2008 B2
7441183 Burstrom et al. Oct 2008 B2
7457413 Thuvesholmen et al. Nov 2008 B2
7457476 Olsson Nov 2008 B2
7543753 Pettersson Jun 2009 B2
7588191 Pettersson et al. Sep 2009 B2
7600693 Pettersson Oct 2009 B2
7649637 Wiebe et al. Jan 2010 B2
7670070 Craven-Bartle Mar 2010 B2
7672513 Bjorklund et al. Mar 2010 B2
7701446 Sahlberg et al. Apr 2010 B2
7710408 Ericson May 2010 B2
7751089 Fahraeus et al. Jul 2010 B2
7753283 Lynggaard Jul 2010 B2
7777777 Bowman et al. Aug 2010 B2
7788315 Johansson Aug 2010 B2
7794388 Draxinger et al. Sep 2010 B2
7806696 Alexander et al. Oct 2010 B2
7833018 Alexander et al. Nov 2010 B2
7850454 Toly Dec 2010 B2
7857626 Toly Dec 2010 B2
7871850 Park Jan 2011 B2
7931470 Alexander et al. Apr 2011 B2
8244506 Butsev et al. Aug 2012 B2
8294972 Chung Oct 2012 B2
8428326 Falk et al. Apr 2013 B2
8480404 Savitsky Jul 2013 B2
8480406 Alexander et al. Jul 2013 B2
8556635 Siassi Oct 2013 B2
8721344 Marmaropoulos et al. May 2014 B2
9128116 Welch et al. Sep 2015 B2
9251721 Lampotang Feb 2016 B2
9436993 Stolka et al. Sep 2016 B1
9870721 Savitsky et al. Jan 2018 B2
9911365 Toly Mar 2018 B2
10052010 Feddema Aug 2018 B2
10132015 Woodruff et al. Nov 2018 B2
11011077 Garcia Kilroy et al. May 2021 B2
20010031920 Kaufman et al. Oct 2001 A1
20020076581 McCoy Jun 2002 A1
20020076681 Leight et al. Jun 2002 A1
20020088926 Prasser Jul 2002 A1
20020099310 Kimchy et al. Jul 2002 A1
20020168618 Anderson et al. Nov 2002 A1
20020173721 Grunwald et al. Nov 2002 A1
20040043368 Hsieh et al. Mar 2004 A1
20040087850 Okerlund et al. May 2004 A1
20050119569 Ohtake Jun 2005 A1
20050181342 Toly Aug 2005 A1
20050214726 Feygin et al. Sep 2005 A1
20050228617 Kerwin et al. Oct 2005 A1
20050283075 Ma et al. Dec 2005 A1
20060020204 Serra et al. Jan 2006 A1
20060098010 Dwyer et al. May 2006 A1
20070088213 Poland Apr 2007 A1
20070161904 Urbano Jul 2007 A1
20070232907 Pelissier et al. Oct 2007 A1
20070236514 Augusanto Oct 2007 A1
20070238085 Colvin et al. Oct 2007 A1
20080009743 Hayasaka Jan 2008 A1
20080137071 Chow Jun 2008 A1
20080187896 Savitsky Aug 2008 A1
20080200807 Wright et al. Aug 2008 A1
20080204004 Anderson Aug 2008 A1
20080269606 Matsumura Oct 2008 A1
20080294096 Uber et al. Nov 2008 A1
20080312884 Hostettler et al. Dec 2008 A1
20090006419 Savitsky Jan 2009 A1
20090043195 Poland Feb 2009 A1
20090046912 Hostettler Feb 2009 A1
20090130642 Tada et al. May 2009 A1
20090209859 Tsujita et al. Aug 2009 A1
20090266957 Cermak Oct 2009 A1
20090305213 Burgkart et al. Dec 2009 A1
20090311655 Karkanias et al. Dec 2009 A1
20100055657 Goble et al. Mar 2010 A1
20100104162 Falk et al. Apr 2010 A1
20100179428 Pedersen et al. Jul 2010 A1
20100268067 Razzaque et al. Oct 2010 A1
20100277422 Muresianu et al. Nov 2010 A1
20110010023 Kunzig et al. Jan 2011 A1
20110306025 Sheehan et al. Dec 2011 A1
20120021993 Kim et al. Jan 2012 A1
20120058457 Savitsky Mar 2012 A1
20120143142 Klein Jun 2012 A1
20120150797 Landy et al. Jun 2012 A1
20120179039 Pelissier et al. Jul 2012 A1
20120200977 Nestler Aug 2012 A1
20120219937 Hughes et al. Aug 2012 A1
20120237102 Savitsky et al. Sep 2012 A1
20120237913 Savitsky et al. Sep 2012 A1
20120238875 Savitsky et al. Sep 2012 A1
20120251991 Savitsky et al. Oct 2012 A1
20130046523 Van Dinther Feb 2013 A1
20130064036 Lee et al. Mar 2013 A1
20130065211 Amso et al. Mar 2013 A1
20130137989 Chen May 2013 A1
20130158411 Miyasaka Jun 2013 A1
20130179306 Want Jul 2013 A1
20130236872 Laurusonis et al. Sep 2013 A1
20140000448 Tepper Jan 2014 A1
20140087347 Tracy Mar 2014 A1
20140114194 Kanayama et al. Apr 2014 A1
20140119645 Zimet May 2014 A1
20140120505 Rios et al. May 2014 A1
20140228685 Eelbode Aug 2014 A1
20140272878 Shim et al. Sep 2014 A1
20150056591 Tepper et al. Feb 2015 A1
20150078639 Hausotte Mar 2015 A1
20150213731 Sato Jul 2015 A1
20160314716 Grubbs Oct 2016 A1
20160328998 Pedersen et al. Nov 2016 A1
20170028141 Fiedler et al. Feb 2017 A1
20170035517 Geri Feb 2017 A1
20170046985 Hendrickson et al. Feb 2017 A1
20170110032 O'Brien Apr 2017 A1
20170270829 Bauss Sep 2017 A1
20180197441 Rios Jul 2018 A1
20180366034 Casals Gelpi Dec 2018 A1
20190057620 Eggert Feb 2019 A1
20190231436 Panse Aug 2019 A1
20190321657 Hale Oct 2019 A1
20200126449 Horst Apr 2020 A1
20200138518 Lang May 2020 A1
20210128125 Sitti et al. May 2021 A1
20210186311 Levy et al. Jun 2021 A1
Foreign Referenced Citations (5)
Number Date Country
1103223 May 2001 EP
2801966 Nov 2014 EP
2127610 Mar 1999 RU
1994040171 Nov 2014 RU
2006060406 Jun 2006 WO
Non-Patent Literature Citations (50)
Entry
Chung, Gregory, “Effects of Simulation-Based Practice on Focused Assessment . . . ”, Military Medicine, Oct. 2013, vol. 178.
Aligned Management Associates, Inc., Corporate home page describing organizing committee, overview, Procedicus MIST[trademark]—suturing module 30.0, 6 pgs., obtained from website Sep. 6, 2004.
American Academy of Emergency Medicine, conference: 11th annual scientific assembly preconference ultrasound courts, http://www. aaem.org/education/scientificassembly/sa05/precon/ultrasound.shtml, 6 pgs, obtained from website Feb. 16, 2005.
Barbosa, J. et. al., “Computer education in emergency medicine residency programs,” http://www.med-ed-oniine.org/res00002.htm, 8 pgs, obtained from website Sep. 6, 2004.
Brannam, Let al, “Emergency nurses utilization of ultrasound guidance for placement of peripheral intravenous lines in difficult-access patients,” Acad Emerg Med, 11(12):1361-1363, Dec. 2004.
Calvert, N. et al., “The effectiveness and cost-effectiveness of ultrasound locating devices for central venous access: a systematic review and economic evaluation/executive summary,” Health Tech Assess 2003, 7(12), 4 pgs.
Center for Human Simulation, corporate home page describing overview/people, http://www.uchsc.edu, 7 pgs, obtained from website Sep. 6, 2004.
Cimit News, “The medical access program: new CIMIT initiative to benefit underserved patients/partners telemedicine and CIMIT launch new initiative: stay connected, be healthy/highiights: operating room of the future plug-and-play project,” http://www.cimit.org, Jan. 2005; vol. 2, 2 pgs., obtained from website Mar. 1, 2005.
Colt, H. G. et al., “Virtual reality bronchoscopy simulation: a revolution in procedural training,” Chest 2001; 120:1333-1339.
Computer Motion, “About computer motion: technology to enhance surgeons capabilities, improve patient outcomes and reduce healthcare costs/corporate alliances/products solutions for surgical innovation/training on the da Vinci[registered] surgical system-introduction,” 2002 Computer Motion, http://www.computermotion.com, 6 pgs.
DELP, Setal, “Surgical simulation—an emerging technology for training in emergency medicine,” Presence, 6(2):147-159, Apr. 1997 (abstract).
Dorner, R. et. al., “Synergies between interactive training simulations and digital storytelling: a component-based framework,” Computer Graphics, 26(1):45-55, Feb. 2002 (abstract).
Duque, D. and Kessler S., “Ultrasound guided vascular access,” Amer Coli Emerg Phy., http://www.nyacep.org/education/articles/ultrasound%20vascular%20access.htm, 2 pgs, obtained from website May 11, 2005.
Espinet, A. and Dunning J., “Does ultrasound-guided central line insertion reduce complications and time to placement in elective patients undergoing cardiac surgery,” Inter Cardiovascular Thoracic Surg, 3:523-527, 2004; http:/licvts.ctsnetjournals.org/cgi/content/full/3/3/523, 6 pgs, obtained from website May 11, 2005 (abstract).
Gallagher, A. G. et al., “Virtual reality training for the operating room and cardiac catheterization laboratory,” Lancet, 364:1538-1540, Oct. 23, 2004.
Gallagher, A. G. et. al., “Psychomotor skills assessment in practicing surgeons experienced in performing advanced laparoscopic procedures,” AM Coli Surg, 197(3):479-488, Sep. 2003.
Gausche, M. et. al., “Effect on out-of-hospital pediatric endotracheal intubation on survival and neurological outcome: a controlled clinical trial,” JAMA, 283(6): 783-790, Feb. 9, 2000.
Gore, D. C. and Gregory, S. R., “Historical perspective on medical errors: Richard Cabot and the Institute of Medicine,” J Amer Coli Surg, 197(4), 5 pgs, Oct. 2003.
Grantcharov, T. P. et. al., “Randomized clinical trial of virtual reality simulation for laparoscopic skills training,” Br J Surg, 91(2):146-150, Feb. 1, 2004 (abstract).
Grantcharov, T. P. et. al., “Learning curves and impact of previous operative experience on performance on a virtual reality simulator to test laparoscopic surgical skills,” Am J Surg, 185(2):146-149, Feb. 1, 2004 (abstract).
Haluck, R. S., et. al., “Are surgery training programs ready for virtual reality a survey of program directors in general surgery,” Arch Surg, 135(7):786-792, Jul. 1, 2000.
Helmreich, R. L., “On error management: lessons from aviation,” BMJ, 320:781-785, Mar. 2000.
Huckman, R. S. and Pisano, G. P., “Turf battles in coronary revascularization,” N Engl J Med, http://www.nejm.org, 4 pgs, 352(9):857-859, Mar. 3, 2005.
Immersion Corporation, URL: http://www.immersion.com/corporate/products/, corporate home page describing Immersions surgical training simulators—“Wireless Data Glove: The CyberGiove[registered]II System,” 5 pgs, obtained from the website Nov. 17, 2005 and Jan. 24, 2008.
injuryboard.com, “Reducing complications associated with central vein catheterization,” URSL: http://www.injuryboard.com/view.cfm/Article=668, 5 pgs, obtained from website May 11, 2005.
INTERSENSE, home page listing motion tracking products, http://www.isense.com/prodcuts.aspxid=42, 1 pg, obtained from website Jan. 24, 2008.
Jemmett, M. E., et al., “Unrecognized misplacement of endotracheal tubes in a mixed urban to rural emergency medical services setting,” Acad Emerg Med, 10(9):961-964, Sep. 2003.
Katz, S. H. and Falk, J. L., “Misplaced endotrachial tubes by paramedics in an urban medical services system,” Annals Emerg Med, 37:32-37, Jan. 2001.
Lewis, R., “Educational research: time to reach the bar, not lower it,” Acad Emerg Med, 12(3):247-248, Mar. 2005.
Liu, A. et. al., “A survey of surgical simulation: applications, technology, and education,” Presence, 12(6):1-45, Dec. 2003.
Manchester Visulations Centre, “Webset project-bringing 3D medical training tools to the WWW,” http://www.sve.man.ac.uklmvc/research/previous/website, 3 pgs, obtained from the website Sep. 8, 2004.
Mclellan, H., “Virtual realities,” Mclellan Wyatt Digital, 33 pgs.
Medical Simulation Corporation, corporate home page describing management team/frequently asked questions, http://www.medsimulation.com/about_msc/key_employees.asp, 7 pgs, obtained from website Nov. 25, 2004.
Medtronic, “The StealthStation[registered] treatment guidance system,” the corporate home page describing the company fact sheet and profile; http://www.medtronic.com/Newsroom, 4 pgs, obtained from website Mar. 5, 2005.
Mort, T. C., “Emergency tracheal intubation: complications associated with repeated laryngoscopic attempts,” Anesth Analg, 99(2):607-613, Aug. 2004, 1 pg, obtained from website Sep. 8, 2004 (abstract).
Nazeer, S. R., et. al., “Ultrasound-assisted paracentesis performed by emergency physicians v.s. the traditional technique: a prospective, randomized study,” Amer J of Emer Med, 23:363-367, 2005.
NCA Medical Simulation Center, Tutorial-simulation for medical training, http://Simcen.usuhs.millmiccale, 4 pgs, 2003.
Next Dimension Imaging, “Products-Anatomy Analyzer 2,” http://www.nexted.com/anatomyanalyzer.asp, 2 pgs, obtained from website Dec. 7, 2004.
Norris, T. E. et. al., “Teaching procedural skills,” J General Internal Med, 12(S2):S64-S70, Apr. 1997.
On the Net Resources-Education and Training, URL: http://www.hitl.washington.edu/projects/knowledge_base/education.html, corporate home page regarding internet sites regarding education and training, 16 pgs, obtained from website Jan. 8, 2005.
Osberg, K. M., “Virtual reality and education: a look at both sides of the sword,” http://www.hitl.washington.edu/publications/r-93-7/, 19 pgs, Dec. 14, 1992, obtained from website Jan. 21, 2008.
Osmon, S. et al., “Clinical investigations: reporting of medical errors: an intensive care unit experience,” Grit Care Med, 32(3), 13 pgs, Mar. 2004.
Ponder, M., et al., “Immersive VR decision training: telling interactive stories featuring advanced human simulation technologies,” Eurographics Association 2003, 10 pgs.
PRIMAL, corporate home page describing resources for teaching healthcare practitioners, 2 pgs, obtained from website.
Prystowsky, J. B. et. al., “A virtual reality module for intravenous catheter placement,” Am J Surg 1999; 177(2): 171-175 (abstract).
Reachin, “Medical Training Development Centre/Reachin technologies AB has entered into a corporation with Mentice AB,” Jan. 20, 2004, 4 pgs, obtained from website Nov. 9, 2004.
Rothschild, J. M., “Ultrasound guidance of central vein catheterization,” NCBI, Nat Lib Med, www.ncbi.nlm.nih.gov/books/, HSTAT 21, 6 pgs, obtained from website May 11, 2005.
Rowe, R. and Cohen, R. A., “An evaluation of a virtual reality airway simulator,” Anesth Analg 2002, 95:62-66.
Sensable Technologies, “PHANTOM Omni Haptic Device,” 2 pgs, http://www.sensable.com/haptic-ohantom-omni.htm., obtained from website Jan. 24, 2008.
Shaffer, K., “Becoming a physician: teaching anatomy in a digital age,” NEJM, Sep. 23, 2004; 351(13):1279-81 (extract of first 100 words—no abstract).
Provisional Applications (1)
Number Date Country
61907276 Nov 2013 US
Continuations (2)
Number Date Country
Parent 16538317 Aug 2019 US
Child 17726414 US
Parent 14548210 Nov 2014 US
Child 16538317 US