Methods and apparatus for providing realistic medical training

• US 8,647,124 B2
• Filed: 01/02/2013
• Issued: 02/11/2014
• Est. Priority Date: 09/29/2005
• Status: Active Grant

• Current Assignee: The General Hospital Corporation (Mass General Brigham, Inc.)
• Original Assignee: The General Hospital Corporation (Mass General Brigham, Inc.)
• Inventors: Bardsley, Ryan Scott, Ottensmeyer, Mark P., Samosky, Joseph T., Dawson, Steven L.
• Primary Examiner(s): Utama, Robert J
• Application Number:
  US13/732,536
• Publication Number:
  US 20130203032A1
• Time in Patent Office: 405 Days
• Field of Search: 434/267, 434/262, 434/265
• US Class Current: 434/262
• CPC Class Codes: G09B 23/30 Anatomical models G09B23/281 - G09B23/288 take precedence
• CPC Class Codes: G09B 23/32 with moving parts
• CPC Class Codes: G09B 23/34 with removable parts

Abstract

Method and apparatus to provide simulation of a human casualty. In one embodiment an autonomous casualty simulator includes a processing module having a scenario progression controller and a physiological modeling system to receive sensor input and to control effectors. The autonomous casualty simulator can be contained in a nominal human mannequin form.

Claims

1. A medical training system, comprising:

a mannequin including a support structure corresponding to a human skeleton;

a plurality of sensors disposed about the mannequin; and

a processor configured to;

determine a current physiological state of the mannequin,

receive an input value from at least one of the plurality of sensors,

interpret the input value to determine a new physiological state, and

activate a motor to modify a resistance of or cause motion of the support structure based upon the new physiological state.

2. The system of claim 1, wherein the processor is configured to:

identify a trainee using the medical training system; and

create a record of intervention using the input value from the at least one of the plurality of sensors and the identity of the trainee.

3. The system of claim 2, wherein the processor is configured to identify the trainee using a radio frequency identification (RFID) tag.

4. The system of claim 1, including an audio output system coupled to the processor, wherein the processor is configured to activate the audio output system based upon the new physiological state or a transition from the currently physiological state to the new physiological state.

5. The system of claim 4, wherein the audio output system is waterproof.

6. The system of claim 1, wherein the processor is disposed within a resealable container and a connection formed through an opening of the container is at least partially sealed with a silicone material.

7. The system of claim 1, wherein the support structure includes a long bone member, the long bone member including a conductive materials and being configured to carry an electrical signal configured to power the motor.

8. The system of claim 7, wherein the long bone member is electrically coupled to a second conductive member of the support structure using a brush connector.

9. The system of claim 1, wherein the support structure includes a neck joint, and the neck joint includes at least one stiffening rod, the at least one stiffening rod being selectively insertable through at least one cervical disk connected to the neck joint to control a stiffness of the neck joint.

10. The system of claim 1, wherein the support structure includes a neck joint, and the neck joint includes at least two pairs of air muscles, and a movement of the neck joint is achieved by selectively actuating at least one of the air muscles.

11. The system of claim 1, wherein the processor is configured to activate the motor to modify a simulated blood pressure or blood flow rate of the mannequin.

12. The system of claim 1, wherein the processor is configured to activate the motor to modify a simulated muscle tone of the mannequin.

13. A method of providing medical training using a human mannequin, comprising:

determining a current physiological state using a selected trauma sequence, and a time duration since an initiation of the selected trauma sequence;

receiving an input value from at least one of a plurality of sensors connected to the human mannequin;

interpreting the input value using a multidimensional lookup table to determine a new physiological state, the multidimensional lookup table relating inputs from a plurality of sensors to outputs including cardinal physiological status values;

using at least one of the plurality of effectors connected to the human mannequin to generate a physiological response, wherein the physiological response is at least partially determined by the new physiological state;

identifying a trainee using the medical training system; and

creating a record of intervention using the input value from the at least one of the plurality of sensors and the identity of the trainee.

14. The method of claim 13, wherein using at least one of the plurality of effectors connected to the human mannequin to generate a physiological response includes modifying a simulated muscle tone of the mannequin.