Abstract: In an aspect, an apparatus for procedural training is presented. An apparatus includes at least a processor and a memory communicatively connected to at least a processor. A memory contains instructions configuring at least a processor to receive optical data from a sensor comprising a machine vision system in electronic communication with the at least a processor, wherein the machine vision system is configured to identify at least one object within optical data. At least a processor is configured to determine a procedural performance parameter as a function of optical data wherein determining the procedural performance parameter comprises classifying the at least one object within optical data to an optical data category using an optical data classifier. At least a processor is configured to compare a procedural performance parameter to a procedural performance threshold. At least a processor is configured to display procedural training feedback through a display unit as a function of a comparison.

Abstract: In an aspect, an apparatus for procedural training is presented. An apparatus includes at least a processor and a memory communicatively connected to at least a processor. A memory contains instructions configuring at least a processor to receive optical data from a sensor in electronic communication with the at least a processor. At least a processor is configured to determine a procedural performance parameter as a function of optical data. At least a processor is configured to compare a procedural performance parameter to a procedural performance threshold. At least a processor is configured to display procedural training feedback through a display unit as a function of a comparison.

Abstract: In an aspect, an apparatus for procedural training is presented. An apparatus includes at least a processor and a memory communicatively connected to at least a processor. A memory contains instructions configuring at least a processor to receive optical data from a sensor in electronic communication with the at least a processor. At least a processor is configured to determine a procedural performance parameter as a function of optical data. At least a processor is configured to compare a procedural performance parameter to a procedural performance threshold. At least a processor is configured to display procedural training feedback through a display unit as a function of a comparison.

Abstract: A mannequin (200) including a chest compression feedback mechanism for use in simulated cardiopulmonary resuscitation (CPR) training includes a box (203) for simulating a human chest such that a head (201) is connected to one side of the box (203). A mechanical noise generator (215) is positioned within the box (203) for making an audible sound when force is applied to a predetermined area of the box during simulated chest compressions. This sound indicates to the teacher and/or student that a required compression depth has been met during CPR training.