Abstract: A computing architecture, system and method are disclosed for use in a medical device for providing decision support to a caregiver. The computing architecture includes a memory, a processor in communication with the memory, and an instance of a primary rules-based service configured to provide instruction events, the instance providing a primary processing thread of instruction events for coaching treatment of a patient. A software manager module includes an artificial intelligence architecture. The artificial intelligence architecture is configured to provide an instance of a conditional rules-based service for providing instruction events. The instance provided by the artificial intelligence architecture provides a processing thread of instruction events for coaching treatment of a patient that is independent of the primary processing thread and is configured to trigger an action on the occurrence of a pre-defined set of input conditions.

Abstract: Techniques for routing event data from a field device, such as an external defibrillator, to a selected subset of a plurality of possible destinations are described. The event data may include physiological data of the patient, such as a 12-lead electrocardiogram (ECG). The destinations may be associated with one of a plurality of patient treatment centers, and may include, as examples, computing device, printers, displays, personal digital assistants, or web-accessible accounts. In some examples, a server maintains user-configurable information or rules for at least some of the destinations, and uses the information or rules for determining whether event data received from a field device is routed to the destination. In some examples, the server may also make the routing determination based on an analysis of event data, such as a determination as to whether the event data indicates that the patient is suspected to be experiencing an acute myocardial infarction.

Abstract: Techniques for routing event data from a field device, such as an external defibrillator, to a selected subset of a plurality of possible destinations are described. The event data may include physiological data of the patient, such as a 12-lead electrocardiogram (ECG). The destinations may be associated with one of a plurality of patient treatment centers, and may include, as examples, computing device, printers, displays, personal digital assistants, or web-accessible accounts. In some examples, a server maintains user-configurable information or rules for at least some of the destinations, and uses the information or rules for determining whether event data received from a field device is routed to the destination. In some examples, the server may also make the routing determination based on an analysis of event data, such as a determination as to whether the event data indicates that the patient is suspected to be experiencing an acute myocardial infarction.

Abstract: A computing architecture, system and method are disclosed for use in a medical device for providing decision support to a caregiver. The computing architecture includes a memory, a processor in communication with the memory, and an instance of a primary rules-based service configured to provide instruction events, the instance providing a primary processing thread of instruction events for coaching treatment of a patient. A software manager module includes an artificial intelligence architecture. The artificial intelligence architecture is configured to provide an instance of a conditional rules-based service for providing instruction events. The instance provided by the artificial intelligence architecture provides a processing thread of instruction events for coaching treatment of a patient that is independent of the primary processing thread and is configured to trigger an action on the occurrence of a pre-defined set of input conditions.

Abstract: A computing architecture, system and method are disclosed for use in a medical device for providing decision support to a caregiver. The computing architecture includes a memory, a processor in communication with the memory, and an instance of a primary rules-based service configured to provide instruction events, the instance providing a primary processing thread of instruction events for coaching treatment of a patient. A software manager module includes an artificial intelligence architecture. The artificial intelligence architecture is configured to provide an instance of a conditional rules-based service for providing instruction events. The instance provided by the artificial intelligence architecture provides a processing thread of instruction events for coaching treatment of a patient that is independent of the primary processing thread and is configured to trigger an action on the occurrence of a pre-defined set of input conditions.

Abstract: A computing architecture, system and method are disclosed for use in a medical device for providing decision support to a caregiver. The computing architecture includes a memory, a processor in communication with the memory, and an instance of a primary rules-based service configured to provide instruction events, the instance providing a primary processing thread of instruction events for coaching treatment of a patient. A software manager module includes an artificial intelligence architecture. The artificial intelligence architecture is configured to provide an instance of a conditional rules-based service for providing instruction events. The instance provided by the artificial intelligence architecture provides a processing thread of instruction events for coaching treatment of a patient that is independent of the primary processing thread and is configured to trigger an action on the occurrence of a pre-defined set of input conditions.

Abstract: Techniques for routing event data from a field device, such as an external defibrillator, to a selected subset of a plurality of possible destinations are described. The event data may include physiological data of the patient, such as a 12-lead electrocardiogram (ECG). The destinations may be associated with one of a plurality of patient treatment centers, and may include, as examples, computing device, printers, displays, personal digital assistants, or web-accessible accounts. In some examples, a server maintains user-configurable information or rules for at least some of the destinations, and uses the information or rules for determining whether event data received from a field device is routed to the destination. In some examples, the server may also make the routing determination based on an analysis of event data, such as a determination as to whether the event data indicates that the patient is suspected to be experiencing an acute myocardial infarction.

Abstract: Techniques for routing event data from a field device, such as an external defibrillator, to a selected subset of a plurality of possible destinations are described. The event data may include physiological data of the patient, such as a 12-lead electrocardiogram (ECG). The destinations may be associated with one of a plurality of patient treatment centers, and may include, as examples, computing device, printers, displays, personal digital assistants, or web-accessible accounts. In some examples, a server maintains user-configurable information or rules for at least some of the destinations, and uses the information or rules for determining whether event data received from a field device is routed to the destination. In some examples, the server may also make the routing determination based on an analysis of event data, such as a determination as to whether the event data indicates that the patient is suspected to be experiencing an acute myocardial infarction.

Abstract: Techniques for routing event data from a field device, such as an external defibrillator, to a selected subset of a plurality of possible destinations are described. The event data may include physiological data of the patient, such as a 12-lead electrocardiogram (ECG). The destinations may be associated with one of a plurality of patient treatment centers, and may include, as examples, computing device, printers, displays, personal digital assistants, or web-accessible accounts. In some examples, a server maintains user-configurable information or rules for at least some of the destinations, and uses the information or rules for determining whether event data received from a field device is routed to the destination. In some examples, the server may also make the routing determination based on an analysis of event data, such as a determination as to whether the event data indicates that the patient is suspected to be experiencing an acute myocardial infarction.

Abstract: Optical media having markings that are non-interfering, or substantially non-interfering with readout of data from the optical media are disclosed. The optical media make use of certain formulations of color forming coatings described herein. Protective coatings used to enhance the color forming coatings are also presented. Methods for incorporating the coatings into the optical media are included. In preferred embodiments, the marking is formed in a photosensitive coating that is applied to the optical media, and then cured with a first light. A second light, having a substantially separate band of wavelengths from the first light, is used to image a marking into the coating. The coating is robust to many external influences, such as ambient environmental conditions, and physical wear.

Abstract: Disclosed herein is a system for recording a marking in the readout area of an optical media, wherein the marking does not interfere, or substantially interfere, with the readout of data from the optical media. The system disclosed herein is supportive of commercial production requirements. Markings may contain content as desired by the user of the system, including text, graphics, or other items. The marking is formed in a photosensitive coating that is applied to the optical media, and then cured with a first light. A second light, having a substantially separate band of wavelengths from the first light, is used to image a marking into the coating. The coating is robust to many external influences, such as ambient environmental conditions, and physical wear.

Abstract: Optical media having markings that are non-interfering, or substantially non-interfering with readout of data from the optical media are disclosed. The optical media make use of certain formulations of color forming coatings described herein. Protective coatings used to enhance the color forming coatings are also presented. Methods for incorporating the coatings into the optical media are included. In preferred embodiments, the marking is formed in a photosensitive coating that is applied to the optical media, and then cured with a first light. A second light, having a substantially separate band of wavelengths from the first light, is used to image a marking into the coating. The coating is robust to many external influences, such as ambient environmental conditions, and physical wear.

Abstract: A method and apparatus are provided for detecting and compensating for a kink in an optical fiber. A distal sensor (11) monitors a level of a parameter in an environment in which the distal sensor is immersed. The distal sensor is disposed at a tip of the optical fiber (17) and the optical fiber conveys green light signals and near infrared (NIR) light signals to and from the distal sensor. A photodetector (59') records the signal and reference values for the green light signals and the NIR light signals conveyed by the optical fiber at consecutive data points. A microcontroller (42) is electronically coupled to the photodetector and receives the signal and reference values for the green light signals and the NIR light signals. A kink in the optical fiber is detected when a change between NIR signal values recorded at a pair of consecutive data points recorded by the photodetector is greater than a predetermined threshold.