Physio-control, Inc.

Medtronic Physio-control Manufacturing Corporation

Medtronic Physio-control Corp.

Medtronic Emergency Response Systems, Inc.

D Craig Edwards

Kenneth J Peterson

Richard C Nova

John C Daynes

Peter C Wung

Randy L Merry

James S Neumiller

Thomas J McGrath

Rockland W Nordness

Christopher Pearce

Michael D McMahon

Eric T Hoierman

Joseph Leo Sullivan

Ronald Eugene Stickney

David R Hampton

Steven E Sjoquist

Cynthia P Jayne

Jeffery Scott Edwards

Stephen W Radons

David James Stewart

Mitchell Allen Smith

Shawn Robert Bertagnole

Dana K Lewis

Cheryl Protas

James Wootten

Kelly JoAnn Locke

Garrett Kotlarchik

Mark B Gausman

Alex Otman

Fred William Chapman

Robert G Walker

Daniel W Piraino

Ken N Peterson

Jennifer Elaine Hoss

Jennifer Goeman Jensen

Michell Smith

Kenneth J Petersen

Eric T Holerman

H Ward Silver

Alejandro A Otman

Medical device, system, method for capturing medical images includes an image capture and processing portion and an interchangeable medical tool portion. The image capture and processing portion is configured to capture and process a photo image, a video stream of images, or a coded image. The interchangeable medical tool portion is configured to connect to the image capture and processing portion. The image capture and processing portion further includes a configuration module configured to detect a connection of the medical tool portion to the image capture and processing portion, determine the type of the interchangeable medical tool portion connected, and adapt the image capture and processing portion to the detected type of the medical tool portion. The medical device may transmit medical images to an external device for interpretation by an expert, providing coaching to the user of the medical device, and for asset management, decision support, and/or other purposes.

Multi-function video system with interchangeable medical tool

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.

Decision support system using intelligent agents

Integrated devices for performing external chest compression (ECC) and defibrillation on a person and methods using the devices. Integrated devices can include a backboard, at least one chest compression member operably coupled to the backboard, and a defibrillator module operably coupled to the backboard. The integrated devices can include physiological sensors, electrodes, wheels, controllers, human interface devices, cooling modules, ventilators, cameras, and voice output devices. Methods can include defibrillating, pacing, ventilating, cooling, and performing ECC in an integrated, coordinated, and/or synchronous manner using the full capabilities of the device. Some devices include controllers executing methods for automatically performing the coordinated activities utilizing the device capabilities.

Integrated external chest compression and defibrillation devices and methods of operation

A modular external defibrillator system in embodiments of the teachings may include one or more of the following features: a base containing a defibrillator to deliver a defibrillation shock to a patient, (b) one or more pods each connectable to a patient via patient lead cables to collect at least one patient vital sign, the pods operable at a distance from the base, (c) a wireless communications link between the base and a selected one of the two or more pods to carry patient data from the selected pod to the base, the selection being based on which pod is associated with the base.

Defibrillator/monitor system having a pod with leads capable of wirelessly communicating

A user interface method and apparatus is described for use with a defibrillator () such as an automated external defibrillator (AED). The user interface comprises a plurality of layered user interface components which become available to the operator of the defibrillator () as they become necessary or appropriate during the operation of the defibrillator () and treatment of the patient. In one embodiment, the layered user interface components comprise an on/off actuator (), a lid (), an electrode package () containing defibrillation electrodes (), and a shock key (), as well as accompanying visual and aural instructions for operating the defibrillator () and for treating the patient.

User interface method and apparatus for a medical device

A modular external defibrillator system in embodiments of the teachings may include one or more of the following features: a base containing a defibrillator to deliver a defibrillation shock to a patient, (b) one or more pods each connectable to a patient via patient lead cables to collect at least one patient vital sign, the pods operable at a distance from the base, (c) a wireless communications link between the base and a selected one of the two or more pods to carry the at least one vital sign from the selected pod to the base, the selection being based on which pod is associated with the base.

Devices, methods, and software implementing those methods for providing communicating external chest compression (ECC) devices and defibrillation (DF) devices, where the ECC and DF devices can be physically separate from each other. Both ECC and DF devices are able to operate autonomously, yet able to communicate with and cooperate with another device when present. Some ECC and DF devices are adapted to be physically and/or electrically coupled to each other. One ECC device includes a backboard, a chest compression member, a communication module, controller, and at least one sensor, electrode lead or electrode. One DF device includes a defibrillator module, a controller, and a communication module that can communicate with the ECC communication module. The communicating ECC and DF devices may deliver ECC, pacing, defibrillation, ventilation, and cooling therapies, and may deliver instructions to human assistants, in a coordinated and cooperative fashion.

Cooperating defibrillators and external chest compression devices

A system is described that comprises a medical device on which is installed a version of software and a software agent communicatively coupled to the medical device without regard to the version of software installed on the medical device. An example of the medical device includes a defibrillator. The software agent may reside in a personal digital assistant and can be operated to communicate with the defibrillator to access the data stored in the defibrillator irrespective of the version of software of the defibrillator.

Enhanced interface for a medical device and a terminal

In one embodiment, a method is characterized by measuring a patient parameter associated with a human body; in response to the patient parameter, retrieving a maximum expected device parameter; and setting a limit on an energy source such that during defibrillation of the patient a defibrillation parameter associated with the maximum expected device parameter is within a defined tolerance. In another embodiment, a method is characterized by specifying at least one device parameter limit of a defibrillation unit; and in response to the at least one specified device parameter, determining a prediction confidence level at which the device parameter limit is exceeded for one or more values of a patient parameter. In another embodiment, a method is characterized by specifying a prediction confidence level to which a defibrillation unit device parameter is correlated with one or more values of a patient parameter; and in response to the specified prediction confidence level, determining a defibrillation unit device parameter from one or more values of a patient parameter. In other embodiments, circuitry is used to at least partially effect the foregoing-described methods; the circuitry can include and/or utilize virtually any combination of hardware, software, and/or firmware configured to effect the foregoing-described method, depending upon the design choices of the system designer. In other embodiments, signal bearing media at least partially bear the foregoing-described methods.

Method and device for controlling peak currents in a medical device

Growing community of inventors

Fall City, WA, United States of America

D Craig Edwards