Physio-control, Inc.

Medtronic Physio-control Corp.

West Affum Holdings Corp.

West Affum Holdings Dac

Spacelabs Medical, Inc.

Medtronic Emergency Response Systems, Inc.

Cynthia P Jayne

Ronald Eugene Stickney

David R Hampton

William Edward Crone

Paula Lank

Patricia O'Hearn

James W Taylor

Tae Hong Joo

Richard C Nova

Daniel Yerkovich

James M Owen

Joseph Leo Sullivan

Steven E Sjoquist

D Craig Edwards

Stephen W Radons

John C Daynes

Douglas Keith Medema

William E Saltzstein

Daniel W Piraino

Patrick F Kelly

Richard E Kunz

Anthony J Santolla

The presence of a cardiac pulse in a patient is determined by evaluating physiological signals in the patient. In one embodiment, a medical device evaluates optical characteristics of light transmitted into a patient to ascertain physiological signals, such as pulsatile changes in general blood volume proximate a light detector module. Using these features, the medical device determines whether a cardiac pulse is present in the patient. The medical device may also be configured to report whether the patient is in a VF, VT, asystole, or PEA condition, in addition to being in a pulseless condition, and prompt different therapies, such as chest compressions, rescue breathing, defibrillation, and PEA-specific electrotherapy, depending on the analysis of the physiological signals. Auto-capture of a cardiac pulse using pacing stimuli is further provided.

Pulse detection using patient physiological signals

The presence of a return of spontaneous circulation (ROSC) in a patient is determined by evaluating physiological signals in the patient. In one embodiment, methods and devices device evaluate optical characteristics of light transmitted into a patient to ascertain physiological signals, such as pulsatile changes in general blood volume proximate a light detector module. Using these features, the methods and devices determine whether pulsatile blood flow is present in the patient and also whether the patient has ROSC based on whether the pulsatile blood flow is present. Some examples of the methods and devices indicate that the patient has ROSC if the patient's pulsatile blood flow is detected after defibrillation therapy has been delivered to the patient. Other example methods and devices either prompt a user to deliver additional defibrillation therapy to a patient or automatically deliver additional defibrillation therapy to a patient if the patient does not have ROSC.

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

Appropriate cardiac therapy is determined by data sensed and analyzed by the disclosed defibrillators and other medical devices that one or both of treat and monitor a patient. The disclosed devices sense various patient physiological parameters including patient pulse and breathing data to determine whether the patient has a pulse and to determine if the patient is breathing. Depending on the analysis of the generated patient physiological data, the disclosed devices determine the appropriate therapy for the patient, which can include providing breathing assistance to the patient and providing electrotherapy and other therapies to the patient. Some of the disclosed medical devices can be wearable by the patient. The disclosed devices can include therapy modules like electrotherapy for delivering therapies to the patient while other devices monitor but do not deliver the therapies to the patient.

Pulse detection apparatus, software, and methods using patient physiological signals

The presence of a cardiac pulse in a patient is determined by evaluating fluctuations in an electrical signal that represents a measurement of the patient's transthoracic impedance. Impedance signal data obtained from the patient is analyzed for a feature indicative of the presence of a cardiac pulse. Whether a cardiac pulse is present in the patient is determined based on the feature in the impedance signal data. Electrocardiogram (ECG) data may also be obtained in time coordination with the impedance signal data. Various applications for the pulse detection of the invention include detection of PEA and prompting PEA-specific therapy, prompting defibrillation therapy and/or CPR, and prompting rescue breathing depending on detection of respiration.

Pulse detection method and apparatus using patient impedance

A cardiac pulse in a patient is determined by evaluating physiological signals in the patient. A medical device evaluates two or more different physiological signals, such as phonocardiogram (PCG) signals, electrocardiogram (ECG) signals, patient impedance signals, piezoelectric signals, and accelerometer signals for features indicative of the presence of a cardiac pulse. Using these features, the medical device determines whether a cardiac pulse is present in the patient. The medical device may also be configured to report whether the patient is in a VF, VT, asystole, or PEA condition, in addition to being in a pulseless condition, and prompt different therapies, such as chest compressions, rescue breathing, defibrillation, and PEA-specific electrotherapy, depending on the analysis of the physiological signals. Auto-capture of a cardiac pulse using pacing stimuli is further provided. The medical devices, or any portion thereof, can be worn by the patient or may be attached to the patient.

The presence of a cardiac pulse in a patient is determined by evaluating physiological signals in the patient. In one embodiment, a medical device evaluates two or more different physiological signals, such as phonocardiogram (PCG) signals, electrocardiogram (ECG) signals, patient impedance signals, piezoelectric signals, and accelerometer signals for features indicative of the presence of a cardiac pulse. Using these features, the medical device determines whether a cardiac pulse is present in the patient. The medical device may also be configured to report whether the patient is in a VF, VT, asystole, or PEA condition, in addition to being in a pulseless condition, and prompt different therapies, such as chest compressions, rescue breathing, defibrillation, and PEA-specific electrotherapy, depending on the analysis of the physiological signals. Auto-capture of a cardiac pulse using pacing stimuli is further provided.

Signal data obtained from a piezoelectric sensor placed on a patient's body is used to detect the presence of a cardiac pulse. The piezoelectric sensor has a transducing element adapted to sense movement due to a cardiac pulse and produce piezoelectric signal data in response thereto. Processing circuitry analyzes the piezoelectric signal data for a feature indicative of a cardiac pulse and determines whether a cardiac pulse is present in the patient based on the feature. In one aspect, the feature may be a temporal feature such as a relative change in energy. In another aspect, the feature may be a spectral feature such as the energy or frequency of a peak in the energy spectrum of the signal. In yet another aspect, the feature may be obtained by comparing the piezoelectric signal data with a previously-identified pattern known to predict the presence of a cardiac pulse. Multiple features may also be obtained from the piezoelectric signal data and classified to determine the presence of a cardiac pulse.

Apparatus, software, and methods for cardiac pulse detection using a piezoelectric sensor

Growing community of inventors

Redmond, WA, United States of America

Cynthia P Jayne