Physio-control, Inc.

Medtronic Emergency Response Systems, Inc.

Patricia O'Hearn

Cynthia P Jayne

Paula Lank

Ronald Eugene Stickney

David R Hampton

James W Taylor

Tae Hong Joo

Daniel Yerkovich

William Edward Crone

Richard C Nova

John C Daynes

William E Saltzstein

Patrick F Kelly

Anthony J Santolla

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

An automated external defibrillator automatically determines the type of patient to which it is attached based on patient-specific information entered by the user. The defibrillator includes electrodes that are adapted for placement on a patient, a pulse generator connected to the electrodes, and processing circuitry that controls the defibrillation pulse delivery from the pulse generator. The automated external defibrillator causes a defibrillation pulse to be delivered to the patient in accordance with the determined patient type. A user interface having a user input connected to the processing circuitry enables the user of the defibrillator to enter patient-specific information. The user may enter the patient-specific information by interacting with the user input during a time period in relation to a prompt from the defibrillator. In another aspect, data pertaining to identification of the type of patient connected to the electrodes may be recorded with event data in a memory.

Growing community of inventors

Mercer Island, WA, United States of America

Patricia O'Hearn