Physio-control, Inc.

Medtronic, Inc.

Medtronic Physio-control Manufacturing Corporation

Medtronic Physio-control Corp.

Other

Children's Medical Center Corporation

Oridion Medical 1987 Ltd.

Physio-control Manufacturing Corporation

Senzime Ab

Oridion Medical Ltd.

David R Hampton

Ronald Eugene Stickney

Cynthia P Jayne

Richard C Nova

James W Taylor

Tae Hong Joo

Paula Lank

Patricia O'Hearn

Gregory T Kavounas

Isabelle L Banville

Daniel Yerkovich

William Edward Crone

Robert A Niskanen

Fred William Chapman

John C Daynes

James M Owen

Joseph Leo Sullivan

Steven E Sjoquist

D Craig Edwards

Stephen W Radons

Rene Ann Young Mitchell

Douglas Keith Medema

Willem Boute

Wilbert Wesselink

Paul W Schmitt

Ephraim A Carlebach

William E Saltzstein

Robert Eugene Smith

Patrick F Kelly

Baruch Shlomo Krauss

Jos W Van Hove

Kathleen E Briscoe

Anna Pietersma

René Ann Young Mitchell

Baruch Schlomo Krauss

Baruch Kraus

The invention relates to a method () performed by an anesthetizing monitoring unit () configured to generating an improved evoked electromyography response signal (Σ), the method comprising transmitting () a stimuli signal (S) using an output port () of the anesthetizing monitoring unit (), receiving () an evoked electromyography, EMG, response signal (S), having a duration (T), in response to the transmitted stimuli signal (S) using an input port () of the anesthetizing monitoring unit (), estimating () a periodic noise waveform (S), having the duration (T), by using temporal segments of a noise signal (S), generating () the improved response signal (Σ) by subtracting the noise waveform from the response signal (S). The invention further relates to an anesthetizing monitoring unit () and an anesthetizing monitoring system ().

Anesthetizing monitoring system, unit and method therefore

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

An external defibrillator system is disclosed that generates and applies a diagnostic signal to the patient in conjunction with defibrillation therapy. The diagnostic signal is designed to elicit a physiologic response from the patient's heart, namely, mechanical cardiac response and electrical cardiac response, electrical cardiac response only, or no cardiac response. Depending upon the type of cardiac response detected, the system selects an appropriate resuscitation protocol that considers the likely responsiveness of the patient to defibrillation therapy. In one practical embodiment, a stimulus signal is applied to patients that show mechanical and electrical capture in response to the diagnostic signal. The stimulus signal maintains the mechanical capture (and, therefore, perfusion) for a period of time prior to the delivery of a defibrillation pulse.

System and method for using diagnostic pulses in connection with defibrillation therapy

Methods and apparatus are provided for determining a defibrillation treatment protocol in an external defibrillator whereby a user may override a CPR-first default protocol. The method includes following steps configured in a defibrillator controller of issuing an inquiry; waiting for a response to the inquiry for a set time; ordering a CPR treatment protocol if no response is received within the set time; analyzing a response; ordering a CPR treatment protocol upon receiving a non-affirmative response to the inquiry; and ordering a shock treatment protocol upon receiving an affirmative response to the inquiry. Upon selecting a shock treatment protocol, the defibrillator performs a shock analysis under the shock treatment protocol, and either orders a CPR treatment protocol if shock treatment is not indicated by the shock analysis or provides a defibrillation shock if shock treatment is indicated by the shock analysis. Queries may be presented to a user in visual, audible, or both visual and audible format.

Defibrillator with overridable CPR-first protocol

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 system and method are provided for the detection of a heart-related condition by obtaining information in real-time when a condition is initially identified as potentially occurring. A physical exercise and recovery episode is initially detected from physiological signals sensed in a patient. Once detected, a HR-ST segment deviation hysteresis analysis is performed in an implantable medical device (IMD) from certain physiological signals over portions of the exercise and recovery episode to identify the probability that a certain condition is occurring. Once a desired level of probability that the heart-related condition has been detected exists, data utilized in the analysis can be transmitted remotely for clinical review and confirmation of the device's detection of the condition. The patient may be prompted to answer questions related to symptoms that patient is experiencing through an input device in order further confirm the probability that the condition is occurring in the patient.

System and method for improved ischemia and acute myocardial infarction detection

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.

Improved apparatus and methods for monitoring, diagnosing and treating at least one medical respiratory condition of a patient are provided, including a medical data input interface adapted to provide at least one medical parameter relating at least to the respiration of the patient, and a medical parameter interpretation functionality () adapted to receive the at least one medical parameter relating at least to the respiration () of the patient and to provide at least one output indication () relating to a degree of severity of at least one medical condition indicated by the at least one medical parameter.

Automated interpretive medical care system and methodology

Growing community of inventors

Woodinville, WA, United States of America

David R Hampton