Zoll Medical Corporation

Zoll Circulation, Incorporated

Zoll Medical Corpoaration

Qing Tan

Gary A Freeman

Frederick J Geheb

James E Brewer

Annemarie Elizabeth Silver

Martin E Bures

Weilun Quan

Naveed Zaidi

Frederick K Newey

Kristin A Spang

Thomas E Kaib

Frederick J Gehab

Naveed Zaida

Systems and methods related to the field of cardiac resuscitation, and in particular to devices for assisting rescuers in performing cardio-pulmonary resuscitation (CPR).

Defibrillator charging

A system for assisting a rescuer in providing cardiopulmonary resuscitation (CPR) chest compressions includes a motion sensor configured to generate motion sensor signals indicative of chest motion and a defibrillator. The defibrillator includes a processor and a display screen configured to provide CPR feedback and defibrillation information. The processor is configured to receive the motion sensor signals, analyze the motion sensor signals for features characteristic of a chest compression delivery type to distinguish between chest compression delivery types comprising manual compression, non-automated ACD, and automated ACD, and selectively provide the CPR feedback at the display screen based on an identification of the chest compression delivery type such that the CPR feedback includes a plurality of CPR parameters for the manual compression delivery type and remove at least portions of the CPR parameters from the display screen for the non-automated ACD and the automated ACD compression delivery types.

Automated detection of cardiopulmonary resuscitation chest compressions

Methods and systems that analyze electrocardiogram (ECG) data to identify whether it would be beneficial for a caregiver to administer an electric shock to the heart in an effort to get the heart back into a normal pattern and a consistent, strong beat. By conducting a running check for conditions that are pre-validated by a comprehensive patient database to have high predictive value (e.g., with a low false-positive rate), a shockable rhythm can be identified fast (e.g., less than 6 seconds, less than 3 seconds, possibly in less than a second) and without having to analyze ECG data for longer time segments than would otherwise be required using conventional methods.

Fast identification of shockable or non-shockable rhythms in ECG data

An apparatus for assisting a rescuer in performing chest compressions during CPR on a victim, the apparatus comprising a pad or other structure configured to be applied to the chest near or at the location at which the rescuer applies force to produce the chest compressions, at least one sensor connected to the pad, the sensor being configured to sense movement of the chest or force applied to the chest, processing circuitry for processing the output of the sensor to determine whether the rescuer is substantially releasing the chest following chest compressions, and at least one prompting element connected to the processing circuitry for providing the rescuer with information as to whether the chest is being substantially released following chest compressions.

Method and apparatus for enhancement of chest compressions during CPR

An example of a system for assisting a rescuer in providing CPR includes a motion sensor configured to generate signals indicative of chest motion during CPR chest compressions, and a defibrillator including a display screen configured to provide CPR feedback and defibrillation information and a processor configured to receive the signals, generate a compression waveform based on the signals, detect, in the compression waveform, features characteristic of chest compressions, compare the detected features to a predetermined criterion that distinguishes between manually delivered and compressions delivered by an automated compression device, and selectively provide the CPR feedback based on whether the compressions are the manually delivered or the automated compressions, where the selective provision of the CPR feedback includes displaying CPR parameters for the manually delivered compressions, and a removing from the display screen at least one CPR parameter of the CPR parameters for the automated compressions.

A system for assisting a rescuer in providing resuscitative treatment to a victim is described. The system includes a motion sensor configured to generate motion sensor signals that are indicative of motion of the chest of the victim during chest compressions, an input device configured to receive user input indicative of a type of chest compressions, an output device, and a processor, a memory, and associated circuitry, the processor communicatively coupled to the motion sensor, the input device, and the output device and is configured to receive the motion sensor signals and the user input indicative of the type of chest compressions, determine chest compression feedback for the rescuer based on the motion sensor signals, and control the output device to selectively provide the chest compression feedback for the rescuer based at least in part on the type of chest compressions indicated by the user input.

A defibrillator for guiding a rescuer based on a probability of defibrillation success includes at least one output device and a processor and associated memory, the processor being configured to receive at least two ECG signals over time for a cardiac arrest victim, the at least two ECG signals including at least a first ECG signal at a first point in time and a second ECG signal at a second point in time, process the at least two ECG signals to determine at least two parameters related to the at least two ECG signals, the at least two parameters forming a sequence of parameter sets, analyze a trajectory of the sequence of parameter sets, determine the probability of defibrillation success based on the analysis of the trajectory, and control the at least one output device to provide one or more caregiver prompts based on the probability of defibrillation success.

ECG rhythm advisory method

Systems and methods of processing raw electrocardiogram (ECG) waveform data of a patient into estimated real-time ECG waveform data. The method includes sensing at least one physical non-cardiac influence on the raw ECG waveform data, constructing a time domain computer model of the at least one physical, non-cardiac influence on the raw ECG waveform data, and adaptively filtering the raw ECG waveform data in the time domain using the constructed time domain computer model of the at least one physical non-cardiac influence on the raw ECG waveform data to form the estimated real-time ECG waveform data. The system can include an ECG device for collecting raw ECG waveform data, at least two ECG electrodes positioned on the patient and electrically coupled to the ECG device, and a processor coupled to the ECG device and configured to compute a time domain model of an artifact created by chest compressions.

Systems and methods for filtering ECG artifacts

An external defibrillator system is provided. The system includes: a graphical display; one or more sensors for obtaining data regarding chest compressions performed on a patient; and a controller configured to display on the graphical display numeric values for depth and/or rate of the chest compressions based upon the data from the one or more sensors. A method for using an external defibrillator including the steps of: obtaining data regarding chest compressions performed on a patient; and displaying on a graphical display screen of the defibrillator numeric values for depth and/or rate of the chest compressions based upon the data is also provided.

Defibrillator display

A system for assisting a rescuer in providing resuscitative treatment to a victim is described. An example of the system includes a processor configured to detect compression waveform features characteristic of manual chest compressions, automated chest compressions, and mechanically assisted active compression-decompression (ACD) chest compressions, an output device communicatively coupled to the processor, and a motion sensor, communicatively coupled to the processor and configured to generate signals indicative of motion of the victim's chest during chest compressions. The processor is further configured to receive the signals indicative of the motion of the chest, generate a compression waveform based on these signals, identify the compression waveform as one of a manual, an automated, and a mechanically assisted ACD chest compression waveform based on compression waveform features in the compression waveform, and control the output device to selectively provide chest compression feedback to the rescuer based on the identified compression waveform.

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Somerville, MA, United States of America

Qing Tan