Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method of providing instruction on the performance of chest compressions includes providing a series of signals of a first type corresponding to the desired rhythm of delivery of chest compressions in a chest compression series, and providing signals of a second type which indicate a desired point in the first series. The desired point may be a point near the end of the chest compression series. The signals of the second type may be a voiced countdown to the end of the compression series. The signals of the first type may be a series of identical sounds delivered in the desired rhythm for chest compressions, and the signals of the second type may be sounds distinct from those of the first type which correspond to the rhythm of the last N compressions in the series. The desired point in the first series may include a first point at a desired interval from the first compression, where the interval is measured in number of compressions or elapsed time.

Abstract: A medical device capable of analyzing a patient's ECG, such as an external defibrillator, may be operated according to a method including the steps of: (a) determining if the patient is undergoing motion; (b) if it is determined that the patient is undergoing motion, providing an indication of patient motion; (c) after providing the indication, determining if the patient is undergoing motion, and if the patient is undergoing motion, starting ECG analysis after an elapsed time T0. The elapsed time T0 may be measured from a point in time prior to the commencement of step (a). The method may further include the steps of collecting ECG data of the patient, and initiating analysis of the ECG data prior to step (b). The step (b) may further include the step of interrupting the prior initiated ECG analysis. The method may further include the step of starting a timer when the ECG analysis is commenced, to measure elapsed time.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An apparatus configured to provide a defibrillation shock or pacing stimuli to a patient and methods for controlling the apparatus are provided. The method includes obtaining and analyzing physical parameters of the patient to determine whether the patient has a heart condition appropriately treated with a defibrillation shock or pacing stimuli, if the appropriate treatment is pacing stimuli, automatically determining a magnitude of the pacing stimuli and supplying the pacing stimuli to the patient at the magnitude and at a pacing rate.

Abstract: A pulse detection apparatus, software, and method that uses signal data obtained from an accelerometer placed on a patient's body to detect the presence of a cardiac pulse. The accelerometer is adapted to sense movement due to a cardiac pulse and produce accelerometer signal data in response thereto. Processing circuitry analyzes the accelerometer 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 energy feature, such as a relative change in energy. In another aspect, the feature may be a spectral energy 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 accelerometer signal data with a previously-identified pattern known to predict the presence of a cardiac pulse. Multiple features may also be obtained and classified to determine the presence of a cardiac pulse.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and apparatus determines the presence of a cardiac pulse in a patient by evaluating a physiological signal in the patient, preferably for the presence of characteristic heart sounds. The presence of a heart sound in a patient is determined by analyzing phonocardiogram (PCG) data obtained from the patient. Analyzing the PCG data may include evaluating temporal energy in the PCG data or evaluating spectral energy in the PCG data. Evaluating temporal energy in the PCG data may include estimating a first and second energy in the PCG data and comparing the first and second energy to determine a relative change in energy between them. Evaluating spectral energy in the PCG data may include calculating an energy spectrum of the PCG data and evaluating either the energy value or the frequency of a peak energy in the energy spectrum. The presence of a heart sound may also be determined by combining an evaluation of temporal energy with an evaluation of spectral energy in the PCG data.

Abstract: A medical device (e.g., an automated external defibrillator) automatically detects and reports cardiac asystole by first obtaining ECG data and calculating one or more ECG measures from the ECG data. The defibrillator evaluates the ECG data by classifying the ECG data into a class indicative of cardiac condition, wherein one class is indicative of cardiac asystole. If the defibrillator classifies the ECG data into the class indicative of cardiac asystole, the defibrillator reports the asystole classification on a display. The defibrillator may classify the ECG data into a rhythm class associated with a cardiac rhythm, such as asystole, and report the rhythm class of the ECG data on the display. The defibrillator may also suggest a procedure to undertake, such as a therapy (e.g., defibrillation for a shockable cardiac rhythm), based on the classification of the ECG data.