Abstract: In one embodiment, a WCD is described. The WCD includes a support structure configured to be worn by a patient and a processor coupled to the support structure. The WCD also includes an energy storage module configured to store an electrical charge and in communication with the processor. The WCD also includes a discharge circuit coupled to the energy storage module, the discharge circuit in communication with the processor and configured to discharge the stored electrical charge through a body of the patient. The processor is configured to detect an event at the WCD, classify the detected event, and determine an alarm onset time of the detected event based at least in part on the event classification. The processor is further configured to issue the alarm after the alarm onset time.

Abstract: In one example, an apparatus of a wearable cardioverter defibrillator (WCD) system comprises a support structure wearable by a patient, a plurality of electrocardiogram (ECG) electrodes to obtain an ECG signal, a processor to receive and analyze the ECG signal of the patient, wherein the processor is configured to monitor four or more channels of the ECG signal, a high voltage subsystem coupled with defibrillation electrodes configured to be coupled with patient, wherein the high voltage subsystem is to apply a therapeutic shock to the patient through the defibrillation electrodes in response to a shockable detected by the processor from the ECG signal. The processor measures a peak-to-peak amplitude of QRS complexes of the ECG signal, and detects asystole in the patient when the peak-to-peak amplitude of one or more QRS complexes is less than an asystole threshold. Other examples and related methods are disclosed herein.

Abstract: A Wearable Cardioverter Defibrillator (WCD) system has a processor that performs two different analyses to an ECG of the patient. A first-level analysis can be computationally economical, while a fuller second-level analysis can give shock/no-shock advice with more certainty. In some of these embodiments the second-level analysis of the ECG is performed only if the first-level analysis of the ECG detects a possible shockable condition. As such, the first-level analysis may operate as a gatekeeping function, often preventing the more computationally intensive second-level analysis from being performed. An advantage can be that the WCD system needs to store less charge, for powering the processor. In turn, this permits portions of the WCD system to be less bulky and weigh less.

Abstract: In embodiments, a WCD system includes electrodes with which it senses an ECG signal of the patient. A processor may detect sequential peaks within the ECG signal, measure durations of time intervals between the peaks, including between non-sequential peaks, and identify a representative duration that best meets a plausibility criterion. The plausibility criterion may be that the representative duration is the one that occurs the most often, i.e. is the mode. Then a heart rate can be computed from a duration indicated by the representative duration and, if the heart rate meets a shock condition, the WCD system may deliver a shock to the patient. An advantage can be that the representative duration can be close to a good R-R interval measurement of a patient, notwithstanding noise in the ECG signal that is in the shape of peaks.

Abstract: In one embodiment, a method to display data collected by a wearable cardioverter defibrillator (WCD) is described. The method includes receiving raw heart rate data from one or more electrocardiogram (ECG) sensors. The method also includes classifying the heart rate data into one of a ventricular (VT) and supra-ventricular (SVT) segments based at least in part on the QRS width, recording the classification and time stamp of each VT and SVT heart rate, and generating one or more interactive displays of the VT and SVT segments.

Abstract: Technologies and implementations for determining a respiration rate of a person from heart rate monitoring signal is disclosed.

Abstract: An external defibrillator system such as a WCD is also capable of providing transthoracic pacing and drug delivery (e.g., pain-reducing drugs and/or a sedatives) to a patient. The drug(s) may be included in the therapy electrode electrolyte and dispensed for defibrillation, cardioversion and/or pacing therapy. Alternatively, the drug(s) may be stored in a separate reservoir and dispensed during pacing therapy. The drug(s) may be dispensed to a patient after a successful defibrillation therapy. The pacing therapy may be delivered a set time-period after the drug(s) were dispensed. A relatively small electric current may be delivered to the area of the patient on which the drug(s) were dispensed to facilitate drug absorption.

Abstract: A wearable cardioverter defibrillator system includes a support structure that a patient can wear. The system also includes electrodes that contact the patient, and define two or more channels from which ECG signals are sensed. A processor may evaluate the channels by analyzing their respective ECG signals, to determine which contains less noise than the other(s). The analysis can be by extracting statistics from the ECG signals, optionally after first processing them, and then by comparing these statistics. These statistics may include tall peak counts, amplitudes of peaks compared to historical peak amplitudes, signal baseline shift, dwell time near a baseline, narrow peak counts, zero crossings counts, determined heart rates, and so on. Once the less noisy signal is identified, its channel can be followed preferentially or to the exclusion of other channels, for continuing monitoring and/or determining whether to shock the patient.

Abstract: In one embodiment, a WCD is described. The WCD includes a support structure configured to be worn by a patient and a processor coupled to the support structure. The WCD also includes an energy storage module configured to store an electrical charge and in communication with the processor. The WCD also includes a discharge circuit coupled to the energy storage module, the discharge circuit in communication with the processor and configured to discharge the stored electrical charge through a body of the patient. The processor is configured to detect an event at the WCD, classify the detected event, and determine an alarm onset time of the detected event based at least in part on the event classification. The processor is further configured to issue the alarm after the alarm onset time.

Abstract: A wearable cardioverter defibrillator (WCD) system includes a support structure that the patient may wear, and one or more sensors that may acquire patient physiological signals, such as ECG and others. A processor of the WCD system may determine diagnostics from the patient physiological signals. These diagnostics include a six-second ECG portion, heart rates as histograms, heart rates against QRS width, heart rate trends, clinical event counters, diagnostics relating to heart rate variability and about the atrial arrhythmia burden of the patient. In some embodiments, the WCD system includes a user interface with a screen that displays these diagnostics. In some embodiments, the WCD system exports these diagnostics for viewing by a different screen. When viewed, these diagnostics permit more detailed analysis of the state of the patient.

Abstract: In embodiments, a WCD system includes electrodes with which it senses an ECG signal of the patient. A processor may detect sequential peaks within the ECG signal, measure durations of time intervals between the peaks, including between non-sequential peaks, and identify a representative duration that best meets a plausibility criterion. The plausibility criterion may be that the representative duration is the one that occurs the most often, i.e. is the mode. Then a heart rate can be computed from a duration indicated by the representative duration and, if the heart rate meets a shock condition, the WCD system may deliver a shock to the patient. An advantage can be that the representative duration can be close to a good R-R interval measurement of a patient, notwithstanding noise in the ECG signal that is in the shape of peaks.

Abstract: A Wearable Cardioverter Defibrillator (WCD) system has a processor that performs two different analyses to an ECG of the patient. A first-level analysis can be computationally economical, while a fuller second-level analysis can give shock/no-shock advice with more certainty. In some of these embodiments the second-level analysis of the ECG is performed only if the first-level analysis of the ECG detects a possible shockable condition. As such, the first-level analysis may operate as a gatekeeping function, often preventing the more computationally intensive second-level analysis from being performed. An advantage can be that the WCD system needs to store less charge, for powering the processor. In turn, this permits portions of the WCD system to be less bulky and weigh less.

Abstract: In one embodiment, a method to differentiate between causes of noise in an electrocardiogram (ECG) signal. The method connecting to at least one sensing electrode and obtaining the ECG signal from the at least one sensing electrode. The method also includes detecting noise on the ECG signal and detecting ancillary conditions. The method also includes associating the noise on the ECG signal with at least one of the ancillary conditions and providing an actionable indication to a patient associated with the noise on the ECG signal.

Abstract: A medical device can include a housing, an energy storage module within the housing to store an electrical charge, and a defibrillation port to guide via electrodes the stored electrical charge to a person in need of medical assistance. The medical device can also include a processor to analyze patient physiological signal(s) that indicate heart viability. Positive measures of heart viability measures can qualify the patient for a customized treatment paradigm.

Abstract: In one embodiment, a WCD is described. The WCD includes a support structure configured to be worn by a patient and a processor coupled to the support structure. The WCD also includes an energy storage module configured to store an electrical charge and in communication with the processor. The WCD also includes a discharge circuit coupled to the energy storage module, the discharge circuit in communication with the processor and configured to discharge the stored electrical charge through a body of the patient. The processor is configured to detect an event at the WCD, classify the detected event, and determine an alarm onset time of the detected event based at least in part on the event classification. The processor is further configured to issue the alarm after the alarm onset time.

Abstract: The system and method provide for electrocardiogram analysis and optimization of patient-customized cardiopulmonary resuscitation and therapy delivery. An external medical device includes a housing and a processor within the housing. The processor can be configured to receive an input signal for a patient receiving chest compressions and to select at least one filter mechanism and to apply the filter mechanism to the signal to at least substantially remove chest compression artifacts from the signal. A real time dynamic analysis of a cardiac rhythm is applied to adjust and integrate CPR prompting of a medical device. Real-time cardiac rhythm quality is facilitated using a rhythm assessment meter.

Abstract: The system and method provide for electrocardiogram analysis and optimization of patient-customized cardiopulmonary resuscitation and therapy delivery. An external medical device includes a housing and a processor within the housing. The processor can be configured to receive an input signal for a patient receiving chest compressions and to select at least one filter mechanism and to apply the filter mechanism to the signal to at least substantially remove chest compression artifacts from the signal. A real time dynamic analysis of a cardiac rhythm is applied to adjust and integrate CPR prompting of a medical device. Real-time cardiac rhythm quality is facilitated using a rhythm assessment meter.

Abstract: A sensor substrate to detect heart failure decompensation comprises a substrate structure, wherein the substrate structure is configured to have a patient sit, recline, or lie on a surface of the substrate structure, one or more sensors in the substrate structure, wherein the one or more sensors are configured to detect a plurality of parameters of the patient when the patient is in contact with the substrate structure, an interface in the substrate structure to receive an output from the one or more sensors, and a processor, wherein the processor is configured to detect heart failure decompensation in the patient from the plurality of parameters detected by the one or more sensors when the patient is in contact with the substrate structure.

Abstract: The system and method provide for electrocardiogram analysis and optimization of patient-customized cardiopulmonary resuscitation and therapy delivery. An external medical device includes a housing and a processor within the housing. The processor can be configured to receive an input signal for a patient receiving chest compressions and to select at least one filter mechanism and to apply the filter mechanism to the signal to at least substantially remove chest compression artifacts from the signal. A real time dynamic analysis of a cardiac rhythm is applied to adjust and integrate CPR prompting of a medical device. Real-time cardiac rhythm quality is facilitated using a rhythm assessment meter.

Abstract: A wearable cardioverter defibrillator (WCD) system includes a support structure that the patient may wear, and one or more sensors that may acquire patient physiological signals, such as ECG and others. A processor of the WCD system may determine diagnostics from the patient physiological signals. These diagnostics include a six-second ECG portion, heart rates as histograms, heart rates against QRS width, heart rate trends, clinical event counters, diagnostics relating to heart rate variability and about the atrial arrhythmia burden of the patient. In some embodiments, the WCD system includes a user interface with a screen that displays these diagnostics. In some embodiments, the WCD system exports these diagnostics for viewing by a different screen. When viewed, these diagnostics permit more detailed analysis of the state of the patient.