Abstract: “Artificial Intelligence” or “AI” technology can be applied to Wearable Cardioverter Defibrillators (“WCDs”) and other wearable medical equipment in various ways, including garment fitting and adjustment, analyzing electrocardiogram (“ECG”), other sensor data and/or other patient data in real time to detect/assess the patient's present condition and/or need for treatment for cardiac and other conditions (e.g., stroke, coughing, apnea, etc.), detect imminent failure of the wearable medical device components, capture and report data collected from the patient for presenting to clinicians, adjust thresholds for alarms and notifications based on patient's responses, improve patient compliance based on the patient's past non-compliant behavior and actions that resulted in the patient becoming compliant, provide tests to the patient, and learn the patient's responses to detect/assess the patient's present condition and/or need for treatment.

Abstract: A wearable cardioverter defibrillator (WCD) system comprises a plurality of patient parameter electrodes and a plurality of defibrillator electrodes to contact a patient's skin when the WCD is delivering therapy to the patient, a processor to receive one or more patient parameters from the one or more patient parameter electrodes, an energy storage device to store a charge to provide electrical therapy to the patient via the plurality of defibrillator electrodes, and a non-invasive blood pressure (NIBP) monitor to obtain a blood pressure measurement of the patient and to provide the blood pressure measurement to the processor. The processor is to determine whether to provide electrical therapy to the patient based on the one or more patient parameters during an episode, and to obtain the blood pressure measurement from the NIBP monitor during the episode.

Abstract: In one embodiment, a method to alert a user of a wearable cardioverter defibrillator (WCD) is described. The method includes determining when a system issue is resolved and issuing an alert when the system issue is resolved. In some embodiments, the method may detect the system issue and issuing a system alert based at least in part on the system issue. The method may then monitor a status of the system issue. In some instances, the method may detect an abnormality in system operation sand determine a severity rating for the abnormality. The method may determine if the abnormality satisfies a time duration threshold based at least in part on the severity rating.

Abstract: A wearable cardioverter defibrillator (WCD) comprises a plurality of electrocardiography (ECG) electrodes and a plurality of defibrillator electrodes to contact the patient's skin when the WCD is delivering therapy to the patient, a preamplifier coupled to the ECG electrodes to obtain ECG data from the patient. A processor to receive the ECG data from the preamplifier, and a high voltage subsystem to provide a defibrillation voltage to the patient through the plurality of defibrillator electrodes in response to a shock signal received from the processor. In a first power mode of a range of power modes, the preamplifier is configured to perform low-fidelity ECG acquisition and the processor is configured to perform simple arrythmia detection analysis, and in a second mode of the range of power modes, the preamplifier is configured to perform high-fidelity ECG acquisition and the processor is configured to perform complex arrythmia detection analysis.

Abstract: A wearable cardioverter defibrillator (WCD) comprises a plurality of electrocardiography (ECG) electrodes and a plurality of defibrillator electrodes to contact the patient's skin when the WCD is delivering therapy to the patient, a preamplifier coupled to the ECG electrodes to obtain ECG data from the patient. a processor to receive the ECG data from the preamplifier, and a high voltage subsystem to provide a defibrillation voltage to the patient through the plurality of defibrillator electrodes in response to a shock signal received from the processor. In a first power mode of a range of power modes the preamplifier is configured to perform low-fidelity ECG acquisition and the processor is configured to perform simple arrythmia detection analysis, and in a second mode of the range of power modes the preamplifier is configured to perform high-fidelity ECG acquisition and the processor is configured to perform complex arrythmia detection analysis.

Abstract: A wearable cardiac monitoring device is described. The wearable cardiac monitoring device includes a sensor, a support structure configured to position the sensor to sense a cardiac parameter when the support structure is worn by a patient, and a processor communicatively coupled to the sensor. The processor is configured to detect an event at the wearable cardiac monitoring device, determine a category of the detected event based on at least one of a plurality of device conditions, and determine whether the detected event has ended. The processor is further configured to determine an offset time for the categorized event based on the at least one of the plurality of device conditions and delay a resolution of an alert based on the offset time.

Abstract: Disclosed are embodiments directed to security methods applied to connections between components in a distributed (networked) system including medical and non-medical devices, providing secure authentication, authorization, patient and device data transfer, and patient data association and privacy for components of the system.

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: Disclosed are embodiments directed to security methods applied to connections between components in a distributed (networked) system including medical and non-medical devices, providing secure authentication, authorization, patient and device data transfer, and patient data association and privacy for components of the system.

Abstract: In one embodiment, a wearable cardioverter defibrillator (WCD) is described. The WCD includes a support structure worn by a patient. A processor is coupled to the support structure. The WCD also includes a discharge circuit coupled to an energy storage module, the discharge circuit configured to discharge the stored electrical charge through a body of the patient. The wearable cardioverter defibrillator also includes a user interface housing at least one sensor and responsive to changes in device orientation. The processor is configured to detect a motion at the user interface and determine when the motion is patient-activated. When the motion is patient-activated, the processor determines a direction of rotation. The processor determines an orientation of a display at the user interface based on the direction of rotation and orients the display at the user interface to appear upright to the patient.

Abstract: A wearable cardioverter defibrillator (WCD) system comprises a plurality of patient parameter electrodes and a plurality of defibrillator electrodes to contact a patient's skin when the WCD is delivering therapy to the patient, a processor to receive one or more patient parameters from the one or more patient parameter electrodes, an energy storage device to store a charge to provide electrical therapy to the patient via the plurality of defibrillator electrodes, and a non-invasive blood pressure (NIBP) monitor to obtain a blood pressure measurement of the patient and to provide the blood pressure measurement to the processor. The processor is to determine whether to provide electrical therapy to the patient based on the one or more patient parameters during an episode, and to obtain the blood pressure measurement from the NIBP monitor during the episode.

Abstract: Disclosed are embodiments directed to security methods applied to connections between components in a distributed (networked) system including medical and non-medical devices, providing secure authentication, authorization, patient and device data transfer, and patient data association and privacy for components of the system.

Abstract: A wearable cardioverter defibrillator (WCD) system comprises a plurality of patient parameter electrodes and a plurality of defibrillator electrodes to contact a patient's skin when the WCD is delivering therapy to the patient, a processor to receive one or more patient parameters from the one or more patient parameter electrodes, an energy storage device to store a charge to provide electrical therapy to the patient via the plurality of defibrillator electrodes, and a non-invasive blood pressure (NIBP) monitor to obtain a blood pressure measurement of the patient and to provide the blood pressure measurement to the processor. The processor is to determine whether to provide electrical therapy to the patient based on the one or more patient parameters during an episode, and to obtain the blood pressure measurement from the NIBP monitor during the episode.

Abstract: Embodiments of this disclosure are directed to a wearable cardioverter defibrillator (“WCD”) system design in which a WCD implements an alert prioritization scheme to provide the patient with feedback in an order that is less likely to cause confusion. Different conditions (e.g., device status, equipment condition, or physiologic condition) are prioritized based on an analysis of severity of the condition and timeliness of user action needed. The prioritization scheme defines what alert, if any, is presented to the user by the WCD system as a result of various conditions. Generally stated, an alert for the highest priority condition currently detected is presented to the user and maintained until that condition either changes or becomes surpassed in the prioritization scheme.

Abstract: Disclosed are embodiments directed to security methods applied to connections between components in a distributed (networked) system including medical and non-medical devices, providing secure authentication, authorization, patient and device data transfer, and patient data association and privacy for components of the system.

Abstract: Embodiments of this disclosure are directed to a wearable cardioverter defibrillator (“WCD”) system design in which a WCD implements an alert prioritization scheme to provide the patient with feedback in an order that is less likely to cause confusion. Different conditions (e.g., device status, equipment condition, or physiologic condition) are prioritized based on an analysis of severity of the condition and timeliness of user action needed. The prioritization scheme defines what alert, if any, is presented to the user by the WCD system as a result of various conditions. Generally stated, an alert for the highest priority condition currently detected is presented to the user and maintained until that condition either changes or becomes surpassed in the prioritization scheme.

Abstract: In one embodiment, a method to alert a user of a wearable cardioverter defibrillator (WCD) is described. The method includes determining when a system issue is resolved and issuing an alert when the system issue is resolved. In some embodiments, the method may detect the system issue and issuing a system alert based at least in part on the system issue. The method may then monitor a status of the system issue. In some instances, the method may detect an abnormality in system operation sand determine a severity rating for the abnormality. The method may determine if the abnormality satisfies a time duration threshold based at least in part on the severity rating.

Abstract: “Artificial Intelligence” or “AI” technology can be applied to Wearable Cardioverter Defibrillators (“WCDs”) and other wearable medical equipment in various ways, including garment fitting and adjustment, analyzing electrocardiogram (“ECG”), other sensor data and/or other patient data in real time to detect/assess the patient's present condition and/or need for treatment for cardiac and other conditions (e.g., stroke, coughing, apnea, etc.), detect imminent failure of the wearable medical device components, capture and report data collected from the patient for presenting to clinicians, adjust thresholds for alarms and notifications based on patient's responses, improve patient compliance based on the patient's past non-compliant behavior and actions that resulted in the patient becoming compliant, provide tests to the patient, and learn the patient's responses to detect/assess the patient's present condition and/or need for treatment.

Abstract: “Artificial Intelligence” or “AI” technology can be applied to Wearable Cardioverter Defibrillators (“WCDs”) and other wearable medical equipment in various ways, including: garment fitting and adjustment; analyzing electrocardiogam (“ECG”), other sensor data and/or other patient data (e.g., age, gender, previous medical conditions, etc.) in real time to detect/assess the patient's present condition and/or need for treatment for cardiac and other conditions (e.g., stroke, coughing, apnea, etc.); detecting imminent failure of the wearable medical device components; capturing and reporting data collected from the patient for presenting to clinicians; adjusting thresholds for alarms and notifications based on patient's responses; improving patient compliance based on the patient's past non-compliant behavior and actions that resulted in the patient becoming compliant; providing tests to the patient (e.g., grip test, dexterity tests, balance tests, etc.

Abstract: A wearable cardioverter defibrillator (WCD) comprises a plurality of electrocardiography (ECG) electrodes and a plurality of defibrillator electrodes to contact the patient's skin when the WCD is delivering therapy to the patient, a preamplifier coupled to the ECG electrodes to obtain ECG data from the patient. a processor to receive the ECG data from the preamplifier, and a high voltage subsystem to provide a defibrillation voltage to the patient through the plurality of defibrillator electrodes in response to a shock signal received from the processor. In a first power mode of a range of power modes the preamplifier is configured to perform low-fidelity ECG acquisition and the processor is configured to perform simple arrythmia detection analysis, and in a second mode of the range of power modes the preamplifier is configured to perform high-fidelity ECG acquisition and the processor is configured to perform complex arrythmia detection analysis.