Abstract: Disclosed are a timeline-based navigation feature and a channel selection feature. The timeline-based navigation feature allows the user to visually identify significant events during an episode and quickly navigate the display of data to those significant events. Embodiments of such feature allow a user to quickly see that there is a shock delivered, for example, and click on that part of a timeline navigator to advance the detailed display of data to that point in the episode. The data channel selection feature enables selection of display channel(s) from among a set of available data channels. Embodiments of such feature enable a selection and/or deselection of various channels for display to minimize display of extraneous data and/or to select preferred channels of data for review.

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 WCD system is configured to monitor various characteristics of the WCD system including about the patient. The information collected by the WCD is generally referred to as “patient information.” The WCD system is further configured to transmit certain of the patient information to different recipients based on predetermined profiles with which one or more of the recipients is associated. In various embodiments, different sets or subsets of the patient information may be sent to different recipients.

Abstract: A WCD system is configured to detect when a therapy administered to a patient by the WCD system is unsuccessful, and in response determine whether to send notifications to remote non-witness responders. The WCD system may be configured to decide to send such notifications after the WCD system determines it has administered a predetermined number of unsuccessful shocks to the patient. The predetermined number of unsuccessful shocks may be the maximum number of unsuccessful shocks the WCD system will administer to a patient, or every Xth shock (e.g., 3rd shock). The WCD system can be configured to periodically resend the notification. The notifications may be in the form of SMS, voice messages, emails, app notifications, etc. sent to cell phones, smartphones, computers, laptops, tablets, etc. of the responders either directly, via a server, or via a CAD-coupled server.

Abstract: Disclosed are a timeline-based navigation feature and a channel selection feature. The timeline-based navigation feature allows the user to visually identify significant events during an episode and quickly navigate the display of data to those significant events. Embodiments of such feature allow a user to quickly see that there is a shock delivered, for example, and click on that part of a timeline navigator to advance the detailed display of data to that point in the episode. The data channel selection feature enables selection of display channel(s) from among a set of available data channels. Embodiments of such feature enable a selection and/or deselection of various channels for display to minimize display of extraneous data and/or to select preferred channels of data for review.

Abstract: A WCD system is configured to monitor various characteristics of the WCD system including about the patient. The WCD system is further configured to transmit a notification of a notifiable event to responders that are outside a local area of the patient, and to silence the notification for any responder(s) that are inside the local area of the patient.

Abstract: In embodiments, a wearable medical system (WMS) for an ambulatory patient, which can be a wearable cardioverter defibrillator (WCD) system, analyzes the patient's ECG signal to generate a detection outcome. The WMS also has an ambulatory user interface that outputs a human-visible indication. A programming device, such as a PC, a tablet, etc., establishes a communication link with the WMS during an in-person session with the patient. The programming device may include a programming screen that reproduces the human-visible indication in real time. An advantage can be that the person programming the WMS need not strain to look also at the ambulatory user interface at the time they are looking at the programming device. Another advantage can be that the patient will recognize that he or she is better protected, and have their confidence in the WMS increased, and therefore better comply with wearing the WMS as required.

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 of alerting a user of a WCD is described. The method includes receiving an alert from the WCD on a remote device associated with the user and in communication with the WCD and transcribing the alert into a message for the user. The method also includes personalizing the message for the user and delivering the message to the user via the remote device.

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: A WCD system is configured to monitor various characteristics of the WCD system including about the patient. The information collected by the WCD is generally referred to as “patient information.” The WCD system is further configured to transmit certain of the patient information to different recipients based on predetermined profiles with which one or more of the recipients is associated. In various embodiments, different sets or subsets of the patient information may be sent to different recipients.

Abstract: In one embodiment, a method of alerting a user of a WCD is described. The method includes receiving an alert from the WCD on a remote device associated with the user and in communication with the WCD and transcribing the alert into a message for the user. The method also includes personalizing the message for the user and delivering the message to the user via the remote device.

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 WCD system is configured to monitor various characteristics of the WCD system including about the patient. The information collected by the WCD is generally referred to as “patient information.” The WCD system is further configured to transmit certain of the patient information to different recipients based on predetermined profiles with which one or more of the recipients is associated. In various embodiments, different sets or subsets of the patient information may be sent to different recipients.

Abstract: A Wearable Cardiac Defibrillator (WCD) system is configured to be worn by a patient who carries a mobile communication device. The mobile communication device has a user interface that is configured to enable the patient to enter wireless inputs. The WCD system includes a communication module that is configured to establish a local commlink with the mobile communication device. The mobile communication device can receive shock data from the WCD system after a shock is applied to the patient, can determine a location of the WCD system based on a location of the mobile communication device, and can transmit the shock data and the location data to a central call center of a remote assistance system. The central call center can enhance the operation of the WCD system by contacting the patient, contacting and emergency contact, and/or contacting a local emergency medical system (EMS).

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 medical device troubleshooting system is provided to interact with and assist a user in resolving operational problems with a medical device. The troubleshooting system may detect an operational problem with the medical device and initiate a troubleshooting session to output a series of different tailored prompts for a user to rectify the glitch. The user prompts are selected and presented in an adaptive manner based on patient specific factors. Selection of prompts and prompt presentation may be responsive to user actions, changes in the patient, and/or the condition of the operational problem. The troubleshooting system checks the condition of the operational problem after presentation of each user prompt and determines a next user prompt accordingly, or ends the session. When the operational problem persists after ending of the session, an external support resource may be contacted.

Abstract: A medical wearable matching system is provided that pre-assesses a fit of a wearable article of medical device for a patient. The matching system may facilitate fitting and selection of a class of wearable articles for a patient. The matching system may also evaluate potential effects of the fit on operations of the medical device. Patient specific data, such as measurements, are fed into a fit prediction artificial intelligence (“AI”) model. The fitting AI model is trained with fitting data of previous patients to predict a class of wearable medical article that is likely, above a threshold amount, to provide a target fit for the patient. The patient specific information may also be fed into an adverse potential AI model. The adverse potential AI model is trained with patient experience data describing adverse operations of a wearable article worn by prior patients.

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.