A medical system includes an implantable cardiac monitoring device (ICMD) configured to monitor one or more physiological signals of a patient and in response to detecting a current or imminent arrhythmia in the patient, transmit first data to an external user device. The external user device is configured to: in response to receiving the first data from the ICMD, outputting a notification of the current or imminent arrythmia; confirm the presence of the current or imminent arrhythmia in the patient; and in response to confirming the current or imminent arrhythmia in the patient, cause an external defibrillator device to deliver a shock to the patient.

A guide system for indicating an activator of a defibrillator to a user including a motion detection circuit which determines motion of the defibrillator and generates at least one defibrillator motion mode signal, and a guide circuit which receives the defibrillator motion mode signal and causes the activator to be indicated to the user of the defibrillator.

“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.) and learning the patient's responses to detect/assess the patient's present condition and/or need for treatment; learning the patient's voice, activity, posture, time of day, etc. for implementing intelligent voice recognition/activation of the medical device.

Provided are an unmanned aerial vehicle executing relief work in an emergency such as a disaster, a relief system, and a relief method for performing relief work by using an unmanned aerial vehicle. An unmanned aerial vehicle capable of performing autonomous flight includes a receiving unit receiving an input of relief work from a user A2 and a control unit controlling the execution of the relief work based on content of the input received by the receiving unit.

A wearable defibrillator system includes a support structure with one or more electrodes in an unbiased state. A monitoring device monitors, for the long term, a parameter of the person that is not the person's ECG; rather, the monitored parameter can be the person's motion, a physiological parameter, or both. When a value of the monitored parameter reaches a threshold, such as when the person is having an actionable episode, the electrode becomes mechanically biased against the person's body, for making good electrical contact. Then, if necessary, the person can be given electrical therapy, such as defibrillation. As such, the electrodes of the wearable defibrillator system can be worn loosely for the long term, without making good electrical contact. This can reduce the person's aversion to wearing the defibrillation system.

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.

A headrest structure is provided and includes a body and two supporting rods. The body includes a covering cushion and an automated external defibrillator (AED). The AED is enclosed by the covering cushion. Each of the supporting rods includes a linking end and a combining end opposite to the linking end, and each of the supporting rods is connected to the body with the linking end so as to support the body. Based on this, the AED is assembled in the body to improve the applicability of the AED, so that patients experiencing cardiac arrest can be treated properly and instantly.

In some examples, an ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire data descriptive of the patient, one or more processors in communication with the at least one sensor, a patient care component executable by the one or more processors, and a limited functionality component executable by the one or more processors. The patient care component is configured to perform one or more primary operations of the ambulatory medical device at least in part by accessing the data descriptive of the patient. The limited functionality component is configured to exchange information with a communication device and to not affect the one or more primary operations of the ambulatory medical device.

A wearable medical monitoring (WMM) system may be worn for a long time. Some embodiments of WMM systems are wearable cardioverter defibrillator (WCD) systems. In such systems, ECG electrodes sense an ECG signal of the patient, and store it over the long-term. The stored ECG signal can be analyzed for helping long-term heart rate monitoring of the patient. The heart rate monitoring can be assisted a) by special filtering techniques that remove short-term variations inherent in patients' short-term heart rate determinations, and b) by indication techniques that indicate when conditions hampered sensing of the ECG signal too much for a reliable heart rate determination.

A mobile case for an AED includes a device for regulating the temperature in order to keep the AED within its operational temperature range of 0 to 45° C. for at least 48 hours. The case may also include sensors controlling temperature, global position and the technical status of the AED as well as a communication device which allows for reporting the data of the AED and its position to a control center.