This disclosure describes a solution to enable more useful and responsive methods for a person's wishes for resuscitation actions to be canceled or discontinued in the event of a medical event. In this solution, a person can record their do not resuscitate (DNR) wishes with more specificity. For instance, they can specify conditions for treatment or non-treatment in the event of a medical emergency that would otherwise call for live-saving procedures or the use of an automated external defibrillator (AED) device. Conditional DNR data can be recorded in an electronic device (e.g., emergency pendant or smart watch, or in an electronic device) implanted within or on the person's body. This data can also be stored in a database accessible via a network.

A system capable of self-adjusting both sound level and spectral content to improve audibility and intelligibility of electronic device audible cues. Audible cues are stored as sound files. Ambient noise is detected, and the output of the audible cues is altered based on the ambient noise. Various embodiments include processed sound files that are more robust in noisy environments.

A system capable of self-adjusting both sound level and spectral content to improve audibility and intelligibility of electronic device audible cues. Audible cues are stored as sound files. Ambient noise is detected, and the output of the audible cues is altered based on the ambient noise. Various embodiments include processed sound files that are more robust in noisy environments.

A portable medical treatment apparatus and interactive application that leads a user through a medically acceptable query flow for treating medical emergencies, including cardiac or pulmonary medical emergencies that can be treated with electrotherapy and other medical emergencies.

Provided is a WCD system, including a collection module, a master control module and a defibrillation module; the collection module collects a signal, and has human body motion detection and vibration prompting functions; the master control module has a VF/VT analysis algorithm to analyze the collected signal, and can control a power supply of the defibrillation module; the defibrillation module has the VF/VT analysis algorithm and a defibrillation control function. Through the independent defibrillation module and the independent collection module, the reliability of the system can be improved.

Disclosed are a power circuit and an automated external defibrillator including the same. The power circuit may include a battery-driven power source, and a transformer comprising a primary winding and N secondary windings, wherein N is an integer greater than or equal to 2, and wherein the primary winding is electrically coupled to the power source. The power circuit may include N charging and discharging branches, wherein the N charging and discharging branches are respectively connected to the N secondary windings and are cascaded in sequence. The power circuit may include a plurality of electrode plates configured to be connected to an external load, wherein electrode plates of the plurality of electrode plates are electrically coupled to one or more output nodes of the N charging and discharging branches.

Disclosed are systems and methods that implement a reporting function to capture subjective a subjective health assessment of the patient and to correlate that subjective health assessment with more objective patient parameter data, such as ECG waveforms and the like, in an attempt to identify nuances in the objective patient parameter data that can be used to predict future (or even imminent) adverse health events.

An automated external defibrillator (AED) includes: a battery configured to supply electric power to the AED; an indicator configured to visually provide predetermined information related to the AED and a remaining level of the battery; and an indicator controller configured to change a visual aspect of the indicator according to the remaining level.

In an example, an apparatus is described that includes an implantable housing, a heart signal sensing circuit configured to sense intrinsic electrical heart signals, a ventricular tachyarrhythmia (VT) detector circuit, operatively coupled to the heart signal sensing circuit, the detector circuit operable to detect a VT based on the sensed heart signals, a processor configured to control delivery of an anti-tachyarrhythmia pacing (ATP) therapy based on the detected VT, and an energy delivery circuit configured to deliver the ATP therapy in response to the detected VT, wherein the apparatus does not include a shock circuit capable of delivering a therapeutically-effective cardioverting or defibrillating shock.

A computer implemented method for determining heart arrhythmias based on cardiac activity that includes under control of one or more processors of an implantable medical device (IMD) configured with specific executable instructions to obtain far field cardiac activity (CA) signals at electrodes located remote from the heart, and obtain acceleration signatures, at an accelerometer of the IMD, indicative of heart sounds generated during the cardiac beats. The IMD is also configured with specific executable instructions to declare a candidate arrhythmia based on a characteristic of at least one R-R interval from the cardiac beats, and evaluate the acceleration signatures for ventricular events (VEs) to re-assess a presence or absence of at least one R-wave from the cardiac beats and based thereon confirming or denying the candidate arrhythmia.