In embodiments, a wearable cardioverter defibrillator (WCD) system includes a support structure for wearing by an ambulatory patient. When worn, the support structure maintains electrodes on the patient's body. Different pairs of these electrodes define different channels, and different patient ECG signals can be sensed from the channels. The ECG signals can be analyzed to determine which one is the best to use, for the WCD system to make a shock/no shock decision. The analysis can be according to widths of the QRS complexes, consistency of the QRS complexes, or heart rate agreement statistics.

An improved emergency response system includes a set of databases which relates to volunteer responders and patients, which is controlled by a central system computer. The system interacts with patients and volunteer responders through a wireless network to patient and volunteer communicator devices. The emergency response system calculates and provides a compensation to the volunteer responders based upon their on-duty time, proximity to enrolled patients, and optionally based upon their performance during training and cardiac rescue events.

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.

In some embodiments, a wearable medical device system includes a processor configured to determine whether a patient requires electrical therapy to be provided via a plurality of therapy electrodes, the electrical therapy comprising discharging at least a portion of a stored electrical charge from an energy storage module, and if so, cause a fluid deploying mechanism to deploy a portion of the stored fluid to an interface between at least two therapy electrodes and the patient's skin prior to providing the electrical therapy, the deployed portion of fluid adapted to decrease the impedance measured by an impedance measurement circuit, and cause the fluid deploying mechanism to deploy an additional portion of fluid in response to the impedance measured by the impedance measurement circuit increasing above a threshold during the electrical therapy.

Embodiments of the present invention include a system having at least one sensor configured to monitor a muscle oxygen saturation (SmO2) level of a patient who is undergoing cardiac arrest and to generate a signal representing SmO2 level; a user interface device; a processor communicably coupled to the user interface device, the processor configured to cause the user interface device to present an array of two or more possible nodes of a clinical decision support tree, wherein at least one of the nodes indicates cardiopulmonary resuscitation (CPR) treatment of the patient with no ventilation, and wherein at least another of the nodes indicates CPR treatment of the patient with active ventilation; determine which of the two or more possible nodes should be emphasized based on the SmO2 level; and update the array of the two or more possible nodes based on the determination.

A compact integrated patch may be used to collect physiological data. The patch may be wireless. The patch may be utilized in everyday life as well as in clinical environments. Data acquired by the patch and/or external devices may be interpreted and/or be utilized by healthcare professionals and/or computer algorithms (e.g., third party applications). Data acquired by the patch may be interpreted and be presented for viewing to healthcare professionals and/or ordinary users.

In some examples, an apparatus configured to be worn by a patient for cardiac defibrillation comprises sensing electrodes configured to sense a cardiac signal of the patient, defibrillation electrodes, therapy delivery circuitry configured to deliver defibrillation therapy to the patient via the defibrillation electrodes, communication circuitry configured to receive data of at least one physiological signal of the patient from at least one sensing device separate from the apparatus, a memory configured to store the data, the cardiac signal, and a machine learning algorithm, and processing circuitry configured to apply the machine learning algorithm to the data and the cardiac signal to probabilistically-determine at least one state of the patient and determine whether to control delivery of the defibrillation therapy based on the at least one probabilistically-determined patient state.

Systems and methods for monitoring physiologic response to Valsalva maneuver (VM) are disclosed. An exemplary patient monitor may detect a natural incidence of a VM session occurred in an ambulatory setting using a heart sound (HS) signal sensed from the patient. The patient monitor may include a physiologic response analyzer to sense patient physiologic response during the detected VM session, and generate a cardiovascular or autonomic function indicator based on the sensed physiologic response to the VM. Using the physiologic response to the VM, the system may detect a target physiologic event using the sensed physiologic response to the VM.

A magnetic-resonance-imaging-compatible (MRI-compatible) cardiac defibrillator includes: a defibrillator generator; first and second electric wires, each being electrically connected to said defibrillator generator; first and second defibrillation pads, each being electrically connected to a respective one of said first and second electric wires; and a low pass filter electrically connected between said defibrillator generator and said first and second electric wires to prevent a noise in an MRI image caused by a radiofrequency interference from the defibrillator as well as protect a patient and the defibrillator from MRI radiofrequency imaging signals, wherein said low pass filter has a cutoff frequency set such that differential mode noise at an MRI Larmor frequency is in an attenuated band while a system-test signal by said defibrillator generator is in a pass band of said low pass filter.

A supportive clothing article for a wearable cardioverter defibrillator (WCD), including a belt, the belt including a first end with a first portion of a fastener and a second end with a second portion of the fastener, wherein the belt is structured to fasten around the torso of patient below the chest area of the patient, the belt including a first conductive mesh portion adjacent the first end of the belt or the second end of the belt, two straps, a back portion extending from the belt at an intermediary position on the belt to each of the two straps, the back portion including a conductive mesh, a first support receptacle attached to and extending from the belt and attachable to one of the two straps, and a second support receptacle attached to and extending from the belt and attachable to the other of the two straps.