An event-driven medical treatment data notification system is disclosed. Embodiments are directed to a treatment protocol for detecting Return of Spontaneous Circulation by employing a Doppler effect analysis on a signal transmitted at a patient's heart. A reflected signal is evaluated to determine if the patient's heart is moving, thereby indicating that the patient's heart is beating and, therefore, that blood is flowing.

A device for first responders and medical professionals to assist during the administration of cardiopulmonary resuscitation (CPR) on a patient in need thereof. The device may also be used to train individuals on how to properly perform cardiopulmonary resuscitation by providing initial instructions about the process as well as real-time monitoring of the student's technique and providing real-time instructive feedback to the student so that the student may improve their skills. The invention also includes a method of using the device to coach first responders and medical professionals as they perform cardiopulmonary resuscitation (CPR) on a patient in need thereof as well as a method of using the device to teach students about cardiopulmonary resuscitation (CPR).

Electrophysiologic biomarkers for prognostication of neurological outcome are described herein. An inverse correlation was found between timing of a cortical spreading depolarization (SD) wave and neurological outcome as tested at 24 hours post-CPR. Additionally, a minor image of this SD was identified as a “repolarization (RP) wave.” Quantifying features of SD and RP during cardiac arrest and cardiopulmonary resuscitation (CPR) provide important metrics for diagnosis and prognosis of neurological injury from hypoxia-ischemia and can serve as an early prognostication tool for predicting outcome at subsequent days after successful CPR. This discovery may also allow for novel therapeutic interventions to improve neurological recovery after hypoxia-ischemia insults.

A method for performing CPR with a mobile defibrillator (AED) unit can include detecting, via an application on a user device, a connection of a mobile AED unit to the user device; detecting, via the application, that pads have been attached to a subject, the pads comprising at least one accelerometer; recording, via the application, EKG measurements of the subject made by the pads; receiving accelerometer data from the at least one accelerometer; analyzing the accelerometer data to determine a breathing pattern of the subject; and based on the determined breathing pattern, initiating a CPR protocol.

Methods and systems that analyze electrocardiogram (ECG) data to identify whether it would be beneficial for a caregiver to administer an electric shock to the heart in an effort to get the heart back into a normal pattern and a consistent, strong beat. By conducting a running check for conditions that are pre-validated by a comprehensive patient database to have high predictive value (e.g., with a low false-positive rate), a shockable rhythm can be identified fast (e.g., less than 6 seconds, less than 3 seconds, possibly in less than a second) and without having to analyze ECG data for longer time segments than would otherwise be required using conventional methods.

The invention provides, in some aspects, an automated external defibrillator (AED) that includes defibrillation circuitry capable of delivering a therapeutic shock to a patient. The AED also includes an input that receives a patient ECG signal representing real-time electrical activity of a heart of the patient and that may include artifacts resulting from cardiopulmonary resuscitation of the patient. The AED generates a real-time alert from a patient data image that is based on the patient ECG signal to effect application of the therapeutic shock to the patient. The AED generates that alert based at least in part on a shock recommendation of an artificial intelligence (AI) engine that analyzes the patient data image using a machine learning (ML) model trained with training data images. The patient data image comprises pixels whose values are a function of magnitudes of components of representations of respective time-slices of the patient ECG signal in a frequency domain. At least one training data image comprises pixels whose values are a function of magnitudes of components of representations of respective time-slices of a respective training ECG signal in the frequency domain.

A defibrillator having a pair of electrodes for delivering an artifact-compensated defibrillation shock and a method thereof is provided. The defibrillator can be deployed rapidly while administering a cardio-pulmonary resuscitation (CPR) on the patient. Upon detection of an end of the CPR operation, a correlation signal indicative of signal corruption is detected and analyzed rapidly to determine an appropriate energy level discharged across the pair of electrodes. Thereafter, a notification signal is sent to the user of the defibrillator prior to delivering the defibrillation shock to the patient. The artifact-compensated defibrillation shock is delivered if for a predetermined period of time no movement is detected.

Resuscitation devices for performing external chest compression (ECC) and defibrillation on a person and methods using the devices are disclosed. The disclosed devices can include chest compression members and a communication module that can communicate with a remote command center. The disclosed devices can also include an optional defibrillation module that may be integrated. The devices can be coupled to a backboard and can include physiological sensors, electrodes, wheels, controllers, human interface devices, cooling modules, ventilators, cameras, and voice output devices. Methods can include defibrillating, pacing, ventilating, cooling, and performing ECC in an integrated, coordinated, and/or synchronous manner using the full capabilities of the device. Some devices include controllers executing methods for automatically performing the coordinated activities utilizing the device capabilities.

Among other things, we describe a system that includes a first medical device for treating a patient at an emergency care scene, the first medical device including a processor and a memory configured to detect a request for a connection between the first medical device and a second medical device for treating the patient at the emergency care scene, the request for connection including an identifier of the second medical device, responsive to receiving the request for connection, enabling a wireless communication channel to be established between the first medical device and the second medical device based on the identifier of the second medical device and an identifier of the first medical device; and enabling transmission and/or exchange of patient data between the first medical device and the second medical device via the wireless communication channel. Such communications with more than two devices may also be possible.

An automatic external defibrillator includes an AED body having a pair of defibrillation pads applied to a chest of a rescuee to apply an electric shock to the rescuee; and a pulse wave sensor unit connected to the AED body to detect a pulse wave in a head of the rescuee.