A system comprises processing circuitry and memory comprising program instructions that, when executed by the processing circuitry, cause the processing circuitry to: apply a first set of rules to first patient parameter data for a first determination of whether sudden cardiac arrest of a patient is detected; determine that a one or more context criteria of the first determination are satisfied; and in response to satisfaction of the context criteria, apply a second set of rules to second patient parameter data for a second determination of whether sudden cardiac arrest of the patient is detected. At least the second set of rules comprises a machine learning model, and the second patient parameter data comprises at least one patient parameter that is not included in the first patient parameter data.

A system includes a pulse generator including a can electrode and a lead couplable to the pulse generator, the lead including a distal coil electrode and a proximal coil electrode, wherein both of the coil electrodes are electrically uncoupled from the can electrode such that a unipolar sensing vector is provided between at least one of the coil electrodes and the can electrode.

Embodiments of the present invention include a portable medical device with an integrated web server. The portable medical device is configured to establish a communication session with a user device. The integrated web server is configured to load software onto the user computing device for exchanging data with the portable medical device.

Systems and methods for monitoring chronic over-pacing (COP) to the heart are discussed herein. In an embodiment, a system includes a receiver circuit to receive information about pacing rates of a plurality of paced heart beats, and a pacing analyzer circuit to generate a pacing rate distribution using pacing rates of the plurality of the paced heart beats. The pacing rate distribution includes a pacing rate histogram. The pacing analyzer circuit may recognize a morphological pattern from the pacing rate distribution, and detect a COP indication using the extracted feature. A programmer circuit adjusts one or more therapy parameters in response to the detected. COP indication.

A defibrillation system may include a cardiac arrest detector detecting whether cardiac arrest of a passenger has occurred in a state of taking a seat of a self-driving vehicle and fastening a seatbelt of the vehicle; a passenger posture detection device detecting a posture of the passenger; a seat driving device changing the posture of the passenger into another posture in which the passenger lies down based on a detection signal of the passenger posture detection device when the cardiac arrest of the passenger occurs; a heart position detector configured to search for a position of a heart of the passenger; a defibrillation robot to perform a CPR method or a method using an AED on the heart of the passenger; and a controller controlling operation of the seat driving device, the heart position detector, and the defibrillation robot based on detection signals of the cardiac arrest detector and the passenger posture detection device.

Medical devices can perform a plurality of functions, such as sensing, monitoring, deriving and/or calculating various physiological statuses of a patient (e.g., blood pressure, temperature, respiration rate, etc.). Medical devices can also be used to image part or all of a patient's body, to deliver a treatment, or to manage information related to a patient's care. The present disclosure is directed at one or more devices that perform these functions using a plurality of processing circuits, wherein each processing circuit has a timing circuit with a local clock. These processing circuits can be connected via a network, and each timing circuit can communicate with at least one other timing circuit in order to detect and correct time-differences between their local clocks. In this way, multiple processing circuits can be synchronized with each other to facilitate diagnosis or treatment of a patient's condition, or other aspects of a patient's care.

An implantable medical device which performs the following steps during operation: a) performing a detection of whether the implantable medical device is in an implanted state; b) if it is detected that the implantable medical device is in an implanted state, activating a first diagnostic or therapeutic function of the implantable medical device, and subsequently activating a second diagnostic or therapeutic function of the implantable medical device, wherein the second diagnostic or therapeutic function is activated only after the fulfillment of at least one activation criterion selected from the group consisting of an elapse of a first time period from the activation of the first diagnostic or therapeutic function, an elapse of a second time period from the detection that the implantable medical device is in an implanted state, and a passing of a function test.

A system for providing remote assistance to a caregiver during a medical event includes a computer tablet with a transmitter/receiver to communicably couple the tablet with a remote computing system associated with central caregivers, physiological sensors for collecting patient information, and a defibrillator configured to couple to the sensors and including a transmitter/receiver to communicably couple the defibrillator and tablet, and a processor to receive the patient information from the sensors, provide the patient information for display, and communicate the patient information to the tablet, the tablet being configured to generate a user alert for communications with the remote system based on a signal indicating that resuscitative treatment of the victim is being administered, the signal including the patient information received from the sensors, and the user alert including a request for a confirmation to initiate communications with the remote system, and, in response, establish communications with the remote system.

A medical system is provided. The medical system includes a medical device and a mobile computing device. The medical device includes at least one physiologic sensor configured to acquire physiological signals from a patient, at least one processor coupled to the at least one physiologic sensor, and at least one optical code encoded with encrypted data. The mobile computing device includes a camera and one or more processors coupled to the camera and configured to acquire one or more images of the at least one optical code, decode the one or more images of the at least one optical code to generate a copy of the encrypted data, decrypt the copy of the encrypted data to generate decrypted data, and process the decrypted data to establish an operable connection between the mobile computing device and the medical device.

A wearable medical includes a walking detector module with a motion sensor that is configured to detect when the patient is walking or running. In embodiments, a parameter (referred to herein as a “Bouncy” parameter) is determined from Y-axis acceleration measurements. In some embodiments, the Bouncy parameter is a measurement of the AC component of the Y-axis accelerometer signal. This detection can be used by the medical device to determine how and/or whether to provide treatment to the patient wearing the medical device. For example, when used in a WCD, the walking detector can prevent “false alarms” because a walking patient is generally conscious and not in need of a shock.