An intelligent health strap. A detection and analysis method comprises: acquiring multiple groups of pulse data collected by multiple pulse sensors (11); and according to the multiple groups of pulse data, using a calculation method for analysis to obtain physical sign information (12). An intelligent health wrist strap and an intelligent health ankle strap having multiple pulse sensors are used for performing pulse monitoring and analysis, displaying multiple types of pulse physical sign information, and transmitting data to an external device, so that a user can conveniently monitor changes of individual physiological status, and the intelligent health wrist strap and the intelligent health ankle strap can provide massage and health-care for wrists and ankles.

A mobile walker has a frame, at least two wheels which are embodied and arranged on the frame to move the mobile walker around on a ground surface, at least one hand grip embodied and arranged on the frame to be used by a user of the mobile walker as a support and pushing aid, at least one measured value recording unit embodied and programmed to record at least one vital parameter of the user, and a processor unit which is connected communicatively to the measured value recording unit and which is embodied and programmed to assess the recorded vital parameter and/or transmit the same to a control center arranged separately from the mobile walker.

A computer-implemented method for facilitating cardiac rehabilitation among eligible users is disclosed. The method includes the steps of (1) receiving health information associated with one or more users; (2) for each user of the one or more users: determining, based on health information associated with the user, a respective eligibility of the user for cardiac rehabilitation; (3) determining, based on the respective eligibilities, that at least one user of the one or more users is eligible for cardiac rehabilitation; (4) generating a treatment plan for the at least one user, where the treatment plan pertains to a cardiac rehabilitation that is specific to the at least one user; and (5) assigning the treatment plan to at least one electromechanical machine to enable the user to perform the cardiac rehabilitation.

This document relates to systems and techniques for the treatment of a cardiac arrest victim via electromagnetic stimulation of physiologic tissue.

Systems and methods related to the field of cardiac resuscitation, and in particular to devices for assisting rescuers in performing cardio-pulmonary resuscitation (CPR), are described herein. In one aspect, a method for managing cardiopulmonary resuscitation (CPR) treatment to a person in need of emergency assistance includes monitoring a parameter that indicates a fatigue level of a rescuer and providing an indication that a different person should perform the CPR component if the rescuer is exhibiting fatigue.

The present invention relates to a system for assisting a person in walking, comprising a measurement unit for measuring physiological data including vital sign data and movement data of the person; an activity ability determination unit which is configured to determine a frailty state of the person based on the vital sign data, and to determine walking characteristics of the person based on the movement data; an activity program unit which is configured to select and continuously update a walking program based on the determined frailty state of the person and the determined walking characteristics of the person.

A computer-implemented method is disclosed. The method includes determining whether one or more messages have been received from at least one of an electromechanical machine, a sensor, and an interface. Then the one or more messages may pertain to at least one of a user and a usage of the electromechanical machine by the user. The electromechanical machine may be configured to be manipulated by the user while the user is performing a treatment plan. The method also includes, responsive to determining that the one or more messages have not been received, determining, using one or more machine learning models, one or more preventative actions to perform. The method also includes causing the one or more preventative actions to be performed.

A system for facilitating resuscitation includes: a first electrode assembly having a therapy side and a first motion sensor; a second electrode assembly having a therapy side and a second motion sensor; processing circuitry operatively connected to and programmed to receive and process signals from the first and second motion sensors to estimate at least one of a chest compression depth and rate during administration of chest compressions and to compare the chest compression depth or rate to a desired range; and an output device for providing instructions to a user to administer chest compressions based on the comparison of the estimated chest compression depth or rate to the desired range. One or both of the electrode assemblies may be constructed so that the conductive therapeutic portion is able to maintain substantial conformance to the anatomy of the patient when coupled thereto. For example, at least a portion of the flexible electrode pad may be able to flex from a more rigid sensor housing, or the sensor housing itself may be relatively small compared to the flexible electrode pad so as not to cause lift off of the therapeutic side from the patient.

An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire physiological data of a patient, at least one network interface and at least one processor coupled to the at least one sensor and the at least one network interface. The at least one processor is configured to detect, via the at least one network interface, a medical device, to establish a secure communication session with the medical device via the at least one network interface, to detect a data capacity of the secure communication session, to identify a category of patient data associated with the data capacity, and to transmit patient data of the category to the medical device via the secure communication session.

An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire physiological data of a patient, at least one network interface and at least one processor coupled to the at least one sensor and the at least one network interface. The at least one processor is configured to detect, via the at least one network interface, a medical device, to establish a secure communication session with the medical device via the at least one network interface, to detect a data capacity of the secure communication session, to identify a category of patient data associated with the data capacity, and to transmit patient data of the category to the medical device via the secure communication session.