A patient-coupled resuscitation device for use with a plurality of medical devices is provided. The resuscitation device includes a portion configured to provide treatment, a connector configured to connect the resuscitation device to one of a first medical device and a second medical device, and a housing including a memory and associated circuitry. The memory and associated circuitry is configured to store a device identifier to identify the resuscitation device; receive medical treatment information from the first medical device, the medical treatment information including at least one of: patient physiological data, patient characteristic data, and rescuer performance data; receive timing information of the medical treatment information from the first medical device; record the medical treatment information and the timing information; and transfer, upon detecting a connection to the second medical device, the medical treatment information and the timing information to the second medical device.

A system includes a guidance device that provides feedback to a user to compress a patient's chest at a rate of between about 90 and 110 compressions per minute and at a depth of between about 4.5 centimeters to about 6 centimeters. The system includes a pressure regulation system having a pressure-responsive valve that is configured to be coupled to a patient's airway. The pressure-responsive valve is configured to remain closed during successive chest compressions in order to permit removal at least about 200 ml from the lungs in order to lower intracranial pressure to improve survival with favorable neurological function. The pressure-responsive valve is configured to remain closed until the negative pressure within the patient's airway reaches about −7 cm H.sub.2O, at which time the pressure-responsive valve is configured to open to provide respiratory gases to flow to the lungs through the pressure-responsive valve.

Wearable sensors that measure one or more parameters such as pressure, force, acceleration, or skin temperature, are used to measure, record, display and monitor the efficacy of therapeutic maneuvers applied to a subject by an operator. Systems and methods for assessing the physiological efficacy of therapeutic maneuvers performed by an operator on a subject in need thereof, and provide a way to guide subsequent therapeutic maneuvers toward optimal outcome. In some embodiments, the systems and methods measure, record, and display physiological parameters of an operator and/or subject during application of cardiopulmonary resuscitation (CPR).

Ultra-low frequency (ULF) tactile stimuli, generated by an electro-mechanical actuator, have a spectrum of biological effects. These frequencies are herewith defined as 2 Hz or lower and may comprise stimulus frequencies as low as 0.1 Hz, or one cycle per ten seconds. The ULF generator can be paired with at least one sensor that is configured to monitor a physiological property of the user. A controller is in communication with the at least one electro-mechanical actuator and the at least one sensor and is configured to control operation of the at least one electro-mechanical actuator, in at least a first operating mode, based on measurements of the at least one sensor.

A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan, a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session, and a first computing device configured to: receive treatment data pertaining to the user while the user uses the treatment device to perform the treatment plan; identify at least one aspect of the at least one measurement pertaining to the user associated with a first treatment device mode of the treatment device; determine whether the at least one aspect of the measurement correlates with a secondary condition of the user; and, in response to a determination that the at least one aspect of the at least one measurement is correlated with the at least one secondary condition of the user, generate secondary condition information indicating at least the secondary condition.

A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan, a patient interface. and a computing device configured to: receive treatment data pertaining to the user who uses the treatment device to perform the treatment plan; identify at least one enhanced component using the treatment data; generate an enhanced environment using the at least one enhanced component and the treatment plan; output at least one aspect of the enhanced environment to at least one of the patient interface and another interface; receive subsequent treatment data pertaining to the user; and selectively modify at least one of the enhanced environment and at least one of the at least one aspect of the treatment plan and any other aspect of the treatment plan using the subsequent treatment data.

The present disclosure concerns a system and a method, that include the use of a wearable device, for reducing uncontrolled vibrations of a body part, typically a hand of a subject, which may be a result of neurological disorders, such as Parkinson's disease. Essential tremor, Multiple sclerosis, etc. These involuntary, uncontrolled, vibrations may be continuous and affect the quality life of the subject.

An assistive device for guiding performance of cardiopulmonary resuscitation (CPR) during cardiac arrest (CA), comprising an intelligent device and algorithm that present care givers realtime guidance and feedback on CPR quality using input from multiple invasive and noninvasive biometric monitoring devices. Input is combined and processed using artificial intelligence (AI) techniques to provide performance guidance displayed on a single monitor. Inputs include at least (a) heart rate, (b) end-tidal carbon dioxideETCO.sub.2, and (c) regional cerebral oxygen saturationRSO.sub.2, which are processed to evaluate effectiveness of ongoing CPR and provide performance indicators in real time directed to increasing CPR effectiveness. Artificial intelligence functions evaluate effectiveness of CPR against standards of care as CPR is performed and provides actionable guidance to improve performance. Outputs are produced that include at least (a) performance parameters for compressions, (b) ventilation effectiveness, and (c) indication if return of spontaneous circulation (ROSC) has occurred.

A system includes a guidance device that provides feedback to a user to compress a patient's chest at a rate of between about 90 and 110 compressions per minute and at a depth of between about 4.5 centimeters to about 6 centimeters. The system includes a pressure regulation system having a pressure-responsive valve that is configured to be coupled to a patient's airway. The pressure-responsive valve is configured to remain closed during successive chest compressions in order to permit removal at least about 200 ml from the lungs in order to lower intracranial pressure to improve survival with favorable neurological function. The pressure-responsive valve is configured to remain closed until the negative pressure within the patient's airway reaches about 7 cm H.sub.2O, at which time the pressure-responsive valve is configured to open to provide respiratory gases to flow to the lungs through the pressure-responsive valve.

Provided are a method, system and a kit for improving a defined condition in a subject, the method including selecting a set of one or more correction zones, being surface zones on the surface of the subject's skin or defined angular zones in the subject's field of view, the one or more correction zones to thereby cause improvement in said condition. Further provided are methods and systems for providing such correction zones related to a defined condition in a subject or to a defined cause in a subject being associated with a defined condition.