Methods, systems and devices for reducing anxiety, including increasing relaxation and/or calm. In some variations these methods may include reducing anxiety, increase relaxation and/or calm by non-invasive temperature regulation of the frontal cortex prior to and/or during sleep. The subject may have an anxiety disorder, or may not have a diagnosed anxiety disorder.

Support device for supporting at least one body part of a user at least in portions, optionally completely, comprising a support body, which comprises at least one support region for supporting at least one body part of a user at least in portions, optionally completely.

An external defibrillator system includes one or more compression sensors; one or more physiological sensors; and at least one processor. The at least one processor is configured to: receive and process chest compression signals and physiological signals from the sensors, determine values for chest compression depth and/or chest compression rate based on the received chest compression signals, determine a trend of at least one physiological parameter over a period comprising multiple chest compressions based on the received physiological signals, adjust a target chest compression depth and/or target chest compression rate based on the determined trend of the at least one physiological parameter, compare the determined values for chest compression depth and/or chest compression rate to the adjusted target compression depth and/or the adjusted target compression rate, and provide feedback about the quality of chest compressions performed on the patient.

A percussive therapy system includes a percussive therapy device that includes a housing, an electrical source, a motor positioned in the housing, a switch for activating the motor, a push rod assembly operatively connected to the motor and configured to reciprocate in response to activation of the motor, and an attachment configured to be operatively connected to a distal end of the push rod assembly of the percussive massage device and to provide at least one therapeutic effect to a user. The attachment may include at least one of an actuator configured to provide the at least one therapeutic effect to the user and a sensor configured to obtain at least one of biometric data of the user and information regarding operation of the percussive therapy device.

A computer-implemented system may include an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and a processing device configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac condition or a cardiac outcome, generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability of a cardiac intervention for the user, and transmit the treatment plan to cause the electromechanical machine to implement the one or more exercises.

Systems and methods are provided for controlling infrared radiation (IR) sources of a sauna including tuning IR wavelength-ranges and radiated power-levels of IR sources, and directing IR to locations on a user's body. In one illustrative embodiment, a sauna may be provided having adjustable IR emitters to emit IR at any wavelength resulting in a desirable radiation treatment for the sauna user. In another illustrative embodiment, a method is provided for tuning IR emitters in a sauna.

Apparatuses, systems and methods are provided that may include a system for patient monitoring and defibrillation. The system may include at least two defibrillation electrodes. The system may further include a first unit for physiological monitoring of a patient, including ECG monitoring circuitry for monitoring ECG of the patient. The first unit may store CPR chest compression data. The system may further include a second unit, separate from the first unit, which may communicatively couple with the first unit, for providing defibrillation pulses to the patient. The second unit may include a processor, communicatively coupled with the at least two defibrillation electrodes, for providing defibrillation pulses to the patient via the at least two defibrillation electrodes.

A method that includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving user related data (URD) associated with the use and receiving alignment data associated with the user while the user engages in at least one activity. The method also includes identifying, based on at least the treatment data, the URD, and the alignment data, at least one alignment characteristic associated with the user and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input including at least one modification to the at least one aspect of the treatment plan.

Medical devices, plug-ins, systems, and methods for CPR quality feedback are disclosed. The medical devices can calculate peripheral circulation relevant parameters based on measured signals containing at least partial hemodynamic characteristics. Amplitude and area characteristics included in the peripheral circulation relevant parameters can further be determined for providing feedback and control relating to CPR quality during the compression process. Also, compression interruption during CPR can be evaluated based on a pulse waveform generated from the measured signals.

A method for updating a treatment plan. The treatment plan is associated with a user using a treatment apparatus to perform the treatment plan. The method includes receiving first data associated with a first diagnosis of the user. The method includes generating, based on the first data, an initial treatment plan to be performed on the treatment apparatus by the user. The method includes receiving second data associated with a first attribute of the user. The method includes generating, via an artificial intelligence engine, a machine learning model trained to generate an updated treatment plan based on the initial treatment plan and the second data.