A computer-implemented system may include a rowing 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-related event; 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 that a cardiac intervention will occur; and transmit the treatment plan to cause the rowing machine to implement the one or more exercises.

A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

A computer-implemented system includes one or more processing devices configured to receive user information associated with a user, generate a selected set of the user information, determine, based on the selected set of the user information, at least one of a first probability of surviving one or more procedures and a second probability indicating an improvement, resulting from the one or more procedures, in quality-of-life metrics for the user, generate, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and generate, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability.

A garment with prepositioned, definite sensory stimulating devices attached. These sensory stimulating devices include, but are not limited to, electrical stimulation, audio and physical stimulation such as localised force generation, compression, constriction, vibration, and surround sound. Predetermined and defined actuators allow the wearer to receive tissue, nerve and/or muscle stimulation and/or contraction so that the stimulation is precise as determined by its ability to conform to the scientific methodology of repeatability, reproducibility and reliability; this being due to consistency of actuator positioning in one or multiple locals on the human body. A personal surround sound can also be integrated to the garment to ensure the wearer is always in the optimal position relative the speakers. These actuators can be force generators within the garment for the wearer to feel impact or apparatus or electrodes included in the garment to locally constrict and increase pressure on the wearer.

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.

An apparatus may be configured for providing feedback to caregivers during a code blue scenario when adhered to the chest of a subject undergoing resuscitation by sensing and transmitting information associated with the code blue scenario. Such information may include one or more of vital signs of the subject during resuscitation, information associated with chest movements of the subject during resuscitation, and audio information from an environment of the subject during resuscitation. One or more processors may generate real-time feedback for communication to the caregivers during the code blue scenario based on the sensed and transmitted information.

Equipment for self-care of patients with chronic pain, through inducing, intensifying and maintaining their own frissons and where multisensory and multimodal stimuli are used to achieve it; musical, visual, aromatic and vibrotactile and cold are applied on the cutaneous surface of the spine. In addition, the method for using them through perceptual learning is presented. The equipment includes a computer and a computer system with a music and video player, lighting, presentation of aromas and a closed hydraulic circuit with a hydraulic actuator.

An assistance apparatus for carrying out a first emergency care procedure, such as chest compressions or pulmonary ventilation, is configured to cooperate with a second assistance apparatus for carrying out a second emergency care procedure. The assistance apparatus comprises a communication device designed to receive, from the second assistance apparatus, data relating to the second emergency care procedure. The data comprises at least one item of information, a parameter or an instruction. A signal-processing device is configured to process the at least one signal measured according to the received data relating to the second emergency care procedure. An assistance system, comprising a compression assistance apparatus and a ventilation assistance apparatus, and an assistance method associated with the assistance system are also disclosed.

An apparatus and method for ischemic muscle training or recovery provides coordinated blood flow restriction and electrical muscle stimulation. The apparatus includes a blood flow occluding element for restricting blood flow to a target muscle or muscle group in a user, and measuring resting systolic blood pressure (SBP). The apparatus also includes an electrical muscle stimulator including at least one electrode and a control unit which, upon activation, sends low amplitude electric pulses through the target muscle or muscle group forcing the targeted muscle to contract while the blood flow is restricted.

A resuscitation system for use in the resuscitation of a subject includes a computing device configured to input subject information and use the subject information to create a subject resuscitation strategy, a sensor configured to detect subject biosignals and use the subject biosignals to monitor for a subject cardiac arrest event, and a defibrillator configured to determine and deliver a subject resuscitation treatment. On determination of a subject cardiac arrest event, the sensor outputs sensor subject biosignals to the computing device. The computing device uses the sensor subject biosignals to adapt the subject resuscitation strategy and output the subject resuscitation strategy to the defibrillator. The defibrillator measures subject biodata and uses the subject biodata and the subject resuscitation strategy to determine and deliver a subject resuscitation treatment. During subject resuscitation treatment, the defibrillator repeatedly uses measured subject biodata and the subject resuscitation strategy to adapt the subject resuscitation treatment.