A system for physical rehabilitation comprises a clinician interface including a patient profile display presenting data regarding performance of a regimen for a body part. A patient interface presents instructions and status information regarding the performance of the regimen. The patient interface further presents a questionnaire soliciting responses to questions pertaining to current and past physical conditions of the patient. Selected responses to the questions cause the system to take actions, including preventing operation of a treatment apparatus by the patient, and/or transmitting an alert message to a clinician. The alert message may be transmitted within the clinician interface and/or as a real-time message outside of the clinician interface. A questionnaire is presented to the patient in response to occurrence of a triggering event pertaining to the patient's use of the treatment apparatus.

A system and method for targeted neurological treatment using brainwave entrainment therapy with passive treatment that allows for targeted treatment of particular areas of the brain, particular neurological functions, particular neurological states, and combinations of areas, functions, and states. The system and method receive gait parameters for an individual and compare those against a database of historical gait data to determine if an onset neurodegenerative condition is present, and applies a brainwave entrainment therapy responsive to the determination of the condition. The system and method receive a neurological assessment identifying areas of the brain or neurological functions to be treated, select one or more treatment modalities and frequencies, select a treatment regimen, and apply brainwave entrainment using a treatment regimen while the subject engages in dual-task activities selected to stimulate the areas of the brain, neurological functions, or neurological states to be treated, enhanced, or altered.

A pulley force detection device for a weight-training fitness equipment includes a measured element arranged on a stator portion of a pulley of the fitness equipment, and a detection module arranged on a rotor portion. The detection module includes at least one measuring element corresponding to the measured element to detect a motion stroke, a speed, and a power value during force application to a pulley body. Alternatively, the measured element is arrangeable on the rotor portion of the pulley, while the measuring element is arranged on the stator portion of the pulley. The pulley force detection device is further combinable with a weight measurement device for detecting a weight of the weight block.

A seated treadmill has a structure with a front portion and a rear portion. A front roller is rotatably mounted on the front portion of the structure, a rear roller is rotatably mounted on the rear portion of the structure, and a belt circumscribes the front and rear rollers. The front and rear rollers are much closer together than prior art treadmills, typically about 10-30 inches. The treadmill may further include a remote control for controlling operation of the treadmill, and a shutoff switch in the event that too much force is placed upon the treadmill, such as if the user attempts to stand on the treadmill.

A surfing simulation device can be wirelessly connected with virtual reality (VR) glasses. The surfing simulation device includes a surfboard, a surfboard base, and a controller disposed in the surfboard base. The controller controls the actions of the surfboard based on scene information associated with a surfing scene displayed in the VR glasses, such that the actions of the surfboard are synchronous with the surfing scene displayed in the VR glasses. The surfboard of the surfing simulation device can make simulating actions in real time by synchronizing with a surfing scene displayed in VR glasses, such that users can experience the immersive feeling.

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.

A motion device for a virtual reality interaction includes a core, a running belt carried by the core and a frame. The running belt is configured to wrap the core and capable of sliding on the outer surface of the core. The running belt includes a number of running belt units. A surface of each running belt unit facing the core is provided with a number of grooves, and each groove of each running belt unit is connected with a corresponding groove of an adjacent running belt unit through an elastic strap. The frame is located at a periphery of the running belt and is configured to carry the running belt and the core. A number of first balls are arranged between the frame and the running belt.

A method for optimizing at least one exercise. An exercise apparatus is configured to enable a user to perform the at least one exercise. The method includes receiving user data. The method includes generating, based on the user data, initial target data. The method includes receiving measurement data associated with one or more sensors. The method includes determining, differential data. The determining is based on one or more differences between the initial target data and the measurement data. The method includes receiving cohort data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate message data based on a difference between the differential data and the cohort data. The method includes transmitting, to an interface associated with a user, a message to the user based on the message data.

A method includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving alignment data associated with the user while the user engages in at least one activity and receiving at least one alignment characteristic associated with the user and determining, using at least the at least one alignment characteristic, whether the at least one alignment characteristic correlates with at least one secondary condition of the user. The method also includes generating secondary condition information indicating at least the secondary condition and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input. The treatment plan input includes at least one modification to the at least one aspect of the treatment plan and wherein, further, the treatment plan input is generated based on the secondary condition information.

A treadmill includes a frame, an exercise deck attached to the frame, and a first handle movably attached to the frame. The first handle has a first orientation where the first handle is positioned within a region above the exercise deck and stabilized to support a user's weight during a body weight exercise, and a second orientation where the first handle is positioned away from the region above the exercise deck.