The present invention is a touchscreen-based control system for massage chairs that includes a touchscreen device. In another aspect, the present invention is a massage chair controlled by a touchscreen-based control system that includes a touchscreen-based control system. In a further aspect, the present invention is a massage chair controlled by a touchscreen-based control system that includes a touchscreen-based control system having a software program allowing a user to customize a massage function and save it in a memory thereby allowing the user to open or load the saved function. In a further aspect, the present invention is a massage chair controlled by a touchscreen-based control system wherein the massage chair includes an inflatable air-cell to provide massage effects in the footrest and armrest areas of a user.

A patient brace system and method of using the same are disclosed for treatment of lower extremity injuries. Described brace systems include a crutch, at least one crutch sensor, a patient brace, at least one controller, and a rehabilitation application. The crutch sensor(s) measure one or more crutch parameters. The controller(s) are operable to receive and process a signal(s) indicative of the crutch parameter(s) and produces patient gait data that, in turn, is communicated to a data hub. In some embodiments, the patient brace may also include at least one brace sensor configured to similarly communicate with the data hub. The rehabilitation application is communication with the data hub and determines a response output based on the information fed to the data hub, the application then communicating the response output to at least one of a caregiver, a user of the patient brace, and/or to the patient brace.

A walking training apparatus is a motion support system that includes a walking assistance apparatus as an assistance apparatus, a selected assistance level setting unit, a load data acquisition unit, an angle sensor as a displacement sensor, and an overall control unit as a control unit. The assistance apparatus assists a motion of a joint performed by a user. The assistance level setting unit sets an assistance level that is a level of a force exerted by the assistance apparatus. The load data acquisition unit acquires load data related to a load of the assistance apparatus. The displacement sensor detects a displacement of the joint. The control unit determines a recommended assistance level, which is an assistance level to be recommended, based on the assistance level, the load data, and an output of the displacement sensor, and outputs information about the determined recommended assistance level.

The learning system includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

The learning apparatus includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

Embodiments disclosed herein are directed to personal therapy and exercise systems as well as to methods related thereto. For example, a personal therapy system can be a modular system that can include multiple therapy gear modules.

An improved modular, multi-modal neurostimulation system, includes signal generating, conditioning, and control electronics, stimulation monitoring electronics, and wearable, magnetically coupled energy emitter modules configured for coupling energy emitters to the ear for transcutaneous energy delivery to cranial nerves neurologically accessible in the auricular nerve field. Three energy modalities are available via electrodes for electrical stimulation; optical emitters for electromagnetic stimulation; vibrational emitters for vibrational stimulation. Energy modalities are selectable singularly or in combination. Stimulation control electronics may be integrated within an ear-worn coupling body or located in an external computerized device. Integrated bodily status and biofeedback sensors work with a programmable algorithm to enable closed loop operation based on monitored biofeedback activity, bodily activity and indicia of autonomic functioning. A method for optimizing stimulation using cardiorespiratory feedback and monitoring of divisional indicia of autonomic nervous system function is discussed. Disclosed is a method for optimizing therapeutic interventions via neurostimulation and a method for self-administered neurostimulation and training users in self-administered neurostimulation. Also disclosed is a stimulation coupling apparatus comprising a contour conforming plastic composition for coupling stimulation energy emitters to the auricle of a human being.

Apparatus and associated methods relate to a walking therapy station having multiple right linkages and multiple left linkages, where at least one of the right or left linkages is operably coupled to an actuator to transition the station from a standing mode to a walking mode. In an illustrative example, the station may have five right linkages and five left linkages, with a set of knee pads and foot pads. The station may include an actuator operably coupled to transition the station between walking and standing modes, for example. Various embodiments of the station may enable a user who is disabled or paralyzed to transition from sitting position, to a standing position, and then to a walking position, and provide the user with a very accurate gait and walking motion without putting excessive shear and pressure at the contact points between the station and the user.

The present invention is a touchscreen-based control system for massage chairs that includes a touchscreen device. In another aspect, the present invention is a massage chair controlled by a touchscreen-based control system that includes a touchscreen-based control system. In a further aspect, the present invention is a massage chair controlled by a touchscreen-based control system that includes a touchscreen-based control system having a software program allowing a user to customize a massage function and save it in a memory thereby allowing the user to open or load the saved function. In a further aspect, the present invention is a massage chair controlled by a touchscreen-based control system wherein the massage chair includes an inflatable air-cell to provide massage effects in the footrest and armrest areas of a user.

A gait assistive device that may be used to improve a gait disability by replacing or compensating movement of joints of an ankle and a foot that occur during a gait or that may be used for a bottom structure of a gait robot is disclosed.

The present invention provides a gait assistive device including: a foot supporting part; a rear connecting part coupled to a heel portion of the foot supporting part; and a rearfoot plate coupled to the rear connecting part, wherein the rear connecting part may include a joint, and a shaft of the joint is installed on a line or rear line of a load line at heel strike during a gait cycle based on a direction of a gait.