Disclosed is a multifunctional exercise chair for body stretching, comprising a wheelchair frame body, wherein a mounting frame is detachably mounted on an end of the wheelchair frame body away from the driving rear wheel and located under the seat cushion, a pedal gear is rotatably mounted at a bottom of the mounting frame and a pedal is provided thereon, a hand crank gear is rotatably mounted on a top of the mounting frame and a hand crank handle is provided thereon, a rotating shaft is provided between two driving rear wheels; a driven gear is fixedly mounted on the rotating shaft, a supporting chain gear is mounted on the mounting frame and arranged adjacent to the pedal gear, and the hand crank gear, the pedal gear, the driven gear and the supporting chain gear are wound and connected by a transmission chain.

An electromechanical device for rehabilitation includes pedals coupled to radially-adjustable couplings, an electric motor coupled to the pedals via the radially-adjustable couplings, and a control system including a processing device operatively coupled to the electric motor. The processing device configured to, responsive to a first trigger condition occurring, control the electric motor to operate in a passive mode by independently driving the radially-adjustable couplings rotationally coupled to the pedals. The processing device also configured to, responsive to a second trigger condition occurring, control the electric motor to operate in an active-assisted mode by measuring revolutions per minute of the radially-adjustable couplings, and cause the electric motor to drive the radially-adjustable couplings when the measured revolutions per minute satisfy a threshold condition, and responsive to a third trigger condition occurring, control the electric motor to operate in a resistive mode by providing resistance to rotation of the radially-adjustable couplings.

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, treatment plans for optimizing a user outcome. The method comprises receiving attribute data associated with a user. The attribute data comprises one or more symptoms associated with the user. The method also comprises, while the user uses a treatment apparatus to perform a first treatment plan for the user, receiving measurement data associated with the user. The method further comprises generating, by the artificial intelligence engine configured to use one or more machine learning models, a second treatment plan for the user. The generating is based on at least the attribute data associated with the user and the measurement data associated with the user. The second treatment plan comprises a description of one or more predicted disease states of the user. The method also comprises transmitting, to a computing device, the second treatment plan for the user.

A system that comprises a memory device storing instructions, and a processing device communicatively coupled to the memory device. The processing device executes the instructions to: receive user data obtained from records associated with a user; generate a modified treatment plan based on the user data; and send, to a treatment apparatus accessible to the user, the modified treatment plan, wherein the modified treatment plan causes the treatment apparatus to update at least one operational aspect of the treatment apparatus, and update at least one operational aspect of at least one other device communicatively coupled to the treatment apparatus.

A computer-implemented method for facilitating cardiac rehabilitation among eligible users is disclosed. The method includes the steps of (1) receiving health information associated with one or more users; (2) for each user of the one or more users: determining, based on health information associated with the user, a respective eligibility of the user for cardiac rehabilitation; (3) determining, based on the respective eligibilities, that at least one user of the one or more users is eligible for cardiac rehabilitation; (4) generating a treatment plan for the at least one user, where the treatment plan pertains to a cardiac rehabilitation that is specific to the at least one user; and (5) assigning the treatment plan to at least one electromechanical machine to enable the user to perform the cardiac rehabilitation.

A computer-implemented method is disclosed. The method includes determining whether one or more messages have been received from at least one of an electromechanical machine, a sensor, and an interface. Then the one or more messages may pertain to at least one of a user and a usage of the electromechanical machine by the user. The electromechanical machine may be configured to be manipulated by the user while the user is performing a treatment plan. The method also includes, responsive to determining that the one or more messages have not been received, determining, using one or more machine learning models, one or more preventative actions to perform. The method also includes causing the one or more preventative actions to be performed.

A liver cancer metastasis therapeutic device, consisting of a base plate, a prone support, an abdominal medicine massager, a chain wheel, a rotating wheel and a handheld massager, and being used in a treatment for restoring functions of a whole body; and the therapeutic device is focused on restoring the functions of the whole human body and complementarily performs chemoradiotherapy and surgery for killing cancer cells to treat causes of death, thus significantly reducing a death rate of patients due to metastasis of liver cancers and digestive organ cancers.

A lower body electrical muscle stimulation exercise system for exercising the legs of a paralyzed user which incorporates electrical stimulation of leg muscles. The device is portable, light-weight and functional. The device is placed in front of a user who is sitting in a chair. The user's legs may be placed on moveable leg supports. An electric motor rotates a bicycle crank assembly which moves the legs of a user in a back and forth bending motion. Electrical stimulation is then activated which contracts or relaxes the leg muscles. The stimulation is sequentially activated by a Master Processor and a Transcutaneous Electrical Nerve Stimulator (TENS) unit. The present invention is designed to stop the deterioration of the leg muscles and restore the functionality of the legs.

A physiotherapeutic device is disclosed. In an embodiment a physiotherapeutic device includes an arm trainer configured to rotationally move arms of a patient, the arm trainer having a first axis and a leg trainer configured to rotationally move legs of the patient, the leg trainer having a second axis, wherein the first and second axes comprise an adjustability in height, wherein a distance of the first axis to the second axis is constant, wherein the arm and leg trainers are adjustable in height so that an adjustment in height results in different exercising positions.

In one embodiment, a computer-implemented system includes treatment apparatuses configured to be manipulated by patients while performing an exercise session, patient interfaces associated with the plurality of patients, and a server computing device configured to receive first characteristics pertaining to the patients, and initiate a virtual shared session on the patient interfaces associated with the patients. The virtual shared session includes at least a set of multimedia feeds, and each multimedia feed of the set of multimedia feeds is associated with one or more of the patients. During the virtual shared session, the server computing device may present a first layout including the set of multimedia feeds, the first characteristics, or some combination thereof.