A system for rehabilitation is disclosed. The system for rehabilitation includes one or more electronic devices comprising one or more memory devices storing instructions, one or more network interface cards, and one or more sensors, wherein the one or more electronic devices are coupled to a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the one or more memory devices, the one or more network interface cards, and the one or more sensors. The one or more processing devices are configured to execute the instructions to receive information from the one or more sensors. The one or more processing devices are further configured to execute the instructions to transmit the information to a computing device controlling an electromechanical device, via the one or more network interface cards.

A computer-implemented system includes a treatment apparatus configured to be manipulated by a patient while performing a treatment plan and a server computing device configured to execute an artificial intelligence engine to generate the treatment plan and a billing sequence associated with the treatment plan. The server computing device receives information pertaining to the patient, generates, based on the information, the treatment plan including instructions for the patient to follow, and receives a set of billing procedures associated with the instructions. The set of billing procedures includes rules pertaining to billing codes, timing, constraints, or some combination thereof. The server computing device generates, based on the set of billing procedures, the billing sequence for at least a portion of the instructions. The billing sequence is tailored according to a certain parameter. The server computing device transmits the treatment plan and the billing sequence to a computing device.

A method for generating, by an artificial intelligence engine, a treatment plan and a billing sequence associated with the treatment plan is disclosed. The method includes receiving information pertaining to a patient. The information includes a medical diagnosis code of the patient. The method includes generating, based on the information, the treatment plan for the patient. The treatment plan includes instructions for the patient to follow. The method includes receiving a set of billing procedures associated with the instructions. The set of billing procedures includes rules pertaining to billing codes, timing, constraints, or some combination thereof. The method includes generating, based on the set of billing procedures, the billing sequence for at least a portion of the instructions. The billing sequence is tailored according to a certain parameter. The method includes transmitting the treatment plan and the billing sequence to a computing device.

A crank apparatus includes a crank arm having at least one cavity on one of the surfaces of the crank arm, at least one thin material layer embedded within the at least one cavity and having an exposed outer surface, and at least one sensing element attached to the outer surface of the thin material layer. The crank arm is manufactured of a material with non-uniform strain characteristics, the thin material layer is manufactured of a material with uniform strain characteristics, the crank arm is adapted to be deformed by a force, the thin material layer is adapted to be deformed correspondingly with the deformation of the crank arm, the at least one sensing element is adapted to measure the corresponding strain of the thin material layer to measure the force applied on the crank arm. A bicycle and a stationary exercise bicycle equipped with the crank apparatus are further provided.

A method of monitoring user effectiveness during cyclic operation of an exercise machine (10) having a pair of human limb-operable drive members (31,32) coupled for cyclic movement. The method comprises the steps of: (i) measuring and monitoring the drive force applied to the drive members (31,32) during cyclic movement of the drive members (31,32) and generating one or more force signals indicative thereof; (ii) using the one or more force signals to derive for each cycle of movement of the drive members (31,32) at least one maximum user effectiveness coefficient signal indicative of variation of force relative to a maximum force value measured for that cycle of movement and at least one minimum user effectiveness coefficient signal indicative of variation in force relative to a minimum force value measured for that cycle of movement; (iii) using the maximum and minimum user effectiveness coefficient signals derived in step (ii) to generate a user effectiveness score signal that is indicative of user effectiveness in driving cyclic movement of the drive members; and (iv) using the user effectiveness score signal in recording, displaying, printing, storing, downloading, uploading or transmitting one or more indicia representative of the user effectiveness score signal.

A mobile apparatus adapted to be handheld and configured for electronic processing of blood sugar affecting factors includes a first central processing unit arranged for processing of patient critical information objects, at least one memory comprising a plurality of in advance stored food units and values of at least one related blood sugar affecting parameter, an input unit arranged to provide user input, such as a choice of food units and an amount thereof, a display arranged for visualization of food units for said user input, and for visualization of summed up blood sugar affecting parameters, and a second central processing unit arranged for processing of patient non-critical information objects.

A crank measurement system includes four bend-sensing strain gauges located on one surface of a crank and oriented parallel to a neutral axis of the crank to sense bend strain induced in the crank. Two of the bend-sensing strain gauges are located above the neutral axis, and the other two bend-sensing strain gauges are located below the neutral axis. The system also includes two shear-sensing strain gauges located on the one surface and oriented to sense shear strain induced in the crank. The shear-sensing strain gauges are located on opposite sides of the neutral axis. The system may also include up to four axial-sensing strain gauges located on the one surface and oriented to sense axial strain induced in the crank. An electronics module receives strain data from the strain gauges, and determines from the strain data one or more of force, torque, and power applied to the crank.

The present invention concerns an ergometer (10) comprising at least one training assembly, each assembly comprising: a training element (11), -at least one hydraulic cylinder (12) comprising a pressure chamber (32), said training element (11) being linked to said at least one hydraulic cylinder (12) such that a hydraulic pressure value applied in the pressure chamber (32) of said or at least one of said corresponding cylinders determines a force opposing the movement of said training element (11) by a user, and at least one control unit (13, 14) for supplying the pressure chamber (32) of said or one corresponding hydraulic cylinder (12) with pressurised hydraulic fluid such that said pressure chamber (32) has a chosen pressure value during at least a part of the muscle exercises carried out by the user, said control unit (13, 14) being linked to said pressure chamber (32) of the corresponding hydraulic cylinder (12) by a hydraulic fluid supply circuit.

A computer-implemented system for a remote examination is disclosed. The computer-implemented system includes a treatment device, a master console, a user interface, and a control system. The treatment device comprises one or more slave sensors and a slave pressure system, the treatment device configured to be manipulated while a patient performs a treatment plan. The master console comprises a master device. The user interface comprises an output device configured to present telemedicine information associated with a telemedicine session. The control system comprises one or more processing devices operatively coupled to the master console and the treatment device. The one or more processing devices are configured to receive slave sensor data from the one or more slave sensors, use a manipulation of the master device to generate a manipulation instruction, transmit the manipulation instruction, and during the telemedicine session, use the manipulation instruction to cause the slave pressure system to activate.

A computer-implemented system includes a treatment apparatus configured to be manipulated by a patient while performing a treatment plan and a server computing device configured to execute an artificial intelligence engine to generate the treatment plan and a billing sequence associated with the treatment plan. The server computing device receives information pertaining to the patient, generates, based on the information, the treatment plan including instructions for the patient to follow, and receives a set of billing procedures associated with the instructions. The set of billing procedures includes rules pertaining to billing codes, timing, constraints, or some combination thereof. The server computing device generates, based on the set of billing procedures, the billing sequence for at least a portion of the instructions. The billing sequence is tailored according to a certain parameter. The server computing device transmits the treatment plan and the billing sequence to a computing device.