An active orthotic device, e.g. a hand orthosis, is attached to one or more limbs of a human subject and comprises a respective set of actuators (21) for moving a respective limb (1A) among the one or more limbs. A method for controlling the orthotic device comprises obtaining one or more bioelectric signals, [S(t)], from one or more bioelectric sensors (10) attached to or implanted in the human subject; processing the one or more bioelectric signals, [5(t)j, for prediction of an intended application force, FA(t), of the respective limb (1A) onto an object; obtaining a force signal, PA(t), from a force sensing device (22) associated with the respective set of actuators (21) and/or the respective limb (1A); and generating, as a function of a momentary difference, e(t), between the intended application force, FA(t), and the force signal, PA(t), a respective set of control signals, it(t), for the respective set of actuators (21).

Techniques and mechanisms for detecting and evaluating grip by a user operating a handheld tool. In an embodiment, the tool includes a handle, one or more pressure sensors disposed in or on the handle, and an attachment arm. An output from the one or more sensors is generated while a user-assistive device is coupled to a distal end of an attachment arm of the tool. Logic of the tool calculates a grip metric based on the sensor output, and the tool transmits, based on the grip metric, a signal including medical diagnostic information. In another embodiment, the user-assistive device includes a utensil attachment or a personal hygiene attachment.

The present disclosure refers to a multifunction device for the measurement of the strain on the faces of load cells and displacement on the free ends of load cells. This way, it is possible to measure the traction and/or compression force and energy expended by a muscle or muscle groups of the human body.

The present disclosure allows also to determine the force profile, the instantaneous power and the average power.

The present disclosure also relates to a device for the measurement, recording and digital monitoring of the evolution of force and respective expended energy.

A multi-level pinch dynamometer or gauge which measures pinch strength. A 5-position mechanism provides quick insert and removal of a bottom pinch plate from a multi-position rack. The digital model gauge head displays strength readings, calculated results, and user demographics.

The present disclosure provides a grip sensor for quantifying pain experienced by a patient during spinal cord stimulation (SCS). The grip sensor includes an electronics enclosure, an annular outer shell substantially surrounding the electronics enclosure and sized to be held by the patient, a pressure sensor embedded in the outer shell and communicatively coupled to the electronics enclosure, the pressure sensor configured to measure a grip strength of the patient as SCS is applied to the patient, and a plurality of galvanic skin response sensors communicatively coupled to the electronics enclosure and configured to measure an electrical impedance of the skin of the patient as SCS is applied to the patient.

A system, method and apparatus for rehabilitation with computational feedback, based upon tracking the movement of the user.

Provided is a system for hand rehabilitation comprising an enclosure comprising a top surface and a bottom surface opposite the top surface; a wrist support attached to the top surface and configured to support and rigidly hold a wrist in position with respect to the top surface; a finger retention support arranged on the top surface, sized to accommodate at least a fingertip, and arranged to allow the finger to exert forces on the finger retention support in any direction; a sensor housed within the enclosure and in communication with the finger retention support, the sensor configured to detect and convert forces exerted by the finger on the finger retention support in multiple degrees of freedom into an electrical signal; and a processor in electrical communication with the sensor and configured to receive the electrical signal and provide feedback to a user.

Disclosed is an apparatus and method to train an autonomous driving model. The apparatus includes a driver information collection processor configured to collect driver information while a vehicle is being driven. The apparatus also includes a sensor information collection processor configured to collect sensor information from a sensor installed in the vehicle while the vehicle is being driven, and a model training processor configured to train the autonomous driving model based on the driver information and the sensor information.

A system and method for assessing a patient's balancing ability in order to facilitate ascertaining the patient's current medical status. The system includes a balance plate for measuring the center of gravity dynamic weight distribution in combination with a sensor for measuring the patient's fine motor skills.

A system for assessing muscle function of a patient is provided. The system includes: a dual-energy X-ray absorptiometry device operative to scan the patient so as to generate a lean mass measurement; a bioelectrical impedance analysis device operative to scan the patient so as to generate an extracellular water volume measurement; and a controller that includes at least one processor and a memory device, the controller in electrical communication with the dual-energy X-ray absorptiometry device and the bioelectrical impedance device. The controller is adapted to: receive the lean mass measurement and the extracellular water volume measurement; store the lean mass measurement and the extracellular water volume measurement in the memory device; and generate a muscle assessment indicator of the patient based at least in part on the lean mass measurement and the extracellular water volume measurement stored in the memory device.