Example implementations include a system with a first communication channel operatively coupled with a cranial sensor system and operable to transmit a cranial sensor output obtained from the cranial sensor system to one or more remote devices, and a second communication channel operatively coupled with the cranial sensor system and operable to transmit a diagnostic output associated with the cranial sensor output to the remote device(s).

Example implementations include a system with a first communication channel operatively coupled with a cranial sensor system and operable to transmit a cranial sensor output obtained from the cranial sensor system to one or more remote devices, and a second communication channel operatively coupled with the cranial sensor system and operable to transmit a diagnostic output associated with the cranial sensor output to the remote device(s).

An orthopedic system wherein a patient's brain is operably coupled to an actuation assembly for voluntarily moving a brace/limb of the patient between a number of desirable positions. An orthopedic brace, or one of more components thereof, which can be utilized with the orthopedic system.

An orthopedic system wherein a patient's brain is operably coupled to an actuation assembly for voluntarily moving a brace/limb of the patient between a number of desirable positions. An orthopedic brace, or one of more components thereof, which can be utilized with the orthopedic system.

In rehabilitation, a stimulation pattern when applied to a body part by a neuromuscular electrical stimulation (NMES) device is effective to cause the body part to perform an intended action. The applying includes increasing a stimulation level at which the stimulation pattern is applied over time and, during the applying, acquiring video of the body part. The body part is monitored during the applying by analysis of the video, and the applying is automatically stopped in response to the monitoring indicating the body part has performed the intended action. The stimulation pattern may be defined as one or more subsets of electrodes of the NMES device and an electrode group stimulation level for each respective subset of electrodes, and the increasing of the stimulation level comprises increasing a scaling factor applied to the electrode group stimulation levels over time.

An assistance method for assisting a person in grasping or otherwise manipulating an object includes receiving video of a hand of the person and of an object. An intent to grasp the object is identified based on proximity of the hand to the object in the video or as measured by a proximity sensor, or using gaze tracking, or based on measured neural activity of the person. The object and the hand in the video are analyzed to determine an object grasping action for grasping or otherwise manipulating the object. An actuator is controlled to cause the hand to perform the determined hand action for grasping or otherwise manipulating the object.

Systems and methods for operating a controlled device via a wearable activation accessory that includes a sensor configured to detect relaxed and flexed conditions of muscles associated with clenching, flexing, and/or lateral displacement of a wearer's muscle, thereby allowing the wearer to generate control signals for a controlled element. The sensor is coupled to a controller, which has an output coupled to a control signal interface. The controller is programmed to receive and evaluate input signals from the sensor to determine whether or not they represent a command for the controlled device by assessing the input signals for a signal pattern indicative of a plurality of volitional muscle motion actions of a wearer of the wearable activation accessory. If/when the processor determines that the input signals represent a valid command, it decodes the command and transmits an associated control signal to the controlled device via the control signal interface.

A user interface device is adapted to provide tremor cancellation. The user interface device comprises a user interface for determining a position from a physical user input and a position output for providing a time-ordered output stream of position data, but also provides a tremor learning module and a tremor cancellation module. The tremor learning module can be trained to identify tremor patterns for a user by comparing time-ordered output streams of position data produced by the user with predetermined representations. The tremor cancellation module is adapted to apply the tremor patterns learned for the user to cancel tremors in a time-ordered stream of position data produced by the user to create an output stream of position data which is corrected for user tremor. A method of training and then using such a user interface device is also described.

Systems and methods of controlling a device using detected changes in a neural-related signal of a subject are disclosed. In one embodiment, a method of controlling a device or software application comprises detecting a first change in a neural-related signal of a subject, detecting a second change in the neural-related signal, and transmitting an input command to the device upon or following the detection of the second change in the neural-related signal. The neural-related signal can be detected using a neural interface implanted within a brain of the subject.

A system for controlling at least one device includes a pair of glasses having a glasses frame. A plurality of magnetic sensors, a processor coupled to the plurality of magnetic sensors, and a wireless communication transmitter coupled to the processor are arranged on or in the glasses frame. A plurality of magnetic skins tags are arranged on a human face. The plurality of magnetic sensors sense movement of at least one of the plurality of magnetic skin tags and transmit a signal corresponding to the sensed movement to the processor. The processor, responsive to receipt of the signal corresponding to the sensed movement, transmits a signal for controlling the at least one device via the wireless communication transmitter to a processor of a power-driven mobility device.