A method of electroencephalography (EEG) based speech recognition includes obtaining, from a microphone, an audio signal of a speaker from a first time period, obtaining, from one or more EEG sensors, EEG signals of the speaker from the first time period, obtaining, from a first model, acoustic representations based on the EEG signals, concatenating the obtained acoustic representations with an audio input based on the audio signal to obtain concatenated features, providing the concatenated features to an automatic speech recognition model (ASR) and obtaining, from the ASR model, a text-based output.

A system and method for identifying a stimulation location on a nerve is disclosed. The system includes an image-based navigation interface used to facilitate advancing a stimulation element within a patient body toward a target nerve stimulation site. Using the system one determines, separately for each potential target nerve stimulation site, a neuromuscular response of muscles produced upon applying a stimulation signal at the respective separate potential target stimulation sites. The image-based navigation interface is configured to display a graphic identification of which muscles were activated for each respective potential target nerve stimulation site upon applying the stimulation signal.

A system and method for identifying a stimulation location on a nerve is disclosed. The system includes an image-based navigation interface used to facilitate advancing a stimulation element within a patient body toward a target nerve stimulation site. Using the system one determines, separately for each potential target nerve stimulation site, a neuromuscular response of muscles produced upon applying a stimulation signal at the respective separate potential target stimulation sites. The image-based navigation interface is configured to display a graphic identification of which muscles were activated for each respective potential target nerve stimulation site upon applying the stimulation signal.

Provided is an apparatus for managing a player with a guard including a sensor sensing a vital information of a player to calculate an injury risk of the player to thereby manage a condition of the player, the apparatus including: a communication unit receiving the vital information from the guard and transmitting the injury risk to the guard; a memory storing a program calculating the injury risk to manage the condition of the player; and a processor connected to the communication unit and the memory to execute an operation implemented by the program, in which the program may include instructions using the vital information and pre-stored vital recovering ability data of the player to calculate the injury risk of the player.

A bioelectrical signal controlled exercise machine system for allowing an exerciser to control the state of an exercise machine and exercise environment. The bioelectrical signal controlled exercise machine system generally includes an exercise machine, a bioelectrical sensor device and a control unit in communication with the bioelectrical sensor device and the exercise machine. The control unit is adapted to receive data from the bioelectrical sensor device relating to measured bioelectrical signals of the human exerciser, and wherein the control unit transmits a control signal to the exercise machine to change the state of the exercise machine based on the data from the bioelectrical sensor device.

A bioelectrical signal controlled exercise machine system for allowing an exerciser to control the state of an exercise machine and exercise environment. The bioelectrical signal controlled exercise machine system generally includes an exercise machine, a bioelectrical sensor device and a control unit in communication with the bioelectrical sensor device and the exercise machine. The control unit is adapted to receive data from the bioelectrical sensor device relating to measured bioelectrical signals of the human exerciser, and wherein the control unit transmits a control signal to the exercise machine to change the state of the exercise machine based on the data from the bioelectrical sensor device.

A cue processor uses one or more sensors to obtain motion data for a user performing a physical task in an environment. A cueing law is based on a model determined from the motion data, for example a movement and skill model where the collected motion data are parsed into one or more movement units used to accomplish a range of outcomes. The cue processor generates a movement phase estimation to predict a movement phase and associated movement feature, and applies the cueing law to generate a cue signal. The cue signal is communicated to the user as a visual, audio or haptic stimulus, selected to target the feature for the user to achieve or improve a desired outcome.

Various embodiments of a hearing device and a method of forming such device are disclosed. The device includes a housing adapted to be worn on or behind an ear of a wearer and includes a housing body and a top plate connected to the housing body. The hearing device further includes a sensor disposed on at least one of a first side surface and a second side surface of the housing body. The sensor is adapted to be in contact with either a pinna or a skull of the wearer. The sensor is further adapted to detect a physiological characteristic of the wearer and generate a sensor signal based on the physiological characteristic.

Various embodiments of a hearing device and a method of forming such device are disclosed. The device includes a housing adapted to be worn on or behind an ear of a wearer and includes a housing body and a top plate connected to the housing body. The hearing device further includes a sensor disposed on at least one of a first side surface and a second side surface of the housing body. The sensor is adapted to be in contact with either a pinna or a skull of the wearer. The sensor is further adapted to detect a physiological characteristic of the wearer and generate a sensor signal based on the physiological characteristic.

An electrode lead may comprise a flexible circuit that includes a planar dielectric substrate including an elongated lead substrate portion having opposing ends, an electrode carrying substrate portion disposed on one end of the lead substrate portion, and a connector substrate portion disposed on the other end of the lead substrate portion, wherein the lead substrate portion is pre-shaped into a three-dimensional structure. The flexible circuit may further include an electrically conductive trace extending from the connector substrate portion to the electrode carrying substrate portion, a first window formed in the connector substrate portion to expose the electrically conductive trace to form a connector pad, and a second window formed in the electrode carrying substrate portion to expose the electrically conductive trace to form an electrode pad. The electrode lead may further comprise a lead connector that incorporates the connector substrate portion.