In some embodiments, there is provided an apparatus including a common bus and a plurality of oscillatrode circuits coupled to the common bus, the plurality of oscillatrode circuits including a first oscillatrode circuit outputting a first frequency tone when a first input voltage is detected by the first oscillatrode circuit and a second oscillatrode circuit outputting a second frequency tone when a second input voltage is detected by the second oscillatrode circuit, wherein common bus carries the first frequency tone and the second frequency tone at different frequencies in a frequency division multiplex signal. Related systems, methods, and articles of manufacture are also disclosed.

A neurostimulation device includes a plurality of electrodes adapted to be electrically connected to a subject to receive multichannel electrical signals from the subject's brain, a multichannel seizure detection unit electrically connected to the plurality of electrical leads to receive the multichannel electrical signals, and a neurostimulation unit in communication with the multichannel seizure detection unit. The plurality of electrodes are at least three electrodes such that the multichannel electrical signals are at least three channels of electrical signals, and the multichannel seizure detection unit detects a presence of a seizure based on multichannel statistics from the multichannel electrical signals including higher order combinations than two-channel combinations.

An apparatus and method is provided for intraoperative tissue stimulation during port-based surgery. The apparatus includes an access port and electrical terminals attached to the access port for tissue stimulation. In an alternative embodiment, the apparatus may include an access port, with or without electrical terminals attached to the access port for tissue stimulation, and electrocorticography sensors attached to the access port. The method includes inserting an access port into a tissue, applying an electrical potential to the tissue using electrical terminals attached to the access port, and measuring consequent neural activity using electrocorticography sensors attached to the access port.

This application relates to an epilepsy monitoring device. In one aspect, the device includes a first unit having a first body portion arranged on a user's head, a sensor unit that is connected to the first body portion and includes a first sensor for measuring a cranial nerve signal, and a stimulation unit that is connected to the first body portion and applies cranial nerve treatment stimulation to the brain according to a provided brain stimulation signal. The device may also include a second unit electrically connected to the first unit and having a second body portion arranged on a body other than the user's head, a battery unit that is arranged in the second body portion and supplies power to the first unit, and a communication unit for wireless communication with an external device.

Provided are methods and systems of encoding and decoding speech from a subject using articulatory physiology. Methods of the present disclosure include receiving a physiological feature signal associated with a spatiotemporal movement of a vocal tract articulator, generating a speech pattern signal in response to the physiological feature signal, and outputting speech that is based on the speech pattern signal. Methods of the present disclosure further include acquiring one or more of a linguistic signal and an acoustic signal; associating a physiological feature with the linguistic or acoustic signal; generating a speech pattern signal in response to the physiological feature; and outputting speech that is based on the speech pattern signal. Speech decoding systems and devices using articulatory physiology for practicing the subject methods are also provided. Various steps and aspects of the methods will now be described in greater detail below.

The present invention relates to an adaptive training method of a brain computer interface. The ECoG signals expressing the neural command of the subject are preprocessed to provide at each observation instant an observation data tensor to a predictive model that deduces therefrom a command data tensor making it possible to control a set of effectors. A satisfaction/error mental state decoder predicts at each epoch a satisfaction or error state from the observation data tensor. The mental state predicted at a given instant is used by an automatic data labelling module to generate on the fly new training data from the pair formed by the observation data tensor and the command data tensor at the preceding instant. The parameters of the predictive model are subsequently updated by minimising a cost function on the training data thus generated.

A user interface of a computing device for programming a medical device configured to review historical user session data while disconnected from the medical device. During a programming session, the user interface on the computing device may include features to control the functionality of the medical device as well as view and manipulate available data stored at the medical device. The user interface may interactively view screens and features and manipulate data using the programming user interface, e.g., as if the external programming device were in a live programming session with the medical device, but while disconnected from the medical device and not in a live programming session. As one example, the user interface of the external programming device may permit flexible, extensive manipulation and viewing of sensed signals, patient events, and operational information, such as patient adjustments made over time or coincident with particular signals or events.

A base for supporting a piezoelectric sensor which includes a generally planar support frame having an opening and a housing mounted in the opening. The housing has an upper portion including a sensor and a lower portion including a biasing member in contact with the sensor. The sensor is biased by the biasing force of the biasing member against the upper portion of the housing, whereby the upper portion is in turn biased by the biasing force against a floor of a cage positioned on the upper side of the support frame.

The present disclosure relates to a brain-computer interface system and method. In an example, a brain-computer interface system includes a data processing unit, a data transceiver unit, and a sensing or stimulation unit. The system also includes a first communication path between the data transceiver unit and the sensing or stimulation unit including a first downlink channel for transmitting power and data from the data transceiver unit to the data sensing unit and a first uplink channel for transmitting data from the sensing or stimulation unit to the data transceiver unit. The system may additionally include a second communication path between the data processing unit and the data transceiver unit including a second downlink channel for transmitting power and data from the data processing unit to the data transceiver unit and a second uplink channel for transmitting data from the data transceiver unit to the data processing unit.

The present invention provides methods of utilizing a cranial implant to affect a behavior or condition of a person. The method generally comprises steps of 1) obtaining signals from the cranial implant of the person, 2) processing the obtained signals to produce a visually renderable image, and 3) rendering the image on an intraocular display.