An intraoral multisensor device includes a mouthpiece, a plurality of sensors at least one of attached to or integrated with the mouthpiece, and a data communications unit configured to receive signals from the plurality of sensors. The mouthpiece has a form to permit stable arrangement at least partially within a person's mouth such that it can remain for hands-free sensing of a plurality of biological parameters. Also, an intraoral multisensor system includes an intraoral multisensor device and a data processing device adapted to communicate with the intraoral multisensor device.

An intraoral multisensor device includes a mouthpiece, a plurality of sensors at least one of attached to or integrated with the mouthpiece, and a data communications unit configured to receive signals from the plurality of sensors. The mouthpiece has a form to permit stable arrangement at least partially within a person's mouth such that it can remain for hands-free sensing of a plurality of biological parameters. Also, an intraoral multisensor system includes an intraoral multisensor device and a data processing device adapted to communicate with the intraoral multisensor device.

Described here is a deep brain stimulation (“DBS”) approach that targets several relevant nodes within brain circuitry, while monitoring multiple symptoms for efficacy. This approach to multi-symptom monitoring and stimulation therapy may be used as an extra stimulation setting in extant DBS devices, particularly those equipped for both stimulation and sensing. The therapeutic efficacy of DBS devices is extended by optimizing them for multiple symptoms (such as sleep disturbance in addition to movement disorders), thus increasing quality of life for patients.

Described here is a deep brain stimulation (“DBS”) approach that targets several relevant nodes within brain circuitry, while monitoring multiple symptoms for efficacy. This approach to multi-symptom monitoring and stimulation therapy may be used as an extra stimulation setting in extant DBS devices, particularly those equipped for both stimulation and sensing. The therapeutic efficacy of DBS devices is extended by optimizing them for multiple symptoms (such as sleep disturbance in addition to movement disorders), thus increasing quality of life for patients.

A harness comprising a patient module connector, an extremity hub; a cable branch including a plurality of channel pairs. The cable branch includes a first end coupled to the patient module connector and a second end coupled to the extremity hub. The harness comprises a monitoring cable configured to attach and detach from the extremity hub.

A harness comprising a patient module connector, an extremity hub; a cable branch including a plurality of channel pairs. The cable branch includes a first end coupled to the patient module connector and a second end coupled to the extremity hub. The harness comprises a monitoring cable configured to attach and detach from the extremity hub.

The systems and methods can accurately and efficiently determine abnormal cardiac activity from motion data and/or cardiac data using techniques that can be used for long-term monitoring of a patient. In some embodiments, the method for using machine learning to determine abnormal cardiac activity may include receiving one or more periods of time of cardiac data and motion data for a subject. The method may include applying a trained deep learning architecture to each tensor of the one or more periods of time to classify each window and/or each period into one or more classes using at least the one or more signal quality indices for the cardiac data and the motion data and cardiovascular features. The deep learning architecture may include a convolutional neural network, a bidirectional recurrent neural network, and an attention network. The one or more classes may include abnormal cardiac activity and normal cardiac activity.

One aspect of the invention provides a method of measuring brain state. The method includes: receiving a first plurality of electrical signals from a contact lens placed on a surface of a subject's eye, the first plurality of electrical signals associated with a first plurality of electrodes lying adjacent to an iris dilator muscle of the subject's eye. Another aspect of the invention provides a contact lens including: an optically transparent or translucent substrate; and one or more pairs of electromyography electrodes arranged on or within the optically transparent or translucent substrate. At least one of the one or more pairs electromyography electrodes are arranged to lie adjacent to an iris dilator muscle of a subject's eye when the contact lens is placed on the eye.

One aspect of the invention provides a method of measuring brain state. The method includes: receiving a first plurality of electrical signals from a contact lens placed on a surface of a subject's eye, the first plurality of electrical signals associated with a first plurality of electrodes lying adjacent to an iris dilator muscle of the subject's eye. Another aspect of the invention provides a contact lens including: an optically transparent or translucent substrate; and one or more pairs of electromyography electrodes arranged on or within the optically transparent or translucent substrate. At least one of the one or more pairs electromyography electrodes are arranged to lie adjacent to an iris dilator muscle of a subject's eye when the contact lens is placed on the eye.

The present disclosure generally relates to devices, systems, and methods for detecting, monitoring, predicting, and/or treating medical conditions (e.g., epileptic seizures) using one or more sensors configured to collect biomarker data from a human subject (e.g., vagal tone and/or physiological or other biomarkers).