A device for analysing and/or monitoring brain waves configured to be worn by a person, in particular during a period when the person is sleeping. The device includes a support element configured to at least partially surround the person's head so as to be held thereon, and the support element includes at least one three-dimensional fabric.

A device for analysing and/or monitoring brain waves configured to be worn by a person, in particular during a period when the person is sleeping. The device includes a support element configured to at least partially surround the person's head so as to be held thereon, and the support element includes at least one three-dimensional fabric.

The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub includes configurable medical ports and serial ports for communicating with other medical devices in the patient's proximity. Moreover, the hub communicates with a portable patient monitor. The monitor, when docked with the hub provides display graphics different from when undocked, the display graphics including anatomical information. The hub assembles the often vast amount of electronic medical data, associates it with the monitored patient, and in some embodiments, communicates the data to the patient's medical records.

The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub includes configurable medical ports and serial ports for communicating with other medical devices in the patient's proximity. Moreover, the hub communicates with a portable patient monitor. The monitor, when docked with the hub provides display graphics different from when undocked, the display graphics including anatomical information. The hub assembles the often vast amount of electronic medical data, associates it with the monitored patient, and in some embodiments, communicates the data to the patient's medical records.

An intracranial apparatus that may be used for electrophysiological monitoring and stimulation of brain tissue of a patient. Embodiments comprise a stylet including a body section and a tip configured to separate brain tissue, a sheath including a body section having an outer surface defining a central opening configured to receive the stylet such that the tip of the stylet extends beyond the body section of the sheath, and a plurality of electrodes disposed at the outer surface of the sheath and configured to be connected to the brain tissue surrounding the sheath for stimulating and/or monitoring.

A method includes engaging Parkinson's Disease (PD) subjects in a continuous motor performance task that elicits natural motor variability, quantifying natural motor variability of each PD subject with an array of motor metrics at short timescales, applying a machine-learning classification or regression algorithm to determine weights for each of these metrics to maximally differentiate each patient's motor performance from that of controls performing the same task, and combining the weights to determine a scalar metric of motor performance for each short epoch of motor behavior.

Provided in the embodiments of the present disclosure are a control method and device based on brain signal, and a human-machine interaction device, which periodically acquire EEG signals and cerebral oxygen signals within a target period, generate an electroencephalogram (EEG) wave curve representing changes of the EEG signals and a cerebral oxygen wave curve representing changes of the cerebral oxygen signals respectively within the target period, determine whether the EEG wave curve and the cerebral oxygen wave curve satisfy a condition for controlling a controlled device to perform a target operation, and control the controlled device to perform the target operation when the EEG wave curve and the cerebral oxygen wave curve satisfy the condition.

Provided in the embodiments of the present disclosure are a control method and device based on brain signal, and a human-machine interaction device, which periodically acquire EEG signals and cerebral oxygen signals within a target period, generate an electroencephalogram (EEG) wave curve representing changes of the EEG signals and a cerebral oxygen wave curve representing changes of the cerebral oxygen signals respectively within the target period, determine whether the EEG wave curve and the cerebral oxygen wave curve satisfy a condition for controlling a controlled device to perform a target operation, and control the controlled device to perform the target operation when the EEG wave curve and the cerebral oxygen wave curve satisfy the condition.

Glasses that are provided with biosensors for detecting signals and are in contact with the user's head are described, which glasses comprise a front frame (2) for supporting respective lenses (4), a pair of sides (6) articulated to the frame on laterally opposing sides, and a nasal-bearing device (8), each of the sides (6) extending in a longitudinal extension direction and comprising a side body (6a) extending into an end side portion (6b) in which a particular sensor (25) that makes contact with the head is integrated, and in which the end side portion (6b) comprises a pair of branches (26a, 26b), which extend from a common end (27), which is connected to the side body (6a), in the longitudinal extension direction of the side (6) in a manner spaced apart from one another, one (26a) of the branches being provided with an internal cavity (29) for housing a core (30) made of a conductive metal material and both the branches (26a, 26b) being made of a resiliently pliable and electrically conductive material.

Devices and methods for monitoring, stimulating, and entraining electrical activity generated by the brain of a person are provided. Electroencephalography (EEG) and photobiomodulation (PBM) devices in the form of headphones for monitoring, stimulating, and entraining electrical activity generated by a person's brain are described, along with methods for monitoring and stimulating a person's cognitive and physiological state using the provided devices. PBM light is pulsed to stimulate an increase in targeted brainwave frequencies through entrainment and providing additional energy to mitochondria. PBM stimulation is combined with EEG sensors and neurofeedback. The neurofeedback may be used to assist users with stress, anxiety, fatigue, mood, creativity and mental focus and acuity.