An electrode system includes an electrode, a connector, and a cable with an in-line radio-frequency filter module comprising resistors and inductors without any deliberately added capacitance. The resistors are arranged in an alternating series of resistors and inductors, preferably with resistors at both outer ends, and connected electrically in series. The in-line module is located at a specific location along the wire, chosen through computer modeling and real-world testing for minimum transfer of received RF energy to a patient's skin, such as between 100 cm and 150 cm from the electrode end of a 240 centimeter cable. The total resistance of the resistors plus cable, connectors and solder is 1000 ohms or less; while the total inductance is roughly 1560 nanohenries. The inductors do not include ferrite or other magnetic material and are, together with the resistors, stock components thereby simplifying manufacture and reducing cost.

Herein a Swivel-Balance Cage System is described that markedly improves the safety and longevity of continuous long-term EEG monitoring in rodents. The described customized swivel-balance cage system allows tension-free rodent mobility.

One variation of a system for locating electrodes on a head of a user includes a headset defining a set of electrode bodies elastically interconnected by a unique set of spring elements configured to locate the set of electrode bodies at electrode positions of the international 10-20 standard, irrespective of the size of the head of the user. The spring elements are configured to carry electrical signals between interconnected electrode bodies and ultimately to a controller. An electrode tip is mechanically and electrically coupled to each electrode body. The electrode tip comprises a thin conductive probe mounted at the distal end of an elastic beam and is configured to extend from a base of the electrode tip, bypass hair, and electrically couple to the head of the user, and an insulative boss, configured to rest on and transfer the weight of the headset to the head of the user.

One variation of a system for locating electrodes on a head of a user includes a headset defining a set of electrode bodies elastically interconnected by a unique set of spring elements configured to locate the set of electrode bodies at electrode positions of the international 10-20 standard, irrespective of the size of the head of the user. The spring elements are configured to carry electrical signals between interconnected electrode bodies and ultimately to a controller. An electrode tip is mechanically and electrically coupled to each electrode body. The electrode tip comprises a thin conductive probe mounted at the distal end of an elastic beam and is configured to extend from a base of the electrode tip, bypass hair, and electrically couple to the head of the user, and an insulative boss, configured to rest on and transfer the weight of the headset to the head of the user.

An ultrasound probe holding device configured to attach to the head of an infant for transfontanellar imaging is disclosed, including a head pad configured to be in contact with the head of the infant and including a central opening, wherein the head pad is configured to receive an ultrasound probe; a pad squeezer, including a central opening and configured to cooperate with the head pad to allow an axial guidance of the head pad along a guidance axis substantially perpendicular to a surface tangent to the head of the infant; a device holder configured to be attached to the head of the infant and exert a downward force on the pad squeezer, along said guidance axis; and a repellent configured to exert a repellent force between the pad squeezer and the head pad when the device holder exerts the downward force on the pad squeezer.

A systems and methods for calibrating a neural device using transfer learning techniques. The methods can include aggregating calibration data across a user population to define a global dataset, identifying similar data segments across the global dataset to define a task-independent training dataset, training a feature extraction model based on the task-independent training dataset to define a trained, task-independent feature extraction model, receiving the calibration data from a user calibrating the neural device, and calibrating a user-specific feature extraction model using the trained, task-independent feature extraction model and the calibration data.

A brainwave auscultation method includes steps: providing a brainwave auscultation device; placing a brainwave pickup unit of the brainwave auscultation device on the head of a testee to acquire a primitive brainwave signal of the testee, and transmitting the primitive brainwave signal to a signal processing unit; the signal processing unit filtering the primitive brainwave signal according to a waveband reservation standard to generate a preparatory signal, wherein wavebands reserved by the waveband reservation standard include a ? waveband, a ? waveband, an ? waveband, a ? waveband, and a ? waveband; the signal processing unit shifting a central frequency of the preparatory signal to an audible range of human ears; the signal processing unit performing spread-spectrum operation to the shifted preparatory signal to generate a pre-vocalization signal whose frequencies range from 20 Hz to 20 kHz; and making a loudspeaker generate sounds based on the pre-vocalization signal.

A brainwave auscultation method includes steps: providing a brainwave auscultation device; placing a brainwave pickup unit of the brainwave auscultation device on the head of a testee to acquire a primitive brainwave signal of the testee, and transmitting the primitive brainwave signal to a signal processing unit; the signal processing unit filtering the primitive brainwave signal according to a waveband reservation standard to generate a preparatory signal, wherein wavebands reserved by the waveband reservation standard include a ? waveband, a ? waveband, an ? waveband, a ? waveband, and a ? waveband; the signal processing unit shifting a central frequency of the preparatory signal to an audible range of human ears; the signal processing unit performing spread-spectrum operation to the shifted preparatory signal to generate a pre-vocalization signal whose frequencies range from 20 Hz to 20 kHz; and making a loudspeaker generate sounds based on the pre-vocalization signal.

The present disclosure relates to a patch guide method, including at least: acquiring a matched model of a 3D scan model and a 3D brain MM model; capturing an image of the head of the object by using a depth camera; matching one location of the captured image and one location on the matched model; and determining a patch location on the head of the object, by using a 3D brain map. In the method, physical characteristics of areas included in the brain MRI image are acquired and used to generate the 3D brain map of the object. In the method, a target stimulus point, to which an electrical stimulus is to be applied in a brain of the object, is acquired and used in a simulation of a delivery process of the electrical stimulus to the target stimulus point from candidate stimulus positions, to determine the patch location.

A systems and methods for calibrating a neural device using transfer learning techniques. The methods can include aggregating calibration data across a user population to define a global dataset, identifying similar data segments across the global dataset to define a task-independent training dataset, training a feature extraction model based on the task-independent training dataset to define a trained, task-independent feature extraction model, receiving the calibration data from a user calibrating the neural device, and calibrating a user-specific feature extraction model using the trained, task-independent feature extraction model and the calibration data.