An apparatus for measuring intracranial dynamics comprises the at least one sensing device (100): an electroencephalo-graphic electrode arrangement, which senses direct-current electroencephalographic signals from the brain, an optic measurement Marrangement (120), which directs optic radiation toward the brain through the cranium, and receives the optic radiation reflected and/or scattered therefrom, and/or a capacitive sensor arrangement (130), which senses electric potential signals of the head. The apparatus additionally comprises a data processing arrangement (150), which receives electric signals from the at least one sensing device (100), and determine data on at least one of the following dynamics: glymphatic activity, water within the cranium, brain tissue movements, water and/or electrolyte movements and intracranial pressure based on said electric signals from the at least one sensing device (100). The data processing arrangement (150) then outputs at least one piece of the data on the dynamics through a user interface (152).

A neurostimulation system provides for capture verification and stimulation intensity adjustment to ensure effectiveness of vagus nerve stimulation in modulating one or more target functions in a patient. In various embodiments, stimulation is applied to the vagus nerve, and evoked responses are detected to verify that the stimulation captures the vagus nerve and to adjust one or more stimulation parameters that control the stimulation intensity.

A biological information processing system includes a pulse wave information acquisition unit which acquires pulse wave information of a user, and a processing unit which determines the sleep state of the user based on the pulse wave information. The processing unit obtains index information relating to an arousal state during sleep based on the pulse wave information.

The invention is related to a method of diagnosing degree of neuropathy of a nerve by diffusion tensor mapping, said method comprising the following steps: a) acquiring diffusion tensor imaging, DTI, digital images of the nerve based on magnetic resonance, MR, data of the part of the body comprising said nerve, b) for each voxel in said DTI digital images calculating a diffusion tensor D

[00001]$\stackrel{?}{D}=\left[\begin{array}{ccc}{D}_{\mathrm{xx}}& D_{xy}& D_{xz}\\ D_{yx}& D_{yy}& D_{yz}\\ D_{zx}& D_{zy}& D_{\mathrm{zz}}\end{array}\right].$

and finding its eigenvalues L.sub.1>L.sub.2>L.sub.3:

[00002]$\stackrel{?}{L}=\left[\begin{array}{ccc}{L}_1& 0& 0\\ 0& L_2& 0\\ 0& 0& L_3\end{array}\right]$ c) selecting a region of interest in at least one of said DTI digital images, said region of interest comprising pixels, d) calculating the threshold value ?.sub.th of a cutoff parameter ?, ranging from 0 to L.sub.1, as the minimal value of ? for which the following cutoff condition

[00003]$L_1?RD+?$

is false for all pixels within the region of interest,
wherein RD is a radial diffusivity defined as

[00004]$R$

An electrode assembly includes a needle and a conductive thread electrode carried in a slot on the surface of the needle. The needle pushes the thread electrode into the body and leaves it in place when the needle is removed. The needle is secured in a housing in a retracted position and moved to an extended position by a latch. In the extended position, one end of the needle remains in the housing and the other end extends from the housing. The needle is attached to a spring inside the housing and is moved by the latch against the urging of the spring to the extended position and locked in place. A protective cover is applied over the needle while extended and removed to insert the needle into the body of a patient.

A user migraine analysis component comprises a memory configured to store computer executable instructions, and a processor for executing the computer executable instructions. The computer executable instructions comprise instructions for receiving at least a visual behavior parameter indicative of the real time visual behavior of the user, and determining the migraine risk of the user based on the analysis of the at least one visual behavior parameter.

A multi-wavelength surgical system is provided using an endoscope sensitive in the short-wave infrared region which allows exploration of different areas of the skull base for CSF leaks. The device includes an LED box with multiple wavelengths including allowing excitation of ICG with 785-808 nm, enhancing the water absorption from 1200-1550 nm and above 1800 nm and incorporating white light to allow for surgical navigation. Because CSF is 99% water having a large absorption in the SWIR band around 1200-1550 nm and above 1800 nm, the system and method should be an effective means of diagnosis without the need for intrathecal fluorescein.

Disclosed is a method for constructing a sensory space of an individual, including: the individual performing a sensory evaluation with at least 4 basic stimuli representative of the sense to be studied, the stimuli having an intensity (or power or level) lower than or in the vicinity of the detection threshold of the sense to be studied; recording signals relating to at least one physiological indicator having reacted during the stimuli; extracting physiological parameters from the recorded signals of the at least one physiological indicator; identifying physiological parameters differentiating the physiological responses; constructing a sensory space based on the physiological responses (PRSS) from the identified differentiating physiological parameters by statistical treatment.

A multi-site probe for interfacing with the central nervous system includes one more structures disposed perpendicularly on a backing layer, where each structure includes a braided sleeve over a flexible or rigid core, and a delivery-vehicle. The structures may include optrodes and electrodes. The location of the probe may be determined through the application of combinatorics.

The present disclosure provides systems and methods for correlating measurement in neurostimulation systems. A neurostimulation system includes a first sensor configured to acquire movement measurements for a subject, a second sensor configured to acquire neural measurements for the subject, and a computing device communicatively coupled to the first and second sensors. The computing device is configured to receive a movement signal from the first sensor, and receive a neural signal from the second sensor, wherein one of the movement signal and the neural signal is a trigger signal and the other of the movement signal and the neural signal is a signal of interest. The computing device is further configured to detect at least one trigger event in the trigger signal, and use the signal of interest based on the at least one trigger event.