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 device for measuring the turbidity of cerebrospinal fluid includes, a source of a light signal comprising having one or more wavelength(s), such that at least part of the emitted light signal passes through the cerebrospinal fluid; a flow element including an inlet and an outlet, the flow element being suitable for allowing cerebrospinal fluid to flow between the inlet and the outlet; an opaque element, arranged to absorb at least part of the emitted light signal after it has passed through the cerebrospinal fluid, and to allow another part of the emitted light signal to be reflected after it has passed through the cerebrospinal fluid; and an optical detector configured to detect the light signal after it has passed through the cerebrospinal fluid.

An implantable nerve stimulator is implanted in a patient near a nerve target. The implantable nerve stimulator has a plurality of electrodes through which stimulation is provided to the nerve target. The relative location of the nerve target and the electrodes may be determined by applying stimulation to the nerves via each of the electrodes, determining an effect of the stimulation for each of the electrodes, and mapping a location of the nerve relative to the electrodes based on the effect of the stimulation for each of the electrodes.

The present disclosure provides systems and methods for diagnosing disease. In some aspects, an imaging system is provided that includes a light source configured to illuminate a retina of the eye with light, one or more imaging devices configured to receive light returned from the retina to generate one or more spatial-spectral images of the retina, and a computing device configured to receive the one or more spatial-spectral images of the retina, evaluate the one or more spatial-spectral images, and identify one or more biomarkers indicative of a neurogenerative pathology.

Methods and systems useful for detecting neurological disorders and for measuring general cognitive performance, in particular by measuring eye movements and/or pupil diameter during eye-movement tasks.

Central nervous (“CNS”) health in subjects who have human immunodeficiency virus (“HIV”) or non-human-species analogs thereof is 102 evaluated or otherwise monitored by analyzing frequency following response (“FFR”). In general, one or more components of an FFR are analyzed, The FFR is measured in response to the administration of an acoustic stimulus to the subject. The acoustic stimulus includes a complex sound, which may include a consonant and a consonant-to-vowel transition. An indication of CNS health can be generated by measuring changes in the FFR components (e.g., over time or relative to normative data).

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 process for classifying anesthetic depth includes: collecting of biological signals, conditioning of said signals, monitoring of activity of the central and autonomic systems, measurement of indexes and classification of patterns in anesthetic depth. The activity includes: i) Awake: Vigil—Ak. and recovery of verbal response—Rc. ii) Light Anesthesia: Light induction anesthesia—Li. Light recovery—Lr, Light dose, increase in drugs or patient movement (La), iii) General anesthesia: General anesthesia—Ga, one minute after the start of the surgery, and iv) Deep anesthesia: identification of the EEG burst-suppression pattern (BSP) associated with deep anesthesia.

There is provided an apparatus (100) for detecting tissue inflammation. The apparatus (100) comprises a processor (102) configured to acquire, from at least one sensor (104), a plurality of photoplethysmography, PPG, signals indicative of light detected in a region of tissue at a plurality of respective locations within the region. The processor is also configured to process the acquired plurality of PPG signals to determine an amplitude and a phase of each of the plurality of PPG signals and detect tissue inflammation based on the determined amplitude and phase of each of the plurality of PPG signals.

The disclosed systems and methods include displaying disease trigger icons within a disease trigger map in a GUI, where the disease trigger map corresponds to a particular disease symptom, and where the position and size of a particular trigger icon within the trigger map based one or more of (i) the degree or strength of a statistical association between the trigger icon's corresponding disease trigger and the disease symptom, and (ii) a cumulative frequency and/or amount of exposure to the trigger icon's corresponding disease trigger. Some embodiments also include displaying a patient population disease trigger map one or more relationships between (i) one or more disease triggers and (ii) one or more patients of the patient population. Some embodiments may further include facilitating communication and/or disease trigger information sharing among patients.