There is disclosed a system for monitoring, non-invasively, intracranial pressure of a subject. The system includes a vibroacoustic sensor and an electric potential sensor. The vibroacoustic sensor is configured to detect vibroacoustic signals associated with intracranial pressure of the subject, within a bandwidth ranging from about 0.01 Hz to about 20 kHz. The electric potential sensor is configured to detect electric potential signals reflective of baseline time-based events in the subject for identifying baseline time-based intracranial pressure changes from the detected vibroacoustic signals. The vibroacoustic sensor is housed in a wearable device. The wearable device is configured to be non-invasively coupled to the subject's head.

Methods for diagnosing if a patient is suffering from a stroke include: positioning a headset around the patient's head to receive vibrations generated by a cerebral vasculature of the patient's brain, the headset including at least one microphone or accelerometer; processing the received vibrations to obtain a signal; analyzing the signal to identify a pattern indicative of a stroke; and determining that the patient is suffering from a stroke based upon the result of a CT scan of the patient's brain and neck and the identified pattern indicative of a stroke.

A method for assessing a patient may involve performing a first diagnostic procedure on the patient. The first diagnostic procedure may involve securing a volumetric integral phase-shift spectroscopy (VIPS) device to the patient's head, measuring an intracranial bioimpedance with the VIPS device, and detecting an asymmetry based on the measured intracranial bioimpedance. The method may further involve performing a second diagnostic procedure on the patient using an additional diagnostic device, receiving first patient data from the first diagnostic procedure and second patient data from the second diagnostic procedure in a computer processor, processing the first patient data and the second patient data with the computer processor, and generating an assessment of the patient with the computer processor, based at least in part on the processed first patient data and second patient data.

Systems and methods for monitoring food intake include an air pressure sensor for detecting ear canal deformation, according to some implementations. For example, the air pressure sensor detects a change in air pressure in the ear canal resulting from mandible movement. Other implementations include systems and methods for monitoring food intake that include a temporalis muscle activity sensor for detecting temporalis muscle activity, wherein at least a portion of the temporalis muscle activity sensor is coupled adjacent a temple portion of eyeglasses and disposed between the temple tip and the frame end piece. The temporalis muscle activity sensor may include an accelerometer, for example, for detecting movement of the temple portion due to mandibular movement from chewing.

With a simple structure, to make it possible to detect a head biological signal that reflects the state of cerebral blood flow, and to make it possible to assess a sleep stage based on a variation in the cerebral blood flow. A head biological signal detection sensor is supported on the head using a sensor support member such that a connecting yarn sags to make an interval between a pair of facing ground knitted fabrics in a three-dimensional knitted fabric narrower than that under no load. With this configuration, microvibration occurring in yarns and fibers forming the three-dimensional knitted fabric of the head biological signal detection sensor or in other places due to head movement resulting from body motion or the like generates stochastic resonance, which makes it possible to detect a head biological signal.