Google Inc.

City, Universsity of London

Justin Phillips

Yojan Patel

Christopher Uff

Panayiotis Kyriacou

Tomas Abay

SeongHwan Cho

A system for in-vivo monitoring of intracranial pressure is provided. The system includes a probe and a controller. The probe includes optical emitters and optical detectors. The optical detectors detect light emitted by the optical emitters generate signals representative of the detected light. The controller includes memory and processor. The controller connects to the probe to energize the optical emitters and receiving signals from the optical detectors. The system may include modelling, extraction, and pressure prediction modules. The modelling module can relate intracranial pressure to features of an optical signal representative of a degree to which light input into a subject's skull is absorbed by the subject's brain. The extraction module can extract signal features from a signal derived from the optical signals output by the detectors. The pressure prediction module can input the signal features into the modelling module and output an indication of intracranial pressure.

Device and method for non-invasive prediction of intracranial pressure based on optical means

A cardiovascular monitoring system includes a first monitoring device configured to couple to a first body part of a subject and a second monitoring device configured to couple to a second body part of the subject. The first monitoring device is configured to measure a first cardiovascular signal and a first motion signal at the first body part, and the second monitoring device is configured to measure a second cardiovascular signal and a second motion signal at the second body part. A controller of the system receives the first and second cardiovascular signals and the first and second motion signals and filters the first and second cardiovascular signals by removing spectral components that correspond to spectral components of the first and second motion signals. Based on a correlated spectral component that is present in both the filtered first and second cardiovascular signals, the system determines cardiovascular information of the subject.

Cardiovascular monitoring using multiple sensors

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London, United Kingdom

Justin Phillips