A stroke detection system analyzes images of a person's face over time to detect asymmetric changes in the position of certain reference points that are consistent with sagging or drooping that may be symptomatic of a stroke or TIA. On detecting possible symptoms of a stroke or TIA, the system may alert caregivers or others, and log the event in a database. Identifying stroke symptoms automatically may enable more rapid intervention, and identifying TIA symptoms may enable diagnostic and preventative care to reduce the risk of a future stroke.

The invention concerns a method of analysing the brain activity of a patient performing a given task or in response to an external stimulus, by comparison of standardized data with data in a database, by means of fuzzy logic algorithms.

A biomagnetism measurement device includes a tubular body, an inflatable portion inflatable upon supply of gas, and a magnetic sensor portion that detects a magnetic field from outside the tubular body. The inflatable portion is located at a required region of the tubular body, and the magnetic sensor portion is fixed to an inner wall of the inflatable portion. The tubular body and the inflatable portion include the same material, and the wall thickness of the inflatable portion is thinner than that of the tubular body.

The present invention provides a system and method for collection, storage and processing of tissues and cells. The system includes a collection container with chambers for storing and processing tissues, which are controllably separated and maintain a physiologic environment for the tissues. The system also includes a fluidic device for isolating target cells of interest. The method includes receiving the tissue into a collection chamber, transferring the tissue to a processing chamber, dissociating the tis sue into single cells, and passing the single cells to a device for isolating one or more target cells.

An apparatus and a program are provided which are capable of simultaneously measuring, evaluating, imaging and displaying the biological function of sites with different biological functions, such as the brain and the muscle, different parts of the brain or different muscle locations, using near-infrared spectroscopy. In an apparatus for evaluating biological function K, physiological indices, including parameters derived from changes in deoxyhemoglobin concentration and changes in oxyhemoglobin concentration, are calculated by a calculating part of a controller. To measure simultaneously, evaluate, image and display the biological functions of sites with different biological function, such as the brain and the muscle, different parts of the brain or different muscle locations, these physiological indices from different sites of the living body are adjusted in such a way that they can be compared with each other by the calculating part and displayed by a display part.

The invention relates to a medical data processing method for determining a vulnerability field of a brain of a patient, the steps of the method being constituted to be executed by a computer and comprising: a) acquiring a nerve-indicating dataset comprising information about the brain of the patient suitable for identifying neural fibers in the brain of the patient; b) determining nodes within the brain preferably being neuron-rich grey matter parts of the brain; c) determining the axonal linkage of the nodes based on the nerve-indicating dataset to obtain edges connecting the nodes, the nodes and edges constituting a connectivity graph; d) determining a weight for each of the edges depending on centrality graph theoretical statistical measure of the respective edge in the connectivity graph; e) determining, for each of the edges, which voxels in a dataset of the brain of the patient belong to the edges or are passed by the edges and assigning or adding the determined weight of the respective edges to all of the voxels belonging to the respective edge to obtain a weighted voxel-based dataset of the brain of the patient defining the vulnerability field of the brain.

The system of the present invention includes at least one brain signal capturing device, at least one memory device for storing software instructions, and at least one processor. The processor is in communication with the brain signal capturing device and executes the instructions stored on the memory. The instructions include the steps of analyzing a user's brain signal patterns and searching based on the user's brain signals.

A method for inferring characteristics of a physiological system includes measuring one or more physiological signals in the physiological system and inferring characteristics of the physiological system from the one or more measured physiological signals using a multiple vascular compartment hemodynamic model, the multiple vascular compartment hemodynamic model defining a relationship between the one or more measured physiological signals and the characteristics of the physiological system. When the one or more measured physiological signals include coherent oscillations at a plurality of frequencies, the method is termed coherent hemodynamics spectroscopy. The multiple vascular compartment hemodynamic model is based on an average time spent by blood in one or more of said vascular compartments and a rate constant of oxygen diffusion.

A method and apparatus of determining the condition of a bulk tissue sample, by: positioning a bulk tissue sample between a pair of induction coils (or antennae); passing a spectrum of alternating current (or voltage) through a first of the induction coils (or antennae); measuring spectrum of alternating current (or voltage) produced in the second of the induction coils (or antennae); and comparing the phase shift between the spectrum of alternating currents (or voltages) in the first and second induction coils (or antennae), thereby determining the condition of the bulk tissue sample.

The invention provides a method of medical imaging. The method comprises: receiving, for a current active time window (204A-N) and during a brain activity analysis session (200, 500), fMRI data of a region of interest (309) of a subject (318) in an active state. A transverse relaxation, T2*, map may be generated from the fMRI data using a predefined model of fMRI data variations. The generated T2* map may be compared with a reference T2* map. A blood-oxygen-level dependent (BOLD) response of the region of interest (309) during the current active time window (204 A-N) may be estimated using the results of the comparison.