A flow sensor system for ventilation treatment comprises a flow conduit configured to allow gas flow between a first region and a second region, the flow conduit defining a lumen for the gas flow; a flow restrictor disposed within the lumen of the flow conduit between the first region and the second region; a first absolute pressure sensor disposed adjacent to the first region of the flow conduit and configured to measure a pressure of the gas flow at the first region of the flow conduit; and a second absolute pressure sensor disposed adjacent to the second region of the flow conduit and configured to measure pressure of the gas flow at the second region of the flow conduit.

A system (SYS) and related method for imaging support. The system (SYS) comprises a stimulus delivery component (SDC) configured to cause a chemoreceptor stimulus in a patient residing in or at an imaging apparatus (IA). A response measuring component (RMC) measure a response of the patient to the stimulus, and a decision logic (DL) establishes, based on the measured response, a sedation status of the patient for the purpose of imaging the patient. An imaging operation can be modified, for instance, halted if the patient is no longer sufficiently sedated.

A universal implantable integrated circuit medical device platform having integral and monolithic circuit traces. The platform allows for implanting into a mammalian body single and multi-functional interface devices for sensing, monitoring stimulating and/or modulating physiological conditions within the body. Microelectronic circuitry may be integrated onto the platform or may be joined as modular components to the platform.

An objective screening platform for mTBI screening includes a vergence testing stimulus generator visible to a subject and configured for presenting visual stimulus to a subject which forms an optical target stimulus for at least one vergence test; at least one data acquisition unit for obtaining objective physiologic responses of the subject unit based upon each of the visual stimulus presented to the subject in each test, wherein the objective physiologic responses for each test include at least one eye position parameter and at least one pupil area parameter; and a controller configured for using at least one eye position parameter and at least one pupil area parameter to screen for the presence of mTBI of the subject.

In some examples, a device includes processing circuitry configured to receive first and second signals indicative of first and second physiological parameters and determine a trendline function based on values of first and second physiological parameters. The processing circuitry is further configured to determine transformed values of the first physiological parameter based on the trendline function. The processing circuitry is configured to determine correlation coefficient values for the transformed values of the first physiological parameter and the values of the second physiological parameter. The processing circuitry is further configured to determine a limit of autoregulation of the patient based on the correlation coefficient values. The processing circuitry is configured to determine an autoregulation status based on the estimate of the limit of autoregulation and output, for display, an indication of the autoregulation status.

This disclosure relates generally to detection of mild cognitive impairments in subjects. The method and system proposed provides a continuous/seamless monitoring platform for MCI detection in subjects by continuously monitoring routine activities of subjects (Activities of Daily Living (ADL)) in a smart environment using plurality of passive, unobtrusive, binary, unobtrusive non-intrusive sensors embedded in living infrastructure. The proposed method and system detects symptoms of MCI at the onset of the disease, while also addressing issue of sensor failures that causes gaps in the data. The collected sensor data is pre-processed in several stages which includes which includes pre-processing of sensor data, behavior deviation detection, and abnormality detection and so on. Further, the disclosure also proposes an autoencoder based technique, to reduce the dimension of the data to find personalized deviations in behavior of a subject which is used to detect if a subject could be a potential case of MCI.

A transcranial magnetic stimulation (TMS) treatment system is provided. The system includes a sensor device that senses EEG signals from a subject through one or more leads and a server device configured to receive EEG data corresponding to the subject. The server includes an analysis module configured to process the EEG data and determine a personalized resonant brain frequency and a minimum neuronal activation threshold of the subject based at least in part on EEG data corresponding to one or more leads of the sensor device. The analysis module is also configured to determine a TMS treatment protocol where the treatment protocol includes at least a frequency based on the personalized resonant brain frequency and an amplitude based on the minimum neuronal activation threshold. The system also includes a treatment device configured to deliver a TMS treatment to the subject based on the TMS treatment protocol received from the server.

An information processing method includes: obtaining first image data indicating an image of at least one portion of a face of a target person from a camera connected to or built into a first computer; obtaining cerebral blood flow information indicating a state of cerebral blood flow of the target person from a detector that is connected to or built into the first computer and that detects the cerebral blood flow information; and displaying, on a display connected to or built into a second computer connected to the first computer through a remote network, an output image including a first image based on the first image data and a second image based on the cerebral blood flow information. The first image is a moving image including the at least one portion of the face, and the second image indicates changes over time in the cerebral blood flow information.

The present application provides a method and an apparatus of modulating a neuronal firing frequency at a brain functional site in a brain, the method comprising: generating an electromagnetic field with its power in variation at the preset modulating frequency; and arranging the generated electromagnetic field near the brain such that the brain functional site is within the range of the near field of the electromagnetic field, to polarize extracellular fluid at the brain functional site with the power of the electromagnetic field, such that a polarization density of the extracellular fluid varies at the preset modulating frequency and neurons in the extracellular fluid are modulated to fire at the preset modulating frequency.

A system and a method measure volumetric changes of brain structures. The method includes initializing an intensity value of all voxels of a 3D voxel dataset representing the brain of a subject to an initial value preferentially equal to 0. For all voxels that belong to a segmented brain structure for which reference data of a longitudinal reference model exists, automatically executing the following steps: calculating a deviation of a volume change for the segmented brain structure from the longitudinal reference model, normalizing the deviation to obtain a quantitative value of the volume change on a same scale for voxel's belonging to different brain structures; and setting the intensity value of the voxels to the previously obtained quantitative value Q. The voxels of the 3D voxel dataset are displayed in a form of a longitudinal deviation map.