The present disclosure pertains to a system (10) configured to determine spectral boundaries (216, 218) for sleep stage classification in a subject (12). The spectral boundaries may be customized and used for sleep stage classification in an individual subject. Spectral boundaries determined by the system that are customized for the subject may facilitate sleep stage classification with higher accuracy relative to classifications made based on static, fixed spectral boundaries that are not unique to the subject. In some implementations, the system comprises one or more of a sensor (16), a processor (20), electronic storage (22), a user interface (24), and/or other components.

Apparatus and techniques are described herein for nuclear magnetic resonance (MR) projection imaging. Such projection imaging may be used to control radiation therapy delivery to a subject, such as including receiving reference imaging information, generating a two-dimensional (2D) projection image using imaging information obtained via nuclear magnetic resonance (MR) imaging, the 2D projection image corresponding to a specified projection direction, the specified projection direction including a path traversing at least a portion of an imaging subject, determining a change between the generated 2D projection image and the reference imaging information, and controlling delivery of the radiation therapy at least in part using the determined change between the obtained 2D projection image and the reference imaging information.

A non-invasive method of estimating intra-cranial pressure (ICP). The method including the steps of: a. non-invasively measuring pressure pulses in an upper body artery; b. determining central aortic pressure (CAP) pulses that correspond to these measured pressure pulses; c. identifying features of the ICP wave which denote cardiac ejection and wave reflection from the cranium, including Ejection Duration (ED) and Augmentation Index of Pressure (PAIx); d. non-invasively measuring flow pulses in a central artery which supplies blood to the brain within the cranium; e. identifying features of the measured cerebral flow waves which denote cardiac ejection and wave reflection from the cranium as Flow Augmentation Index (FAIx); f. calculating an ICP flow augmentation index from the measured central flow pulses; g. comparing the calculated ICP pressure augmentation index (PAIx) and flow augmentation index (FAIx) to measure (gender-specific) pressure and flow augmentation data indicative of a measured ICP to thereby estimate actual ICP; and h. noting any disparity between ED measured for pressure waves and ED measured for flow.

A biological information processing device includes: a pulse wave sensor which measures a pulse wave of a user; a body motion sensor which detects a body motion of the user; and a processing unit which performs estimation processing for pulse wave information of the user. The processing unit performs the estimation processing based on body motion information acquired using a signal from the body motion sensor, even if the pulse wave sensor is off.

A measurement device includes a light emitting element configured to irradiate a blood vessel of a subject with light, a light receiving element configured to output an optical signal from the subject as an electric signal, and a controller electrically connected to the light receiving element. The controller estimates a heart rate of the subject on the basis of a part of a plurality of frequency components included in output of the light receiving element.

An apparatus and method of measuring oxygenation of tissue in a non-invasive manner are provided. The apparatus comprises a light source configured to emit a light pattern to be projected onto the tissue, in which the light pattern comprises superimposed patterns having different patterns. A detector captures an image of a reflected light pattern which is reflected from the tissue as a result of the projected light pattern. A processor coupled to the detector can be configured to perform a transform on the image of the reflected light pattern and determine oxygenation of each of a plurality of layers of the tissue in response to the transform of the image. Polarimetry can be used in determining a change in polarization angle of light beam. Tissue oxygenation can be determined at a plurality of layers from one snapshot, for example oxygenation of retinal layers.

A mm-wave system includes transmission of a millimeter wave (mm-wave) signal by a plurality of transmitters to multiple objects, and receiving of return—mm-wave signals from the multiple objects by a plurality of receivers. A processor is configured to perform an algorithm to derive complex-valued samples and angle measurements from each receiver to identify one object from another object. The processor further extracts signal waveforms that correspond to each object and process the extracted signal waveforms to estimate breathing rate and heart rate of the identified object.

Existing apnea monitors fail to detect clinically important apnea events because they fail to distinguish cardiac artifacts from a chest impedance signal and therefore fail to detect cessation of breathing. A system and method are disclosed that provides improved apnea detection, particularly in a neonatal setting. The disclosed techniques filter out cardiac artifacts from the chest impedance signal, allowing determining a probability of an apnea event. Detection of an apnea event may then be used to trigger an alarm, initiate automatic physical stimulation of the patient, or both.

The disclosed embodiments relate to the design of a system that identifies a person. During operation, the system receives channel state information (CSI) for a set of orthogonal frequency division modulation (OFDM) subcarriers while the person moves in a region that includes two or more nodes that use the set of OFDM subcarriers to communicate with one another. Next, the system analyzes the CSI to obtain an analysis result. The system then determines the identity of the person based on the analysis result.

Biometric sensor systems are provided for identifying fundamental heart rate harmonics within noisy sensor signals. The system calculates a local signal-to-noise ratio for one or more identified frequency bands received in a biometric signal. The identified frequency bands are ranked based upon the calculated local signal-to-noise ratio. The fundamental heart rate is identified based upon the ranking of the identified frequency bands.