The present disclosure provides a system and method for motion field generation and image correction. The method may include obtaining a plurality of first sets of magnetic resonance (MR) image data of an object generated based on a plurality of first sets of imaging sequences. The method may include obtaining a motion curve of the object. The method may include obtaining position emission tomography (PET) image data of the object generated in a scanning time period. The method may include generating one or more target motion fields corresponding to the scanning time period based on the plurality of first sets of MR image data and the motion curve. The method may include generating one or more corrected PET images by correcting, based on the one or more target motion fields, the PET image data.

Various examples describe a livestock monitoring system and method. A sensor signal may comprise a rotational component describing a rotation of the sensor within an animal and a linear component describing a linear movement of the sensor within the animal. The rotational component may be used to identify an animal respiration signal. The animal respiration signal and the linear component may be used to generate a respiration-corrected linear component. An animal heart signal may be detected from the respiration-corrected linear component.

Methods, systems and apparatuses for determining oxygen toxicity in users is disclosed. Electrodermal activity (EDA) data from a sensor may be received. The EDA data may be indicative of one or more physiological signals derived from sweat gland activity of the user. Time-varying index values may be determined based on the EDA data. The time-varying index values may be compared to a threshold to determine if one or more of the values satisfies the threshold. Satisfying the threshold may indicate oxygen toxicity is occurring within the user. A notification may be caused to occur based on the time-varying index value satisfying the threshold. The notification may cause the user to take actions to reduce the potential for further oxygen toxicity.

Computer implemented methods and systems are provided that comprise, under control of one or more processors of a medical device, where the one or more processors are configured with specific executable instructions. The methods and systems obtain motion data indicative of at least one of a posture or a respiration cycle; obtain cardiac activity (CA) signals for a series of beats; identify whether a characteristic of interest (COI) from at least a first segment of the CA signals exceeds a COI limit; analyze the motion data to determine whether at least one of the posture or respiration cycle at least in part caused the COI to exceed the COI limit. Based on the analyzing operation, the methods and systems automatically adjust a CA sensing parameter utilized by the medical device to detect R-waves in subsequent CA signals; and detect an arrhythmia based on a presence or absence of one or more of the R-waves in at least a second segment of the CA signals.

A respiration rate detection device including a photoplethysmography (PPG) detector, an acceleration detector and a processing unit is provided. The processing unit calculates an acceleration peak frequency in an acceleration frequency spectrum, and takes a PPG acceleration peak frequency in a PPG frequency spectrum corresponding to the acceleration peak frequency as a respiration rate.

An exercise information acquisition equipment of the present invention is an electronic equipment which builds therein a battery, is driven with electric power of the battery and acquires information relating to an exercise that a user performs and includes a battery remaining amount acquisition device which acquires a battery remaining amount of the battery, a time information acquisition device which acquires information relating to a time taken for the exercise which is information that how long the user plans to perform the exercise and an electric power control device which controls an operation pertaining to a power consumption reduction of the electronic equipment on the basis of the battery remaining amount and the information relating to the time taken for the exercise.

A signal processing apparatus includes a memory, and a processor coupled to the memory and configured to perform a process including obtaining measurement data including a signal of interest and an interference signal generated in proximity to a signal source of the signal of interest, estimating a signal source in an extraction target area including the signal source of the signal of interest and a signal source of the interference signal based on the measurement data, selecting the signal source of the interference signal based on a result of the estimating a signal source and extracting interference signal data generated from the selected signal source of the interference signal, and extracting the signal of interest by removing a common part between the measurement data and the interference signal data.

One variation of a method for hosting mobile access to dense electroencephalography data includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an electroencephalography headset during an electroencephalography test; receiving, from a client computing device, a view parameters for viewing the set of signals on a display; calculating a quantity of raw signal points per pixel column of the display based on the view parameters and a length of a segment of the electroencephalography test; for each signal in the set of signals, for each discrete contiguous sequence of the quantity of raw signal points within the segment of the signal, calculating a value set characterizing the discrete contiguous sequence of the quantity of raw signal points in the signal; and generating a static image representing value sets for each channel, in the set of channels, across the segment of the electroencephalography test.

A device including an array of electrodes generates one or more electrical signals from a user, extracts one or more noise signals, and generates one or more de-noised electrical signals upon processing the electrical signal(s) with the noise signal(s). The array of electrodes is coupled to a surface of the device, where the device also includes force sensors in mechanical communication with the surface for detecting user weight and other forces. The device can be configured to generate electrical signals from different subportions of the array of electrodes and to extract noise signals from different subportions of the array of electrodes, where the subportion(s) for electrical signal generation may or may not overlap with the subportion(s) of electrodes for noise signal extraction.

An apparatus for estimating blood glucose is provided. The apparatus for estimating blood glucose may include a spectrometer configured to measure a spectrum from an object, and a processor configured to monitor a change in a contact state between the object and the spectrometer, determine a calibration section based on the monitored change in the contact state, extract a background signal from a spectrum of the determined calibration section, and generate a personalized blood glucose estimation model based on the extracted background signal.