Disclosed herein are techniques related to glucose estimation without continuous glucose monitoring. In some embodiments, the techniques may involve receiving input data associated with a user. The input data may comprise discrete blood glucose measurement data associated with the user, activity data associated with the user, contextual data associated with the user, or a combination thereof. The techniques may also involve using an estimation model and the input data associated with the user to generate one or more estimated blood glucose values associated with the user.

Provided is an information processing device including: a storage device having a program stored therein; and a hardware processor, wherein the hardware processor executes the program stored in the storage device to: acquire first data for a dimension of position relating to an object represented in a generalized coordinate system; acquire at least second data for a dimension of acceleration from a plurality of inertial sensors attached to the object; and convert the second data into third data for a dimension of acceleration represented in the generalized coordinate system on the basis of the first data.

A control method of an apparatus according to an aspect of the present disclosure includes acquiring first vibration data that indicates a vibration of the apparatus produced by a speaker outputting a sound. Then the control method includes storing the acquired first vibration data in a memory. Further, the control method includes acquiring second vibration data that is generated by a vibration sensor detecting a vibration including a vibration based upon a body movement of a user on bedding on which the apparatus is placed. And the control method includes generating amended data by amending the acquired second vibration data using the first vibration data stored in the memory.

An apparatus for estimating blood pressure may include a sensor configured to measure a bio-signal from an object; and a processor configured to: obtain a cardiac output (CO) feature based on the bio-signal; obtain a total peripheral resistance (TPR) feature by combining an amplitude of a propagation wave component and amplitudes of at least two reflection wave components of the bio-signal, in response to a variation of the CO feature at a blood pressure measurement time relative to a calibration time, being within a predetermined range; obtain the TPR feature by combining the amplitude of the propagation wave component and an amplitude of one reflection wave component of the at least two reflection wave components, in response to the variation of the CO feature not being within the predetermined range; and estimate blood pressure based on the CO feature and the TPR feature.

A posture estimation device includes an acquisition part acquires information of angular velocities and accelerations from a plurality of sensors that detects angular velocities and accelerations and that are attached to a plurality of locations on an estimation object, a conversion part that converts information acquired by the acquisition part into information of a standard coordinate system from a sensor coordinate system, an integrating part that calculates an orientation of a reference area of the estimation object as a part of a posture of the estimation object by integrating the converted angular velocities, and a correction part, assuming a representative plane passing through a reference area included in the estimation object, corrects the converted angular velocities of the reference area so that a normal line of the representative plane and an orientation of the reference area calculated by the integrating part approaches to directions that are perpendicular to each other.

A system to measure intracardiac impedance includes implantable electrodes and a medical device. The electrodes sense electrical signals of a heart of a subject. The medical device includes a cardiac signal sensing circuit coupled to the implantable electrodes, an impedance measurement circuit coupled to the same or different implantable electrodes, and a controller circuit coupled to the cardiac signal sensing circuit and the impedance measurement circuit. The cardiac signal sensing circuit provides a sensed cardiac signal. The impedance measurement circuit senses intracardiac impedance between the electrodes to obtain an intracardiac impedance signal. The controller circuit determines cardiac cycles of the subject using the sensed cardiac signal, and detects tachyarrhythmia using cardiac-cycle to cardiac-cycle changes in a plurality of intracardiac impedance parameters obtained from the intracardiac impedance signal.

Disclosed is a technique of determining a driver's tension level (tension state degree) in vehicle driving in detail with a simple configuration. According to the technique, a nonlinear analyzing unit 110 of a driver's tension level determining apparatus 100 determining the tension level in driving of a driver acquires the driving operation amounts relating to driving operations of a driver (the operation amounts relating to operations of an accelerator pedal, a brake pedal, a handle, and the like), and then calculates the Lyapunov exponents about the driving operation amounts by performing nonlinear analysis processing. A frequency spectrum analyzing unit 120 calculates the power spectral density of time series data of the Lyapunov exponents, and then calculates an integrated value of a predetermined low frequency band in the calculated power spectral density. A driver's tension level determining unit 130 determines that the driver's tension level is any one of an excessive tension state, a moderate tension state, and an insufficient tension state using the integrated value of the predetermined low frequency band.

Certain examples provide systems and methods to enhance slow wave sleep. An example method includes identifying a sleep stage for slow wave sleep in a subject being monitored. The example method also includes generating, following identification of slow wave sleep and using a processor including a phase locked loop, an output signal based on a phase of a reference input signal, the output signal phase locked according to the reference input signal. The example method includes delivering, during slow wave sleep for the subject, a stimulus to the subject based on the phase locked output signal. The delivering includes providing the stimulus in a series of signal pulses for a first period of time; and providing a refractory period without pulses in a second period of time. The method further includes measuring feedback from the stimulus.

A biological recording device used to monitor biological electrical activity and a method of recording neural signals. In a preferred embodiment, the biological recording device is a neural probe. The biological recording device includes a probe body with a probe shank and a recording platform that uses a delta (Δ) modulator and a delta sigma analog to digital converter (ΔΣ ADC). The Δ modulator and the ΔΣ ADC form a Δ-ΔΣ analog front end (AFE) architecture for processing biological electrical activity. A large dynamic range (DR) of neural signals, including local field potentials (LFPs) and action potentials (APs) for example, can be compressed and subsequently reconstructed.

The methods and apparatuses presented herein determine and/or improve the quality of one or more physiological assessment parameters, e.g., response-recovery rate, based on biometric signal(s) and/or motion signal(s) respectively output by one or more biometric and/or motion sensors. The disclosed methods and apparatuses also estimate a user's stride length based on a motion signal and a determined type of user motion, e.g., walking or running. The speed of the user may then be estimated based on the estimated stride length.