This relates to an electronic device with dynamically reconfigurable apertures to account for different skin types, usage conditions, and environmental conditions and methods for measuring the user's physiological signals. The device can include one or more light emitters, one or more light sensors, and a material whose optical properties can be changed in one or more locations to adjust the optical path and the effective separation distances between the one or more light emitters and one or more light sensors or the size, location, or shape of the one or more dynamically reconfigurable apertures. In some examples, the material can be a liquid crystal material, MEMS shutter layer, or light guide, which can form the one or more dynamically reconfigurable apertures. In some examples, the light emitters or light sensors or both can be an array of individually addressable optical components.

Embodiments of the present invention (herein referred to simply as “the invention”) comprise an EEG monitoring device worn on or around a user's ears. In some embodiments of the invention, the device comprises a flexible printed circuit containing EEG sensors, skin adhesives or adhesive sensors, and a flexible extension to position the sensor adjusting the user's head size. The device may be designed so that when worn by a user, the sensors are placed at specific points on a user's head in order to accurately capture electroencephalography signals. Said specific points may be one or more points of a 10-10 EEG system. The EEG sensors may comprise or may be made of an adhesive material.

The present technology relates to a medical image processing apparatus, a medical image processing method, and a program that permit superimposition of images at an appropriate mixing ratio without deletion of detailed information. An acquisition section, a superimposition ratio calculation section, and a superimposition processing section are included. The acquisition section acquires a normal frame captured with normal light irradiated on a subject and a special frame captured with special light irradiated on the subject. The superimposition ratio calculation section calculates, on the basis of an intensity value of the special frame, a superimposition ratio indicating a ratio at which the normal frame and the special frame are superimposed. The superimposition processing section performs a superimposition process of superimposing the normal frame and the special frame on the basis of the superimposition ratio. The present technology is applicable to an image processing apparatus for medical use.

The disclosed system improves the physiological estimates (e.g., heart rate, pulse oxygenation, etc.) extracted from photoplethysmography (PPG) signals captured by wearable health monitors (smart watches, fitness trackers, etc.) by employing three sign-data least mean squares (SDLMS) filters in a cascaded parallel combination (CPC) that each successively remove motion artifacts in the x-, y-, and z- dimensions. In some embodiments, a window function eliminates spectral content that is unlikely in view of recent frequency estimates and/or smoothing function smooths the physiological estimates using historical physiological data. The disclosed motion artifact removal system can achieve a level of accuracy using signals from a reflective-type PPG sensor that is typically only achieved via a transmissive-type (e.g., finger-worn) PPG sensor at rest. Specifically, in initial testing, the system was able to estimate the heart rates with less than 2 beats per minute (BPM) of root-mean-squared (RMS) error during periods of both rest and exercise.

Systems, methods and devices for reducing noise in health monitoring including monitoring systems, methods and/or devices receiving a health signal and/or having at least one electrode or sensor for health monitoring.

One aspect of the present disclosure relates to a system that can prevent unintended signal components (noise) in an electric waveform that can be used for at least one of neural stimulation, block, and/or sensing. The system can include a signal generator to generate a waveform that includes an intended electric waveform and unintended noise. The system can also include a signal transformer device (e.g., a very long wire) comprising a first coil and a second coil. The first coil can be coupled to the signal generator to receive the waveform and remove the unintended noise from the electric waveform. The second coil can pass the electric waveform to an electrode. The second coil can be coupled to a capacitor that can prevent the waveform from developing noise at an electrode/electrolyte interface between an electrode and a nerve.

A monitoring apparatus includes a housing that is configured to be attached to a body of a subject. The housing includes a sensor region that is configured to contact a selected area of the body of the subject when the housing is attached to the body of the subject. The sensor region is contoured to matingly engage the selected body area. The apparatus includes at least one physiological sensor that is associated with the sensor region and that detects and/or measures physiological information from the subject and/or at least one environmental sensor associated with the sensor region that is configured to detect and/or measure environmental information. The sensor region contour stabilizes the physiological and/or environmental sensor(s) relative to the selected body area such that subject motion does not impact detection and/or measurement efforts of the sensor(s).

Various methods and systems for blood pressure monitoring are provided. A device for monitoring blood pressure may include a memory storing instructions for receiving one or more signals representative of one or more patient parameters, wherein at least one of the one or more signals comprises a plethysmography signal. The memory also stores instructions for determining a change in a pulse shape metric of the plethysmography signal and determining a change in a blood pressure signal over a period of time based on the one or more signals. The memory also stores instructions for determining a confidence level of the blood pressure signal based at least in part on a correlation between the change in the blood pressure signal and the change in the pulse shape metric over the period of time. The device also includes a processor configured to execute the instructions.

A biological information measurement device includes a correction unit that receives a first signal expressing a change in an amount of light of a first wavelength detected from a living body and a second signal expressing a change in an amount of light of a second wavelength detected from the living body, and corrects at least one of the first signal and the second signal to reduce a difference between an amount of change in the first signal and an amount of change in the second signal associated with a change in an amount of arterial blood of the living body, and a computing unit that computes a change in a blood oxygen concentration in the living body on a basis of the first signal and the second signal of which at least one is corrected by the correction unit.

There is provided a physiological detection device including a white light source, a molding and a pixel array. The white light source is configured to emit white light having a color temperature between 2800K and 3200K. The molding is formed upon the white light source and configured to constrain an emission angle of the white light between 60 and 80 degrees. The pixel array is covered by a filter layer having a passband between 570 nm and 620 nm configured to filter the white light.