An apparatus for estimating bio-information may include an optical sensor comprising a light emitter disposed on a substrate, and a plurality of light receiving groups which are arranged on a plurality of concentric circles on the substrate, at different distances from the light emitter, respectively, and a processor configured to drive one of the plurality of light receiving groups that is selected based on a type of the bio-information to be estimated, and estimate the bio-information of an object based on optical signals detected by the driven light receiving group.

A device to make multiple, simultaneous measurements of electrical activity on neural, muscular and other animal cells. The invention discloses multiple electrodes at fixed position on a supporting structure and multiple wires to connect the electrodes to one or more measuring devices. The electrodes are preferentially closed spaced, to allow for small spatial discrimination between measurement points. The electrodes and the wires are selected by binary addresses. The device is also capable of injecting electrical stimulation using electrodes not in use for measurements. An injected electrical stimulation at a first location may be created to measure the effect of a well-known event at another location or locations, near or far away.

A handheld, conforming capacitive sensing apparatus configured to measure Sub-Epidermal Moisture (SEM) as a mean to detect and monitor the formation of pressure ulcers. The device incorporates an array of electrodes which are excited to measure and scan SEM in a programmable and multiplexed manner by a battery-less RF-powered chip. The scanning operation is initiated by an interrogator which excites a coil embedded in the apparatus and provides the needed energy burst to support the scanning/reading operation. Each electrode measures the equivalent sub-epidermal capacitance corresponding and representing the moisture content.

Various embodiments relate generally to electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an interface between an organism and other computing machine-based entities, and, more specifically, to sensors that facilitate determination of a state of neural activity with which to associate data representing, for example, an intent and/or a command; to implementations of sensors under control to, for example, modify sensing characteristics to interpolate response signals spatially or temporally, or both, to facilitate determination of a state of neural activity; to the formation or implementation of a data model that includes, for example, data arrangements representative of at least neuronal activity to facilitate determination of a state of neural activity; and to mobile human-machine interface to facilitate control based on neuronal activity of an organism.

Disclosed herein are embodiments of a continuous analyte sensor that can be used to measure glucose or lactate levels in a patient, along with other analytes. In some embodiments, the sensor can be located in the tissue or a blood vessel of a patient, and a probe can be located on the skin of the patient generally adjacent to the sensor. The probe can detect luminescent signals that originate from the sensor and that are dependent on analyte levels.

An intelligent insole is provided. The intelligent insole includes an insole body, a pressure sensor, a temperature sensor, a humidity sensor and a signal collector. The pressure sensor, the temperature sensor and the humidity sensor are formed on the surface of the insole body, and the above sensors and the insole body are manufactured via the same 3D printing process. The pressure sensor senses the pressure signal from the insole body in contact with the foot. The temperature sensor and the humidity sensor respectively sense the temperature signal and the humidity signal of the insole body. The signal collector is respectively electrically connected to the pressure sensor, the temperature sensor and the humidity sensor to receive the pressure signal, the temperature signal and the humidity signal and then transmit the signals to a signal receiver via wireless transmission.

The present disclosure relates to footwear for monitoring health condition of foot of a user. The footwear comprises one or more image capturing devices and a control unit. The image capturing devices are placed at predefined locations in the footwear to capture one or more images of the foot, when the user is wearing the footwear. The control unit is configured to receive the captured images from the image capturing devices. The captured images are compared with one or more pre-stored images of a healthy foot to identify differences between the captured images and the pre-stored images. The control unit detects health condition of the foot of the user based on the differences. Further, the control unit provides a notification about the health condition of the foot to a computing device associated with the user or one or more care providers of the user.

Disclosed are a method and system for brain activity detection. The method is: performing multi-channel synchronous collections of brain electrical signals and cerebral cortex blood oxygen signals simultaneously, and ensuring synchronicity of the collected signals among channels, and collecting said brain electrical signals and said cerebral cortex blood oxygen signals of all locations at the same time. The system comprises: a functional near-infrared light source emission module (2) which employs the frequency division multiplexing technique, wherein the light source is modulated by carrier of different frequencies, said signal is accessed from the multi-functional joint collection helmet (1) through a transmission optical fiber to irradiate the scalp, and after being scattered and absorbed by the brain, the attenuated light signal is processed by the functional near-infrared detection module (3); the functional near-infrared detection module (3) is used for detecting weak optical signals of the scalp; the brain electricity detection module (4) is used for detecting weak electrical signals of the scalp; the central control unit (5) is used for synchronizing and fusing data flows, sending control commands to each functional module, and uploading data to the host computer (6). The method and system can control the interference to be the minimum and have good time scale consistency.

Cardiac electrical activity is monitored from tissue of the patient using the plurality of external electrodes. One or more cardiac metrics of the patient are generated based on the monitored electrical activity. It is determined whether the patient is a candidate for a cardiac resynchronization therapy (CRT) device based on a first global dyssynchrony metric using the one or more cardiac metrics if the patient has a right bundle branch block. It is determined whether the patient is a candidate for a cardiac resynchronization therapy (CRT) device based on a second global dyssynchrony metric using the one or more cardiac metrics if the patient does not have a right bundle branch block.

Systems and methods are described herein for determining whether or not each of a plurality of cardiac signals monitored from a plurality of electrodes is stable. A dispersion signal may be generated based on the plurality of cardiac signals, and low dispersion time period may be selected within which the cardiac signals may be analyzed for stability.