A wearable blood pressure meter includes a semi-conformable bladder, serving as a reservoir for an incompressible fluid, and a pressure sensor. The semi-conformable bladder includes a rigid housing defining a cavity within which the incompressible fluid is rigidly constrained and an elastic membrane for elastically constraining the incompressible fluid. The elastic membrane extends across an aperture into the cavity through the rigid housing. The elastic membrane conforms to a body part at the aperture when pressed against the body part. The pressure sensor mechanically couples to the incompressible fluid to measure pressure signals emanating from an artery within the body part and which propagate through the conformable membrane and the incompressible fluid to the pressure sensor.

Systems, devices, and methods for performing trans-abdominal fetal oximetry and/or trans-abdominal fetal pulse oximetry using physiological characteristics and/or a calibration factor may receive a physiological characteristic of a pregnant mammal and determine one or more potential impact(s) of the physiological characteristic on a behavior of an optical signal projected into the abdomen of the pregnant mammal Then a calibration factor for the optical signal responsively to the impact. The calibration factor may then be used to calibrate a fetal detected electronic signal so that a level of fetal hemoglobin oxygen saturation may be determined.

A training pad system for house training of a pet or toilet training of a juvenile human, includes a training pad with one or more diagnostic zones, each comprising one or more diagnostic test areas, optionally a pad cutout that matches a shape of a lower portion of a toilet, a urine indicator composition for visually indicating exposure to urine with a signal color, a liquid absorbing material, an antimicrobial agent, and adhesive surfaces; and a diagnostic decoding chart to interpret diagnostic results by lookup of corresponding test decoding areas.

Apparatus and methods for monitoring electrical activity within the brain of a person (“brainwaves”) employing electrodes or other sensors placed proximate to portions of the body below the head to develop raw signals without physically touching the body and penetrating hair and clothing. Additionally, apparatus and methods for monitoring electrical activity within the brain of a person (“brainwaves”) employing non-contacting sensors placed proximate to portions of the head to develop raw signals. The raw signals are filtered to produce analysis signals including frequency components relevant to brain electrical activity while attenuating unrelated frequency components. The apparatus and methods can be used for biofeedback-based attention training, human performance training, gaming, biometrics, cognitive state detection, and relaxation training. Either wired or wireless signal connections are made to electronic circuitry, typically including a digital computer, for performing signal processing and analysis functions.

Systems and methods of dynamic IoT device regulation and control can aid in shifting a user's emotional state from a first state of mind to a preferred second state of mind, using the user's biomarker response to device settings. Particularly, an IoT device controller may be embedded within a wearable device that is wirelessly connected to a computing device and one or more IoT devices. Initially, each wearable device can be calibrated, wherein a matrix of sensed user biomarker responses can be generated. In some embodiments, the system continuously monitors user biomarkers to detect which physiological state exists. When the user enters into the first physiological/psychological state, the system can adjust each IoT device to align with the second state. When the system detects that the user biomarker response has not shifted, the system can continuously adjust IoT settings based upon a learning algorithm having monitored user biomarkers as input.

The present invention relates to an apparatus and method for determining blood pressure of a subject. To automatically trigger calibration the apparatus comprises a sensor signal input configured to obtain an arterial pulse wave sensor signal of the subject, a feature extraction unit configured to extract multiple features from the obtained arterial pulse wave sensor signal, an estimation unit configured to determine multiple blood pressure estimation values for individual extracted features and/or groups of extracted features and to determine the subject's blood pressure from said multiple blood pressure estimation values, a calibration unit configured to calibrate the estimation unit based on blood pressure reference measurements, and a calibration trigger unit configured to trigger calibration by the calibration unit if the multiple blood pressure estimation values diverge more than a divergence limit.

A bed comprises substrate support members, each including a load bearing and a base configured to provide contact with a floor. The load bearing member is configured to move vertically relative to the base, while the base and the load bearing member are configured to fit together to maintain lateral alignment of the base and the load bearing member. A load sensor is positioned between the base and the load bearing member, the load bearing member configured to transmit a load from the substrate to the load sensor. A printed circuit board is in communication with the load sensor. A controller is in communication with the printed circuit board of each substrate support member and is configured to receive and process data output by the printed circuit boards.

The subject of the invention is a method for calibrating a direct neural interface. The calibration is performed by considering a so-called input calibration tensor, formed on the basis of measured electrophysiological signals and so-called output calibration tensor, formed on the basis of measured output signals. The method comprises the application of a least squares multivariate regression implemented by considering a covariance tensor and a cross-covariance tensor which are established on the basis of input and output calibration tensors corresponding to a current calibration period. The method takes into account covariance and cross-covariance tensors established during an earlier calibration period prior to the current calibration period, these tensors being weighted by a forget factor.

The present invention provides a circuit applied to a bio-information acquisition system, wherein the circuit includes a terminal, an output circuit, a feedback circuit and a calibration circuit. In the operations of the circuit, the terminal is arranged to receive an input signal, the output circuit is configured to generate an output signal according to the input signal, the feedback circuit is configured to receive the output signal to generate a current signal to the terminal, and the calibration circuit is configured to generate a control signal to control the feedback circuit to determine a level of the current signal according to the output signal.

A system for measuring an angle of a joint of a user includes a center hub, a first arm, a second arm, a magnet, and a sensor. The center hub includes a first hub and a second hub. The first arm is configured for attachment to a first limb portion of the user at a first outer end and to the first hub at a first inner end. The second arm is configured for attachment to a second limb portion of the user at a second outer end and to the second hub at a second inner end, wherein the first hub is pivotally coupled to the second hub. The magnet is coupled to the second hub. The sensor is disposed in the center hub and configured to detect a rotation of the magnet.