Disclosed herein are systems, non-transitory computer readable media, and methods to employ electrical impedance-based devices in clinical setting to perform hemodynamic assessments. A system may include a plurality of electrodes; and a controller coupled to the plurality of electrodes. The controller may receive a sequence of impedance datasets. The controller may generate a corresponding impedance image. The controller may determine a pre-maneuver hemodynamic measurement from a first region of interest (ROI) from at least one impedance image prior to a maneuver. The controller may determine a post-maneuver hemodynamic measurement from the first ROI from at least one impedance image following the maneuver. The controller may receive at least one parameter associated with the maneuver. The controller may determine a hemodynamic figure of merit based at least on the pre-maneuver hemodynamic measurement, the post-maneuver hemodynamic measurement, and the at least one parameter associated with the maneuver.

A technology for a wearable medical device for monitoring medical parameters. Medical measurement data can be received at the wearable medical device from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device. A calibration coefficient can be determined for calibrating the wearable medical device based on the medical measurement data. The wearable medical device can be calibrated based on the calibration coefficient.

In the present invention, a system and associated method is provided for monitoring vital parameters of a patient. The monitoring system includes sensors disposed on the patient and operably connected to a monitor. The parameters that are sensed by the sensors are transmitted to the monitor and compared with alarm thresholds and operational criteria stored within the monitor. When an alarm condition is sensed by the system, the system can actively solicit patient assistance in the confirmation of the alarm condition based on a set of reactive inputs stored within the system to enable medical personnel to appropriately respond to clinically relevant sensed alarm condition(s).

A breast milk flow monitoring system in the form of a milk flow monitoring sensor is described and includes an array of electrodes and a controller. The electrodes include electrically conductive surfaces that are arranged to contact a skin surface of a breast. The controller generates a first excitation signal that is communicated via the first electrode to a first location on the breast, and generates a second excitation signal that is communicated via the first electrode to the first location on the breast. The controller receives a first current response signal and a second current response signal. A bio-impedance spectroscopic analysis of the first current response signal and the second current response signal is executed, wherein the bio-impedance spectroscopic analysis is calibrated for breast milk flow. A breast milk flow parameter is determined based upon the bio-impedance spectroscopic analysis.

A breast milk flow monitoring system in the form of a milk flow monitoring sensor is described and includes an array of electrodes and a controller. The electrodes include electrically conductive surfaces that are arranged to contact a skin surface of a breast. The controller generates a first excitation signal that is communicated via the first electrode to a first location on the breast, and generates a second excitation signal that is communicated via the first electrode to the first location on the breast. The controller receives a first current response signal and a second current response signal. A bio-impedance spectroscopic analysis of the first current response signal and the second current response signal is executed, wherein the bio-impedance spectroscopic analysis is calibrated for breast milk flow. A breast milk flow parameter is determined based upon the bio-impedance spectroscopic analysis.

An exemplary embodiment of the present disclosure provides systems and methods for non-invasively measuring blood pressure, the system and methods comprise a wearable device having a first surface, a first sensor positioned on the first surface of the wearable device, the first sensor configured to receive a first signal, wherein the first signal is indicative of a first blood-volume change in a first vessel of a subject, a second sensor positioned within the wearable device, the second sensor configured to receive a second signal, wherein the second signal is indicative of a cardiac mechanical motion of the subject, and a processor positioned within the wearable device, the processor configured to generate an output based at least on the first signal and the second signal, the output representing a blood pressure measurement of the subject.

Certain aspects of the disclosure are directed to an apparatus including a scale and external circuitry. The scale includes a platform, and data-procurement circuitry for collecting signals indicative of the user's identity and cardio-physiological measurements. The scale includes processing circuitry to process data obtained by the data-procurement circuitry, therefrom generate cardio-related physiologic data, and to send user data to the external circuitry. The external circuitry identifies a risk that the user has a condition based on the reference information and the user data provided by the scale and outputs generic information correlating to the condition to the scale that is tailored based on the identified risk.

A measurement unit for measuring a bio-impedance of a body, the measurement unit comprising a current generator circuit, a readout circuit, and a baseline cancellation current circuit, wherein the current generator circuit is configured to amplify a reference current to form a measurement current to be driven through a body to generate a measurement voltage representing the bio-impedance; wherein the readout circuit comprises a Instrumentation amplifier (IA) which has a transconductance stage and a transimpedance stage, wherein the IA is configured to: produce a first current in the transconductance stage, the first current being proportional to the measurement voltage, receive a second current from the baseline cancellation current circuit, produce an output voltage in the transimpedance stage, the output voltage being proportional to a difference between the first current and the second current and representative of the measured bio-impedance; wherein the baseline cancellation current circuit is configured to amplify the reference current by a factor to form the second current and deliver it to the IA, wherein the factor is such that that the absolute value of the difference between the first and the second current is below a threshold such that a baseline of the first current is cancelled by the second current.

Systems, devices, and methods described herein relate to multi-sensory presentation devices, including virtual reality (VR) devices, visual display devices, sound devices, haptic devices, and other forms of presentation devices, that are configured to present sensory elements, including visual and/or audio scenes, to a user. In some embodiments, one or more sensors including electroencephalography (EEG) sensors and a photoplethysmography (PPG) sensors, e.g., included in a brain-computer interface, can measure physiological data of a user to monitor a state of the user during the presentation of the visual and/or audio scenes. Such systems, devices, and methods can adapt one or more visual and/or audio scenes based on user physiological data, e.g., to control or manage the state of the user.

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.