Abstract: The present disclosure provides a biometric ring comprising an inner surface configured to adjoin a living being and a plurality of conductors circumferentially arranged about the inner surface. The conductors are configured to emit current and measure voltage across conductor path pairs. The biometric ring determines corresponding conductor path resistances through the body and generates resistance maps from these measurements. A biometric reading is derived from the resistance maps, enabling non-invasive monitoring of physiological parameters.

Abstract: Disclosed are a system and method for predicting blood pressure from electrical impedance measurements at the skin. The system includes a wearable device that is configured to be worn against the skin (or attached directly to the skin) above a target vessel, such as a target artery. The wearable device includes an array of electrodes that enable measurement of electrical impedance at the skin. The system receives a series of electrical impedance measurements from the wearable device, and based on the series of electrical impedance measurements, calculates a blood pressure prediction using a predictive model that is informed by the incompressible Navier-Stokes equations for a tube with elastic boundary conditions and by the Maxwell-Fricke equations relating red blood cell orientation and distribution to blood conductivity.

Abstract: An impedance measurement system for performing a bioimpedance measurement on a biological subject, the system including a signal generator configured to apply alternating signals to at least part of the biological subject at a plurality of different frequencies, a sensor configured to measure response signals from the biological subject and one or more electronic processing devices that determine impedance values obtained at the plurality of different frequencies using the measured response signals, calculate an impedance curve using a curve fitting algorithm, determine a deviation of the impedance curve from the impedance measurements and use the deviation to perform an evaluation of the impedance measurements.

Abstract: Electrical impedance myography (EIM) can be used for assessment and diagnosis of muscular disorders. EIM includes applying an electrical signal to a region of tissue and measuring a resulting signal. A characteristic of the region of tissue is determined based on the measurement. Performing EIM at different frequencies and modeling one or more impedance metrics as a function of frequency may provide impedance model parameters that can aid in the assessment and diagnosis. Devices are described that facilitate assessment and diagnosis using EIM.

Abstract: Electrical impedance myography (EIM) can be used for assessment and diagnosis of muscular disorders. EIM includes applying an electrical signal to a region of tissue and measuring a resulting signal. A characteristic of the region of tissue is determined based on the measurement. Performing EIM at different frequencies and modeling one or more impedance metrics as a function of frequency may provide impedance model parameters that can aid in the assessment and diagnosis. Devices are described that facilitate assessment and diagnosis using EIM.

Abstract: Electrical impedance myography (EIM) can be used for assessment and diagnosis of muscular disorders. EIM includes applying an electrical signal to a region of tissue and measuring a resulting signal. A characteristic of the region of tissue is determined based on the measurement. Performing EIM at different frequencies and modeling one or more impedance metrics as a function of frequency may provide impedance model parameters that can aid in the assessment and diagnosis. Devices are described that facilitate assessment and diagnosis using EIM.