Abstract: As one example, an apparatus includes a dielectric microsensor having a microfluidic chamber that includes a capacitive sensing structure. The microfluidic chamber is adapted to receive a volume of a blood sample, and a bioactive agent is adapted to interact with the blood sample, as a sample under test (SUT), within the microfluidic chamber. A transmitter can provide an input radio frequency (RF) signal to the dielectric microsensor, and a receiver can receive an output RF signal from the dielectric microsensor. A computing device is configured to compute dielectric permittivity values for the SUT based on the output RF signal over a time interval in which the dielectric permittivity values are representative of the bioactive agent interacting with the blood sample over the time interval. The computing device is further configured to provide a readout representative of hemostatic dysfunction for the blood sample based on the dielectric permittivity values.

Abstract: As one example, an apparatus includes a dielectric microsensor having a microfluidic chamber that includes a capacitive sensing structure. The microfluidic chamber is adapted to receive a volume of a blood sample, and a bioactive agent is adapted to interact with the blood sample, as a sample under test (SUT), within the microfluidic chamber. A transmitter can provide an input radio frequency (RF) signal to the dielectric microsensor, and a receiver can receive an output RF signal from the dielectric microsensor. A computing device is configured to compute dielectric permittivity values for the SUT based on the output RF signal over a time interval in which the dielectric permittivity values are representative of the bioactive agent interacting with the blood sample over the time interval. The computing device is further configured to provide a readout representative of hemostatic dysfunction for the blood sample based on the dielectric permittivity values.

Abstract: As one example, an apparatus includes a dielectric microsensor having a microfluidic chamber that includes a capacitive sensing structure. The microfluidic chamber is adapted to receive a volume of a blood sample, and a bioactive agent is adapted to interact with the blood sample, as a sample under test (SUT), within the microfluidic chamber. A transmitter can provide an input radio frequency (RF) signal to the dielectric microsensor, and a receiver can receive an output RF signal from the dielectric microsensor. A computing device is configured to compute dielectric permittivity values for the SUT based on the output RF signal over a time interval in which the dielectric permittivity values are representative of the bioactive agent interacting with the blood sample over the time interval. The computing device is further configured to provide a readout representative of hemostatic dysfunction for the blood sample based on the dielectric permittivity values.

Abstract: As one example, an apparatus includes a dielectric microsensor comprising a microfluidic chamber that includes a capacitive sensing structure, the microfluidic chamber including a fluid input port to receive a volume of a blood sample. A bioactive agent is disposed within the chamber to interact with the volume of the blood sample received in the microfluidic chamber. A transmitter provides an input radio frequency (RF) signal to an RF input of the dielectric microsensor. A receiver receives an output RF signal from an RF output of the dielectric microsensor. A computing device that computes dielectric permittivity values of the sample that vary over a time interval based on the output RF signal, the computing device to provide an assessment of hemostatic dysfunction and associated coagulopathy based on the dielectric permittivity values.

Abstract: As one example, a fluid monitoring apparatus includes a dielectric microsensor that includes a capacitive sensing structure integrated into a microfluidic channel. The microfluidic channel includes a fluid input to receive a sample volume of a sample under test (SUT). A transmitter provides an input radio frequency (RF) signal to an RF input of the microsensor. A receiver receives an output RF signal from the microsensor. A computing device computes dielectric permittivity values of the SUT that vary over a time interval based on the output RF signal. The computing device may determine an indication of platelet count based on the computed dielectric permittivity values over at least a portion of the time interval.

Abstract: As one example, a fluid monitoring apparatus includes a dielectric microsensor that includes a capacitive sensing structure integrated into a microfluidic channel. The microfluidic channel includes a fluid input to receive a sample volume of a sample under test (SUT). A transmitter provides an input radio frequency (RF) signal to an RF input of the microsensor. A receiver receives an output RF signal from the microsensor. A computing device computes dielectric permittivity values of the SUT that vary over a time interval based on the output RF signal. The computing device may determine at least one permittivity parameter based on the computed dielectric permittivity values over at least a portion of the time interval.

Abstract: As one example, a fluid monitoring apparatus includes a dielectric microsensor that includes a capacitive sensing structure integrated into a microfluidic channel. The microfluidic channel includes a fluid input to receive a sample volume of a sample under test (SUT). A transmitter provides an input radio frequency (RF) signal to an RF input of the microsensor. A receiver receives an output RF signal from the microsensor. A computing device computes dielectric permittivity values of the SUT that vary over a time interval based on the output RF signal. The computing device may determine at least one permittivity parameter based on the computed dielectric permittivity values over at least a portion of the time interval.

Abstract: As one example, an apparatus includes a dielectric microsensor comprising a microfluidic chamber that includes a capacitive sensing structure, the microfluidic chamber including a fluid input port to receive a volume of a blood sample. A bioactive agent is disposed within the chamber to interact with the volume of the blood sample received in the microfluidic chamber. A transmitter provides an input radio frequency (RF) signal to an RF input of the dielectric microsensor. A receiver receives an output RF signal from an RF output of the dielectric microsensor. A computing device that computes dielectric permittivity values of the sample that vary over a time interval based on the output RF signal, the computing device to provide an assessment of hemostatic dysfunction and associated coagulopathy based on the dielectric permittivity values.

Abstract: A sensor system can be configured to perform dielectric spectroscopy (DS). For example, the system can include a sensor configured to measure dielectric permittivity of a fluid in response to an RF input signal. Associated interface electronics can include a transmitter to drive the sensor with the RF input signal and a receiver to receive and process an RF output signal from the sensor in response to the RF input signal.

Abstract: As one example, a fluid monitoring apparatus includes a dielectric microsensor that includes a capacitive sensing structure integrated into a microfluidic channel. The microfluidic channel includes a fluid input to receive a sample volume of a sample under test (SUT). A transmitter provides an input radio frequency (RF) signal to an RF input of the microsensor. A receiver receives an output RF signal from the microsensor. A computing device computes dielectric permittivity values of the SUT that vary over a time interval based on the output RF signal. The computing device may determine at least one permittivity parameter based on the computed dielectric permittivity values over at least a portion of the time interval.

Abstract: As one example, a fluid monitoring apparatus includes a dielectric microsensor that includes a capacitive sensing structure integrated into a microfluidic channel. The microfluidic channel includes a fluid input to receive a sample volume of a sample under test (SUT). A transmitter provides an input radio frequency (RF) signal to an RF input of the microsensor. A receiver receives an output RF signal from the microsensor. A computing device computes dielectric permittivity values of the SUT that vary over a time interval based on the output RF signal. The computing device may determine an indication of platelet count based on the computed dielectric permittivity values over at least a portion of the time interval.

Abstract: A sensor system can be configured to perform dielectric spectroscopy (DS). For example, the system can include a sensor configured to measure dielectric permittivity of a fluid in response to an RF input signal. Associated interface electronics can include a transmitter to drive the sensor with the RF input signal and a receiver to receive and process an RF output signal from the sensor in response to the RF input signal.

Abstract: A sensor system can be configured to perform dielectric spectroscopy (DS). For example, the system can include a sensor configured to measure dielectric permittivity of a fluid in response to an RF input signal. Associated interface electronics can include a transmitter to drive the sensor with the RF input signal and a receiver to receive and process an RF output signal from the sensor in response to the RF input signal.

Abstract: Methods for bridging brain sites between which there is substantially no effective communication, and associated neural prosthetic devices, are provided. A neural spike in a first neural site in a subject is detected, and a stimulus to a second neural site in the subject is delivered within a defined period of time after the detection of the neural spike, wherein there is substantially no effective communication between the first and second neural sites. The method forms an artificial bridge between the two neural sites, and establishes lasting communication between the two sites. The present disclosure provides, among other things, a neural prosthetic device comprising an integrated circuit that comprises a recording front-end comprising a plurality of recording channels; a processor unit; and a stimulus delivering back-end comprising a plurality of stimulation channels.

Abstract: Methods for bridging brain sites between which there is substantially no effective communication, and associated neural prosthetic devices, are provided. A neural spike in a first neural site in a subject is detected, and a stimulus to a second neural site in the subject is delivered within a defined period of time after the detection of the neural spike, wherein there is substantially no effective communication between the first and second neural sites. The method forms an artificial bridge between the two neural sites, and establishes lasting communication between the two sites. The present disclosure provides, among other things, a neural prosthetic device comprising an integrated circuit that comprises a recording front-end comprising a plurality of recording channels; a processor unit; and a stimulus delivering back-end comprising a plurality of stimulation channels.

Abstract: A sensor system can be configured to perform dielectric spectroscopy (DS). For example, the system can include a sensor configured to measure dielectric permittivity of a fluid in response to an RF input signal. Associated interface electronics can include a transmitter to drive the sensor with the RF input signal and a receiver to receive and process an RF output signal from the sensor in response to the RF input signal.

Abstract: Methods for bridging brain sites between which there is substantially no effective communication, and associated neural prosthetic devices, are provided. A neural spike in a first neural site in a subject is detected, and a stimulus to a second neural site in the subject is delivered within a defined period of time after the detection of the neural spike, wherein there is substantially no effective communication between the first and second neural sites. The method forms an artificial bridge between the two neural sites, and establishes lasting communication between the two sites. The present disclosure provides, among other things, a neural prosthetic device comprising an integrated circuit that comprises a recording front-end comprising a plurality of recording channels; a processor unit; and a stimulus delivering back-end comprising a plurality of stimulation channels.

Abstract: Methods for bridging brain sites between which there is substantially no effective communication, and associated neural prosthetic devices, are provided. A neural spike in a first neural site in a subject is detected, and a stimulus to a second neural site in the subject is delivered within a defined period of time after the detection of the neural spike, wherein there is substantially no effective communication between the first and second neural sites. The method forms an artificial bridge between the two neural sites, and establishes lasting communication between the two sites. The present disclosure provides, among other things, a neural prosthetic device comprising an integrated circuit that comprises a recording front-end comprising a plurality of recording channels; a processor unit; and a stimulus delivering back-end comprising a plurality of stimulation channels.

Abstract: Various embodiments are directed to systems and methods for optimizing energy use with one or more optimization engine objects. An optimization engine object may have a plurality of dependent objects including at least a dependent optimization engine object, or at least one of a supply-side or demand-side object. The optimization engine object may receive dependent object attribute data from each of the at least one dependent objects; determine an optimal configuration for the plurality of dependent objects over the first time period subject to at least one optimization constraint; and conditioned upon the optimization engine depending from a superior optimization engine, transmit a net energy usage associated with the optimal configuration to the superior optimization engine.

Abstract: Methods for bridging brain sites between which there is substantially no effective communication, and associated neural prosthetic devices, are provided. A neural spike in a first neural site in a subject is detected, and a stimulus to a second neural site in the subject is delivered within a defined period of time after the detection of the neural spike, wherein there is substantially no effective communication between the first and second neural sites. The method forms an artificial bridge between the two neural sites, and establishes lasting communication between the two sites. The present disclosure provides, among other things, a neural prosthetic device comprising an integrated circuit that comprises a recording front-end comprising a plurality of recording channels; a processor unit; and a stimulus delivering back-end comprising a plurality of stimulation channels.