RLC Circuit

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Ji-suo Wang - One of the best experts on this subject based on the ideXlab platform.

Andrew Mcdaid - One of the best experts on this subject based on the ideXlab platform.

  • Increasing signal amplitude in electrical impedance tomography of neural activity using a parallel resistor inductor capacitor (RLC) Circuit
    Journal of neural engineering, 2019
    Co-Authors: J. Hope, Zaid Aqrawe, Marshall Lim, Frédérique Vanholsbeeck, Andrew Mcdaid
    Abstract:

    Objective: To increase the impedance signal amplitude produced during neural activity using a novel approach of implementing a parallel resistor inductor capacitor (RLC) Circuit across the current source used in electrical impedance tomography (EIT) of peripheral nerve. Approach: Experiments were performed in vitro on sciatic nerve of Sprague-Dawley rats. Design of the RLC Circuit was performed in electrical Circuit modelling software, aided by in vitro impedance measurements on nerve and nerve cuff in the range 5 Hz to 50 kHz. Main results: The frequency range 17 +/- 1 kHz was selected for the RLC experiment. The RLC experiment was performed on four subjects using an RLC Circuit designed to produce a resonant frequency of 17 kHz with a bandwidth of 3.6 kHz, and containing a 22 mH inductive element and a 3.45 nF capacitive element. With the RLC Circuit connected, relative increases in the impedance signal (+/- 3sig noise) of 44 % (+/-15 %), 33 % (+/-30 %), 37 % (+/-8.6 %), and 16 % (+/-19 %) were produced. Significance: The increase in impedance signal amplitude at high frequencies, generated by the novel implementation of a parallel RLC Circuit across the drive current, improves spatial resolution by increasing the number of parallel drive currents which can be implemented in a frequency division multiplexed (FDM) EIT system, and aids the long term goal of a real-time FDM EIT system by reducing the need for ensemble averaging.

  • increasing signal amplitude in electrical impedance tomography of neural activity using a parallel resistor inductor capacitor RLC Circuit
    Journal of Neural Engineering, 2019
    Co-Authors: J. Hope, Zaid Aqrawe, Marshall Lim, Frédérique Vanholsbeeck, Andrew Mcdaid
    Abstract:

    OBJECTIVE To increase the impedance signal amplitude produced during neural activity using a novel approach of implementing a parallel resistor inductor capacitor (RLC) Circuit across the current source used in electrical impedance tomography (EIT) of peripheral nerve. APPROACH The frequency response of the impedance signal was characterized in the range 4-18 kHz, then a frequency range with significant capacitive charge transfer was selected for experiment with the RLC Circuit. Design of the RLC Circuit was aided by in vitro impedance measurements on nerve and nerve cuff in the range 5 Hz to 50 kHz. MAIN RESULTS The frequency response of the impedance signal across 4-18 kHz showed maximum amplitude at 6-8 kHz, and steady decline in amplitude between 8 and 18 kHz with  -6 dB reduction at 14 kHz. The frequency range 17  ±  1 kHz was selected for the RLC experiment. The RLC experiment was performed on four subjects using an RLC Circuit designed to produce a resonant frequency of 17 kHz with a bandwidth of 3.6 kHz, and containing a 22 mH inductive element and a 3.45 nF capacitive element with  +0.8/-  3.45 nF manual tuning range. With the RLC Circuit connected, relative increases in the impedance signal (±3σ noise) of 44% (±15%), 33% (±30%), 37% (±8.6%), and 16% (±19%) were produced. SIGNIFICANCE The increase in impedance signal amplitude at high frequencies, generated by the novel implementation of a parallel RLC Circuit across the drive current, improves spatial resolution by increasing the number of parallel drive currents which can be implemented in a frequency division multiplexed (FDM) EIT system, and aids the long term goal of a real-time FDM EIT system by reducing the need for ensemble averaging.

Atsushi Sakurai - One of the best experts on this subject based on the ideXlab platform.

  • resonant frequency and bandwidth of metamaterial emitters and absorbers predicted by an RLC Circuit model
    Journal of Quantitative Spectroscopy & Radiative Transfer, 2014
    Co-Authors: Atsushi Sakurai, Bo Zhao, Z M Zhang
    Abstract:

    Abstract Metamaterial thermal emitters and absorbers have been widely studied for different geometric patterns by exciting a variety of electromagnetic resonances. A resistor–inductor–capacitor (RLC) Circuit model is developed to describe the magnetic resonances (i.e. magnetic polaritons) inside the structures. The RLC Circuit model allows the prediction of not only the resonance frequency, but also the full width at half maximum and quality factor for various geometric patterns. The parameters predicted by the RLC model are compared with the finite-difference time-domain simulation. The magnetic field distribution and the power dissipation density profile are also used to justify the RLC Circuit model. The geometric effects on the resonance characteristics are elucidated in the wire (or strip), cross, and square patterned metamaterial in the infrared region. This study will facilitate the design of metamaterial absorbers and emitters based on magnetic polaritons.

J. Hope - One of the best experts on this subject based on the ideXlab platform.

  • Increasing signal amplitude in electrical impedance tomography of neural activity using a parallel resistor inductor capacitor (RLC) Circuit
    Journal of neural engineering, 2019
    Co-Authors: J. Hope, Zaid Aqrawe, Marshall Lim, Frédérique Vanholsbeeck, Andrew Mcdaid
    Abstract:

    Objective: To increase the impedance signal amplitude produced during neural activity using a novel approach of implementing a parallel resistor inductor capacitor (RLC) Circuit across the current source used in electrical impedance tomography (EIT) of peripheral nerve. Approach: Experiments were performed in vitro on sciatic nerve of Sprague-Dawley rats. Design of the RLC Circuit was performed in electrical Circuit modelling software, aided by in vitro impedance measurements on nerve and nerve cuff in the range 5 Hz to 50 kHz. Main results: The frequency range 17 +/- 1 kHz was selected for the RLC experiment. The RLC experiment was performed on four subjects using an RLC Circuit designed to produce a resonant frequency of 17 kHz with a bandwidth of 3.6 kHz, and containing a 22 mH inductive element and a 3.45 nF capacitive element. With the RLC Circuit connected, relative increases in the impedance signal (+/- 3sig noise) of 44 % (+/-15 %), 33 % (+/-30 %), 37 % (+/-8.6 %), and 16 % (+/-19 %) were produced. Significance: The increase in impedance signal amplitude at high frequencies, generated by the novel implementation of a parallel RLC Circuit across the drive current, improves spatial resolution by increasing the number of parallel drive currents which can be implemented in a frequency division multiplexed (FDM) EIT system, and aids the long term goal of a real-time FDM EIT system by reducing the need for ensemble averaging.

  • increasing signal amplitude in electrical impedance tomography of neural activity using a parallel resistor inductor capacitor RLC Circuit
    Journal of Neural Engineering, 2019
    Co-Authors: J. Hope, Zaid Aqrawe, Marshall Lim, Frédérique Vanholsbeeck, Andrew Mcdaid
    Abstract:

    OBJECTIVE To increase the impedance signal amplitude produced during neural activity using a novel approach of implementing a parallel resistor inductor capacitor (RLC) Circuit across the current source used in electrical impedance tomography (EIT) of peripheral nerve. APPROACH The frequency response of the impedance signal was characterized in the range 4-18 kHz, then a frequency range with significant capacitive charge transfer was selected for experiment with the RLC Circuit. Design of the RLC Circuit was aided by in vitro impedance measurements on nerve and nerve cuff in the range 5 Hz to 50 kHz. MAIN RESULTS The frequency response of the impedance signal across 4-18 kHz showed maximum amplitude at 6-8 kHz, and steady decline in amplitude between 8 and 18 kHz with  -6 dB reduction at 14 kHz. The frequency range 17  ±  1 kHz was selected for the RLC experiment. The RLC experiment was performed on four subjects using an RLC Circuit designed to produce a resonant frequency of 17 kHz with a bandwidth of 3.6 kHz, and containing a 22 mH inductive element and a 3.45 nF capacitive element with  +0.8/-  3.45 nF manual tuning range. With the RLC Circuit connected, relative increases in the impedance signal (±3σ noise) of 44% (±15%), 33% (±30%), 37% (±8.6%), and 16% (±19%) were produced. SIGNIFICANCE The increase in impedance signal amplitude at high frequencies, generated by the novel implementation of a parallel RLC Circuit across the drive current, improves spatial resolution by increasing the number of parallel drive currents which can be implemented in a frequency division multiplexed (FDM) EIT system, and aids the long term goal of a real-time FDM EIT system by reducing the need for ensemble averaging.

Mats Leijon - One of the best experts on this subject based on the ideXlab platform.

  • a methodology of modelling a wave power system via an equivalent RLC Circuit
    IEEE Transactions on Sustainable Energy, 2016
    Co-Authors: Ling Hai, Malin Goteman, Mats Leijon
    Abstract:

    The equivalent Circuit method can be an effective modelling technique for system studies of point absorbing wave energy converters (WECs). For the continuously evolving design and study of WEC systems, an instruction on how to draw the corresponding equivalent RLC Circuit model is needed. It is not only vital to make sure the model is correct, but to allow the model to be easily adapted for different cases and implemented by different researchers. This paper presents a force analysis-oriented methodology based on a typical WEC unit composed of a heaving buoy and a linear generator. Three cases are studied in order to demonstrate the procedures: the generator with a retracting spring, the connection line with a rubber damper, and buoy motion in both heave and surge directions. The presented methodology serves as a guide to produce nonlinear Circuit models that give a reliable description of the dynamics of real wave energy systems.