Abstract: This invention discloses a non-invasive electroencephalography (BEG) signal recorder and a multiband active electrode (MAE) EEG cap array. A narrow-band amplification method is disclosed that divides the desired bandwidth of the input brain signal to smaller bands, each recorded using a separate amplification path. A novel twisted differential feedback topology is disclosed for both amplifiers and active filters having ultra-high input impedance. A one-wire EEG cap array of tightly connected MAEs is disclosed that improves the flexibility and portability of the EEG cap by reducing the number of wires between the EEG cap and the host processor. Due to having MAEs embedded inside electrodes, the output signals of electrodes are digital information. The tightly connected network of MAEs enables the reference electrode to be chosen dynamically. Moreover, the voltage of the reference node is adjusted using a correction feedback loop before each recording step.

Abstract: A fully-implantable brain-computer interface cyber-physical system capable of acquiring and analyzing electrocorticogram (“ECoG”) signals, recorded directly from the subdural space of the brain, to enable direct brain control of a prosthetic (e.g., a robotic gait exoskeleton or a functional electrical stimulation (“FES”) system) is disclosed. The present system comprises a plurality of electrodes, for acquiring the ECoG signals, and a digital signal processor (“DSP”) for deriving a plurality of real-time commands from the ECoG signals. These real-time commands may then be wirelessly transmitted to the prosthetic for execution. Further, to avoid wireless data transmission of the ECoG signals from the plurality of electrodes to the DSP, which would expose the brain, skull, and scalp tissue to potentially harmful radio frequencies, a subcutaneous tunneling cable operatively couples the plurality of electrodes and the DSP.

Abstract: A fully-implantable brain-computer interface cyber-physical system capable of acquiring and analyzing electrocorticogram (“ECoG”) signals, recorded directly from the subdural space of the brain, to enable direct brain control of a prosthetic (e.g., a robotic gait exoskeleton or a functional electrical stimulation (“FES”) system) is disclosed. The present system comprises a plurality of electrodes, for acquiring the ECoG signals, and a digital signal processor (“DSP”) for deriving a plurality of real-time commands from the ECoG signals. These real-time commands may then be wirelessly transmitted to the prosthetic for execution. Further, to avoid wireless data transmission of the ECoG signals from the plurality of electrodes to the DSP, which would expose the brain, skull, and scalp tissue to potentially harmful radio frequencies, a subcutaneous tunneling cable operatively couples the plurality of electrodes and the DSP.

Abstract: The present invention relates to systems and methods for controlling neural prosthetic devices and electrophysiological recording equipment, and for using the same in clinical operation. Various embodiments of the invention are directed to an algorithm for autonomously isolating and maintaining neural action potential recordings. The algorithm may be used in connection with a neural interface microdrive capable of positioning electrodes to record signals from active neurons.

Abstract: The present invention relates to systems and methods for controlling neural prosthetic devices and electrophysiological recording equipment, and for using the same in clinical operation. Various embodiments of the invention are directed to an algorithm for autonomously isolating and maintaining neural action potential recordings. The algorithm may be used in connection with a neural interface microdrive capable of positioning electrodes to record signals from active neurons.