Patents by Inventor Pulkit Grover

Pulkit Grover has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250252290
    Abstract: Disclosed herein is a novel pseudoinverse estimation system and method that adapts regression techniques to directly estimate one or more pseudoinverses of a neuromodulation pathway, thereby circumventing the need of inverting an estimated forward model. This is accomplished by the learning of a restricted domain that restricts the potential stimuli required to produce a desired neuro response.
    Type: Application
    Filed: October 30, 2023
    Publication date: August 7, 2025
    Applicant: CARNEGIE MELLON UNIVERSITY
    Inventors: Pulkit Grover, Chaitanya Goswami
  • Publication number: 20250121187
    Abstract: A method of delivering a non-invasive neurostimulation using a Monotonic Amplitude Pulse Train is more charge-efficient than using conventional, uniform waveforms. Monotonic Amplitude Pulse Trains optimize the amplitudes of individual pulses in a train to reduce the total energy required to provide neural stimulation by as much as 50%.
    Type: Application
    Filed: October 14, 2024
    Publication date: April 17, 2025
    Applicant: CARNEGIE MELLON UNIVERSITY
    Inventors: Chaitanya Goswami, Mats Forssell, Vishal Jain, Maysam Chamanzar, Pulkit Grover
  • Publication number: 20250025714
    Abstract: Methods providing reliable and non-invasive ways to suppress spreading depolarization waves leading to cortical spreading depression are disclosed. A stimulation signal is applied at the location of and surrounding the location of the spreading depolarization and the amplitude and focal point of the stimulation signal are randomly varied, causing suppression of the spreading depolarization wave.
    Type: Application
    Filed: September 24, 2024
    Publication date: January 23, 2025
    Inventors: Alireza Chaman Zar, Pulkit Grover, Shawn K. Kelly, Maysam Chamanzar, Shilpa George, Anjali Menon
  • Patent number: 12178588
    Abstract: A novel method for using the widely-used electroencephalography (EEG) systems to detect and localize silences in the brain is disclosed. The method detects the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. This method can also be used for reduced activity localization, activity level mapping throughout the brain, as well as mapping activity levels in different frequency bands. By accounting for the contributions of different sources to the power of the recorded signals and using a hemispheric baseline approach and a convex spectral clustering framework, the method permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data.
    Type: Grant
    Filed: January 11, 2024
    Date of Patent: December 31, 2024
    Assignee: Carnegie Mellon University
    Inventors: Pulkit Grover, Alireza Chamanzar, Marlene Behrmann Cohen
  • Publication number: 20240416125
    Abstract: Disclosed herein is a method for delivery stimulation to targeted deep brain structures by supplementing existing method using external electrodes with transnasal electrodes, disposed, for example, in the olfactory cleft and within the hyenoid sinus, or, more broadly, in the nasal cavity and/or in the sinuses, including, but not limited to, the frontal, ethmoidal, sphenoid sinus, etc. The method allows stimulation and/or sensing in deep brain regions which can be inaccessible from the scalp or for which existing methods are ineffective in targeting. The method can also be used for power delivery to implants that might be placed inside the brain or on its surface.
    Type: Application
    Filed: June 13, 2024
    Publication date: December 19, 2024
    Applicant: CARNEGIE MELLON UNIVERSITY
    Inventors: Mats Forssell, Yuxin Guo, Yuhyun Lee, Vishal Jain, Chaitanya Goswami, Ariel Feldman, Neil Ashim Mehta, Boyle C. Cheng, Pulkit Grover
  • Publication number: 20240359012
    Abstract: Disclosed herein is a novel pseudoinverse estimation system and method that adapts regression techniques to directly estimate one or more pseudo inverses of a neuromodulation pathway, thereby circumventing the need of inverting an estimated forward model to design an electrical waveform that elicits a desired neural response. This is accomplished by the learning of a restricted domain that restricts the potential stimuli required to produce the desired neural response. Also disclosed herein is an adaptive, data-driven method providing a more selective design of an electrical waveform to elicit the desired neural response.
    Type: Application
    Filed: April 19, 2024
    Publication date: October 31, 2024
    Applicant: CARNEGIE MELLON UNIVERSITY
    Inventors: Pulkit Grover, Chaitanya Goswami
  • Publication number: 20240278011
    Abstract: Disclosed herein is a method for optimizing electrode placement that directly exploits the thresholding phenomenon of neurons. The method employs a loss function which only becomes non-zero when the electric field is above a user-specified threshold in the cancel region, thereby allowing for fields which can have significant non-zero current in the cancel region, but still provide more focused neural activation.
    Type: Application
    Filed: September 22, 2022
    Publication date: August 22, 2024
    Inventors: Pulkit Grover, CHAITANYA GOSWAMI
  • Publication number: 20240252096
    Abstract: A novel method for using the widely-used electroencephalography (EEG) systems to detect and localize silences in the brain is disclosed. The method detects the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. This method can also be used for reduced activity localization, activity level mapping throughout the brain, as well as mapping activity levels in different frequency bands. By accounting for the contributions of different sources to the power of the recorded signals and using a hemispheric baseline approach and a convex spectral clustering framework, the method permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data.
    Type: Application
    Filed: January 11, 2024
    Publication date: August 1, 2024
    Applicant: CARNEGIE MELLON UNIVERSITY
    Inventors: PULKIT GROVER, ALIREZA CHAMANZAR, MARLENE BEHRMANN COHEN
  • Patent number: 11925470
    Abstract: A novel method for using the widely-used electroencephalography (EEG) systems to detect and localize silences in the brain is disclosed. The method detects the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. This method can also be used for reduced activity localization, activity level mapping throughout the brain, as well as mapping activity levels in different frequency bands. By accounting for the contributions of different sources to the power of the recorded signals, and using a hemispheric baseline approach and a convex spectral clustering framework, the method permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data.
    Type: Grant
    Filed: February 24, 2021
    Date of Patent: March 12, 2024
    Assignee: Carnegie Mellon University
    Inventors: Pulkit Grover, Alireza Chamanzar, Marlene Behrmann Cohen
  • Publication number: 20240050020
    Abstract: Disclosed herein is a system and method implementing an automated, generalizable model for tracking cortical spreading depressions using EEG. The model comprises convolutional neural networks and graph neural networks to leverage both the spatial and the temporal properties of CSDs in the detection. The trained model is generalizable to different head models such that it can be applied to new patients without re-training. Further, the model is scalable to different densities of EEG electrodes, even when trained on a specific electride density.
    Type: Application
    Filed: April 27, 2022
    Publication date: February 15, 2024
    Inventors: Alireza Chamanzar, Xujin Liu, Levender Y. Jiang, Kimon A. Vogt, José M.F. Moura, Pulkit Grover
  • Patent number: 11839477
    Abstract: The invention comprises an EEG electrode assembly for use in attaching an EEG electrode to the scalp of a subject having coarse, curly and/or long hair, or to subjects having their hair in cornrows, braids, and/or dreadlocks. The invention comprises clips for engaging the hair of the subject, the clips being attached to a central portion for holding electrode in contact with the scalp of the subject when the clips are engaged with the hair of the subject.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: December 12, 2023
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: Arnelle Etienne, Harper Weigle, Pulkit Grover, Ashwati Krishnan, Shawn K. Kelly
  • Publication number: 20210298659
    Abstract: A novel method for using the widely-used electroencephalography (EEG) systems to detect and localize silences in the brain is disclosed. The method detects the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. This method can also be used for reduced activity localization, activity level mapping throughout the brain, as well as mapping activity levels in different frequency bands. By accounting for the contributions of different sources to the power of the recorded signals, and using a hemispheric baseline approach and a convex spectral clustering framework, the method permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data.
    Type: Application
    Filed: February 24, 2021
    Publication date: September 30, 2021
    Inventors: Pulkit Grover, Alireza Chamanzar, Marlene Behrmann Cohen
  • Publication number: 20210122895
    Abstract: A carbon fiber-based conductive sponge for low electrode-skin impedance biosignal recordings is described. When the sponge is used with water or saline solution, no gel is required, drastically lowering the setup time for EEGs compared to classical wet electrodes. The wet sponges achieve an electrode-skin impedance as low as 2.5 k?¶ when wet, making them better than state of the art gel electrodes. Additionally, even as the sponge dries, it continues to remain conductive and performs as a reliable dry electrode.
    Type: Application
    Filed: July 3, 2019
    Publication date: April 29, 2021
    Inventors: Ashwati Krishnan, Pulkit Grover, Shawn Kelly, Ritesh Kumar, Kalee Rozylowicz
  • Publication number: 20210121694
    Abstract: Methods providing reliable and non-invasive ways to suppress spreading depolarization waves leading to cortical spreading depression are disclosed. The calcium conductance parameter of the 6 component Tuckwell model of spreading depolarization wave propagation is modified using Anderson Localization and other methods to disrupt the propagation of the waves, thus suppressing and eliminating spreading depolarization.
    Type: Application
    Filed: October 28, 2020
    Publication date: April 29, 2021
    Inventors: Alireza Chaman Zar, Pulkit Grover, Shawn K. Kelly, Maysam Chamanzar, Shilpa George, Anjali Menon
  • Publication number: 20210085206
    Abstract: The invention comprises an EEG electrode assembly for use in attaching an EEG electrode to the scalp of a subject having coarse, curly and/or long hair, or to subjects having their hair in cornrows, braids, and/or dreadlocks. The invention comprises clips for engaging the hair of the subject, the clips being attached to a central portion for holding electrode in contact with the scalp of the subject when the clips are engaged with the hair of the subject.
    Type: Application
    Filed: September 18, 2020
    Publication date: March 25, 2021
    Inventors: Arnelle Etienne, Harper Weigle, Pulkit Grover, Ashwati Krishnan, Shawn K. Kelly
  • Patent number: 10682068
    Abstract: The present invention relates to a method of taking biopotential measurements, with the ability to perform in high-density sensing applications. The invention is a hierarchical referencing method for the electrodes in the biopotential measurement system that is able to recover potential at each location with respect to a global reference with smaller requirements on ADC resolution, and thus with lower power and area requirements as compared to current systems.
    Type: Grant
    Filed: June 27, 2016
    Date of Patent: June 16, 2020
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: Pulkit Grover, Shawn Kelly, Jeffrey Weldon
  • Publication number: 20200104127
    Abstract: A novel coding technique, referred to herein as Generalized PolyDot, for calculating matrix-vector products that advances on existing techniques for coded matrix operations under storage and communication constraints is disclosed. The method is resistant to soft errors and provides a trade-off between error resistance and communication cost.
    Type: Application
    Filed: September 30, 2019
    Publication date: April 2, 2020
    Inventors: Pulkit Grover, Haewon Jeong, Yaoqing Yang, Sanghamitra Dutta, Ziqian Bal, Tze Meng Low, Mohammad Fahim, Farzin Haddadpour, Viveck Cadambe
  • Publication number: 20180146878
    Abstract: The present invention relates to a method of taking biopotential measurements, with the ability to perform in high-density sensing applications. The invention is a hierarchical referencing method for the electrodes in the biopotential measurement system that is able to recover potential at each location with respect to a global reference with smaller requirements on ADC resolution, and thus with lower power and area requirements as compared to current systems.
    Type: Application
    Filed: June 27, 2016
    Publication date: May 31, 2018
    Inventors: Pulkit Grover, Shawn Kelly, Jeffrey Weldon