Patents by Inventor Newton Howard

Newton Howard 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: 20210196980
    Abstract: Embodiments may provide the capability to provide Transcranial Photobiomodulation (tPBM), Transcranial Direct Current Stimulation (tDCS), and Transcranial Alternating Current Stimulation (tACS) with dynamic closed loop feedback, such as may be provided by an Electro Encephalogram (EEG), as well as local and network-based processing to analyze and generate such signals. For example, in an embodiment, a device may comprise apparatus configured to apply Transcranial Photobiomodulation (tPBM) to a person, apparatus configured to apply Transcranial Direct Current Stimulation (tDCS) to the person, apparatus configured to obtain Electro Encephalogram (EEG) signals from the person, and apparatus configured to perform dynamic closed loop feedback of the tPBM and the tDCS based on the obtained EEG signals.
    Type: Application
    Filed: March 11, 2021
    Publication date: July 1, 2021
    Inventor: Newton Howard
  • Publication number: 20210141848
    Abstract: Embodiments of the present systems and methods may provide a fundamentally different approach to process the ‘search key words’ from users. For example, the process may progress through a series of steps that will understand ‘WHY’ a user is looking for the information instead of just ‘WHAT’ the user is searching. This will give the present techniques a very different way to look for the information and generate the search outputs. For example, a method may provide search results to a user of a computing device, the method may comprise receiving at least one search term from the user via the computing device, collecting information relating to the user other than the at least one search term, and providing search results to the user via the computing device based on the search term and on the collected information relating to the user.
    Type: Application
    Filed: August 10, 2020
    Publication date: May 13, 2021
    Inventors: Newton Howard, Mustak Ibn Ayub
  • Publication number: 20210138249
    Abstract: Embodiments may comprise receiving electrical and optical signals from electrophysiological neural signals of neural tissue from at least one read modality, wherein the electrophysiological neural signals are at least one of Spike frequency modulated or Spike frequency demodulated, encoding the received electrical and optical signals using a Fundamental Code Unit, automatically generating at least one machine learning model using the Fundamental Code Unit encoded electrical and optical signals, generating at least one optical or electrical signal to be transmitted to the brain tissue using the generated at least one machine learning model, wherein the generated signals are at least one of Spike frequency modulated or Spike frequency demodulated, and transmitting the generated at least one optical or electrical signal to the neural tissue to provide electrophysiological stimulation of the neural tissue using at least one write modality.
    Type: Application
    Filed: July 31, 2020
    Publication date: May 13, 2021
    Inventor: Newton Howard
  • Patent number: 11004461
    Abstract: Embodiments of the present systems and methods may provide techniques for extracting vocal features from voice signals to determine an emotional or mental state of one or more persons, such as to determine a risk of suicide and other mental health issues. For example, as a person's mental state may indirectly alters his or her speech, suicidal risk in, for example, hotline calls, may be determined through speech analysis. In embodiments, such techniques may include preprocessing of the original recording, vocal feature extraction, and prediction processing. For example, in an embodiment, a computer-implemented method of determining an emotional or mental state of a person, the method comprising acquiring an audio signal relating to a conversation including the person, extracting signal components relating to an emotional or mental state of at least the person, and outputting information characterizing the extracted emotional or mental state of the person.
    Type: Grant
    Filed: August 20, 2018
    Date of Patent: May 11, 2021
    Inventor: Newton Howard
  • Publication number: 20210106288
    Abstract: A new computational approach may provide improved detection of disease conditions and comorbidities, such as PTSD, Parkinson's, Alzheimer's, depression, etc. For example, in an embodiment, a computer-implemented method for detecting a disease condition may comprise receiving a plurality of data streams, each data stream representing a measurement of a brain activity comprising physical and chemical phenomena and performing pattern analysis on the plurality of data streams to detect at least one fundamental code unit of a brain code corresponding to a disease condition based on a combination of the plurality of data streams.
    Type: Application
    Filed: October 9, 2020
    Publication date: April 15, 2021
    Inventor: Newton Howard
  • Publication number: 20210056470
    Abstract: Embodiments may provide an intelligent adaptive system that combines input data types, processing history and objectives, research knowledge, and situational context to determine the most appropriate mathematical model, choose the computing infrastructure, and propose the best solution for a given problem. For example, a method may comprise receiving data relating to a problem to be solved, generating a description of the problem, wherein the description conforms to defined format, obtaining at least one machine learning model relevant to the problem, selecting, at the computer system, computing infrastructure upon which to execute the at least one machine learning model relevant to the problem, wherein the selected computing infrastructure comprises a mesh of interconnected micro-applications, and executing the at least one machine learning model relevant to the problem using the selected computing infrastructure to generate at least one recommendation relevant to the problem.
    Type: Application
    Filed: October 22, 2020
    Publication date: February 25, 2021
    Inventor: Newton Howard
  • Publication number: 20210052896
    Abstract: Embodiments may stimulate nerve activity using transcutaneous nerve stimulation, as well as monitor nerve activity through the skin. Various branches of the nervous system may be accessed at various points on the body.
    Type: Application
    Filed: October 12, 2020
    Publication date: February 25, 2021
    Inventor: Newton Howard
  • Publication number: 20200405204
    Abstract: Embodiments of the present invention may provide techniques that provide improved detection of catecholamines, such as dopamine. For example, in an embodiment, a method for catecholamine sensing may comprise outputting a signal responsive to a level of at least one catecholamine in neural tissue from a catecholamine sensor, analyzing the signal responsive to a catecholamine level in the neural tissue using circuitry connected to the catecholamine sensor, the circuitry comprising at least one computing device comprising a processor, memory accessible by the processor, and program instructions stored in the memory and executable by the processor, generating, using the circuitry, data representing the catecholamine level in the neural tissue, and transmitting the generated data representing the catecholamine level in the neural tissue using communication circuitry.
    Type: Application
    Filed: July 31, 2020
    Publication date: December 31, 2020
    Inventor: Newton Howard
  • Patent number: 10846601
    Abstract: Embodiments of the present invention may provide techniques to create a new framework by this invention applying the theory of Sentic Computing.
    Type: Grant
    Filed: September 22, 2016
    Date of Patent: November 24, 2020
    Inventors: Newton Howard, Erik Cambria
  • Publication number: 20200350633
    Abstract: Secondary batteries and methods of manufacture thereof are provided. A secondary battery can comprise an offset between electrode and counter-electrode layers in a unit cell. Secondary batteries can be prepared by removing a population of negative electrode subunits from a negative electrode sheet, the negative electrode sheet comprising a negative electrode sheet edge margin and at least one negative electrode sheet weakened region that is internal to the negative electrode sheet edge margin, removing a population of separator layer subunits from a separator sheet, and removing a population of positive electrode subunits from a positive electrode sheet, the positive electrode sheet comprising a positive electrode edge margin and at least one positive electrode sheet weakened region that is internal to the positive electrode sheet edge margin, and stacking members of the negative electrode subunit population, the separator layer subunit population and the positive electrode subunit population.
    Type: Application
    Filed: November 15, 2018
    Publication date: November 5, 2020
    Inventors: Robert S. BUSACCA, Ashok LAHIRI, Murali RAMASUBRAMANIAN, Bruno A. VALDES, Gardner Cameron DALES, Christopher J. SPINDT, Geoffrey Matthew HO, Harrold J. RUST, III, James D. WILCOX, John F. VARNI, Kim Han LEE, Nirav S. SHAH, Richard J. CONTRERAS, Lynn VAN ERDEN, Ken S. MATSUBAYASHI, Jeremie J. DALTON, Jason Newton HOWARD, Robert Keith ROSEN, Jonathan C. DOAN, Michael J. ARMSTRONG, Anthony CALCATERRA, Benjamin L. CARDOZO, Joshua David WINANS, Neelam SINGH, Jeffrey Glenn BUCK, Thomas John SCHUERLEIN, Kim Lester FORTUNATI, Neal SARSWAT
  • Patent number: 10799186
    Abstract: A new computational approach may provide improved detection of disease conditions and comorbidities, such as PTSD, Parkinson's, Alzheimer's, depression, etc. For example, in an embodiment, a computer-implemented method for detecting a disease condition may comprise receiving a plurality of data streams, each data stream representing a measurement of a brain activity comprising physical and chemical phenomena and performing pattern analysis on the plurality of data streams to detect at least one fundamental code unit of a brain code corresponding to a disease condition based on a combination of the plurality of data streams.
    Type: Grant
    Filed: February 13, 2017
    Date of Patent: October 13, 2020
    Inventor: Newton Howard
  • Patent number: 10799698
    Abstract: Embodiments may stimulate nerve activity using transcutaneous nerve stimulation, as well as monitor nerve activity through the skin. Various branches of the nervous system may be accessed at various points on the body. For example, system for monitoring and stimulating human body activity and conditions may comprise at least one transcutaneous nerve stimulation circuitry comprising a circuitry adapted to generate a nerve stimulation signal and at least one electrode or contact adapted to apply the nerve stimulation signal to a nerve of a human through a skin of the human, transcutaneous electrical nerve monitoring circuitry comprising a circuitry adapted to monitor at least one nerve signal received from at least one sensor adapted to obtain the at least one nerve signal from a human through the skin of the human, and control circuitry adapted to control signal generation and signal application of the transcutaneous nerve stimulation circuitry.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: October 13, 2020
    Inventor: Newton Howard
  • Publication number: 20200315526
    Abstract: Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.
    Type: Application
    Filed: April 6, 2020
    Publication date: October 8, 2020
    Inventor: Newton Howard
  • Publication number: 20200313146
    Abstract: Embodiments of secondary batteries having electrode assemblies are provided. A secondary battery can comprise an electrode assembly having a stacked series of layers, the stacked series of layers having an offset between electrode and counter-electrode layers in a unit cell member of the stacked series. A set of constraints can be provided with a primary constraint system with first and second primary growth constraints separated from each other in a longitudinal direction, and connected by at least one primary connecting member, and a secondary constraint system comprises first and second secondary growth constraints separated in a second direction and connected by members of the stacked series of layers. The primary constraint system may at least partially restrain growth of the electrode assembly in the longitudinal direction, and the secondary constraint system may at least partially restrain growth in the second direction that is orthogonal to the longitudinal direction.
    Type: Application
    Filed: November 15, 2018
    Publication date: October 1, 2020
    Inventors: Robert S. BUSACCA, Ashok LAHIRI, Murali RAMASUBRAMANIAN, Bruno A. VALDES, Gardner Cameron DALES, Christopher J. SPINDT, Geoffrey Matthew HO, Harrold J. RUST, III, James D. WILCOX, John F. VARNI, Kim Han LEE, Nirav S. SHAH, Richard J. CONTRERAS, Lynn VAN ERDEN, Ken S. MATSUBAYASHI, Jeremie J. DALTON, Jason Newton HOWARD, Robert Keith ROSEN, Jonathan C. DOAN, Michael J. ARMSTRONG, Anthony CALCATERRA, Benjamin L. CARDOZO, Joshua David WINANS, Neelam SINGH, Jeffrey Glenn BUCK, Thomas John SCHUERLEIN, Kim Lester FORTUNATI, Neal SARSWAT
  • Publication number: 20200298005
    Abstract: Embodiments may provide a general-purpose, relatively inexpensive, AI-driven implant that is able to adapt to and modulate any given region in the brain. For example, in an embodiment, an implant device adapted to be implanted within a body of a person for interacting with brain tissue may comprise a plurality of fibers adapted to receive electrical and optical signals from electrophysiological neural signals of the brain tissue and to transmit electrical and optical signals to provide electrophysiological stimulation of the brain tissue, the fibers electrically and optically coupled to at least one readout integrated circuit.
    Type: Application
    Filed: April 8, 2020
    Publication date: September 24, 2020
    Inventor: Newton Howard
  • Patent number: 10740421
    Abstract: Embodiments of the present systems and methods may provide a fundamentally different approach to process the ‘search key words’ from users. For example, the process may progress through a series of steps that will understand ‘WHY’ a user is looking for the information instead of just ‘WHAT’ the user is searching. This will give the present techniques a very different way to look for the information and generate the search outputs. For example, a method may provide search results to a user of a computing device, the method may comprise receiving at least one search term from the user via the computing device, collecting information relating to the user other than the at least one search term, and providing search results to the user via the computing device based on the search term and on the collected information relating to the user.
    Type: Grant
    Filed: March 9, 2018
    Date of Patent: August 11, 2020
    Inventors: Newton Howard, Mustak Ibn Ayub
  • Publication number: 20200237299
    Abstract: Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.
    Type: Application
    Filed: April 13, 2020
    Publication date: July 30, 2020
    Inventor: Newton Howard
  • Publication number: 20200229759
    Abstract: In embodiments, devices, methods and systems to analyze the different mediums of brain function in a mathematically uniform manner may be provided. These devices, methods and systems may manifest at several levels and ways relating to brain physiology, including neuronal activity, molecular chirality and frequency oscillations. For example, in an embodiment, a computer-implemented method for determining structure of living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing at least one physical condition of the living neural tissue, determining action potentials based on the signals received from the read modalities, determining frequency oscillations based on the signals received from the read modalities and the action potentials, and determining neuron network structures based on the signals received from the read modalities, the action potentials, and the frequency oscillations.
    Type: Application
    Filed: April 6, 2020
    Publication date: July 23, 2020
    Inventor: Newton Howard
  • Publication number: 20200222010
    Abstract: Embodiments of the present invention may provide techniques for brain interfacing, mapping neuronal structure, manipulating cellular structure, cognitive and brain augmentation via implants, and curing, not just managing, neurological disorders. For example, a method for deep mind analysis may comprise receiving electrical and optical signals from electrophysiological neural signals of brain tissue from at least one read modality, encoding the received electrical and optical signals using a Fundamental Code Unit, automatically generating at least one machine learning model using the Fundamental Code Unit encoded electrical and optical signals, generating at least one optical or electrical signal to be transmitted to the brain tissue using the generated at least one machine learning model, and transmitting the generated at least one optical or electrical signal to the brain tissue to provide electrophysiological stimulation of the brain tissue using at least one write modality.
    Type: Application
    Filed: February 10, 2020
    Publication date: July 16, 2020
    Inventor: Newton Howard
  • Patent number: 10624578
    Abstract: In embodiments, devices, methods and systems to analyze the different mediums of brain function in a mathematically uniform manner may be provided. These devices, methods and systems may manifest at several levels and ways relating to brain physiology, including neuronal activity, molecular chirality and frequency oscillations. For example, in an embodiment, a computer-implemented method for determining structure of living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing at least one physical condition of the living neural tissue, determining action potentials based on the signals received from the read modalities, determining frequency oscillations based on the signals received from the read modalities and the action potentials, and determining neuron network structures based on the signals received from the read modalities, the action potentials, and the frequency oscillations.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: April 21, 2020
    Inventor: Newton Howard