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公开(公告)号：US20210285943A1
公开(公告)日：2021-09-16
申请号：US16855709
申请日：2020-04-22
Applicant: Newton Howard
Inventor： Newton Howard
IPC: G01N33/543 , G01N15/14 , G01N33/533 , G01N33/569 , G01N21/64
Abstract: Embodiments may include a virumeter for rapid detection of COVID-19 infection and assessment of immunity to the virus. For example, a device for detecting primary antibodies to a pathogen or the pathogen may comprise a cartridge to receive a test sample from the person, the cartridge comprising at least one chamber to receive the test sample, first apparatus to mix at least one first reagent reactive to presence of the primary antibodies to the pathogen or the pathogen, second apparatus to mix at least one second reagent including a fluorescent compound with the test sample reactive to presence of the at least one first reagent having reacted to presence of the primary antibodies to the pathogen or the pathogen, and circuitry to determine presence of primary antibodies to the pathogen or the pathogen by detecting reaction of the second reagent by determining fluorescence of the fluorescent compound.
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公开(公告)号：US20210106288A1
公开(公告)日：2021-04-15
申请号：US17066828
申请日：2020-10-09
Applicant: Newton Howard
Inventor： Newton Howard
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.
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公开(公告)号：US20210056470A1
公开(公告)日：2021-02-25
申请号：US17078066
申请日：2020-10-22
Applicant: Newton Howard
Inventor： Newton Howard
IPC: G06N20/00
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.
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公开(公告)号：US10799698B2
公开(公告)日：2020-10-13
申请号：US16443652
申请日：2019-06-17
Applicant: Newton Howard
Inventor： Newton Howard
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.
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公开(公告)号：US20200229759A1
公开(公告)日：2020-07-23
申请号：US16841513
申请日：2020-04-06
Applicant: Newton Howard
Inventor： Newton Howard
IPC: A61B5/00 , A61N2/00 , A61M21/02 , A61B5/11 , A61B5/04 , A61B5/0476 , A61B5/055 , A61N5/06 , A61N1/00 , A61N7/00
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.
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Patent Agency Ranking
公开(公告)号：US20200075020A1
公开(公告)日：2020-03-05
申请号：US16558627
申请日：2019-09-03
Applicant: Newton Howard , Mustak Ibn Ayub
Inventor： Newton Howard , Mustak Ibn Ayub
Abstract: Embodiments may process search input for different users based on classifications of information and based on emotional content of search commands from the users. For example, a method may comprise receiving, at a computer system, speech data from a client device, the speech data representing a voice command from a user, obtaining, at the computer system, a plurality of items of content responsive to the voice command by searching for content, determining, at the computer system, at least one class related to the voice command, classifying, at the computer system, each obtained item of content into at least one class, identifying, at the computer system, at least one item of content classified into at least one class related to the voice command, and transmitting, at the computer system, the at least one identified item of content.
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公开(公告)号：US20200060566A1
公开(公告)日：2020-02-27
申请号：US16550662
申请日：2019-08-26
Applicant: Newton Howard
Inventor： Newton Howard
Abstract: For example, a method for detection of pain using electroencephalogram signals may comprise measuring electroencephalogram signals using electrodes attached to a head of a subject and circuitry to convert the electroencephalogram signals to digital data representative of the electroencephalogram signals for processing by a computer to perform bandpass filtering the digital data representative of the electroencephalogram signals to generate digital data representative of frequencies associated with spindles associated with pain, performing a Hilbert transform on the digital data representative of frequencies associated with spindles associated with pain to generate digital data representative of the transformed data, detecting an envelope of the digital data representative of the transformed data to generate envelope data, detecting whether the envelope data exceeds a threshold to generate classification data indicating presence or absence of a spindle associated with pain, and displaying or transmitting the classification data indicating the presence or absence of pain.
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公开(公告)号：US20200036810A1
公开(公告)日：2020-01-30
申请号：US16520673
申请日：2019-07-24
Applicant: Newton Howard
Inventor： Newton Howard
Abstract: Embodiments of the present systems and methods may provide an intelligent systems framework for analysis of user-generated content from various capture points to determine user intent. For example, a method may be implemented in a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, the method may comprise receiving, at the computer system, data relating to a plurality of aspects of at least one person, including data from at least one of physical or physiological sensors and communicatively connected devices, extracting, at the computer system, from the received data, features relevant to events relating to at least one person, extracting, at the computer system, at least one intent of at least one event relating to at least one person, and performing, at the computer system, an action based on the extracted at least one intent.
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公开(公告)号：US20190156189A1
公开(公告)日：2019-05-23
申请号：US16194721
申请日：2018-11-19
Applicant: Newton Howard , Ahsan Adeel , Mandar Gogate , Amir Hussain
Inventor： Newton Howard , Ahsan Adeel , Mandar Gogate , Amir Hussain
Abstract: Embodiments of the present systems and methods may provide a more efficient and low-powered cognitive computational platform utilizing a deep cognitive neural network (DCNN), incorporating an architecture that integrates convolutional feedforward and recurrent networks, and replaces multi-layer perceptron (MLP) based sigmoidal neural structures with a queuing theory-driven design. For example, in an embodiment, a circuit may comprise a plurality of layers of neural network circuitry, each layer comprising a plurality of neuron circuits, each neuron comprising a plurality of computational circuits, and each neuron connected to a plurality of other neurons in the same layer by synapse circuitry, wherein the plurality of layers of neural network circuitry are adapted to process symbolic and conceptual information.
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公开(公告)号：US20170258390A1
公开(公告)日：2017-09-14
申请号：US15431283
申请日：2017-02-13
Applicant: Newton Howard
Inventor： Newton Howard
IPC: A61B5/00 , A61B5/0476 , A61B5/16 , A61B5/11
CPC classification number: A61B5/4082 , A61B5/0476 , A61B5/11 , A61B5/1123 , A61B5/1124 , A61B5/16 , A61B5/165 , A61B5/4088 , A61B5/4803 , A61B5/4836 , A61B5/726
Abstract: Embodiments of the present systems and methods may provide a non-invasive system to measure and integrate behavioral and cognitive features enabling early detection and progression tracking of degenerative disease. For example, a method of detecting neurodegenerative disease may comprise measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life and analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject.
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