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公开(公告)号：US11950924B2
公开(公告)日：2024-04-09
申请号：US16847625
申请日：2020-04-13
Applicant: Newton Howard
Inventor： Newton Howard
IPC: A61B5/00 , A61B5/055 , A61B5/11 , A61B5/24 , A61B5/245 , A61B5/30 , A61B5/369 , A61M21/02 , A61N1/00 , A61N2/00 , A61N5/06 , A61M21/00 , A61N1/05 , A61N1/36 , A61N5/10 , A61N7/00
CPC classification number: A61B5/4839 , A61B5/055 , A61B5/112 , A61B5/24 , A61B5/245 , A61B5/30 , A61B5/369 , A61B5/407 , A61B5/4082 , A61B5/4088 , A61B5/4803 , A61B5/4824 , A61B5/7282 , A61M21/02 , A61N1/00 , A61N2/006 , A61N5/0618 , A61N5/0622 , A61B5/4076 , A61B2576/026 , A61M2021/0027 , A61M2021/0044 , A61N1/0534 , A61N1/36014 , A61N1/36071 , A61N2005/0661 , A61N2005/1087 , A61N2007/0026
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.
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公开(公告)号：US20230172560A1
公开(公告)日：2023-06-08
申请号：US18055055
申请日：2022-11-14
Applicant: Newton Howard
Inventor： Newton Howard
CPC classification number: A61B5/7267 , A61B5/7282 , A61B6/5217 , G06T7/0012 , A61B5/055
Abstract: Embodiments may relate to techniques for image augmentation used for the detection and screening of respiratory diseases, such as COVID-19 pneumonia. For example, For example, in an embodiment a system for detecting medical conditions may comprise an image acquisition component adapted to acquire a plurality of images of persons, at least some of whom have a medical condition, an image augmentation component adapted to generate a plurality of additional images from the acquired plurality of images using a plurality of image augmentation methods, and a training component adapted to train a machine learning model using the acquired plurality of images and the generated plurality of additional images to form a trained machine learning mode,; wherein when the medical condition is COVID-19, not generating the plurality of additional images so as to improve accuracy of the machine learning model in recognizing presence or absence of COVID-19 in images.
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公开(公告)号：US20230127669A1
公开(公告)日：2023-04-27
申请号：US17982086
申请日：2022-11-07
Applicant: Newton Howard
Inventor： Newton Howard
Abstract: Embodiments may provide multimodal diagnostic systems and methods for detecting neurological disorders, such as Alzheimer's disease (AD), Parkinson's disease (PD), depression, PTSD, schizophrenia, dementia and many others. For example, a system for monitoring brain activity may comprise a plurality of sensors, each adapted to monitor a physical or physiological parameter and output a signal representing the monitored physical or physiological parameter, wherein the plurality of sensors includes at least one sensor configured to monitor a brain activity parameter, a data collection device adapted to receive the plurality of signals from the plurality of sensors and to process the signals to form digital data representing the monitored physical or physiological parameters, and a data processing device adapted to process digital data representing the monitored physical or physiological parameters to determine presence of a neurological disorder or condition.
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公开(公告)号：US20230098655A1
公开(公告)日：2023-03-30
申请号：US17524407
申请日：2021-11-11
Applicant: Newton Howard
Inventor： Newton Howard
Abstract: Embodiments may provide techniques for operating autonomous systems with improved autonomy so as to operate largely, or even completely, autonomously. For example, in an embodiment, a self-aware mobile system may comprise a vehicle, vessel, or aircraft comprising at least one communication device configured to transmit and receive data so as communicate with at least one autonomous sensor platform and at least one computer system configured to receive data from the at least one autonomous sensor platform and, using the received data, to generate data to implement autonomous movement corresponding to SAE automation level 4 or level 5 using processing in accordance with a Hierarchical Intelligence Model, and at least one autonomous sensor platform comprising at least one communication device configured to transmit and receive data so as communicate with the vehicle, vessel, or aircraft.
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公开(公告)号：US11504038B2
公开(公告)日：2022-11-22
申请号：US16584654
申请日：2019-09-26
Applicant: Newton Howard
Inventor： Newton Howard
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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Patent Agency Ranking
公开(公告)号：US20220214277A1
公开(公告)日：2022-07-07
申请号：US17704467
申请日：2022-03-25
Applicant: Newton Howard
Inventor： Newton Howard
IPC: G01N21/64 , G01N33/533 , G01N15/14 , G01N33/543 , G01N33/569 , B01L3/00
Abstract: Embodiments may include a rapid test device that provide rapid detection of substances, including those involved in pathogen infection, for example, using Microscale Affinity Chromatography (MAC), indirect ELISA, and optical molecular sensing technology. For example, in an embodiment, a system may comprise a cartridge comprising a first chamber configured to receive a test sample including a target substance, the first chamber pre-filled with micromagnetic particles treated so as to bind to the target substance, and a first reservoir pre-filled with at least one reagent labeled with at least one fluorescent compound, the reagent adapted to bind to micromagnetic particles that are bound to the target substance, and an apparatus comprising a light source disposed so as to excite the least one fluorescent compound with a light and an optical sensor disposed so as to detect an emitted spectrum of light from the excited least one fluorescent compound.
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公开(公告)号：US20220172126A1
公开(公告)日：2022-06-02
申请号：US17676153
申请日：2022-02-19
Applicant: Newton Howard
Inventor： Newton Howard
Abstract: Embodiments of the present systems and methods may provide automated techniques that may provide enhanced security and safety and reduced costs. For example, in an embodiment, a method implemented in a computer may comprise receiving, at the computer system, data capturing an event, generating, at the computer system, a narrativization of the data characterizing the event captured in the data, detecting, at the computer system, at least one entity involved in the event captured in the data, obtaining, at the computer system, ontology information based on the generated narrativization and the detected at least one entity, determining, at the computer system, an intent of the at least one detected entity involved in the event captured in the data, and performing, at the computer system, an action responsive to the determined intent.
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公开(公告)号：US11096653B2
公开(公告)日：2021-08-24
申请号：US15431221
申请日：2017-02-13
Applicant: Newton Howard
Inventor： Newton Howard
Abstract: Embodiments of the present systems and methods may provide improved electronic stethoscopes that provide diversified diagnosis functionality. For example, embodiments may provide the capability to diagnose a wide range of pathologies by using the device's wireless network capacity to link it to wearable sensors of different kinds, maintaining the traditional use of the stethoscope while enabling it to sense a whole new set of physiological signals. For example, in an embodiment, a system may comprise a networked electronic stethoscope and a sensor adapted to be attached to the networked electronic stethoscope, the sensor comprising an electrode adapted to obtain a signal representing a physiological parameter of a patient, a processor adapted to digitize and process the obtained signal to form data, and a wireless network adapter adapted to transmit the data to the networked electronic stethoscope.
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公开(公告)号：US20210196980A1
公开(公告)日：2021-07-01
申请号：US17198518
申请日：2021-03-11
Applicant: Newton Howard
Inventor： Newton Howard
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.
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公开(公告)号：US20210138249A1
公开(公告)日：2021-05-13
申请号：US16944963
申请日：2020-07-31
Applicant: Newton Howard
Inventor： Newton Howard
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.
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