TECHNOLOGY AND METHODS FOR DETECTING COGNITIVE DECLINE

    公开(公告)号:US20180338715A1

    公开(公告)日:2018-11-29

    申请号:US15988260

    申请日:2018-05-24

    Applicant: Newton Howard

    Inventor: Newton Howard

    Abstract: Embodiments of the present systems and methods may detect cognitive decline using changes in activities of daily living. For example, in an embodiment, a computer-implemented method for determining effects of cognitive loading on a person may comprise receiving data from at least one physical movement sensor attached to a person, the data recorded while the person is repeatedly performing a physical task and while the person is under cognitive loading during at least some of the performances of the task, determining physical movements of the person in response to the cognitive loading from the received data for each of the performances of the task, and determining an effect of cognitive loading based on the physical movements of the person while performing the physical task without cognitive loading and while performing the physical task with cognitive loading.

    Detection Of Disease Conditions And Comorbidities

    公开(公告)号:US20170251985A1

    公开(公告)日:2017-09-07

    申请号:US15431550

    申请日:2017-02-13

    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.

    Task execution and delegation by autonomous mobile agents based on intent knowledge base
    14.
    发明授权
    Task execution and delegation by autonomous mobile agents based on intent knowledge base 有权
    基于意图知识库的自主移动代理的任务执行和授权

    公开(公告)号:US08789053B2

    公开(公告)日:2014-07-22

    申请号:US12099088

    申请日:2008-04-07

    Applicant: Newton Howard

    Inventor: Newton Howard

    CPC classification number: G06F9/4862 G06F8/10 G06F8/31 G06F9/5072

    Abstract: A Grid application framework uses semantic languages to describe the tasks and resources used to complete them. A Grid application execution framework comprises a plurality of mobile agents operable to execute one or more tasks described in an intent based task specification language, Input/Output circuitry operable to receive input that describes a task in the task specification language, an analysis engine for generating a solution to the described task, and an intent knowledge base operable to store information contained within tasks of the plurality of mobile agents.

    Abstract translation: 网格应用程序框架使用语义语言来描述用于完成它们的任务和资源。 网格应用执行框架包括可操作以执行在基于意图的任务指定语言中描述的一个或多个任务的多个移动代理,可操作以接收描述任务指定语言中的任务的输入的输入/输出电路,用于生成 所述任务的解决方案以及可操作以存储包含在所述多个移动代理的任务内的信息的意图知识库。

    METHOD FOR COGNITIVE COMPUTING
    15.
    发明申请
    METHOD FOR COGNITIVE COMPUTING 审中-公开
    认知计算方法

    公开(公告)号:US20120064493A1

    公开(公告)日:2012-03-15

    申请号:US13083352

    申请日:2011-04-08

    CPC classification number: G06F17/274

    Abstract: The model treats individual expression in terms of negative or positive reflection of the state of mind on the world, and captures the full range of moods and cognitive states by computationally modeling the notions of ‘mind axiology’ and ‘emotional state’.

    Abstract translation: 该模型以对世界心态的消极或积极反映来对待个人表达,并通过对“心理轴心学”和“情绪状态”的概念进行计算建模来捕捉全部情绪和认知状态。

    MEDICAL CO-PROCESSOR FOR SIGNALING PATTERN DECODING AND MANIPULATION OF CELLULAR STRUCTURES
    16.
    发明申请
    MEDICAL CO-PROCESSOR FOR SIGNALING PATTERN DECODING AND MANIPULATION OF CELLULAR STRUCTURES 审中-公开
    用于信号模式的医疗协同处理器解码和处理细胞结构

    公开(公告)号:US20110060377A1

    公开(公告)日:2011-03-10

    申请号:US12880042

    申请日:2010-09-10

    Applicant: Newton Howard

    Inventor: Newton Howard

    CPC classification number: A61N1/36071 A61B5/0482 A61N1/36014

    Abstract: Devices, methods and systems for affecting living tissues (brain, spinal stem) by neuronal querying, decoding responses, determining signaling patterns for direct delivery of a range of signals to the neural tissue in order to induce specific cell behaviors through intrusive and non-intrusive methods.

    Abstract translation: 用于通过神经元查询,解码反应,确定用于将一系列信号直接递送到神经组织的信号模式来影响活体组织(脑,脊髓干)的装置,方法和系统,以便通过侵入和非侵入性诱导特定的细胞行为 方法。

    EARLY DETECTION OF NEURODEGENERATIVE DISEASE
    19.
    发明公开

    公开(公告)号:US20230190158A1

    公开(公告)日:2023-06-22

    申请号:US17991298

    申请日:2022-11-21

    Applicant: Newton Howard

    Inventor: Newton Howard

    CPC classification number: A61B5/162 A61B5/165 A61B5/167

    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.

Patent Agency Ranking