EP4157089A4 - Messung und verstärkung von physiologischen/neurophysiologischen zuständen zur vorhersage überlegener leistung - Google Patents
Messung und verstärkung von physiologischen/neurophysiologischen zuständen zur vorhersage überlegener leistung Download PDFInfo
- Publication number
- EP4157089A4 EP4157089A4 EP21813613.3A EP21813613A EP4157089A4 EP 4157089 A4 EP4157089 A4 EP 4157089A4 EP 21813613 A EP21813613 A EP 21813613A EP 4157089 A4 EP4157089 A4 EP 4157089A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- physiological
- amplification
- measuring
- superior performance
- predict
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
- G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Medical Informatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Probability & Statistics with Applications (AREA)
- Psychology (AREA)
- Developmental Disabilities (AREA)
- Psychiatry (AREA)
- Child & Adolescent Psychology (AREA)
- Hospice & Palliative Care (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Social Psychology (AREA)
- Algebra (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202063029475P | 2020-05-24 | 2020-05-24 | |
| US202063051224P | 2020-07-13 | 2020-07-13 | |
| US202163142227P | 2021-01-27 | 2021-01-27 | |
| PCT/US2021/033902 WO2021242691A2 (en) | 2020-05-24 | 2021-05-24 | Measuring and strengthening physiological/neurophysiologial states predictive of superior performance |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP4157089A2 EP4157089A2 (de) | 2023-04-05 |
| EP4157089A4 true EP4157089A4 (de) | 2023-11-01 |
Family
ID=78745746
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP21813613.3A Withdrawn EP4157089A4 (de) | 2020-05-24 | 2021-05-24 | Messung und verstärkung von physiologischen/neurophysiologischen zuständen zur vorhersage überlegener leistung |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP4157089A4 (de) |
| CA (1) | CA3174397A1 (de) |
| WO (1) | WO2021242691A2 (de) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA3174382A1 (en) * | 2021-06-08 | 2022-12-08 | Beau ALBISTON | Measuring, strengthening, and adaptively responding to physiological/neurophysiological states |
| US12511691B2 (en) | 2021-06-08 | 2025-12-30 | Optios, Inc. | Optimization of trading performance using both brain state models and operational performance models |
| KR102368638B1 (ko) * | 2021-08-10 | 2022-02-25 | 최한철 | 인공지능 모델을 이용한 의사결정 방법, 서버 및 컴퓨터프로그램 |
| CN114343639B (zh) * | 2022-01-05 | 2024-04-12 | 北京理工大学 | 一种基于聚类-融合的脑电信号特征识别分析方法 |
| CN114461069A (zh) * | 2022-02-07 | 2022-05-10 | 上海图灵智算量子科技有限公司 | 一种基于量子cnn-lstm的情绪识别方法 |
| CN116168035B (zh) * | 2023-04-26 | 2023-06-30 | 首都医科大学附属北京天坛医院 | 一种脑熵的确定方法、系统、电子设备及存储介质 |
| CN119073989B (zh) * | 2024-05-31 | 2025-04-25 | 山东大学 | 基于皮电信号马尔可夫变迁场的压力状态评估方法及系统 |
| CN118948303B (zh) * | 2024-10-17 | 2025-02-07 | 中国科学院自动化研究所 | 一种脑力细粒度读取和解译的脑机接口装置 |
| CN120337128B (zh) * | 2025-03-31 | 2025-10-17 | 民航上海医院 | 一种基于lstm-mhsa算法和层级耦合框架的民航机组认知状态差异评估方法及系统 |
| CN120105073B (zh) * | 2025-05-07 | 2025-09-09 | 小舟科技有限公司 | 基于ai眼镜的个性化脑电模式识别方法、装置及设备 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090171942A1 (en) * | 2007-12-31 | 2009-07-02 | Bipin Suresh | Predicting and ranking search query results |
| US20150199010A1 (en) * | 2012-09-14 | 2015-07-16 | Interaxon Inc. | Systems and methods for collecting, analyzing, and sharing bio-signal and non-bio-signal data |
| US20160242690A1 (en) * | 2013-12-17 | 2016-08-25 | University Of Florida Research Foundation, Inc. | Brain state advisory system using calibrated metrics and optimal time-series decomposition |
| US20160302720A1 (en) * | 2007-04-05 | 2016-10-20 | New York University | System and Method for Pain Detection and Computation of a Pain Quantification Index |
| US20200008725A1 (en) * | 2018-07-05 | 2020-01-09 | Platypus Institute | Identifying and strengthening physiological/neurophysiological states predictive of superior performance |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8433660B2 (en) * | 2009-12-01 | 2013-04-30 | Microsoft Corporation | Managing a portfolio of experts |
| US9489636B2 (en) * | 2012-04-18 | 2016-11-08 | Tagasauris, Inc. | Task-agnostic integration of human and machine intelligence |
| US20160180234A1 (en) * | 2014-12-23 | 2016-06-23 | InsideSales.com, Inc. | Using machine learning to predict performance of an individual in a role based on characteristics of the individual |
-
2021
- 2021-05-24 WO PCT/US2021/033902 patent/WO2021242691A2/en not_active Ceased
- 2021-05-24 EP EP21813613.3A patent/EP4157089A4/de not_active Withdrawn
- 2021-05-24 CA CA3174397A patent/CA3174397A1/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160302720A1 (en) * | 2007-04-05 | 2016-10-20 | New York University | System and Method for Pain Detection and Computation of a Pain Quantification Index |
| US20090171942A1 (en) * | 2007-12-31 | 2009-07-02 | Bipin Suresh | Predicting and ranking search query results |
| US20150199010A1 (en) * | 2012-09-14 | 2015-07-16 | Interaxon Inc. | Systems and methods for collecting, analyzing, and sharing bio-signal and non-bio-signal data |
| US20160242690A1 (en) * | 2013-12-17 | 2016-08-25 | University Of Florida Research Foundation, Inc. | Brain state advisory system using calibrated metrics and optimal time-series decomposition |
| US20200008725A1 (en) * | 2018-07-05 | 2020-01-09 | Platypus Institute | Identifying and strengthening physiological/neurophysiological states predictive of superior performance |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021242691A2 (en) | 2021-12-02 |
| EP4157089A2 (de) | 2023-04-05 |
| CA3174397A1 (en) | 2021-12-02 |
| WO2021242691A3 (en) | 2021-12-30 |
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