KR102258726B9 - 딥러닝을 이용한 수면질환 자동 판정을 위한 데이터 처리 장치 및 그 동작 방법 - Google Patents
딥러닝을 이용한 수면질환 자동 판정을 위한 데이터 처리 장치 및 그 동작 방법Info
- Publication number
- KR102258726B9 KR102258726B9 KR20190098257A KR20190098257A KR102258726B9 KR 102258726 B9 KR102258726 B9 KR 102258726B9 KR 20190098257 A KR20190098257 A KR 20190098257A KR 20190098257 A KR20190098257 A KR 20190098257A KR 102258726 B9 KR102258726 B9 KR 102258726B9
- Authority
- KR
- South Korea
- Prior art keywords
- data processing
- same
- deep learning
- automatic determination
- sleeping condition
- Prior art date
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4812—Detecting sleep stages or cycles
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- 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]
-
- 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
- A61B5/389—Electromyography [EMG]
-
- 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
- A61B5/398—Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
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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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Pathology (AREA)
- Psychiatry (AREA)
- Artificial Intelligence (AREA)
- Physiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Ophthalmology & Optometry (AREA)
- Psychology (AREA)
- Evolutionary Computation (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (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)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020190098257A KR102258726B1 (ko) | 2019-08-12 | 2019-08-12 | 딥러닝을 이용한 수면질환 자동 판정을 위한 데이터 처리 장치 및 그 동작 방법 |
US16/744,331 US11464445B2 (en) | 2019-08-12 | 2020-01-16 | Data processing apparatus for automatically determining sleep disorder using deep learning and operation method of the data processing apparatus |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020190098257A KR102258726B1 (ko) | 2019-08-12 | 2019-08-12 | 딥러닝을 이용한 수면질환 자동 판정을 위한 데이터 처리 장치 및 그 동작 방법 |
Publications (3)
Publication Number | Publication Date |
---|---|
KR20210019273A KR20210019273A (ko) | 2021-02-22 |
KR102258726B1 KR102258726B1 (ko) | 2021-06-01 |
KR102258726B9 true KR102258726B9 (ko) | 2021-10-15 |
Family
ID=74568130
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
KR1020190098257A KR102258726B1 (ko) | 2019-08-12 | 2019-08-12 | 딥러닝을 이용한 수면질환 자동 판정을 위한 데이터 처리 장치 및 그 동작 방법 |
Country Status (2)
Country | Link |
---|---|
US (1) | US11464445B2 (ko) |
KR (1) | KR102258726B1 (ko) |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
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CN111407261B (zh) * | 2020-03-31 | 2024-05-21 | 京东方科技集团股份有限公司 | 生物信号的周期信息的测量方法及装置、电子设备 |
EP3906853A1 (en) * | 2020-05-05 | 2021-11-10 | Withings | Method and device to determine sleep apnea of a user |
KR102476801B1 (ko) * | 2020-07-22 | 2022-12-09 | 조선대학교산학협력단 | 2차원 근전도 스펙트로그램 이미지를 이용한 사용자 인식 방법 및 장치 |
KR102493239B1 (ko) | 2021-03-25 | 2023-01-30 | (주)나연테크 | 수면단계 분석 시스템 및 방법 |
KR102526181B1 (ko) * | 2021-05-11 | 2023-04-25 | 한림대학교 산학협력단 | 다채널의 생체 신호들을 포함하는 이미지를 기반으로 수면 단계를 분류하는 전자 장치, 및 수면 단계 분류 방법 |
CN113576410B (zh) * | 2021-07-20 | 2022-09-02 | 电子科技大学 | 一种入睡过程动态连续分析方法 |
CN113729732B (zh) * | 2021-09-06 | 2022-11-08 | 上海觉觉健康科技有限公司 | 基于eeg信号的睡眠质量监测系统及方法 |
CN114052662B (zh) * | 2021-11-11 | 2023-08-08 | 四川省医学科学院·四川省人民医院 | 一种结合大脑、小脑脑电和肌电整合分析睡眠分期的方法 |
KR102630547B1 (ko) * | 2021-11-17 | 2024-01-29 | 가톨릭대학교 산학협력단 | 사용자 상태 진단을 위한 진단 정보 제공 방법 및 이를 수행하는 장치 |
KR102637471B1 (ko) | 2021-11-30 | 2024-02-16 | (주)허니냅스 | 수면다원검사에 따른 호흡 이벤트 감지를 위한 데이터 처리 장치 및 그 동작 방법 |
KR102637472B1 (ko) | 2021-11-30 | 2024-02-16 | (주)허니냅스 | 수면다원검사에 따른 호흡 이벤트 구간을 감지하기 위한 데이터 처리 장치 및 그 동작 방법 |
KR102637473B1 (ko) | 2021-11-30 | 2024-02-16 | (주)허니냅스 | 수면다원검사에 따른 rera 구간을 감지하기 위한 데이터 처리 장치 및 그 동작 방법 |
KR20230107460A (ko) | 2022-01-08 | 2023-07-17 | 광운대학교 산학협력단 | 안대형 수면측정장치를 이용한 ai 수면장애 관리 시스템 및 이를 이용한 수면장애 관리방법 |
CN114533084B (zh) * | 2022-02-09 | 2023-07-14 | 北京师范大学 | 脑电特征提取方法、装置、电子设备和存储介质 |
WO2023239460A1 (en) * | 2022-06-09 | 2023-12-14 | Georgia Tech Research Corporation | Soft wireless wearable sensor system and method for detecting sleep quality and disorders |
KR20240012168A (ko) * | 2022-07-20 | 2024-01-29 | 한양대학교 산학협력단 | 소량의 레이블을 이용한 자기지도학습 기반의 수면 단계 분류 모델 학습 방법 및 시스템 |
CN115429293B (zh) * | 2022-11-04 | 2023-04-07 | 之江实验室 | 一种基于脉冲神经网络的睡眠类型分类方法和装置 |
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WO2006121455A1 (en) | 2005-05-10 | 2006-11-16 | The Salk Institute For Biological Studies | Dynamic signal processing |
US7684856B2 (en) * | 2005-12-12 | 2010-03-23 | General Electric Company | Detection of artifacts in bioelectric signals |
WO2012018157A1 (ko) * | 2010-08-01 | 2012-02-09 | 연세대학교 산학협력단 | 생체신호 기반 자동 수면단계 분류시스템 |
US20150126821A1 (en) * | 2012-06-12 | 2015-05-07 | Technical University Of Denmark | Support System And Method For Detecting Neurodegenerative Disorder |
US10470719B2 (en) * | 2016-02-01 | 2019-11-12 | Verily Life Sciences Llc | Machine learnt model to detect REM sleep periods using a spectral analysis of heart rate and motion |
US11020035B2 (en) * | 2016-02-01 | 2021-06-01 | Epitel, Inc. | Self-contained EEG recording system |
SG10201608507PA (en) * | 2016-10-11 | 2018-05-30 | Nat Univ Singapore | Determining Sleep Stages |
US11123009B2 (en) * | 2017-12-21 | 2021-09-21 | Koninklijke Philips N.V. | Sleep stage prediction and intervention preparation based thereon |
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2019
- 2019-08-12 KR KR1020190098257A patent/KR102258726B1/ko active IP Right Review Request
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2020
- 2020-01-16 US US16/744,331 patent/US11464445B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
US11464445B2 (en) | 2022-10-11 |
US20210045675A1 (en) | 2021-02-18 |
KR102258726B1 (ko) | 2021-06-01 |
KR20210019273A (ko) | 2021-02-22 |
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