WO2018106146A3 - Способ и система неинвазивной скрининговой оценки физиологических параметров и патологий - Google Patents
Способ и система неинвазивной скрининговой оценки физиологических параметров и патологий Download PDFInfo
- Publication number
- WO2018106146A3 WO2018106146A3 PCT/RU2017/000868 RU2017000868W WO2018106146A3 WO 2018106146 A3 WO2018106146 A3 WO 2018106146A3 RU 2017000868 W RU2017000868 W RU 2017000868W WO 2018106146 A3 WO2018106146 A3 WO 2018106146A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- patient
- physiological parameters
- patients
- pathologies
- parameters
- Prior art date
Links
- 230000007170 pathology Effects 0.000 title abstract 6
- 238000000034 method Methods 0.000 title abstract 3
- 238000012216 screening Methods 0.000 title abstract 2
- 230000000747 cardiac effect Effects 0.000 abstract 4
- 238000013528 artificial neural network Methods 0.000 abstract 2
- 239000003814 drug Substances 0.000 abstract 2
- 230000001419 dependent effect Effects 0.000 abstract 1
- 230000004217 heart function Effects 0.000 abstract 1
- 230000001537 neural effect Effects 0.000 abstract 1
- 230000003449 preventive effect Effects 0.000 abstract 1
- 238000004088 simulation Methods 0.000 abstract 1
Classifications
-
- 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
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
- A61B5/346—Analysis of electrocardiograms
- A61B5/349—Detecting specific parameters of the electrocardiograph cycle
-
- 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
- A61B5/25—Bioelectric electrodes therefor
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Cardiology (AREA)
- Medical Informatics (AREA)
- Surgery (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Pathology (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
Изобретение относится к области вычислительной техники в медицине, а именно к способам и системам скрининговой диагностики различных патологий и определению физиологических параметров человека, и может быть использовано в области предиктивной, диагностической, профилактической и реабилитационной медицины. В способе формируют обучающую и тестовую выборку записей пациентов, имеющих заданную патологию или физиологические параметры, зависящие от сердечной деятельности пациентов, включающие записи о пациентах разного пола и возраста, причем каждая запись содержит, по крайней мере, одно кардиологическое отведение ЭКГ-сигнала и информацию о пациенте; рассчитывают параметры вариабельности сердечного ритма и усредненного кардиоцикла; обучают искусственную нейронную сеть выявлению заданной патологии; сохраняют связи и веса обученной искусственной нейронной сети; получают по крайней мере, одно кардиологическое отведение ЭКГ-сигнала и информацию о пациенте; рассчитывают параметры вариабельности сердечного ритма и усредненного кардиоцикла; и определяют физиологические параметры или наличие заданной патологии. Изобретение направлено на повышение точности выявления патологий или значений физиологических параметров у пациента на базе нейросетевого моделирования.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
RU2016146176A RU2657384C2 (ru) | 2016-11-24 | 2016-11-24 | Способ и система неинвазивной скрининговой оценки физиологических параметров и патологий |
RU2016146176 | 2016-11-24 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2018106146A2 WO2018106146A2 (ru) | 2018-06-14 |
WO2018106146A3 true WO2018106146A3 (ru) | 2018-08-16 |
Family
ID=62202248
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/RU2017/000868 WO2018106146A2 (ru) | 2016-11-24 | 2017-11-21 | Способ и система неинвазивной скрининговой оценки физиологических параметров и патологий |
Country Status (2)
Country | Link |
---|---|
RU (1) | RU2657384C2 (ru) |
WO (1) | WO2018106146A2 (ru) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR3102591B1 (fr) * | 2019-10-24 | 2022-10-07 | A Tiny Wave | Prédiction d’état et commande d’un dispositif en fonction d’un état estimé |
CN110811591A (zh) * | 2019-10-31 | 2020-02-21 | 太原理工大学 | 一种基于心率变异性的心力衰竭分级方法 |
CN112022144B (zh) * | 2020-09-09 | 2022-05-24 | 生物岛实验室 | 心电异常检测网络训练方法、心电异常预警方法及装置 |
CN112401903B (zh) * | 2020-11-03 | 2023-12-22 | 沈阳东软智能医疗科技研究院有限公司 | 心电数据的识别方法、装置、存储介质和电子设备 |
RU2761741C1 (ru) * | 2020-11-26 | 2021-12-13 | Открытое акционерное общество "НПО "Геофизика-НВ" | Способ неинвазивного определения биофизических сигналов |
CN115281676B (zh) * | 2022-10-08 | 2023-01-31 | 齐鲁工业大学 | 基于gru神经网络和ecg信号的疲劳检测方法 |
CN115316985B (zh) * | 2022-10-13 | 2023-04-18 | 华南师范大学 | 基于生理信号的心脏信息检测方法、装置以及设备 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU82536U1 (ru) * | 2008-11-19 | 2009-05-10 | Виктор Анатольевич Монич | Медико-биологический комплекс для дистанционного мониторинга физиологических параметров |
US20140194702A1 (en) * | 2006-05-12 | 2014-07-10 | Bao Tran | Health monitoring appliance |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100748184B1 (ko) * | 2005-05-11 | 2007-08-10 | 인하대학교 산학협력단 | 신경망을 이용한 심전도 기반의 심장질환 진단장치 및방법 |
US8725243B2 (en) * | 2005-12-28 | 2014-05-13 | Cyberonics, Inc. | Methods and systems for recommending an appropriate pharmacological treatment to a patient for managing epilepsy and other neurological disorders |
US11229790B2 (en) * | 2013-01-15 | 2022-01-25 | Electrocore, Inc. | Mobile phone for treating a patient with seizures |
WO2014205310A2 (en) * | 2013-06-21 | 2014-12-24 | The Board Of Trustees Of The Leland Stanford Junior University | Techniques for predicting cardiac arrhythmias based on signals from leads of electrocardiography |
US9459201B2 (en) * | 2014-09-29 | 2016-10-04 | Zyomed Corp. | Systems and methods for noninvasive blood glucose and other analyte detection and measurement using collision computing |
-
2016
- 2016-11-24 RU RU2016146176A patent/RU2657384C2/ru active
-
2017
- 2017-11-21 WO PCT/RU2017/000868 patent/WO2018106146A2/ru active Application Filing
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140194702A1 (en) * | 2006-05-12 | 2014-07-10 | Bao Tran | Health monitoring appliance |
RU82536U1 (ru) * | 2008-11-19 | 2009-05-10 | Виктор Анатольевич Монич | Медико-биологический комплекс для дистанционного мониторинга физиологических параметров |
Also Published As
Publication number | Publication date |
---|---|
WO2018106146A2 (ru) | 2018-06-14 |
RU2016146176A (ru) | 2018-05-24 |
RU2016146176A3 (ru) | 2018-05-24 |
RU2657384C2 (ru) | 2018-06-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2018106146A3 (ru) | Способ и система неинвазивной скрининговой оценки физиологических параметров и патологий | |
Rovini et al. | How wearable sensors can support Parkinson's disease diagnosis and treatment: a systematic review | |
JP6799536B2 (ja) | 加速度計を用いるウェアラブル痛みモニタ | |
JP2021516080A (ja) | 生体振動および無線周波数のデータ分析に基づく生理的状態のモニタリング | |
Jafari Tadi et al. | Accelerometer‐Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging | |
Ludwig et al. | Measurement, prediction, and control of individual heart rate responses to exercise—Basics and options for wearable devices | |
JP2018500982A5 (ru) | ||
Vitikainen et al. | Accelerometer-based automatic voice onset detection in speech mapping with navigated repetitive transcranial magnetic stimulation | |
US20190117106A1 (en) | Protocol and signatures for the multimodal physiological stimulation and assessment of traumatic brain injury | |
Vakulenkoa et al. | New application of blood pressure monitor with software environment Oranta-AO based on arterial oscillography methods | |
KR102235716B1 (ko) | 가상현실을 이용한 학습장애 진단/치유장치, 및 그 방법 | |
Al Younis et al. | Non-invasive technologies for heart failure, systolic and diastolic dysfunction modeling: A scoping review | |
Yiu et al. | Fatigue-Related change in surface electromyographic activities of the perilaryngeal muscles | |
Bicen et al. | Improved pre-ejection period estimation from ballistocardiogram and electrocardiogram signals by fusing multiple timing interval features | |
JP2018175795A (ja) | 使役犬による作業の効率を向上させるための方法およびシステム | |
EP4368105A1 (en) | Method for generating synchronous electrocardiograms on basis of two lead asynchronous electrocardiograms | |
Martyniuk et al. | Assessment of the adaptive potential of students of the first course of a technical university | |
EP4367609A1 (en) | Integrative system and method for performing medical diagnosis using artificial intelligence | |
Grecheneva et al. | The algorithm for express-analysis of human functional systems considering of the goniometric control data | |
TW202004773A (zh) | 診斷認知功能以提供體適能矯正方案之系統及方法 | |
Kumar | Automatic heart sound analysis for cardiovascular disease assessment | |
Yuliang et al. | Quantized analysis for heart valve disease based on cardiac sound characteristic waveform method | |
Hamdan et al. | Determining cardiac vagal threshold from short term heart rate complexity | |
US20240008813A1 (en) | Smart wearable device and method for estimating traditional medicine system parameters | |
US20240225514A1 (en) | Synchronous electrocardiograms created apparatus using two lead asynchronous electrocardiograms |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 17877476 Country of ref document: EP Kind code of ref document: A2 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
32PN | Ep: public notification in the ep bulletin as address of the adressee cannot be established |
Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 20/09/2019) |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 17877476 Country of ref document: EP Kind code of ref document: A2 |