SG10201811164SA - System and method for detection of mild cognitive impairment in subjects - Google Patents
System and method for detection of mild cognitive impairment in subjectsInfo
- Publication number
- SG10201811164SA SG10201811164SA SG10201811164SA SG10201811164SA SG 10201811164S A SG10201811164S A SG 10201811164SA SG 10201811164S A SG10201811164S A SG 10201811164SA SG 10201811164S A SG10201811164S A SG 10201811164SA
- Authority
- SG
- Singapore
- Prior art keywords
- detection
- subjects
- mild cognitive
- data
- mci
- Prior art date
Links
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
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
- A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
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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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4058—Detecting, measuring or recording for evaluating the nervous system for evaluating the central nervous system
- A61B5/4064—Evaluating the brain
-
- 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
- A61B5/7232—Signal processing specially adapted for physiological signals or for diagnostic purposes involving compression of the physiological signal, e.g. to extend the signal recording period
-
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
-
- 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Neurology (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Physiology (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Data Mining & Analysis (AREA)
- Psychiatry (AREA)
- Psychology (AREA)
- Neurosurgery (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Hospice & Palliative Care (AREA)
- Developmental Disabilities (AREA)
- Child & Adolescent Psychology (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
SYSTEM AND METHOD FOR DETECTION OF MILD COGNITIVE IMPAIRMENT IN SUBJECTS This disclosure relates generally to detection of mild cognitive impairments in subjects. The method and system proposed provides a continuous/seamless monitoring platform for MCI detection in subjects by continuously monitoring routine activities of subjects (Activities of Daily Living (ADL)) in a smart environment using plurality of passive, unobtrusive, binary, unobtrusive non-intrusive sensors embedded in living infrastructure. The proposed method and system detects symptoms of MCI at the onset of the disease, while also addressing issue of sensor failures that causes gaps in the data. The collected sensor data is pre-processed in several stages which includes which includes pre-processing of sensor data, behavior deviation detection, and abnormality detection and so on. Further, the disclosure also proposes an autoencoder based technique, to reduce the dimension of the data to find personalized deviations in behavior of a subject which is used to detect if a subject could be a potential case ofMCI. [To be published with FIG. ] 23
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| IN201821007810 | 2018-03-01 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| SG10201811164SA true SG10201811164SA (en) | 2019-10-30 |
Family
ID=64023918
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| SG10201811164S SG10201811164SA (en) | 2018-03-01 | 2018-12-13 | System and method for detection of mild cognitive impairment in subjects |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US11445973B2 (en) |
| EP (1) | EP3534374B1 (en) |
| JP (1) | JP6774483B2 (en) |
| SG (1) | SG10201811164SA (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6994812B2 (en) * | 2019-04-23 | 2022-01-14 | Kddi株式会社 | Programs, devices and methods that complement missing values in time-series measurements of multiple sensors |
| CN112168142B (en) * | 2020-09-28 | 2021-10-15 | 成都中医药大学 | Dysmenorrhea traditional Chinese medicine syndrome differentiation system based on DAELA-LSTM neural network |
| CN113297801B (en) * | 2021-06-15 | 2022-10-14 | 哈尔滨工程大学 | Marine environment element prediction method based on STEOF-LSTM |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7855650B2 (en) * | 2008-04-15 | 2010-12-21 | The General Electric Company | System and method for monitoring the cognitive ability of a person |
| US9629543B2 (en) * | 2009-03-17 | 2017-04-25 | Emory University | Internet-based cognitive diagnostics using visual paired comparison task |
| US20130218053A1 (en) * | 2010-07-09 | 2013-08-22 | The Regents Of The University Of California | System comprised of sensors, communications, processing and inference on servers and other devices |
| JP6313730B2 (en) * | 2015-04-10 | 2018-04-18 | タタ コンサルタンシー サービシズ リミテッドＴＡＴＡ Ｃｏｎｓｕｌｔａｎｃｙ Ｓｅｒｖｉｃｅｓ Ｌｉｍｉｔｅｄ | Anomaly detection system and method |
| US10896756B2 (en) * | 2015-04-21 | 2021-01-19 | Washington State University | Environmental sensor-based cognitive assessment |
| JP2017117423A (en) * | 2015-12-17 | 2017-06-29 | 日本ロジックス株式会社 | Watching system and watching method |
| WO2017191697A1 (en) * | 2016-05-02 | 2017-11-09 | パナソニックＩｐマネジメント株式会社 | Dementia information output system and control program |
-
2018
- 2018-10-10 EP EP18199515.0A patent/EP3534374B1/en active Active
- 2018-10-10 US US16/156,971 patent/US11445973B2/en active Active
- 2018-12-13 SG SG10201811164S patent/SG10201811164SA/en unknown
- 2018-12-26 JP JP2018243748A patent/JP6774483B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| EP3534374B1 (en) | 2021-04-14 |
| JP6774483B2 (en) | 2020-10-21 |
| JP2019162408A (en) | 2019-09-26 |
| EP3534374A1 (en) | 2019-09-04 |
| US11445973B2 (en) | 2022-09-20 |
| US20190269360A1 (en) | 2019-09-05 |
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