CN114190954A - Patient cognitive function assessment method and system - Google Patents
Patient cognitive function assessment method and system Download PDFInfo
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- CN114190954A CN114190954A CN202111588845.3A CN202111588845A CN114190954A CN 114190954 A CN114190954 A CN 114190954A CN 202111588845 A CN202111588845 A CN 202111588845A CN 114190954 A CN114190954 A CN 114190954A
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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]
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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]
- A61B5/377—Electroencephalography [EEG] using evoked responses
- A61B5/378—Visual stimuli
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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]
- A61B5/377—Electroencephalography [EEG] using evoked responses
- A61B5/38—Acoustic or auditory stimuli
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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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- 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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/08—Elderly
Abstract
The invention provides a method and a system for evaluating cognitive function of a patient, relating to the technical field of cognitive function evaluation and comprising the following steps: s1: acquiring data information in an activity scene through cognitive equipment, and performing significant feature extraction on the data information to generate feature marks; s2: establishing a mapping relation between the feature marks and the extracted data information, and automatically generating and storing memory information in a database; s3: inputting the information of the search memory data associated with the patient; s4: and detecting brain wave signals when the patient passively receives a preset evaluation flow according to the search memory data information so as to evaluate the cognitive function of the patient. The method can evaluate the cognitive function of the old with cognitive defects or the patients after the operation, thereby evaluating and training the cognitive function of the patients in time.
Description
Technical Field
The invention relates to the technical field of cognitive function assessment, in particular to a method and a system for assessing cognitive functions of patients.
Background
With the development of human society, many countries have entered or are entering the elderly society. Therefore, the incidence of cognitive deficiency diseases is higher and the population suffering from the diseases is larger, which has become a great threat to human health.
At present, cognitive deficits mainly include: sensory deficit, memory deficit, thought deficit, and the like, such as but not limited to: attention Deficit and Hyperactivity Disorder (ADHD), Traumatic Brain Injury (TBI), prion disease dementia, Parkinson's disease, cerebral amyloid angiopathy, Huntington's disease or other neurodegenerative disorders, autism spectrum impairment (ASD), Sensory Processing Deficits (SPD), Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), schizophrenia, depression, anxiety, learning or memory deficits, adult attention deficits, aphasia, agnosia, and the like.
According to research, Alzheimer's Disease (AD), commonly known as senile dementia, has become one of the third major disease killers of the elderly after heart disease and cancer. Mild Cognitive Impairment (MCI) is an early state of AD, due to its irreversibility and the rise in disease population year by year. Patients who have undergone surgery may also have a problem of postoperative cognitive function deficiency, and thus it is particularly important to evaluate and train early cognitive deficiency in the elderly and cognitive function of the patients after surgery.
Disclosure of Invention
The invention solves the problem of how to evaluate the cognitive function of the old with cognitive defects or the patients after operation, thereby evaluating and training the cognitive function of the patients in time.
In order to solve the above problems, the present invention provides a method for evaluating cognitive function of a patient, comprising the steps of: s1: acquiring data information in an activity scene through cognitive equipment, and extracting significant features of the data information to generate feature marks;
s2: establishing a mapping relation between the characteristic mark and the extracted data information, and automatically generating and storing memory information in a database;
s3: inputting the information of the search memory data associated with the patient;
s4: detecting brain wave signals when the patient passively receives a preset evaluation flow according to the search memory data information so as to evaluate the cognitive function of the patient;
s5: and evaluating the cognitive task of interactive operation of the patient when receiving the stimulation signal according to the preset evaluation flow so as to obtain the state information of cognitive recovery of the patient after the operation.
In the method, data information in an activity scene is collected through cognitive equipment; the cognitive device is used for collecting data in a scene of human activity, in the collecting process, the collected content is various, the scene environment information, the surrounding human information, the auditory information, the visual information and the like exist, the human information which continuously appears back and forth exists in the scene, and in the information collecting process, each kind of information is combined together according to the sequence of time points to form integral data information.
In the method, the significant features of the collected scene data information are extracted to generate feature marks; in the method, the acquired data information is subjected to the marked data extraction of the mark information of the scene by combining a marked method and an automatic semantic image or information shape segmentation method to generate a special mark of the scene activity, the marked method and the automatic semantic image segmentation method can be used for directly completing or completing the data extraction to generate the mark, and the marked method and the automatic semantic image segmentation method are mainly used for realizing the perception of human organs in the vision of eyes, the hearing of ears and the like according to the perception degree of human senses, human perception relations and the like; the significance is the attention of checking human sense organs; if the movement of human eyes is detected, the occurrence of the significant objects sensed by the human eyes is stopped. After the salient object and the feeling are determined, the salient object and the feeling are segmented by a computer semantic image and identified by a computer semantic signal. Or by other artificial intelligence tagging methods.
In the method, by providing a preset evaluation procedure, the stimulation in the preset evaluation procedure is a visual stimulation and/or an auditory stimulation; and displaying a preset evaluation flow to the postoperative patient, and detecting brain wave signals when the postoperative patient passively receives visual stimulation and/or auditory stimulation so as to evaluate the cognitive function of the postoperative patient.
Further, the preset evaluation process in step S4 includes:
s41: grouping the plurality of first stimulation signals into a first stimulation group;
s42: periodically presenting the first stimulation cohort to a patient by a stimulation presentation device, wherein the first stimulation signal is a visual stimulation signal.
Further, the preset evaluation process in step S4 further includes:
s43: grouping the plurality of second stimulation signals into a second stimulation group;
s44: periodically presenting the second stimulation group to the patient by a stimulation presentation device, wherein the second stimulation signal is an auditory stimulation signal.
Further, the step S5 includes:
s51: when the patient receives the signals of the first stimulation group, interactive feedback is carried out to obtain first brain wave feedback signals, and state information of postoperative vision recovery of the patient is obtained according to the first brain wave feedback signals;
s52: and performing interactive feedback when the patient receives the signals of the second stimulation group to obtain a second brain wave feedback signal, and obtaining the state information of the hearing recovery of the patient after the operation according to the second brain wave feedback signal.
A patient cognitive function assessment system comprising:
a feature extraction module: acquiring data information in an activity scene through cognitive equipment, and extracting significant features of the data information to generate feature marks;
a generation module: the mapping relation is established between the characteristic mark and the extracted data information, and memory information is automatically generated in a database and stored;
an input module: for inputting patient-associated look-up memory data information;
a detection module: the brain wave detection module is used for detecting brain wave signals when the patient passively receives a preset evaluation flow according to the search memory data information so as to evaluate the cognitive function of the patient;
an evaluation module: and the cognitive task used for evaluating the interactive operation of the patient when receiving the stimulation signal according to the preset evaluation flow so as to obtain the state information of the cognitive recovery of the patient after the operation.
Further, the preset evaluation process in the detection module includes:
a first combination unit: for grouping the plurality of first stimulation signals into a first stimulation group;
the first display unit: for periodically presenting the first group of stimuli to a patient by a stimulus presentation device, wherein the first stimulus signal is a visual stimulus signal.
Further, the preset evaluation process in the detection module further includes:
a second combination unit: for grouping a plurality of second stimulation signals into a second stimulation group;
a second display unit: for periodically presenting the second stimulation group to the patient by a stimulation presentation device, wherein the second stimulation signal is an auditory stimulation signal.
Further, the evaluation module comprises:
a visual evaluation unit: when the patient receives the signals of the first stimulation group, interactive feedback is carried out to obtain first brain wave feedback signals, and state information of postoperative vision recovery of the patient is obtained according to the first brain wave feedback signals;
a hearing evaluation unit: and performing interactive feedback when the patient receives the signals of the second stimulation group to obtain a second brain wave feedback signal, and obtaining the state information of the hearing recovery of the patient after the operation according to the second brain wave feedback signal.
The technical scheme adopted by the invention has the following beneficial effects:
according to the invention, the early cognitive impairment of the elderly or the cognitive function of the postoperative patient can be evaluated in real time through a preset evaluation flow, the cognitive function of the patient is evaluated and trained in time, so that the cognitive function of the patient is prevented from being damaged by excessive operation, the evaluation result truly reflects the early cognitive impairment degree of the elderly and the state information of the postoperative cognitive recovery of the patient, and the early cognitive impairment of the elderly and the postoperative cognitive recovery of the patient are effectively monitored in time.
Drawings
FIG. 1 is a flowchart illustrating a first method for evaluating cognitive function of a patient according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for evaluating cognitive function of a patient according to a first embodiment of the present invention;
FIG. 3 is a diagram of a first system for evaluating cognitive function of a patient according to a second embodiment of the present invention;
fig. 4 is a structural diagram of a patient cognitive function assessment system according to a second embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
The following are specific embodiments of the present invention and are further described with reference to the drawings, but the present invention is not limited to these embodiments.
Example one
The embodiment provides a method for evaluating cognitive function of a patient, as shown in fig. 1 and fig. 2, the method comprises the following steps:
s1: acquiring data information in an activity scene through cognitive equipment, and performing significant feature extraction on the data information to generate feature marks;
s2: establishing a mapping relation between the feature marks and the extracted data information, and automatically generating and storing memory information in a database;
s3: inputting the information of the search memory data associated with the patient;
s4: detecting brain wave signals when the patient passively receives a preset evaluation flow according to the searched memory data information so as to evaluate the cognitive function of the patient;
s5: and evaluating the cognitive task of interactive operation of the patient when receiving the stimulation signal according to a preset evaluation flow so as to obtain the state information of cognitive recovery of the patient after the operation.
Specifically, data information in an activity scene is collected through cognitive equipment; the cognitive device is used for collecting data in a scene of human activity, in the collecting process, the collected content is various, the scene environment information, the surrounding human information, the auditory information, the visual information and the like exist, the human information which continuously appears back and forth exists in the scene, and in the information collecting process, each kind of information is combined together according to the sequence of time points to form integral data information.
Specifically, the method comprises the steps of extracting significant features of collected scene data information to generate feature marks; in the method, the acquired data information is subjected to the marked data extraction of the mark information of the scene by combining a marked method and an automatic semantic image or information shape segmentation method to generate a special mark of the scene activity, the marked method and the automatic semantic image segmentation method can be used for directly completing or completing the data extraction to generate the mark, and the marked method and the automatic semantic image segmentation method are mainly used for realizing the perception of human organs in the vision of eyes, the hearing of ears and the like according to the perception degree of human senses, human perception relations and the like; the significance is the attention of checking human sense organs; if the movement of human eyes is detected, the occurrence of the significant objects sensed by the human eyes is stopped. After the salient object and the feeling are determined, the salient object and the feeling are segmented by a computer semantic image and identified by a computer semantic signal. Or by other artificial intelligence tagging methods.
Specifically, a preset evaluation flow is provided, and the stimulation in the preset evaluation flow is visual stimulation and/or auditory stimulation; and displaying a preset evaluation flow to the postoperative patient, and detecting brain wave signals when the postoperative patient passively receives visual stimulation and/or auditory stimulation so as to evaluate the cognitive function of the postoperative patient.
In step S4, the preset evaluation process includes:
s41: grouping the plurality of first stimulation signals into a first stimulation group;
s42: the first stimulation group is periodically presented to the patient by the stimulation presentation device, wherein the first stimulation signal is a visual stimulation signal.
In step S4, the preset evaluation flow further includes:
s43: grouping the plurality of second stimulation signals into a second stimulation group;
s44: the second stimulation group is periodically presented to the patient by the stimulation presentation device, wherein the second stimulation signal is an auditory stimulation signal.
Wherein, step S5 includes:
s51: when the patient receives the signals of the first stimulation group, interactive feedback is carried out to obtain first brain wave feedback signals, and state information of postoperative vision recovery of the patient is obtained according to the first brain wave feedback signals;
s52: and performing interactive feedback when the patient receives the signals of the second stimulation group to obtain a second brain wave feedback signal, and obtaining the state information of the hearing recovery of the patient after the operation according to the second brain wave feedback signal.
The method can evaluate the early cognitive defects of the elderly or the cognitive functions of the patients after the operation in real time through a preset evaluation flow, timely evaluate and train the cognitive functions of the patients so as to avoid the damage of excessive operation on the cognitive functions of the patients, truly reflect the early cognitive defect degree of the elderly and the cognitive recovery state information of the patients after the operation, and timely and effectively monitor the early cognitive defects of the elderly and the cognitive recovery conditions of the patients after the operation.
Example two
This embodiment provides a system for evaluating cognitive function of a patient, as shown in fig. 3 and 4, the system includes:
a feature extraction module: acquiring data information in an activity scene through cognitive equipment, and performing significant feature extraction on the data information to generate feature marks;
a generation module: the mapping relation is established between the characteristic mark and the extracted data information, and memory information is automatically generated in a database and stored;
an input module: for inputting patient-associated look-up memory data information;
a detection module: the brain wave detection device is used for detecting brain wave signals when the patient passively receives a preset evaluation flow according to the searched memory data information so as to evaluate the cognitive function of the patient;
an evaluation module: and the cognitive task evaluation module is used for evaluating the cognitive task of interactive operation of the patient when receiving the stimulation signal according to a preset evaluation flow so as to obtain the state information of cognitive recovery of the patient after the operation.
Wherein, predetermine the evaluation flow in the detection module and include:
a first combination unit: for grouping the plurality of first stimulation signals into a first stimulation group;
the first display unit: for periodically presenting a first group of stimuli to the patient by the stimulus presentation device, wherein the first stimulus signal is a visual stimulus signal.
Wherein, predetermine the evaluation flow in the detection module and still include:
a second combination unit: for grouping a plurality of second stimulation signals into a second stimulation group;
a second display unit: for periodically presenting a second stimulation group to the patient by the stimulation presentation device, wherein the second stimulation signal is an auditory stimulation signal.
Wherein, the evaluation module includes:
a visual evaluation unit: when the patient receives the signals of the first stimulation group, interactive feedback is carried out to obtain first brain wave feedback signals, and state information of postoperative vision recovery of the patient is obtained according to the first brain wave feedback signals;
a hearing evaluation unit: and performing interactive feedback when the patient receives the signals of the second stimulation group to obtain a second brain wave feedback signal, and obtaining the state information of the hearing recovery of the patient after the operation according to the second brain wave feedback signal.
The early cognitive defect of the old or the cognitive function of the patient after the operation can be evaluated in real time through the preset evaluation flow in the detection module, the cognitive function of the patient is evaluated and trained in time, so that the cognitive function of the patient is prevented from being damaged by excessive operation, the evaluation result truly reflects the early cognitive defect degree of the old and the state information of the cognitive recovery of the patient after the operation, and the early cognitive defect of the old and the cognitive recovery of the patient after the operation are effectively monitored in time.
Although the present disclosure has been described above, the scope of the present disclosure is not limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present disclosure, and such changes and modifications will fall within the scope of the present invention.
Claims (8)
1. A method for assessing cognitive function in a patient, comprising the steps of:
s1: acquiring data information in an activity scene through cognitive equipment, and extracting significant features of the data information to generate feature marks;
s2: establishing a mapping relation between the characteristic mark and the extracted data information, and automatically generating and storing memory information in a database;
s3: inputting the information of the search memory data associated with the patient;
s4: detecting brain wave signals when the patient passively receives a preset evaluation flow according to the search memory data information so as to evaluate the cognitive function of the patient;
s5: and evaluating the cognitive task of interactive operation of the patient when receiving the stimulation signal according to the preset evaluation flow so as to obtain the state information of cognitive recovery of the patient after the operation.
2. The method for assessing cognitive function of a patient according to claim 1, wherein the predetermined assessment process of step S4 comprises:
s41: grouping the plurality of first stimulation signals into a first stimulation group;
s42: periodically presenting the first stimulation cohort to a patient by a stimulation presentation device, wherein the first stimulation signal is a visual stimulation signal.
3. The method for assessing cognitive function of a patient according to claim 2, wherein the predetermined assessment process of step S4 further comprises:
s43: grouping the plurality of second stimulation signals into a second stimulation group;
s44: periodically presenting the second stimulation group to the patient by a stimulation presentation device, wherein the second stimulation signal is an auditory stimulation signal.
4. The method for assessing the cognitive function of a patient according to claim 3, wherein said step S5 includes:
s51: when the patient receives the signals of the first stimulation group, interactive feedback is carried out to obtain first brain wave feedback signals, and state information of postoperative vision recovery of the patient is obtained according to the first brain wave feedback signals;
s52: and performing interactive feedback when the patient receives the signals of the second stimulation group to obtain a second brain wave feedback signal, and obtaining the state information of the hearing recovery of the patient after the operation according to the second brain wave feedback signal.
5. A system for assessing cognitive function of a patient, comprising:
a feature extraction module: acquiring data information in an activity scene through cognitive equipment, and extracting significant features of the data information to generate feature marks;
a generation module: the mapping relation is established between the characteristic mark and the extracted data information, and memory information is automatically generated in a database and stored;
an input module: for inputting patient-associated look-up memory data information;
a detection module: the brain wave detection module is used for detecting brain wave signals when the patient passively receives a preset evaluation flow according to the search memory data information so as to evaluate the cognitive function of the patient;
an evaluation module: and the cognitive task used for evaluating the interactive operation of the patient when receiving the stimulation signal according to the preset evaluation flow so as to obtain the state information of the cognitive recovery of the patient after the operation.
6. The system for assessing the cognitive function of a patient according to claim 5, wherein the pre-set assessment procedures in the detection module comprise:
a first combination unit: for grouping the plurality of first stimulation signals into a first stimulation group;
the first display unit: for periodically presenting the first group of stimuli to a patient by a stimulus presentation device, wherein the first stimulus signal is a visual stimulus signal.
7. The system for assessing the cognitive function of a patient according to claim 6, wherein the pre-set assessment process in the detection module further comprises:
a second combination unit: for grouping a plurality of second stimulation signals into a second stimulation group;
a second display unit: for periodically presenting the second stimulation group to the patient by a stimulation presentation device, wherein the second stimulation signal is an auditory stimulation signal.
8. The patient cognitive function assessment system according to claim 7, wherein said assessment module comprises:
a visual evaluation unit: when the patient receives the signals of the first stimulation group, interactive feedback is carried out to obtain first brain wave feedback signals, and state information of postoperative vision recovery of the patient is obtained according to the first brain wave feedback signals;
a hearing evaluation unit: and performing interactive feedback when the patient receives the signals of the second stimulation group to obtain a second brain wave feedback signal, and obtaining the state information of the hearing recovery of the patient after the operation according to the second brain wave feedback signal.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050079636A1 (en) * | 2001-09-25 | 2005-04-14 | White Keith D. | Method and apparatus for diagnosing schizophrenia and schizophrenia subtype |
| US20170340230A1 (en) * | 2014-11-17 | 2017-11-30 | National Institute Of Advanced Industrial Science And Technology | Similarity Evaluation Method Using Brain Waves, Evaluation Device, Evaluation System, And Program |
| US20200015696A1 (en) * | 2018-07-16 | 2020-01-16 | Mcmaster University | Systems and methods for cognitive health assessment |
| WO2021064214A1 (en) * | 2019-10-04 | 2021-04-08 | Icm (Institut Du Cerveau Et De La Moelle Épinière) | System for the automatic evaluation of cognition and consciousness of an individual through external stimulations |
| CN113658705A (en) * | 2020-11-25 | 2021-11-16 | 北京未名脑脑科技有限公司 | Cognitive function regulation and control device, system and method, application of cognitive function regulation and control device in cognitive function deficiency, storage medium and terminal |
-
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- 2021-12-23 CN CN202111588845.3A patent/CN114190954A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050079636A1 (en) * | 2001-09-25 | 2005-04-14 | White Keith D. | Method and apparatus for diagnosing schizophrenia and schizophrenia subtype |
| US20170340230A1 (en) * | 2014-11-17 | 2017-11-30 | National Institute Of Advanced Industrial Science And Technology | Similarity Evaluation Method Using Brain Waves, Evaluation Device, Evaluation System, And Program |
| US20200015696A1 (en) * | 2018-07-16 | 2020-01-16 | Mcmaster University | Systems and methods for cognitive health assessment |
| WO2021064214A1 (en) * | 2019-10-04 | 2021-04-08 | Icm (Institut Du Cerveau Et De La Moelle Épinière) | System for the automatic evaluation of cognition and consciousness of an individual through external stimulations |
| US20230140419A1 (en) * | 2019-10-04 | 2023-05-04 | Icm (Institut Du Cerveau Et De La Moelle Épinière) | System for the automatic evaluation of cognition and consciousness of an individual through external stimulations |
| CN113658705A (en) * | 2020-11-25 | 2021-11-16 | 北京未名脑脑科技有限公司 | Cognitive function regulation and control device, system and method, application of cognitive function regulation and control device in cognitive function deficiency, storage medium and terminal |
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