KR20230076176A - System for digitally managing dementia risk - Google Patents

Abstract

A digital dementia risk management system is provided. The digital dementia risk management system according to an embodiment of the present invention comprises: an information collection device which is carried by a person receiving dementia care or installed in a residential facility of the person receiving dementia care and collects questions and answers and vital sign information about the person receiving dementia care; and a dementia risk management server which analyzes cognitive status based on the questions and answers and vital sign information collected from the information collection device, reports the analysis results to a hospital server and a guardian terminal, and if a vital sign risk is detected cast, alerts a dementia care center server, wherein the dementia risk management server provides questions about a current time and place and acquaintances, determines a time recognition status based on the results, provides content or tasks and questions related thereto, determines an object recognition status based on answers to the questions, provides situation-specific questions during life, including virtual images for each situation and answers according to the situation, determines a living ability status based on the results, identify bedsores, bowel movements, appetite, sweat, and eye movements of the person receiving dementia care based on the collected vital sign information, and determines a psychological state of the person receiving dementia care according to the identified conditions. Accordingly, a dementia management infrastructure can be established with improved efficiency and effectiveness of dementia management.

Description

Digital dementia risk management system {System for digitally managing dementia risk}

The present invention relates to a digital dementia risk management system, and more particularly, to a digital dementia risk management system capable of improving the efficiency and effectiveness of dementia management according to multidimensional observation and analysis of dementia patients.

Recently, the development of digital therapeutics to replace drug treatment is actively progressing. Digital therapies mean providing evidence-based therapeutic interventions to patients through high-quality software programs that prevent, manage, and treat diseases and disorders. In other words, digital therapy is a new concept that provides disease prevention, management, and treatment based on digital technology (software) rather than conventional pills or injections, and includes artificial intelligence, VR (Virtual Reality), games, and applications. The concept of treating patients with digital technology that works on the patient's mind.

On the other hand, in the case of brain disease-related diseases such as dementia or man-made disability, the use of digital therapeutics is more important because it is more important for the purpose of mitigation or on-site maintenance centered on diagnosis, prevention and management rather than for the purpose of complete cure by treatment. Suitable. However, in this case, it can be understood as using digital technology for prevention and management rather than a function as a treatment.

However, these dementia-related digital treatment or management technologies simply focus on the application of digital technology without a pathological understanding of dementia, and thus, practicality and the resulting effect are not great. Therefore, a system capable of performing management through a multifaceted understanding of dementia patients is required.

KR 10-2018480 B1

In order to solve the problems of the prior art as described above, one embodiment of the present invention is to provide a digital dementia risk management system that can improve the efficiency and effectiveness of dementia management according to multifaceted observation and analysis of dementia patients. .

According to one aspect of the present invention for solving the above problems, an information collection device carried by a person to be managed with dementia or installed in a residential facility of the person to be managed with dementia to collect questions and answers and vital sign information for the person to be managed with dementia; And a dementia risk management server that analyzes the cognitive state based on the questions and answers and vital sign information collected by the information collection device, reports the analysis result to the hospital server and guardian terminal, and alerts the dementia management center server when a risk of vital signs is detected. There is provided a digital dementia risk management system including; Here, the dementia risk management server asks a question about the time currently recognized by the dementia care subject through the information collection device, and provides the dementia care subject with a question about a place and acquaintances related to the corresponding time according to the answer, According to the answers of the dementia management target, questions about other places and other acquaintances of the corresponding time zone are generated and provided from among the preliminary information of the dementia management target, stored in advance, and the dementia management target's answer to the question is the dementia management target If the number of matches with the dictionary information of is more than the first threshold value, the question and answer is terminated and the time or state is determined according to the result, and if the number of mismatches is more than the second threshold value, questions about other time zones are provided Based on the result, the time recognition state is determined, the content or task is provided to the dementia management target, and as a question about the image included in the content or task, a changing image, an image moving at a certain speed or more, a certain time Provides questions about images that appear or disappear at intervals, determines the state of object recognition according to the answer to the question, and provides contextual questions during life to the dementia care subject, and contextual questions during life It asks for answers according to the situation, and the front door password, financial information that is used more than a certain number of times, how to move to a specific destination, medications being taken and taking time, location of residence and immediate family, and government offices and life around the residence Provides situations and questions about the location of convenience facilities, determines the state of life ability according to the results, and grasps the condition of pressure sores, bowel movements, appetite, sweat, and eye movements of the dementia management target according to the collected vital sign information And, according to the identified state, the psychological state of the dementia care subject is determined.

In one embodiment, the dementia management center server requests detection grounds for the warned vital sign risk, evaluates detection suitability, reports it to the dementia risk management server, and determines that action is required for the warned vital sign risk. If it is determined, the fire department server may be notified to mobilize the scene. The fire department server compares and analyzes field dispatch request items and field conditions after dispatch based on the result report by the field dispatch personnel, evaluates dispatch suitability, and reports the evaluation result to the dementia risk management server. The hospital server compares and analyzes the on-site counseling treatment results of the dementia care subject and the reported cognitive status based on the reported cognitive status, evaluates the adequacy of state determination, and reports the evaluation result to the dementia risk management server. there is. The dementia risk management server receives the evaluation results from the hospital server and the dementia management center server, applies them as feedback to a deep learning element as a result corresponding to the report and warning, and determines the vital sign risk and manages the dementia. You can adjust the criteria for the content and cognitive status of the questions, content or tasks provided to the subject.

The digital dementia risk management system according to an embodiment of the present invention can improve the efficiency and effectiveness of dementia management by multi-faceted observation and analysis of time perception, object recognition, life ability and psychological state, etc. It is possible to build a dementia management infrastructure suitable for the times.

In addition, the digital dementia risk management system according to an embodiment of the present invention works with a hospital server, a dementia management center server, a fire station server, etc. to receive feedback and reflect the evaluation results, thereby determining the condition through continuous participation of experts for dementia management. Confidence in dementia risk management can be improved as relevance and accuracy can continue to evolve.

1 is a block diagram of a digital dementia risk management system according to an embodiment of the present invention.
2 is a block diagram of a dementia risk management server of a digital dementia risk management system according to an embodiment of the present invention.
3 is a diagram showing an example of a situation for evaluating the life ability state of the digital dementia risk management system according to an embodiment of the present invention.
4 is a flowchart illustrating an operating method of a digital dementia risk management system according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily carry out the present invention. This invention may be embodied in many different forms and is not limited to the embodiments set forth herein. In order to clearly describe the present invention in the drawings, parts irrelevant to the description are omitted, and the same reference numerals are assigned to the same or similar components throughout the specification.

Hereinafter, a digital dementia risk management system according to an embodiment of the present invention will be described in more detail with reference to the drawings. 1 is a block diagram of a digital dementia risk management system according to an embodiment of the present invention.

Referring to FIG. 1 , the digital dementia risk management system 10 according to an embodiment of the present invention includes an information collection device 100, a dementia risk management server 200, a dementia management center server 300, and a hospital server 400. ), a guardian terminal 500 and a fire station server 600.

The digital dementia risk management system 10 is for observing and analyzing the daily life of a dementia care subject to determine the cognitive state and detecting the risk of vital signs, and is linked with professional personnel such as hospitals, dementia management centers and fire departments. Through this, it is possible to comprehensively manage dementia care recipients. In particular, the digital dementia risk management system 10 can improve the management efficiency and effectiveness of dementia care subjects by multifacetedly observing time, object perception, life ability, and psychological state of dementia care subjects. Here, the dementia management target may be an elderly person living alone with a high risk of invasion.

The information collecting device 100 may be carried by a person subject to care for dementia or installed in a residential facility of a person subject to care for dementia to collect information from a person subject to care for dementia. As an example, the information collection device 100 may collect questions and answers and vital sign information of a person subject to dementia care. Here, the information collection device 100 may include a smart speaker 110 , a smart phone 120 , a smart watch 130 and a smart camera 140 .

The smart speaker 110 is provided in a residential facility of a person subject to dementia management, has a voice recognition function, and can perform questions and answers with the dementia risk management server 200 by voice. That is, the question provided from the dementia risk management server 200 may be provided to the dementia management subject in voice. At this time, the smart speaker 110 may receive the voice of the dementia management subject as an answer to the question and transmit it to the dementia risk management server 200 . As an example, the smart speaker 110 may be an AI speaker capable of voice input and audio output. In this case, the smart speaker 110 provides a voice recognition function, and may carry out a voice command of a person subject to dementia management by itself or transmit it to the dementia risk management server 200.

The smart phone 120 can be carried by a person subject to dementia management and conduct Q&A with the dementia risk management server 200 by text. That is, the smart phone 120 may provide a question provided from the dementia risk management server 200 to the person subject to dementia management as text. At this time, the smart phone 120 may receive the text input by the dementia management target person as an answer to the question and transmit it to the dementia risk management server 200 . As an example, the smart phone 120 may be a smart phone owned by a dementia care subject or assigned for management purposes.

The smart speaker 110 and the smart phone 120 may perform interactive cognitive state questions and answers for the dementia care subject. That is, the smart speaker 110 and the smart phone 120 present a specific question received from the dementia risk management server 200 to the dementia management subject, receive an answer in the form of voice or text from the dementia management subject, and manage dementia risk. It can be transmitted to the server 200.

The smart watch 130 may be worn on the body of a person to be managed for dementia, collect bio-signals of the person to be managed for dementia, and transmit them to the dementia risk management server 200 . That is, the smart watch 130 may detect a biosignal while being worn on the body by a person subject to dementia management by means of a biosignal detection sensor mounted therein, and transmit the biosignal to the dementia risk management server 200 . As an example, the smart watch 130 is an electrocardiogram (ECG), an electroencephalogram (EEG), an electromyogram (EMG), a galvanic skin response (GSR), and a skin temperature (SKT: skin temperature), and pulse wave (PPG: photoplethysmography).

The smart camera 140 may be provided in a residential facility of a person subject to dementia care and detect a movement of the person subject to care for dementia and transmit the motion to the dementia risk management server 200 . That is, the smart camera 140 may capture a state of a person subject to dementia management within a residence and transmit the photographed state to the dementia risk management server 200 in real time. As an example, the smart camera 140 may be a smart home camera.

The smart watch 130 and the smart camera 140 may perform unidirectional vital sign recording of the dementia care subject. That is, the smart watch 130 and the smart camera 140 may collect signals such as biological signals and images such as motions obtained from the person to be managed with dementia and transmit them to the dementia risk management server 200 .

The dementia risk management server 200 may analyze the cognitive state of the dementia care subject in various directions and observe the vital signs based on the questions and answers and the vital sign information collected from the information collection device 100 . At this time, the dementia risk management server 200 may report the analysis result of the cognitive state to the hospital server 400 and the guardian terminal 500 . In addition, the dementia risk management server 200 may warn the dementia management center server 300 of a risk state for the dementia management subject when vital sign risk is detected.

In addition, the dementia risk management server 200 may receive a comparative analysis result with a real state from the hospital server 400 and the fire department server 600 and reflect it as a deep learning element. That is, the dementia risk management server 200 compares and analyzes the cognitive state determination and vital sign detection results, the cognitive state through actual consultation and treatment, and the vital state through actual field dispatch to the hospital server 400 and the fire station server 600. ) can be received from each. In this case, the dementia risk management server 200 may adjust the cognitive state determination criterion and the vital sign detection criterion by feeding back the received result as a deep learning element.

The dementia management center server 300 may be a dementia management center server that manages dementia care subjects offline. At this time, the dementia management center server 300 may notify the fire station server 600 to dispatch to the scene when it is determined that measures are needed for the vital signs warned by the dementia risk management server 200 . For example, cases in which measures for vital signs are required may include fainting, no movement for a certain period of time, abnormal vital signs, and abnormal behaviors of the dementia management subject.

In addition, the dementia management center server 300 may evaluate detection suitability by requesting a detection basis for the risk of vital signs warned from the dementia risk management server 200 . In addition, the dementia management center server 300 may report the suitability evaluation result to the dementia risk management server 200 as feedback.

The hospital server 400 may be a server of a hospital in which dementia specialist medical staff provides counseling and treatment for dementia care subjects. At this time, the hospital server 400 may input and store the result of performing on-site counseling treatment for the dementia care subject based on the cognitive state reported from the dementia risk management server 200 .

At this time, the hospital server 400 may compare and analyze the cognitive state reported from the dementia risk management server 200 and the on-site counseling treatment result to evaluate the appropriateness of the state determination. In addition, the hospital server 400 may report the adequacy evaluation result of the condition determination to the dementia risk management server 200 as feedback.

The guardian terminal 500 may be a terminal of a guardian such as an immediate family member of a person subject to dementia management. As an example, the guardian terminal 500 may be a portable terminal having a wireless communication function, such as a smart phone or a laptop computer, or a portable terminal having a wired communication function, such as a PC. The guardian terminal 500 is not particularly limited as long as it can communicate with the dementia risk management server 200 through a wired or wireless communication network.

The fire department server 600 may be a server of a fire department capable of dispatching to a residence of a person subject to dementia management according to a request from the dementia management center server 300 . Here, the fire station dispatched to the person to be managed with dementia may be the nearest fire station to the residence of the person to be managed with dementia. For example, the fire department server 600 may be a server of a local fire department or a fire department general control center. At this time, the fire station server 600 may input and store a result report by a field dispatcher.

In addition, the fire department server 600 may evaluate dispatch suitability by comparing and analyzing a result report by a field dispatcher (ie, a field state identified after dispatch) and a field dispatch request. In addition, the fire station server 600 may report the dispatch suitability evaluation result to the dementia risk management server 200 as feedback. Here, the dispatch suitability evaluation result is an evaluation result of whether it is appropriate to take an emergency action by dispatching the dementia management subject's condition detected as a risk of vital signs by the dementia risk management server 200 .

2 is a block diagram of a dementia risk management server of a digital dementia risk management system according to an embodiment of the present invention.

The dementia risk management server 200 may include a communication unit 210 , a control unit 220 and a database 230 .

The communication unit 210 may communicate with the dementia management center server 300, the hospital server 400, and the guardian terminal 500 through a wired or wireless communication network. As an example, the communication unit 210 may perform communication with the dementia management center server 300, the hospital server 400, and the guardian terminal 500 through a wired/wireless public communication network through a communication means such as WiFi, LTE, or 5G. .

The control unit 220 may be communicatively connected to the communication unit 210 and the database 230 to control overall operations of the dementia risk management server 200 . The control unit 220 may include a time perception analysis unit 222, an object recognition analysis unit 224, a life ability analysis unit 226, a psychological state analysis unit 228, and an evaluation management unit 229.

The time perception analyzer 222 may analyze the time perception state of the dementia care subject through questions and answers about a specific time. As an example, the time perception analyzer 222 may provide a person subject to dementia management with questions about places and acquaintances related to the current time through the information collection device 100 . Here, the current time means a time that the dementia care subject recognizes as the present. That is, the time cognition analysis unit 222 may check the time currently recognized by the person to be managed for dementia by asking the person to be managed for dementia through the information collection device 100 . For example, the time recognition analysis unit 222 may provide a question about whether the dementia care subject is currently in infancy, school days, work life, or a specific age range.

At this time, the time recognition analysis unit 222 may generate and provide questions about other places and other acquaintances of the corresponding time zone according to the answers of the dementia care subject. That is, the time perception analysis unit 222 may provide similar questions for the same time zone as the first question to the person to be managed with dementia when the person to be managed with dementia presents a correct answer to the first question. Here, whether or not the answer of the person to be managed with dementia is correct may be determined based on prior information obtained from the person to be managed with dementia or a guardian such as an immediate family member. That is, the time recognition analysis unit 222 may determine whether the answer of the person subject to dementia management matches the prior answer through the prior answer previously stored in the management subject information 232 of the database 230 .

In addition, the time recognition analysis unit 222 determines that the dementia care subject accurately recognizes the corresponding time when the number of times that the dementia care subject's answer to the question matches the dementia care subject's prior information is equal to or greater than the first threshold value. can Here, the first threshold may be 3 to 5 times. At this time, the time recognition analysis unit 222 may end the question and answer about time.

In addition, the time perception analysis unit 222 may provide a question for a different time period when the number of times that the answer of the dementia care subject to the question does not match prior information of the dementia care subject is equal to or greater than the second threshold. Here, the second threshold may be 2 to 3 times. At this time, the time perception analyzer 222 may re-perform the questions and answers in the same manner as described above for other time zones, and determine the time perception state of the person to be managed with dementia according to the result.

The object recognition analyzer 224 may analyze the object recognition state of the person to be managed with dementia through contents or tasks. As an example, the object recognition analyzer 224 may provide content or tasks to a person subject to dementia care through the information collection device 100 . Here, the content means information provided as an image, and may be, for example, an image of an animal's life in the wild. The task refers to information that requires a person to be managed with dementia to answer or instructs to perform, and may be, for example, a simple game. These contents or tasks may include images and motions of various objects. Also, content or assignments may be provided for each level. Here, the level may be set according to the rate of change of the image, such as deformation or movement.

In this case, the object recognition analysis unit 224 may provide a question about the image included in the content or task. For example, the object recognition analyzer 224 may provide questions about a changing image, an image moving at a certain speed or higher, and an image appearing or disappearing at a certain time interval. That is, the object recognition analyzer 224 may provide questions about shape change, movement speed, appearance and disappearance of images included in content or tasks.

In addition, the object recognition analysis unit 224 may determine the object recognition state according to the answer of the person to be managed with dementia. At this time, the time perception analysis unit 222 may determine the object recognition state according to the number of times the answer of the dementia management subject consecutively matches the contents or the contents of the task. For example, the time recognition analysis unit 222 judges that if the answer matching the content or task is made 5 times in a row, it is good, if it is made 3 times in a row, it is normal, and if it does not match 2 or more times in a row, it is determined that consultation is necessary. can Here, the object recognition analyzer 224 may provide other contents or tasks to the dementia care subject when it is determined that it is normal or that counseling is necessary.

The life ability analysis unit 226 may analyze the life ability state of the dementia care subject through questions and answers about various situations in life. As an example, the life ability analysis unit 226 may present various situations that may occur in life and provide questions related to the situations to the dementia management subject. That is, the life ability analysis unit 226 may request an answer by asking questions necessary for the situation while providing a virtual image for each situation.

3 is a diagram showing an example of a situation for evaluating the life ability state of the digital dementia risk management system according to an embodiment of the present invention.

As shown in (a) of FIG. 3 , the life ability analysis unit 226 may provide a situation of entering and exiting the front door as a virtual image. Here, a door lock may be provided at the front door, and the door lock may be unlocked by a password. That is, the life ability analysis unit 226 may instruct the person to be managed with dementia to input a password to access the front door.

As shown in (b) of FIG. 3 , the life ability analysis unit 226 may provide a virtual image of a withdrawal situation from an ATM cash machine. Here, the ATM cash machine is associated with financial information that is used more than a certain number of times, and a password or account number may be requested. That is, the life ability analysis unit 226 may instruct the person to be managed with dementia to input a password or an account number for cash withdrawal or account transfer to a specific person.

As shown in (c) of FIG. 3 , the life ability analysis unit 226 may provide a medicine cabinet or medicine bag of a drug currently being taken as a virtual image. Here, the medicine cabinet is related to the medication being taken and the taking time, and may be provided in a plurality. At this time, the life ability analysis unit 226 may request to select a medicine to be taken at the current time (morning, lunch, evening) from the presented medicine cabinet or medicine bag.

As shown in (d) of FIG. 3 , the life ability analysis unit 226 may provide a map of the vicinity of the residence of the person subject to dementia management as a virtual image. Here, the map may display the location of the residence and the residence of the immediate family, and the location of government offices and convenience facilities around the residence. In addition, the map may be configured in 2D or 3D and provided in 3D virtual reality. At this time, the life ability analysis unit 226 may select a specific location on the presented map or request a movement route.

As shown in (e) and (f) of FIG. 3 , the life ability analysis unit 226 may provide a bus stop or subway station related image for moving to a specific destination. Here, a bus stop or a subway station may be located near a residence of a person subject to dementia care or may be a location passed through when transferring. At this time, the life ability analysis unit 226 may request to answer how many times to take a bus at a bus stop, or how many lines to get off or transfer at a corresponding subway station as a method of moving to a specific destination.

In addition, the life ability analysis unit 226 may determine the life ability state according to the answer of the person to be managed with dementia. At this time, the life ability analysis unit 226 may determine the life ability state according to the number of times that the answers of the dementia care subject consecutively match the questions for each situation. For example, the life ability analysis unit 226 determines if the answer matching the collected information for each situation is 5 times in a row, good, 3 times in a row, normal, and if it does not match 2 or more times in a row, counseling need can be judged. Here, the life ability analysis unit 226 may continuously change and provide the situation or question provided to the dementia care subject.

Referring back to FIG. 2 , the mental state analyzer 228 may analyze the mental state of the dementia care subject through the vital signs collected through the information collection device 100 . As an example, the psychological state analyzer 228 determines pressure sores, defecation, appetite, sweat, and eye movement states of the dementia care subject based on the biometric information and behavior information of the dementia care subject received from the information collection device 100. can

For example, the psychological state analyzer 228 may determine a pressure sore based on an uncomfortable lying posture or a photographed image of the back. In addition, the psychological state analyzer 228 may detect a state of defecation or urine based on a photographed image of a hip or buttocks of a person subject to dementia management. In addition, the mental state analyzer 228 may grasp appetite, sweat, and eye movement states according to the image of the person to be managed with dementia.

At this time, the psychological state analysis unit 228 may determine the psychological state of the person to be managed with dementia according to the identified state. For example, the psychological state analyzer 228 may determine the psychological state of the dementia management subject, such as anxiety, nervousness, discomfort, relief, peace, etc., according to whether a captured image or a biosignal lasts for a certain period of time.

As a result, the digital dementia risk management system 10 according to an embodiment of the present invention can improve the efficiency and effectiveness of dementia management, so it is possible to build a dementia management infrastructure suitable for the aging era.

At this time, the time perception analysis unit 222, the object recognition analysis unit 224, and the life ability analysis unit 226 may report the analysis result to the hospital server 400 as a result of measuring the cognitive state of the dementia care subject. In addition, the mental state analyzer 228 may determine the risk of vital signs based on the mental state or the recognized state and alert the dementia management center server 300 of the result.

The evaluation management unit 229 may receive evaluation results from the hospital server 400 and the dementia management center server 300 and apply them as feedback to a deep learning element. Here, the evaluation result means a result of comparing a state confirmed by on-site counseling or dispatch to a state reported or warned by the dementia risk management server 200.

At this time, the evaluation management unit 229 may apply the received evaluation result as feedback to the deep learning element as a result corresponding to the report and warning. In addition, the evaluation management unit 229 may adjust the vital sign risk determination criteria used by the mental state analysis unit 228 according to deep learning. In addition, the evaluation management unit 229 may adjust the content of questions, contents or tasks used by the time perception analysis unit 222, the object recognition analysis unit 224, and the life ability analysis unit 226, and cognitive state criteria.

As a result, the digital dementia risk management system 10 according to an embodiment of the present invention can continuously evolve the adequacy and accuracy of state determination through the continuous participation of experts for dementia management, thereby improving the reliability of dementia risk management. can make it

The database 230 may store information received from the dementia risk management server 200 and information calculated based thereon. This database 230 may include management subject information 232 , content information 234 , analysis result information 236 , feedback information 238 , and management operation information 239 .

The management target person information 232 may be information on a dementia management target person. In addition, the management target person information 232 may include treatment information and counseling information through guardians such as immediate family members of the dementia management target person and medical staff in charge. In addition, the management target person information 232 may include a question and answer result of the cognitive status of the dementia management target person received from the information collection device 100 and recorded vital sign information. In addition, the management target person information 232 may include previously confirmed information about acquaintances or experiences of the dementia management target person for a specific time period. In addition, the management subject information 232 is information necessary for each specific situation in life, such as a door password, financial information that is used more than a certain number of times, how to move to a specific destination, medications being taken and taking time, residence and immediate family's residence location, and the location of government offices and convenience facilities around the residence.

The content information 234 may include questions, content, or assignments provided to a person subject to dementia care. In this case, the content refers to information provided as an image, and may be, for example, an image of an animal's life in the wild. The task refers to information that requires a person to be managed with dementia to answer or instructs to perform, and may be, for example, a simple game. These contents or tasks may include images and motions of various objects. Also, content or assignments may be provided for each level. Here, the level may be set according to the rate of change of the image, such as deformation or movement. This content information 234 may be changed according to the evaluation result of the evaluation management unit 229 .

The analysis result information 236 is based on the information received through the information collection device 100, the time perception analysis unit 222, the object recognition analysis unit 224, the life ability analysis unit 226, and the psychological state analysis unit ( 228) may be included.

The feedback information 238 may include evaluation information fed back to the dementia management center server 300 , the hospital server 400 , and the fire station server 600 .

The management operation information 239 may include information about the dementia management center server 300 , the hospital server 400 , and the fire department server 600 that interoperate with the dementia risk management server 200 . For example, the management operation information 239 may include communication information, location information, and availability information for the dementia management center server 300 , the hospital server 400 and the fire department server 600 .

Hereinafter, a method of operating the digital dementia risk management system according to the present invention will be described with reference to FIG. 4 .

4 is a flowchart illustrating an operating method of a digital dementia risk management system according to an embodiment of the present invention.

The operation method 20 of the digital dementia risk management system includes the step of analyzing the time perception state (S21), the step of analyzing the object recognition state (S22), the step of analyzing the life ability state (step S23), the psychological state It may include analyzing (S24) and evaluating and managing (S25).

In more detail, as shown in FIG. 4 , first, the dementia risk management server 200 analyzes the time awareness state of the dementia management subject through questions and answers about a specific time (step S21). In this case, the dementia risk management server 200 may provide the person to be managed with dementia with questions about a place and acquaintances related to the current time through the information collection device 100 . That is, the dementia risk management server 200 may ask the dementia management target person about the time currently recognized by the dementia management target person through the information collecting device 100 and check the dementia management target person. For example, the dementia risk management server 200 may provide a question about whether the dementia management subject is currently in infancy, school days, working life, or a specific age range.

At this time, the dementia risk management server 200 may generate and provide questions about other places and other acquaintances in the corresponding time zone according to the answers of the dementia care subject. That is, when the dementia risk management server 200 presents a correct answer to the first question, the dementia risk management server 200 may provide a similar question for the same time period as the first question to the dementia care subject. Here, the dementia risk management server 200 may determine whether the answer of the dementia care subject matches the prior answer through the dictionary answer previously stored in the management target person information 232 of the database 230 .

In addition, the dementia risk management server 200 determines that the dementia management subject accurately recognizes the corresponding time when the number of times that the dementia management subject's answer to the question matches the dementia management subject's prior information is equal to or greater than the first threshold value. can Here, the first threshold may be 3 to 5 times.

In addition, the dementia risk management server 200 may provide a question for another time period when the number of times that the answer of the dementia care subject to the question does not match the prior information of the dementia care subject is equal to or greater than the second threshold. Here, the second threshold may be 2 to 3 times. At this time, the dementia risk management server 200 may re-perform the questions and answers in the same manner as described above for other time zones, and determine the time awareness state of the person subject to dementia management according to the result.

Next, the dementia risk management server 200 analyzes the object recognition state of the person to be managed with dementia through the content or task (step S22). At this time, the dementia risk management server 200 may provide content or tasks to the person subject to dementia management through the information collection device 100 .

At this time, the dementia risk management server 200 may provide a question about the image included in the content or task. For example, the dementia risk management server 200 may provide questions about an image that changes, an image that moves at a certain speed or more, and an image that appears or disappears at a certain time interval. That is, the dementia risk management server 200 may provide questions about shape changes, movement speeds, and appearance and disappearance of images included in content or tasks.

In addition, the dementia risk management server 200 may determine an object recognition state according to an answer of a person subject to dementia management. At this time, the dementia risk management server 200 may determine the object recognition state according to the number of times the answers of the person to be managed with dementia continuously match the content or the content of the task. For example, the dementia risk management server 200 determines that if an answer matching the content or task is made 5 times in a row, it is good, if it is made 3 times in a row, it is normal, and if it does not match 2 or more times in a row, consultation is required. can Here, the dementia risk management server 200 may provide other contents or tasks to the person subject to dementia management if it is determined to be normal or necessary for counseling.

Next, the dementia risk management server 200 analyzes the state of living ability of the dementia care subject through questions and answers about various situations in life (step S23). At this time, the dementia risk management server 200 may present various situations that may occur in life and provide questions related to the situations to the dementia care subject. That is, the dementia risk management server 200 may request answers by asking questions necessary for the situation while providing virtual images for each situation.

In addition, the dementia risk management server 200 may determine the state of life ability according to the answer of the dementia management subject. At this time, the dementia risk management server 200 may determine the state of life ability according to the number of times the answers of the dementia care subject consecutively match the questions for each situation. For example, the dementia risk management server 200 determines if an answer consistent with the collected information for each situational question is made 5 times in a row, is good, if it is made 3 times in a row, it is normal, and if it does not match more than 2 times in a row, counseling is performed. need can be judged. Here, the dementia risk management server 200 may continuously change and provide a situation or question provided to a person subject to dementia management.

Next, the dementia risk management server 200 analyzes the psychological state of the dementia care subject through the vital signs collected through the information collection device 100 (step S24). At this time, the dementia risk management server 200 can grasp pressure sores, defecation, appetite, sweat, and eye movement states of the dementia care subject based on the biometric information and behavior information of the dementia care subject received from the information collection device 100 there is.

For example, the dementia risk management server 200 may determine a pressure sore based on a photographed image of a back or a position in which a lying posture is uncomfortable. In addition, the dementia risk management server 200 may detect a state of defecation or urine based on a photographed image of a hip or buttocks of a person subject to dementia management. In addition, the dementia risk management server 200 may grasp appetite, sweat, and eye movement states according to the image of the dementia care subject.

In addition, the dementia risk management server 200 may determine the psychological state of the dementia care subject according to the identified state. As an example, the dementia risk management server 200 may determine the psychological state of the dementia care subject, such as anxiety, nervousness, discomfort, relief, peace, etc., according to whether a captured image or a biosignal lasts for a certain period of time.

At this time, the dementia risk management server 200 may report the analysis results of various cognitive states to the hospital server 400 as the cognitive state measurement results of the dementia care subject. In addition, the dementia risk management server 200 may determine the risk of vital signs based on the mental state or the recognized state and alert the dementia management center server 300 of the result.

Next, the dementia risk management server 200 receives the evaluation results from the hospital server 400 and the dementia management center server 300 and applies them as feedback to the deep learning element (step S25). At this time, the dementia risk management server 200 may apply the received evaluation result as a feedback to a deep learning element as a result corresponding to a report and a warning. In addition, the dementia risk management server 200 may adjust the vital sign risk determination criteria used by the mental state analyzer 228 according to deep learning. Accordingly, the dementia risk management server 200 may adjust the content and cognitive state standards of questions, contents or tasks used in steps S21 to S24.

The above methods may be implemented by the digital dementia risk management system 10 as shown in FIG. 1, and in particular, may be implemented as a software program that performs these steps, in which case, these programs are computer readable. It can be stored in a possible recording medium or transmitted by a computer data signal combined with a carrier wave in a transmission medium or communication network.

At this time, the computer-readable recording medium includes all types of recording devices in which data readable by a computer system is stored, and includes, for example, ROM, RAM, CD-ROM, DVD-ROM, DVD-RAM, magnetic tape, It may be a floppy disk, a hard disk, an optical data storage device, and the like.

Although one embodiment of the present invention has been described above, the spirit of the present invention is not limited to the embodiments presented herein, and those skilled in the art who understand the spirit of the present invention may add elements within the scope of the same spirit. However, it will be possible to easily suggest other embodiments by means of changes, deletions, additions, etc., but this will also be said to fall within the scope of the present invention.

10: Digital Dementia Risk Management System
100: information collection device 110: smart speaker
120: smart phone 130: smart watch
140: smart camera 200: dementia risk management server
210: communication unit 220: control unit
222: time perception analysis unit 224: object recognition analysis unit
226: life ability analysis unit 228: psychological state analysis unit
229: evaluation management unit 230: database
232: management subject information 234: content information
236: analysis result information 238: feedback information
239: management operation information 300: dementia management center server
400: hospital server 500: guardian terminal
600: fire station server

Claims (2)

An information collection device that is carried by a person to be managed with dementia or installed in a residential facility of the person to be managed with dementia to collect questions and answers and vital sign information of the person to be managed with dementia; and
A dementia risk management server that analyzes the cognitive state based on the questions and answers and vital sign information collected by the information collection device, reports the analysis result to the hospital server and the guardian terminal, and alerts the dementia management center server when a risk of vital signs is detected; including,
The dementia risk management server,
Through the information collection device, a question is asked about the time currently recognized by the person subject to dementia care, and according to the answer, questions about places and acquaintances related to the time are provided to the person subject to dementia care, and in advance according to the answer of the person subject to dementia care Among the stored dictionary information of the dementia management target, questions about other places and other acquaintances of the corresponding time are generated and provided, and the number of times that the dementia management target's answer to the question matches the dementia management target's prior information is the second. If it is more than the 1st threshold, the question and answer is terminated and the time recognition state is determined according to the result, and if the number of mismatches is greater than the second threshold, a question about another time period is provided and the time perception state is determined according to the result. judge,
Provide content or a task to the dementia management subject, and as a question about an image included in the content or task, a question about a changing image, an image moving at a certain speed or more, an image that appears or disappears at a certain time interval, and According to the answer to the question, the state of object recognition is determined,
Contextual questions in life are provided to the dementia care recipient, but contextual questions in life require virtual images by context and answers according to the situation, and information about the front door password, financial information that is used more than a certain number of times, and specific destinations. It provides situations and questions about how to move, medications being taken and time taken, the location of residence and immediate family, and the location of public offices and convenience facilities around the residence, and based on the results, the state of ability to live is determined,
A digital dementia risk management system that determines the state of pressure sores, defecation, appetite, sweat, and eye movement of the person subject to dementia care according to the collected vital sign information, and determines the psychological state of the subject of dementia care according to the identified condition . According to claim 1,
The dementia management center server requests detection grounds for the warned vital sign risk, evaluates the detection suitability, reports it to the dementia risk management server, and dispatches to the site if it is determined that action on the warned vital sign is necessary. Notify the fire department server to do so,
The fire station server compares and analyzes the field dispatch request and the site status after dispatch based on the report of the result by the field dispatch agent, evaluates dispatch suitability, and reports the evaluation result to the dementia risk management server,
The hospital server compares and analyzes the on-site counseling treatment results of the dementia care subject and the reported cognitive status based on the reported cognitive status, evaluates the adequacy of state determination, and reports the evaluation result to the dementia risk management server,
The dementia risk management server receives the evaluation results from the hospital server and the dementia management center server, applies them as feedback to a deep learning element as a result corresponding to the report and warning, and determines the vital sign risk and manages the dementia. A digital dementia risk management system that adjusts the criteria for the content and cognitive status of questions, content or tasks provided to the subject.

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