WO2019098777A1 - Dementia patient management method and system thereof - Google Patents

Abstract

A dementia patient management method and a system thereof are provided. The method is a dementia patient management method of a dementia patient management device operated by at least one processor, comprising the steps of: receiving data monitoring the daily life of the dementia patient from a manager terminal; determining whether the state of the dementia patient is a normal pattern, a premonitory symptom pattern causing a dementia behavioral and psychological symptom, or a dementia behavioral and psychological symptom pattern by using the monitored data on the basis of a previously learned model; and if the determined pattern corresponds to the premonitory symptom pattern or the dementia behavioral and psychological symptom pattern, then transmitting, to the manager terminal, at least one recommended service for dementia patient management respectively set to the premonitory symptom pattern or the dementia behavioral and psychological symptom pattern, wherein the recommendation service includes a manager's coping method for alleviating or treating the premonitory symptom or the dementia behavioral and psychological symptom.

Description

Dementia Patient Management Method and System

The present invention relates to a dementia patient management method and system thereof.

With increasing social interest in dementia, there is a growing demand for safe care to protect the dignity of patients with dementia. However, the manager has difficulty in properly responding to the behavioral psychological symptoms of dementia and the burden of related safety accidents.

Behavioral and psychological symptoms of dementia (BPSD) can be classified into three categories: aggression, inappropriate sexual behavior, impurity, abuse, lurks, irritability, delusions, hallucinations, It is not. Behavioral psychological symptoms of dementia are manifested by various factors such as pre - disease, past experience, physical stimulation, psychological stimulation, environmental stimulation, and adverse drug reactions in dementia patients. Behavioral problems of dementia If you can not cope with psychological symptoms properly, you should use the restraint for yourself, your fellow elderly person, and the supervisor in your institution. If you care for your family, you can go to elder abuse or suicide.

Regarding the care of dementia patients, the daily life assistant robot communication system disclosed in Korean Patent No. 10-1880500 updates information through dialogue with mild dementia patients and enables care dementia patients to select care services.

In addition, the alarm system disclosed in Korean Patent No. 10-1483288 detects a dementia patient departing from a specific area by installing a sensor in a specific area within a residence area where a demented patient resides, and provides a portable terminal To provide audible tones or vibrations.

However, as described above, the technology developed in connection with the dementia patient conventionally does not fully reflect the disease characteristics of the dementia, but rather the passive function using the communication robot for the demented elderly with mild dementia, Care technology. Or dementia patients' opinions, and sends them to the caregiver.

However, a specialized assistance system has not yet been developed for administrators who prevent various behavioral psychological symptoms of dementia patients in advance and provide safe care by promptly responding to behavioral psychological symptoms in actual institutions.

In addition, conventional dementia management systems are designed to generate an alarm through an algorithm for a normal range, an abnormal range, or a symptom severity level, by collecting data collected through a sensor, and provide an efficient response service method for various symptoms and situations It is not a suggestion.

However, the difficulty of managers of dementia patients is not whether they are symptomatic but also whether they respond appropriately to the symptom or pre-symptom response. Therefore, the conventional dementia management system does not provide practical help to the manager.

The problem to be solved by the present invention is to monitor the activity of dementia patients through various sensors, to integrate the direct observation data of the manager and the past records, to prevent the behavioral psychological symptoms of the dementia which increases the burden of care, And a method and system for providing a solution for rapid response.

According to one aspect of the present invention, a dementia patient management method of a dementia patient management apparatus operated by at least one processor comprises the steps of: receiving data monitoring an everyday life of a dementia patient from an administrator terminal; Determining whether the state of the demented patient is a global symptom pattern that causes a dementia behavioral psychological symptom or a demented behavioral psychological symptom pattern based on the learned model based on the monitored data; Determining a recommended service for managing at least one dementia patient set in the demented behavioral psychological symptom pattern, and transmitting the determined recommendation service to the administrator terminal, Manager for alleviating or treating dementia behavioral psychiatric symptoms And the like.

The receiving step may include receiving monitoring data input or selected by a manager for each of a plurality of monitoring items indicating a state of the demented patient from the administrator terminal, transmitting the monitoring data to the dentition patient's body or a wireless The method comprising the steps of: receiving activity tracking data of the demented patient measured by the wireless sensor from a sensor; and receiving from the plurality of databases storing information of the demented patient, physical examination data of the demented patient, Based on the monitoring data, the activity tracking data, the physical examination data, the health record data, and the environmental data, and the machine learning algorithm Of the demented patient < RTI ID = 0.0 > A learning model representing an image state, a learning model representing a global symptom pattern of the demented patient, and a learning model representing a dementia behavior psychological symptom pattern of the demented patient.

Wherein the pre-learned model comprises a plurality of models related to indicating the pre-symptom of the dementia patient or the demented behavior psychological symptom among the monitoring data, the activity tracking data, the physical examination data, the health record data, And a combination of data.

The determining step may determine at least one recommended service based on a combination of a plurality of items indicating the status of the demented patient and a sum of scores given to the combined items.

Further comprising the step of receiving recommendation service selection information from the administrator terminal and receiving from the administrator terminal status evaluation information on a dementia patient for the recommendation service selected by the administrator terminal, The recommendation service selection information and the health evaluation information, together with the monitoring data of the demented patient, the activity tracking data, the physical examination data, the health record data, and the environmental data, have.

According to another aspect of the present invention, there is provided a dementia patient management system comprising: an administrator terminal carried by a manager who provides a management service to a demented patient or installed in a management institution in which the demented patient resides; Using the data monitored daily life and the learned model, it is determined whether the state of the demented patient is a global symptom pattern that causes dementia behavioral psychological symptoms or a demented behavioral psychological symptom pattern, and a discriminated global symptom pattern or dementia behavior Determining a recommended service for managing at least one dementia patient set in the psychological symptom pattern, and transmitting the determined recommendation service to the administrator terminal.

Wherein the administrator terminal provides a user interface composed of a plurality of items for monitoring the daily life of the demented patient, the precursor symptoms of the demented patient and the dementia behavior psychological symptoms of the demented patient, Or the monitoring data according to the selection may be generated and transmitted to the dementia patient management apparatus.

The dementia patient management system may further include a wireless sensor attached to the body of the demented patient or the clothes of the demented patient to generate information measuring the activity of the demented patient and transmitting the measured information to the dementia patient management apparatus As shown in FIG.

Wherein the dementia patient management system further comprises a surveillance camera installed in a space where the demented patient resides and generating a real time image of the daily life of the demented patient and transmitting the generated real image to the demented patient management device, The management apparatus can analyze the state of the demented patient from the real-time image.

The dementia patient management apparatus includes monitoring data received from the administrator terminal, data analyzed from the real-time image, activity tracking data received from the wireless sensor, physical examination data of the dementia patient, health record data of the dementia patient And generating a learning model representing a global symptom pattern of the demented patient and a learning model representing a demented behavior psychological symptom pattern based on environmental data of a management institution in which the dementia patient resides, The received monitoring data can be compared with the learning model to determine the pattern of the demented patient indicated by the monitoring data.

The dementia patient management apparatus may further comprise monitoring data received from the administrator terminal, activity tracking data received from the wireless sensor, and data obtained by processing the state of the dementia patient analyzed from the real-time image, To the terminal.

According to the embodiment of the present invention, administrators working at related institutions such as an elderly care facility, a geriatric care center, a day care center, a home care center and the like providing care for demented patients are more secure Accurate response and prevention solutions can be provided in real time.

In addition, it is possible to reduce the burden of the manager and the family who cares for a patient with dementia, and to provide efficient and safe care.

In addition, it is possible to reduce the use of compulsory restraints to control behavioral psychological symptoms of dementia patients and to maintain the dignity of patients with dementia.

Symptoms of patients with dementia can also reduce the incidence of safety accidents such as self-injury and falling fractures, as well as harm to people around them.

In addition, if the machine learning system is stabilized and sufficient data is acquired, the deep learning system can improve the technology to generate the solution by itself and cope with the number of cases, and if the solution is stabilized, it can be utilized as the command system of the caring robot .

1 is a configuration diagram of a dementia patient management system according to an embodiment of the present invention.

2 is a block diagram showing a detailed configuration of a dementia patient management apparatus according to an embodiment of the present invention.

3 is a conceptual diagram showing the operation of the data processing unit of FIG.

4 is a flowchart showing the operation of the dementia patient management apparatus according to the embodiment of the present invention.

5 is a block diagram illustrating a hardware configuration of a dementia patient management apparatus according to an embodiment of the present invention.

6 is a block diagram illustrating a hardware configuration of a monitoring apparatus according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when an element is referred to as " comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise.

The expressions described in the singular may be interpreted as singular or plural unless an explicit expression such as " a " or " a " is used.

Now, a dementia patient management method and system thereof will be described with reference to the drawings.

1 is a configuration diagram of a dementia patient management system according to an embodiment of the present invention.

1, the dementia patient management system 1 includes a dementia patient management apparatus 100, an administrator terminal 200, a wireless sensor 300, a surveillance camera 400, a guardian terminal 500, A health record data DB 700, and an environment data DB 800. [

The demented patient management apparatus 100 is connected to the administrator terminal 200, the wireless sensor 300, the surveillance camera 400, and the guardian terminal 500 through the communication network 900. The communication network 900 may be a wired communication network, a mobile communication network, a wireless network, or a combination thereof. For example, the wired communication network includes an IP (Internet Protocol) based wired network such as VoIP (Voice over Internet Protocol). The mobile communication network includes a long term evolution (LTE) network, a wideband code division multiple access (WCDMA) network, and the like. The wireless network includes various kinds of wireless networks such as a Wi-Fi network. However, the communication network 300 is not limited to a specific technology, as it may include both the already-constructed network as described above and a network developed in the future.

The dementia patient management apparatus 100 monitors the behavioral and psychological symptoms of dementia (BPSD) of the dementia patient's daily life, the prodrome causing the behavioral psychological symptoms of the dementia, Based on this, managers recommend management services to be provided to patients with dementia.

Here, the dementia patient management service includes a kind of care solution that an administrator should provide in accordance with the condition of the demented patient. Dementia patient care services can be defined, but not limited to, as shown in Table 1 below.

turn	Type of service
One	Encourage hospital care through carers
2	Intensive observation
3	High risk management
4	Guardian consultation
5	Reevaluation
6	Medication confirmation
7	(Entrustment) doctor commission
8	Coping with behavior change
9	Meal help

The dementia patient management apparatus 100 monitors the dementia patient using the administrator terminal 200, the wireless sensor 300, and the surveillance camera 400. The administrator terminal 200, the wireless sensor 300, and the surveillance camera 400 generate monitoring data for a dementia patient and transmit the monitoring data to the dementia patient management apparatus 100. The administrator terminal 200 is a means for receiving a daily life pattern and a meaningful change of a dementia patient from a manager while the dementia patient is freely living in a dementia patient management institution. The administrator terminal 200 may be installed in a management institution of a patient with dementia or may be carried by an administrator working in the institution. Here, the management organization may include a dementia patient care facility, an elderly care facility, an elderly care hospital, a day care center, and the like.

According to one embodiment, the administrator terminal 200 is a touch screen terminal, for example, a tablet PC can be used. According to another embodiment, the administrator terminal 200 may be implemented in the form of a kiosk.

The administrator terminal 200 provides a management interface for a dementia patient, and provides a user interface for inputting service contents. The user interface provides a touch-type button for selecting a plurality of monitoring items. The multiple monitoring items consist of daily living items, meal items, mobile items, excretion items, dementia behavioral psychological symptoms items, physical function items, dementia prevention program items, dementia management program items, and leisure activities items. Each monitoring item includes a plurality of detailed items.

Daily living monitoring items include items such as toilet care items, oral care items, hair wrapping items, grooming items, clothing change items, bed linen change items, environmental management items, article management items, laundry management items, position change items, Includes communication help items.

The monitoring items of the eating area include a meal preparation item, a meal aid item, a meal arrangement item, an asymptomatic item, a substitute item, a can nut item, a dosage item, and a moisture supply item.

The moving area item includes a walking item, a wheelchair item, and other auxiliary items.

Excretion area items include toilet items, diaper items, and other portable toilet items.

Dementia behavioral psychological symptom domain items include delusional items, hallucinatory hallucination items, emotional incontinence items, day and night confusion items, rejected items, anxiety items, deviation items, wandering items, violent violence items, item damage items, Items, and drawing items.

The physical function area items include basic operation training items and daily life operation training items.

Dementia prevention program area items include clay art items, cartoon classroom items, horticultural therapy items, music classroom items, and personal cognitive activity items.

The dementia management program area item includes music therapy item, music activity item, cognitive exercise item, recall therapy item, art therapy item, and song classroom item.

The leisure activity category includes food making items, religious activity items, folk song classroom items, beauty healing items, outings, dining out items, small group activities, household integrated items, personal leisure activities, small group performance items, A fairy tale item, a walking item, and other activity items.

After providing the care service to the dementia patient, the manager inputs information corresponding to the provided care service to the administrator terminal 200. [ The administrator enters the time (date and time), type, frequency, and intensity of the behavior of the demented patient.

Here, the type indicates whether the information input by the administrator is a meal or an excretion, and is distinguished by a monitoring item. That is, all the monitoring items are displayed on the screen with the touch buttons, and the manager inputs the type by touching the item corresponding to the service provided by the manager.

Frequency refers to the number of times the monitoring item occurred, for example, the number of excretion of demented patients, the number of movements, the number of meals, and the number of behaviors observed as dementia behavioral psychological symptoms. When the manager touches the monitoring item, the administrator terminal 200 can input the frequency of the monitoring item or output a field in which the user can select the monitoring item.

Strength is the intensity of behavior of a demented patient that corresponds to a specific monitoring item, not all monitoring items. For example, among the monitoring items, the dementia behavior psychological symptom item is mapped to a level indicating the severity of the symptom, such as severe or mild, so that the manager can determine whether the intensity of the dementia behavior psychological symptoms of the demented person is severe or mild Can be input.

The administrator terminal 200 generates monitoring data including the touched monitoring item, detailed input or detailed selection of the monitoring item, and input time, and transmits the monitoring data to the demented patient management apparatus 100.

The wireless sensor 300 is a smart device that is attached to the wearer's clothing or body and tracks the activity of the subject, including, for example, a Spire health tag. Spire health tags are attached to the bands of clothing or where you want them to check activity, heart rate, sleep quality, breathing patterns, stress levels, and so on.

In the embodiment of the present invention, the wireless sensor 300 is mounted on a non-slip sock worn by a demented patient. The wireless sensor 300 measures at least one of respiration rate, respiration pattern, pulse rate, number of steps, stabilization time, concentration time, tension time, activity pattern, sleep pattern and sleeping time per minute of a demented patient, And transmits it to the dementia patient management apparatus 100. Here, since the operation of the wireless sensor 300 uses a known technique, a detailed description will be omitted.

The surveillance camera 400 is a 360 ° far-infrared camera installed on a ceiling of a demented patient's residence, and photographs a patient with dementia. The photographed image of the dementia patient is transmitted to the dementia patient management apparatus 100 in real time. Real-time transfer images are used to analyze the behavior type, extent, frequency, and duration of dementia patients.

The administrator terminal 200, the wireless sensor 300, and the surveillance camera 400 serve as a monitoring device for monitoring the daily life of patients with dementia, behavioral psychological symptoms of demented patients, and precursor symptoms that cause them, for 24 hours.

The dementia patient management apparatus 100 recommends management services based on the monitoring data collected from the monitoring apparatuses 200, 300, and 400 and the dementia patient data.

Data of dementia patients are collected from a plurality of dementia patient databases. The plurality of dementia patient databases includes a physical examination DB 500, a health record DB 600, and an environmental data DB 700.

The physical examination DB 500 stores physical examination data of the demented patient. The physical examination data is the information continuously input by the staff of the dentists such as doctors, nurses, social workers, nutritionists, etc. through the physical examination of the dementia patients. The physical examination data can be periodically stored in the physical examination DB 500 from an electronic recording system (not shown) of an institution that cares for a demented patient. Physical examination data includes data on pre-disease personality, past experience, physical condition, and psychological state of dementia patients.

The health record DB 600 stores the health record data of the dementia patient. The health record data includes the dementia degree of the dementia patient, the degree of the dementia induced disease, the degree of the other diseases, prescription drug, side effect, hematological test, , Biochemical tests, and the like. The health record data may be periodically stored in the health record DB 600 from an electronic record system (not shown) of an institution that cares for a patient with dementia.

The environmental data DB 700 stores environmental data of a place where a patient with dementia resides. The environmental data includes the temperature, humidity, smell, lighting, air quality, the staff in charge, the manager in charge, Type and type of program provided, family, legal guardian information, and the like. Such environmental data may be periodically stored in the environmental data DB 700 from an electronic recording system (not shown) of an institution that cares for a patient with dementia.

The dementia patient management apparatus 100 receives the monitoring data received from the administrator terminal 200, the wireless sensor 300 and the surveillance camera 400 and the monitoring data received from the body examination data DB 600, the health record data DB 700, Using the data of each dementia patient collected from the environmental data DB 800, the behavioral psychological symptom pattern and the global symptom pattern of the demented patient are classified. And extracts at least one management service set in the classified pattern. And transmits the extracted at least one management service to the administrator terminal 200. Then, the manager selects a management service to be provided from at least one management service displayed in the manager terminal 200. [ It is not possible to exclude the possibility of error of machine learning by 0.001% to make the final choice of care service by the manager, and the final service choice is to give the manager who manages the dementia patient directly and can grasp various situation factors.

When the administrator selects a service, the administrator terminal 200 transmits the service selection information to the demented patient management apparatus 100. [ Then, the dementia patient management apparatus 100 may reflect the service selection information at the time of extracting the recommendation service.

The dementia patient management apparatus 100 transmits the service provision status for the demented patient to the caregiver terminal 500. The guardian terminal 500 is a terminal of a family member and a legal guardian of a patient with dementia. Service provisioning consists of information indicating that the daily patterns of dementia patients are analyzed 24 hours a day and care is provided based on the machine learning solution. For example, service provisioning may include graphs and records of everyday data from demented patients and meaningful change data that deviates from normal patterns.

In this way, the use of the dementia patient management system (1) enables the dementia patients to manage their daily life, behavioral psychological symptoms of dementia, Can be automatically recorded and stored.

In addition, by using the dementia patient management system 1, it is possible to prevent behavioral psychological symptoms of dementia through machine learning based on data recorded in pre-built databases 500, 600, and 700 and monitoring data, And extracts a management service that can respond effectively. And provides the extracted service to the manager so that the manager can make quick and accurate decision making considering the current state and the situation of the demented patient.

FIG. 2 is a block diagram illustrating a detailed configuration of a dementia patient management apparatus 100 according to an embodiment of the present invention, and FIG. 3 is a conceptual diagram illustrating an operation of the data processing unit of FIG.

Referring to FIG. 2, the dementia patient management apparatus 100 includes a data collection unit 101, a data processing unit 103, a service recommendation unit 105, a feedback collection unit 107, an external interface unit 109, (111).

The data collection unit 101 collects monitoring data of a dementia patient, body examination data of a dementia patient, health record data of a dementia patient, and environment data of a dementia patient, and stores the collected data in the service database 111.

The data processing unit 103 processes, visualizes, and analyzes the data collected by the data collecting unit 101. And stores the processed, visualized, and analyzed data in the service database 111.

The data processing unit 103 processes the image received from the surveillance camera 400 and extracts information indicating the operation of the demented patient from the processed image. The extraction of the information representing the operation is an image analysis technique using machine learning, and the image analysis technique itself can use various known techniques.

The data processing unit 103 processes the real image received from the surveillance camera 400 into a silhouette image. The data processing unit 103 identifies the outlier of the real image, identifies the cause of the device defect, coding error, sensor deviation, etc., and corrects and corrects the cause.

The data processing unit 103 processes the real image into a monochrome frame image, and recognizes the size, time, and number of movements of each dementia patient and the employee by tagging by motion. For example, during the data learning period, an image representing various operations of the patient is received from the surveillance camera 400, and the manager tags the operation for each received image. For example, the moving image tagged by the subject is tagged to eat, and the motion image which shakes both arms in the wheelchair is tagged by the upper body of the wheelchair.

After accumulating about 10,000 pieces of the operation information tagged for each image, the image received from the surveillance camera 400 is learned on the basis of the machine learning algorithm to generate a learning model representing an operation for each image.

When the image of the demented patient is received from the surveillance camera 400, the data processing unit 103 processes the image into a black and white frame image as described above, compares the processed image with the learning model, Is classified. For example, the result of the classification is "eat". The data processing unit 103 records the output result of the classification and the current time in the service database 111. As described above, the data processing unit 103 can observe and record the current status of the demented patient with the image acquired from the surveillance camera 400. [

The data processing unit 103 scores the monitoring data received from the administrator terminal 200 and the wireless sensor 300, respectively. For example, based on the sleep data received from the wireless sensor 300, the sleep data scored by the sleep characteristics is generated. These scored sleep data are equal to the daily sleep time (min) = 180, the shallow sleep time (min) = 120, the deep sleep time (min) = 60, and the awakening (min) = 120.

The data processing unit 103 graphs the scored sleeping data on a weekly or specific period basis. This graph shows the changes in the amount of sleep in patients with dementia. The data processing unit 103 may graph the data based on the scored data, and then provide a sleep change graph to the administrator terminal 200 or the guardian terminal 500.

As shown in FIG. 3, the data processing unit 103 analyzes the data of the dementia patients based on the monitoring data, the physical examination data, the health record data, and the environmental data of the dementia patients collected over a predetermined period of time, Pattern, global symptom pattern, and behavioral psychological symptom pattern. Accordingly, when the monitoring data of the dementia patient is input, the data processing unit 103 compares the inputted monitoring data, the physical examination data, the health record data, and the environment data with the learning model to determine whether the state of the monitored dementia patient is a normal pattern Classify whether they are global symptom pattern recognition or behavioral psychological symptom pattern recognition. Various known techniques can be used for the machine learning algorithm, so that detailed description is omitted.

Based on the monitoring data of the dementia patient, the data processing unit 103 confirms the monitoring items deviating from the normal pattern of the dementia patient or having no pattern change.

According to one embodiment, a sleep monitoring item of a demented patient among monitoring items will be described as an example.

The data processing unit 103 learns the sleeping data of the dementia patients collected from the administrator terminal 200 and the wireless sensor 300 for one month, and generates a learning model representing a normal, i.e., normal, sleeping pattern of the demented patient. The data processing unit 103 compares the monitoring data of the demented patient with the learning model to determine whether the current sleep state of the demented patient corresponds to a normal sleep pattern. Assuming that the normal sleep pattern of the demented patient is the daily sleeping time (min) = 360 and the deep sleeping time (min) = 240, the monitored current sleeping pattern shows the daily sleeping time (min) = 180 and the deep sleeping time ) = 60, the data processing unit 103 outputs a result that the sleep pattern of the demented patient is not a normal pattern because the daily sleep time and the deep sleep time of the dementia patient are different from each other by 50% and 75%, respectively . Here, the normal sleep pattern may be set to a range of time (for example, 300 minutes to 420 minutes).

Further, the data processing unit 103 compares the sleeping data with other monitoring data. At this time, the comparison object may be not one but several, and is not limited to a specific monitoring item. The subjects to be compared can be selected as monitoring items that are closely related to each other in order to distinguish between global and behavioral psychological symptoms.

For example, if the data of the aggression frequency, which is one of the dementia behavioral psychological symptoms, is increased, when the sleep pattern of the dementia patient is out of the normal pattern, the data processing unit 103 causes the attack pattern It can be judged. In this manner, the data processing unit 103 generates a learning model representing a global symptom pattern. Therefore, in the case where the normal pattern of the monitored dementia patient is more than 4 hours per day of sleep, the data processing unit 103 can detect aggressive symptoms such as aggression as a behavioral psychological symptom based on the sleep pattern even if the monitored sleeping time is 3 hours and the attack is not monitored Can be predicted to appear as a global symptom. A normal sleep pattern, for example, a sleep time that is reduced by 50% over an average sleep time of 6 hours, for example, 3 hours of sleep, is a global symptom of aggression as a next-day behavioral psychological symptom. Accordingly, the data processing unit 103 outputs the sleep abnormality pattern result and the global symptom pattern result. Here, although only sleep and attack are described as general symptoms, the global symptom refers to all symptoms except behavioral symptoms of dementia patients and is determined by combining all monitoring items for dementia patients such as sleep deprivation, pain, inflammation, and lack of meals .

The service recommendation unit 105 recommends a management service corresponding to each pattern based on the analysis result of the dementia patient pattern of the data processing unit 103. [ The management service includes a management service for the global symptom pattern and a management service for the behavior psychological symptom pattern.

Here, the management service for the global symptom pattern is based on the received monitoring data, the physical examination data, the health record data, and the environmental data although the abnormal change of the behavioral psychological symptom item is not detected, Factor, emotional factor, empirical factor, disease factor, and environmental factor. This meaningful change can be known through the global symptom pattern output by the data processing unit 103.

For example, if the daily sleeping amount of a dementia patient is less than 4 hours, it is assumed that aggression, which is a behavioral psychological symptom, occurs. The global symptom pattern output by the data processing unit 103 includes monitoring data of monitoring items related to the behavioral psychological symptoms of the demented patient. For example, the daily amount of sleep associated with an attack, and the amount of sleep that is monitored. Therefore, the service recommendation unit 105 selects a management service corresponding to the global symptom pattern output from the data processing unit 103, among a plurality of predetermined management services. For example, it is predicted that aggression, which is a behavioral psychological symptom, will occur due to the amount of sleep in a dementia patient is 3 hours. Therefore, the program should be changed to a program that can take meditation therapy or relaxation, It is possible to recommend a management service for closely observing a demented patient to the administrator terminal 200.

At this time, the service recommendation unit 105 confirms a change in the sleep pattern of the demented patient in the same place, that is, the fellow patient residing in the same sick although the amount of sleep decreased. If the data processing unit 103 determines that the dementia patient is a global symptom pattern, and the fellow patient also has a change in the sleep pattern, the surrounding environment may be a factor rather than a global symptom. In this case, it is possible to provide another management service to the manager together with the service for the global symptom pattern. The service recommendation unit 105 may set the management service according to the global symptom pattern as a top priority or the lowest one in consideration of the variation amount of the sleep pattern of the peer patient and various variables.

In addition, the service recommendation unit 105 can recommend the management service in consideration of physical factors, emotional factors, empirical factors, and disease factors of the demented patient even if the demented patient is identified as a global symptom pattern.

Physical factors include pain, infection, dehydration, decreased vision, hearing loss, falls, and constipation. Cognitive factors include cognitive decline, decreased communication, and the like. Emotional factors include depression, anxiety, and the like. Empirical factors include past trauma, pre-disease characteristics, and the like. Disease factors include changes in drug type and dose, and worsening of duplicate disease. Environmental factors include temperature, lighting, noise, smell, and the like.

The service recommendation unit 105 can determine a recommended service based on scores set by the administrator terminal 200 for each of a physical factor, an emotional factor, an empirical factor, and a disease factor. At least one preset management service can be extracted according to the global symptom pattern, that is, the type, strength and frequency of the global symptom. The management service is set as a service to prevent behavioral psychological symptoms.

In addition, since all monitoring items of dementia patients are recorded as scores for each item, the frequency, intensity, and duration of the score change can be grasped and the pattern of week and pattern of month can be grasped. Thus, the management service can be matched to significant items or aggregate scores with a score change of more than 50%, which can help managers make better decisions. Since the learning model of the data processing unit 103 continuously updates the monitoring data, the service recommending unit 105 can recommend a long-term pattern and a personalized management service according to the change for each dementia patient.

According to one embodiment, it is assumed that the aggression level of the dementia patient is 5 points, 2 times a day (2 points), 3 pm and 4 pm. At this time, the service recommendation unit 105 extracts the management service corresponding to 5x2 = 10 points of the aggression item. A process of extracting a management service for a behavioral psychological symptom by the service recommendation unit 105 will be described with reference to the following Tables 2 and 3. Tables 2 and 3 are examples of matching management services using various data through a machine learning algorithm, but are not limited thereto.

Table 2 lists the arguments associated with behavioral psychological symptoms. Table 3 is an example of a managed service mapped based on the score set in the arguments in Table 2.

domain	code	take over	form
Dementia Symptoms Pattern of Dementia Patients	One	delusion	number
	2	hallucination	number
	3	Irritation / Attack	number
	4	Depression / discouragement	number
	5	unrest	number
	6	Good luck / excited mood	number
	7	Nonsense / indifference	number
	8	Decoupling	number
	9	Irritability / instability	number
	10	Abnormal motor symptoms	number
	11	Sleep / nighttime behavior	number
	12	Appetite / dietary change	number
	13	CDR (Dementia severity assessment tool)	number
	14	S-GDS (depression assessment tool)	number
	15	Neuropsychiatric drugs	Y / N

turn	How to Derive	Recommendation message	Recommended
One	3 = # 3 # AND 8 = # 3 # AND 9 = # 3 # AND 15 = N	Resistance to care and violence against carers is a concern. You need neuropsychiatry.	Encourage hospital care through carers
			Intensive observation
			High risk management
2	3> # 1 # OR 8 => # 1 # AND # 9> # 1 # AND 15 = N	There may be intermittent manifestations of aggressive behavioral patterns. After understanding the psychological state, we need to provide the service.	Guardian consultation
			Reevaluation
			High risk management
3	3 = # 3 # AND 8 = # 3 # AND 9 = # 3 # AND 15 = N	Constant observation / action is needed on the psychological side effects of the epilepsy.	Medication confirmation
			Intensive observation
			(Entrustment) doctor commission
4	(5> # 1 # OR 9 => # 1 #) AND 11> # 1 #	Observations on sleep patterns are needed.	Coping with behavior change
			High risk management
			(Entrustment) doctor commission
5	(4> # 1 # OR 6 => # 1 #) AND 12> # 1 #	Observations on eating patterns are required.	Meal help
			High risk management
			(Entrustment) doctor commission
6	(SUM 1:12)> 0 AND 13> # 0.5 #	Behavioral psychological symptoms. Behavior change observation / action is needed.	Coping with behavior change
			High risk management
			(Entrustment) doctor commission

In Table 2, the arguments 1 to 12 are included in the monitoring items provided by the administrator terminal 200, so that the symptom, the occurrence time, the frequency, and the intensity of the dementia patient are inputted based on the observation by the administrator. Arguments 13 and 14 are obtained from physical examination data from patients with dementia. Factor 15 is obtained from health record data from patients with dementia.

The service recommendation unit 105 combines each of these factors and calculates a score. For example, 3 = # 3 # AND # 8 = # 3 # AND # 9 = # 3 # AND 15 = N for the derivation method of order number 3. Here, 3 = # 3 # indicates that the score of code 3 in Table 2 is 3 points. 8 = # 3 # indicates that the score of 8 in Table 2 is 3 points. 9 = # 3 # indicates that the score of code 9 in Table 2 is 3 points. And code 15 in Table 2 is N. [ If all of these conditions are satisfied, the service recommendation unit 105 transmits three recommendation services to the administrator terminal 200, such as medication confirmation, concentration observation, and commissioning, together with the sum of the respective scores.

In addition, the service recommendation unit 105 may consider the human and physical infrastructure possessed by the management organization when the service is recommended. For example, if the A management agency provides aromatherapy, music therapy, cognitive exercise, recall therapy, and art therapy in addition to clay art, cartoon class, horticultural therapy, music classroom, Programs can be included in managed services.

In the case where the sleeping pattern of the dementia patient indicates an abnormal pattern (insufficient sleep) and the relaxation and relaxation program is derived from the recommended service, the service recommending section 105 uses the music therapy and the aroma therapy in the relaxation program in the institution A If it is, it offers musical therapy and aromatherapy as recommended service instead of relaxation program.

The feedback collecting unit 107 receives service information selected from a plurality of recommended services provided by the administrator terminal 200. After providing the recommendation service to the demented patient, the service receiving unit 105 receives the data for evaluating the condition of the demented patient and provides the data to the service recommendation unit 105. Then, the effect of the recommended service is reflected in the service recommendation algorithm, and the performance of the recommended service can be improved.

The external interface unit 109 transmits data of the dementia patient processed by the data processing unit 103, for example, a sleep change graph, to the guardian terminal 500 of the demented patient. In addition, the service recommendation unit 105 provides the recommendation service and the effect of the recommendation service to the caregiver terminal 500 of the demented patient.

FIG. 4 is a flowchart showing the operation of the dementia patient management apparatus according to an embodiment of the present invention, and shows the operation of the demented patient management apparatus 100 described with reference to FIG. 1 to FIG.

4, the dementia patient management apparatus 100 collects monitoring data generated by the respective devices 200, 300, and 400 from the administrator terminal 200, the wireless sensor 300, and the surveillance camera 400 (S101). The dementia patient management apparatus 100 also collects body examination data, health record data, and environment data of a demented patient from a plurality of databases 500, 600, and 700, respectively (S101).

The dementia patient management apparatus 100 processes and visualizes the collected data, and analyzes patterns of dementia patients based on a machine learning algorithm (S103). As a result of the analysis, the dementia patient management apparatus 100 distinguishes whether it is a normal pattern, a global symptom pattern, or a behavior psychological symptom pattern.

The dementia patient management apparatus 100 determines whether the demented patient is a normal pattern (S105). If the demented patient is a normal pattern, step S101 is performed. If the demented patient is not a normal pattern, it is determined whether it is a global symptom pattern (S107). If it is a global symptom pattern, at least one management service corresponding to the global symptom pattern is determined (S109). If it is not the global symptom pattern, it is determined whether it corresponds to the behavior psychological symptom pattern (S111). If it is not the behavioral psychological symptom pattern, step S101 is performed.

The demented patient management apparatus 100 determines at least one management service corresponding to the behavioral psychological symptom pattern if it corresponds to the behavioral psychological symptom pattern (S113).

The demented patient management apparatus 100 transmits at least one recommended service determined in step S111 or step S113 to the administrator terminal 200 (S115).

The demented patient management apparatus 100 receives the service selection information from the administrator terminal 200 (S117). The demented patient management apparatus 100 receives information on the status of the demented patient evaluated by the administrator for the service selected from the administrator terminal 200 (S119).

The demented patient management apparatus 100 updates the information received in steps S117 and S119 when the management service is recommended (S121).

On the other hand, the hardware configuration of the demented patient management apparatus explained so far will be described. 5 is a block diagram illustrating a hardware configuration of a dementia patient management apparatus according to an embodiment of the present invention.

5, the dementia patient management apparatus 1000 includes hardware including a communication apparatus 1001, a memory 1003, a storage apparatus 1005, at least one processor 1007, and the like, A program executed in combination with hardware is stored.

The processor 1007 communicates with the communication device 1001, the memory 1003, and the storage device 1005, and controls them. The communication device 1001 is hardware for physical connection with an external device, and transmits and receives data. The memory 1003 is a software program including instructions for executing the operations of the server described with reference to the drawings in Figs. 1-4, and loads the instructions from the stored program or storage device 1005. Fig.

FIG. 6 is a block diagram showing a hardware configuration of a monitoring apparatus according to an embodiment of the present invention, and shows a hardware configuration of the administrator terminal 200 described with reference to FIG. 1 to FIG.

6, the administrator terminal 1100 includes a communication device 1101, a memory device 1103, a display device 1105, an input device 1107, and at least one processor 1109. [

The communication device 1101 allows the memory device 1103 and / or the processor 1109 to access the communication network 900. The display device 1105 may be a liquid crystal display (LCD) technology or a light emitting polymer display (LPD) technology. The display device 1105 may be a capacitive type, a resistive type, or an infrared type. The display device 1105 outputs the operation result of the program executed by the processor 1109 to the screen. The input device 1107 may include various input devices such as a touch sensor, a touch pad, a touch pointing device and the like as means for receiving a user command. At least one processor 1109 may be implemented as a central processing unit (CPU), other chipset, microprocessor, or the like. The processor 1109 executes a program instruction for implementing at least some functions of the functions of the administrator terminal 100 stored in the memory 1103. The processor 1109 is a processor configured to perform operations of the administrator terminal 1100 and to execute the commands.

The embodiments of the present invention described above are not implemented only by the apparatus and method, but may be implemented through a program for realizing the function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.

Claims (11)

1. A method for managing a dementia patient in a dementia patient management apparatus operated by at least one processor,

   A step of receiving data monitoring the daily life of a demented patient from an administrator terminal,

   Determining whether the state of the demented patient is a global symptom pattern that causes a dementia behavioral psychological symptom or a demented behavior psychological symptom pattern based on the learned model,

   Determining a recommendation service for managing at least one dementia patient set in the identified global symptom pattern or the demented behavior psychological symptom pattern, respectively; and

   And transmitting the determined recommended service to the administrator terminal,

   The recommendation service,

   Wherein the dementia management method comprises a manager's coping method for alleviating or treating the global symptom or the dementia behavioral psychological symptoms.
2. The method of claim 1,

   Wherein the receiving comprises:

   Receiving monitoring data input or selected by an administrator from the administrator terminal for each of a plurality of monitoring items indicating a state of the demented patient,

   Receiving activity tracking data of the demented patient measured by the wireless sensor from a wireless sensor attached to the body of the demented patient or the clothing of the demented patient, and

   And receiving from the plurality of databases storing the information of the dementia patient the physical examination data of the dementia patient, the health record data and the environment data of the management institution in which the dementia patient lives,

   In the model learned,

   Based on the monitoring data, the activity tracking data, the physical examination data, the health record data, and the environment data, a learning model indicating a steady state of the dementia patient generated through a machine learning algorithm, A learning model representing a pattern, and a learning model representing a dementia behavior psychological symptom pattern of the demented patient.
3. 3. The method of claim 2,

   In the model learned,

   And a plurality of data associated with the at least one of the monitoring data, the activity tracking data, the physical examination data, the health record data, and the environment data, Management of dementia patients.
4. The method of claim 1,

   Wherein the determining comprises:

   Wherein the at least one recommended service is determined based on a combination of a plurality of items indicating the status of the demented patient and a sum of scores given to the combined items.
5. The method of claim 1,

   After the transmitting,

   Receiving recommendation service selection information from the administrator terminal, and

   Further comprising the step of receiving, from the administrator terminal, the dementia patient condition evaluation information for the recommendation service selected by the administrator terminal,

   Wherein the determining comprises:

   Wherein the at least one recommended service is determined using the recommended service selection information and the status evaluation information together with the monitoring data, the activity tracking data, the physical examination data, the health record data, and the environmental data of the demented patient, Way.
6. A manager terminal carried by a manager providing a management service to a dementia patient or installed in a management institution in which the dementia patient resides, and

   The data of the dementia patients received from the administrator terminal and the learned model are used to determine whether the state of the demented patient is a global symptom pattern causing dementia behavioral psychological symptoms or a dementia behavioral psychological symptom pattern Determining a recommendation service for managing at least one dementia patient set in the identified global symptom pattern or dementia behavior psychological symptom pattern, and transmitting the determined recommendation service to the administrator terminal

   Wherein the dementia patient management system comprises:
7. The method of claim 6,

   The administrative terminal,

   A user interface comprising a plurality of items for monitoring the daily life of the demented patient, the precursor symptoms of the demented patient and the dementia behavior psychological symptoms of the demented patient, And transmits the generated data to the dementia patient management apparatus.
8. The method of claim 6,

   A wireless sensor attached to the body of the demented patient or the garment of the demented patient to generate information measuring the activity of the demented patient and transmitting the measured information to the dementia patient management apparatus

   Further comprising: a dementia patient management system.
9. 9. The method of claim 8,

   Further comprising a surveillance camera installed in a space where the demented patient resides and generating a real-time image of the daily life of the demented patient and transmitting the generated real-time image to the demented patient management apparatus,

   Wherein the dementia patient management device comprises:

   And analyzes the state of the demented patient from the real-time image.
10. The method of claim 9,

    Wherein the dementia patient management device comprises:

    Wherein the monitoring data received from the administrator terminal, data analyzed from the real-time image, activity tracking data received from the wireless sensor, physical examination data of the dementia patient, health record data of the dementia patient, A learning model representing a global symptom pattern of the demented patient and a learning model representing a demented behavior psychological symptom pattern are generated through a machine learning algorithm based on environmental data of a management organization,

    And compares the monitoring data received from the administrator terminal with the learning model to determine the pattern of the dementia patient represented by the monitoring data.
11. 11. The method of claim 10,

    Wherein the dementia patient management device comprises:

    And transmitting the monitoring data received from the administrator terminal, activity tracking data received from the wireless sensor, and data obtained by processing the state of the demented patient analyzed from the real time image to the manager terminal or the guardian terminal of the demented patient Management system.

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