WO2019214478A1

WO2019214478A1 - Processing system and method for providing notification to alzheimer's disease patient using multi-level menu

Info

Publication number: WO2019214478A1
Application number: PCT/CN2019/084851
Authority: WO
Inventors: 郑亢; 王建春; 游华; 阙中有; 陈琦; 陈文�; 张小光; 林琅; 卢立; 苗成林; 曹启晨; 高伟明
Original assignee: 深圳市前海安测信息技术有限公司
Priority date: 2018-05-05
Filing date: 2019-04-28
Publication date: 2019-11-14
Also published as: CN110444273A

Abstract

A processing system and a method for providing a notification to an Alzheimer's disease patient using a multi-level menu. The method comprises the following steps: creating notification events on the basis of acquired position data and data on RFID tags, and acquiring creation times of the notification events (S32); parsing all of the notification events to obtain the position data and establishing first notification menus, and parsing all of the notification events to obtain the creation times and establishing second notification menus (S33); and if current position data matches a position data item in the first notification menus and a current time matches a creation time in the second notification menus, calling a first notification menu matching the current position data and a second notification menu matching the current time, so as to provide a notification to an Alzheimer's disease patient (S39). The invention establishes a memory assessment model on the basis of living habits of a patient, and provides a notification to the patient at a specific time and a specific location on the basis of a multi-level menu, thereby improving the result of memory training of Alzheimer's disease patients.

Description

Processing system and method for reminding patients with Alzheimer's disease based on multi-level menu

Technical field

The invention relates to the technical field of medical informationization, in particular to a processing system and method for reminding patients with Alzheimer's disease based on a multi-level menu.

Background technique

Alzheimer's disease is a primary gray matter encephalopathy. It is characterized by atrophy of the cerebral cortex, accompanied by neurofibrillary tangles and senile plaques. The course of the disease develops progressively, eventually leading to dementia, but the cause is unclear. Cerebral vascular dementia is related to cerebral hemorrhage, cerebral thrombosis, cerebral arteriosclerosis, etc. At present, although clinical drugs can improve some symptoms caused by cerebral hemorrhage or cerebral embolism, they are not effective in improving memory or mental retardation. According to the United Nations estimates, the number of elderly people will reach 590 million in 10 years and increase to 1.1 billion in 2025. AD is not only the biggest health killer of the elderly population, but also one of the main lethal diseases of the elderly in modern society. It is a serious threat to human mental health and quality of life in the later years, and it has brought heavy burdens and pressures to society and families. Concern has become a social public health problem that cannot be ignored.

In general, in the medical diagnosis of Alzheimer's disease, there are often clinical symptoms of memory loss or even memory confusion. At present, most of the brain memory training for brain patients is realized by the form of manual question and answer. However, The above manual method is time consuming and laborious and has poor persistence. In addition, the existing memory training for Alzheimer's patients is not based on the patient's living habits, and further leads to poor memory training.

technical problem

The main object of the present invention is to provide a processing system and method for alerting patients with Alzheimer's disease based on a multi-level menu, aiming to solve the problem that the memory training of patients with Alzheimer's disease in the prior art is not based on the patient's living habits. Technical problems with poor prevention and treatment.

Technical solution

To achieve the above object, the present invention provides a processing system for alerting an Alzheimer's disease patient based on a multi-level menu, installed and operated in a computer, the computer being communicably connected to the wearable device through a communication network, the wearable device also An RFID tag communication connection on a plurality of household items, the processing system for alerting an Alzheimer patient based on a multi-level menu comprising computer program instructions, the computer comprising a processor adapted to implement computer program instructions and a computer program adapted to store a memory of instructions that is loaded by the processor and performs the following steps:

Obtaining location data of Alzheimer's disease patients in the family and data in RFID tags on household items from the wearable device;

Creating a reminder event based on acquiring the location data and data in the RFID tag;

Parsing location data in all reminder events and establishing a first reminder menu, and parsing creation time in all reminder events to establish a second reminder menu;

Obtaining current location data and current time of the Alzheimer's disease patient from the wearable device;

If the current location data matches the location data in the first reminder menu and the current time matches the creation time in the second reminder menu, the first reminder menu matching the current location data is called and matched with the current time A second reminder menu to remind the Alzheimer's patient.

Preferably, the computer program instructions are loaded by the processor and further perform the following steps:

If the current location data does not match the location data in the first reminder menu, all second reminder menus are called up and the second reminder menu is played one by one through the wearable device to remind the Alzheimer's patient.

If the current location data matches the location data in the first reminder menu and the current time does not match the creation time in the second reminder menu, all the first reminder menus are called out and the first one is played one by one through the wearable device. Remind the menu to remind the Alzheimer's patient.

Preferably, the reminding event further includes a reminding item.

Preferably, the second reminder menu is associated with a creation time in the reminder event, and the first reminder menu is associated with the location data.

In another aspect, the present invention further provides a processing method for alerting an Alzheimer's disease patient based on a multi-level menu, which is applied to a computer, and the computer is communicably connected to the wearable device through a communication network, and the wearable device is further connected to the plurality of An RFID tag communication connection on a household item, the method comprising the following steps:

Creating a reminder event based on acquiring the location data and data in the RFID tag and obtaining a creation time of the reminder event;

If the current location data matches the location data in the first reminder menu and the current time matches the creation time in the second reminder menu, the first reminder menu matching the current location data and the current time match are retrieved. A second reminder menu to remind the Alzheimer's patient.

Preferably, the method comprises the following steps:

If the current location data does not match the location data in the first reminder menu, all the first reminder menus are called up and the second reminder menu is played one by one through the wearable device to remind the Alzheimer's patient.

Preferably, the method further comprises the following steps:

Preferably, the reminding event further includes a reminding item.

Preferably, the second reminder menu is associated with a creation time in the reminder event, and the first reminder menu associates position data with the location data.

Beneficial effect

Compared with the prior art, the processing system and method for reminding Alzheimer's disease patients based on multi-level menus establish a memory evaluation model based on the patient's usual living habits, and establish a multi-level reminder menu based on location data and time, timing Remind patients based on multi-level menus at a fixed point, improving the memory training effect of patients with Alzheimer's disease.

DRAWINGS

1 is a schematic diagram of an application environment of a preferred embodiment of a processing system for alerting a patient with Alzheimer's disease based on a multi-level menu according to the present invention;

2 is a functional block diagram of the processing system of the Alzheimer's disease patient based on the multi-level menu of FIG. 1;

3 is a flow chart of a preferred embodiment of the method of the present invention for alerting a patient with Alzheimer's disease based on a multi-level menu.

The implementation, functional features, and advantages of the present invention will be further described in conjunction with the embodiments.

Embodiments of the invention

The specific embodiments, structures, features and functions of the present invention are described in detail below with reference to the accompanying drawings and preferred embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Referring to FIG. 1, FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of a processing system for alerting Alzheimer's patients based on a multi-level menu according to the present invention. In this embodiment, the processing system 30 for alerting Alzheimer's patients based on the multi-level menu is installed and runs on the computer 3, and the computer 3 communicates with the wearable device 4 via the communication network 2, for example, from The wearable device 4 receives location data of a patient with Alzheimer's disease. Further, the wearable device 4 is also associated with RFID on a plurality of household items (Radio Frequency Identification, Radio Frequency Identification) Label 5 communication connection. Specifically, the wearable device 4 is provided with an RFID transmitter, and when the wearable device 4 is close to the RFID tag 5 to a preset distance (for example, a distance of 5 cm or less), the wearable device 4 The RFID transmitter generates vibrations and performs voice playback based on data on the RFID tag 5 (eg, information such as the name of the household item) to alert the Alzheimer's patient. The RFID tag 5 can be placed on a home item. The household items may be, but are not limited to, a key fob, a remote control, a water cup, a kitchen utensil, a table and chair, a hand strap, a wardrobe, a tableware, and the like.

The wearable device 4 records the location data of the Alzheimer's disease patient and acquires the data in the RFID tag 5 while transmitting the location data and the data in the RFID tag 5 to the computer 3.

As shown in FIG. 2, FIG. 2 is a functional block diagram of a processing system for alerting patients with Alzheimer's disease based on a multi-level menu according to the present invention.

The computer 3 is a computing device having a data processing and communication function such as a computer, a server, or the like in a home. In this embodiment, the computer 3 includes, but is not limited to, a processing system 30 for alerting Alzheimer's patients based on a multi-level menu, a memory 31 adapted to store a plurality of computer program instructions, and executing various computer program instructions. Processor 32, communication unit 33. The memory 31 may be a read only memory ROM, a random access memory RAM, an electrically erasable memory EEPROM, a flash memory FLASH, a magnetic disk or an optical disk, or the like. The processor 32 is a central processing unit (CPU), a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function. The communication unit 33 is a wired or wireless communication interface with a remote communication function, for example, a communication interface supporting communication technologies such as GSM, GPRS, WCDMA, CDMA, WIFI, and Bluetooth.

The communication network 2 may be a wireless network (for example, a communication network such as GPRS, WIFI, Bluetooth, etc.) or an internet network (such as a network such as the Internet).

The wearable device 4 can be, but is not limited to, a smart watch, a smart bracelet, and the like, any other electronic device capable of acquiring location data and playing reminders.

In this embodiment, the processing system 30 for alerting Alzheimer's patients based on the multi-level menu is composed of program modules composed of various computer program instructions, including but not limited to, the obtaining module 311, the creating module 312, and the parsing. Module 313, determination module 314, and reminder module 315. The term "module" as used in the present invention refers to a series of computer program instruction segments that can be executed by the processor 32 and that can perform fixed functions, which are stored in the memory 31. The specifics of each module will be specifically described below with reference to FIGS. 1 and 2. Features.

Referring to Figure 3, there is shown a flow diagram of a preferred embodiment of the present invention for alerting a patient of Alzheimer's disease based on a multi-level menu. In this embodiment, the various method steps of the multi-level menu to remind the Alzheimer's disease patient's processing method are implemented by a computer software program stored in computer readable storage in the form of computer program instructions. In a medium (eg, memory 31), the computer readable storage medium may comprise: a read only memory, a random access memory, a magnetic disk or an optical disk, etc., the computer program instructions being loadable by a processor (eg, processor 32) and performing the following steps S31 to Step S39.

In step S31, the location data of the Alzheimer's disease patient during the family activity and the data in the RFID tag 5 on the household item are obtained from the wearable device 4. Specifically, the obtaining module 311 acquires the location data of the Alzheimer's disease patient during the family activity and the data in the RFID tag 5 on the home article from the wearable device 4.

Step S32, creating a reminder event based on acquiring the location data and the data in the RFID tag 5.

Specifically, the reminder event includes information such as a reminder item (ie, a specific content of the reminder), location data, and a creation time of the reminder event.

For example, when a patient with Alzheimer's disease goes to the kitchen to pick up the tableware, record the time to pick up the tableware and combine it with the RFID tag 5 on the tableware, and pick up the time and location data of the tableware. The data on the RFID tag 5 on the tableware creates a reminder event (also known as a "meal reminder event"). The Alzheimer's disease patient is reminded to eat when the Alzheimer's disease patient is in close proximity to the tableware and coincides with the time and place of the meal reminding event.

When the Alzheimer's disease patient picks up the water cup on the coffee table, record the time to pick up the water cup and combine it with the RFID tag 5 on the water cup, and pick up the time of the water cup, the position data and the data of the RFID tag 5 on the water cup. Create a reminder event (also known as "Reminder event with a water cup"). The Alzheimer's disease patient is reminded to drink water when the Alzheimer's disease patient is in close proximity to the cup and coincides with the time and place in the reminder event of the water cup.

When the Alzheimer's disease patient goes to the room to pick up the key fob, record the time of taking the key fob and combine it with the RFID tag 5 on the key fob, and attach the keychain time, position data and key to the RFID tag 5 The data is a reminder event (also known as "a reminder event with a keychain"). The Alzheimer's patient is reminded of the key when the Alzheimer's patient is in close proximity to the cup and coincides with the location in the reminder event of the keychain.

When Alzheimer's disease patient goes home and closes, record location data and create a reminder event (also known as "a reminder event that places the key in a specific location after closing the door"). When the Alzheimer's patient returns home and closes, the Alzheimer's patient is reminded to place the key fob at the designated location.

In the present embodiment, when the data in the RFID tag 5 is acquired once, it indicates that the Alzheimer's disease patient has done a corresponding thing in the house (for example, taking a water to drink water), at this time, a reminder event is created.

It should be noted that step S31 and step S32 are reminder events created when the Alzheimer's disease patient is awake. After a reminder event is created, the Alzheimer's patient uses the input voice on the wearable device 4 (eg, the patient says "complete" to the wearable device 4) or presses a particular button on the wearable device 4 Confirmation to complete the creation of the reminder event and save it in the memory 31.

Step S33, parsing the location data in all the reminder events and establishing a first reminder menu, and parsing the creation time in all the reminder events to establish a second reminder menu. Specifically, since each reminding event includes location data, reminding items, and creation time, the parsing module 312 classifies all reminding events based on the location data and the creation time of the reminding event. For example, the parsing module 312 creates a first reminder menu based on the location data and the reminder item, if the Alzheimer's disease patient has 3 reminding events (for example, cooking, washing dishes, taking dishes, etc.) Based on the kitchen location data, create three first reminder menus: “Do you need cooking?”, “Do you need to wash the dishes?”, “Do you need to take the dishes?”. It should be noted that the first reminder menu is associated with the location data, and the first reminder menu can be called up by location data.

For example, the parsing module 312 establishes a second reminder menu based on the creation time and the reminding item in the reminder event, if the Alzheimer's disease patient has 2 reminding events at 12 noon (eg, eating, taking medicine, etc.) Two things), based on the creation time, create two second reminder menus: “Do you need to eat?”, “Do you need to take medicine?”. It should be noted that the second reminder menu is associated with the creation time in the reminder event, and the second reminder menu can be called up by time matching.

It should be noted that steps S31 to S33 are evaluation models pre-established by the Alzheimer's disease patient based on living habits in the awake state (ie, creating a reminder event, a first reminder menu, a second reminder menu, etc.), and then based on the steps. Based on the evaluation model established by S31-S33, actual warnings were given to patients with Alzheimer's disease.

In step S34, the current location data and the current time of the Alzheimer's disease patient are obtained from the wearable device 4. Specifically, the obtaining module 311 acquires the current location data and the current time of the Alzheimer's disease patient from the wearable device 4.

Step S35, determining whether the current location data matches the location data in the first reminder menu. Specifically, the determining module 314 determines whether the current location data matches the location data in the first reminder menu. If the current location data matches the location data in the first reminder menu, the flow advances to step S37. Otherwise, if the current location data does not match the location data in the first reminder menu, the flow advances to step S36.

In step S36, all the second reminder menus are called to remind the Alzheimer's disease patient. After step S36 is performed, the process is directly ended. Specifically, the reminder module 315 calls up all the second reminder menus and alerts the Alzheimer's patient through the wearable device 4 (eg, playing the second reminder menu one by one through the wearable device 4).

In step S37, it is determined whether the current time matches the creation time in the second reminder menu. Specifically, the determining module 314 determines that the current time matches the creation time in the first reminder menu. If the current time matches the creation time in the second reminder menu, the flow advances to step S39. Otherwise, if the current time does not match the creation time in the second reminder menu, the flow advances to step S38.

In step S38, all the first reminder menus are called up to remind the Alzheimer's disease patient. After the execution of step S38, the process is directly ended. Specifically, the reminder module 315 calls up all the first reminder menus and reminds the Alzheimer's disease patient through the wearable device 4 (eg, playing the second reminder menu one by one through the wearable device 4).

In step S39, the first reminder menu matching the current location data and the second reminder menu matching the current time are called to remind the Alzheimer's disease patient. Specifically, the reminder module 315 calls up a first reminder menu matching the current location data and a second reminder menu matching the current time and reminds the Alzheimer's patient through the wearable device 4 (eg, by wearable The device 4 plays a first reminder menu matching the current location data and a second reminder menu matching the current time).

The processing system and method for reminding patients with Alzheimer's disease based on multi-level menu according to the present invention establish a memory evaluation model based on the usual living habits of the patient, and establish a multi-level reminding menu based on location data and time, and periodically based on multi-level menu reminders The patient improved the effect of memory training in patients with Alzheimer's disease.

A person skilled in the art may understand that all or part of the steps of the various methods in the above embodiments may be completed by related program instructions, and the program may be stored in a computer readable storage medium, and the storage medium may include: a read only memory, a random access memory, Disk or disc, etc.

The above are only the preferred embodiments of the present invention, and are not intended to limit the scope of the invention, and the equivalent structure or equivalent process transformations made by the description of the present invention and the drawings are directly or indirectly applied to other related technical fields. The same is included in the scope of patent protection of the present invention.

Industrial applicability

Claims

A processing system for alerting Alzheimer's patients based on a multi-level menu, installed and running in a computer, the computer being communicatively coupled to the wearable device via a communication network, the wearable device also being associated with an RFID tag on a plurality of household items A communication connection, characterized in that the processing system for alerting an Alzheimer's patient based on a multi-level menu comprises computer program instructions, the computer comprising a processor adapted to implement computer program instructions and a memory adapted to store computer program instructions, The computer program instructions are loaded by the processor and perform the following steps:

Obtaining location data of Alzheimer's disease patients in the family and data in RFID tags on household items from the wearable device;

Creating a reminder event based on acquiring the location data and data in the RFID tag;

Parsing location data in all reminder events and establishing a first reminder menu, and parsing creation time in all reminder events to establish a second reminder menu;

Obtaining current location data and current time of the Alzheimer's disease patient from the wearable device;

If the current location data matches the location data in the first reminder menu and the current time matches the creation time in the second reminder menu, the first reminder menu matching the current location data is called and matched with the current time A second reminder menu to remind the Alzheimer's patient.
The processing system for alerting an Alzheimer's disease patient based on a multi-level menu according to claim 1, wherein said computer program instructions are loaded by a processor and further performing the following steps:

If the current location data does not match the location data in the first reminder menu, all second reminder menus are called up and the second reminder menu is played one by one through the wearable device to remind the Alzheimer's patient.
The processing system for alerting an Alzheimer's disease patient based on a multi-level menu according to claim 1, wherein said computer program instructions are loaded by a processor and further performing the following steps:

If the current location data matches the location data in the first reminder menu and the current time does not match the creation time in the second reminder menu, all the first reminder menus are called out and the first one is played one by one through the wearable device. Remind the menu to remind the Alzheimer's patient.
The processing system for alerting an Alzheimer's disease patient based on a multi-level menu according to claim 1, wherein the reminding event further comprises a reminding item.
The processing system for alerting an Alzheimer's disease patient based on a multi-level menu according to claim 1, wherein the second reminder menu is associated with a creation time in the reminder event, the first reminder menu and The location data is associated.
A processing method for reminding patients with Alzheimer's disease based on a multi-level menu, which is applied to a computer, the computer is communicably connected with a wearable device through a communication network, and the wearable device is also communicably connected with an RFID tag on a plurality of household items , characterized in that the method comprises the following steps:

Obtaining location data of Alzheimer's disease patients in the family and data in RFID tags on household items from the wearable device;

Creating a reminder event based on acquiring the location data and data in the RFID tag and obtaining a creation time of the reminder event;

Parsing location data in all reminder events and establishing a first reminder menu, and parsing creation time in all reminder events to establish a second reminder menu;

Obtaining current location data and current time of the Alzheimer's disease patient from the wearable device;

If the current location data matches the location data in the first reminder menu and the current time matches the creation time in the second reminder menu, the first reminder menu matching the current location data and the current time match are retrieved. A second reminder menu to remind the Alzheimer's patient.
The method according to claim 6, wherein the method comprises the following steps:

If the current location data does not match the location data in the first reminder menu, all the first reminder menus are called up and the second reminder menu is played one by one through the wearable device to remind the Alzheimer's patient.
The method according to claim 6, wherein the method further comprises the following steps:

If the current location data matches the location data in the first reminder menu but the current time does not match the creation time in the second reminder menu, all the first reminder menus are called up and the first one is played one by one through the wearable device Remind the menu to remind the Alzheimer's patient.
The method according to claim 6, wherein the reminding event further comprises a reminding item.
The method for processing an Alzheimer's disease patient based on a multi-level menu according to claim 6, wherein the second reminder menu is associated with a creation time in the reminder event, the first reminder menu and The location data is associated.