Lifestyle guidance device and method for appetite control in patients with prader willi syndrome

Abstract

A lifestyle guidance device according to one embodiment includes: a memory storing instructions; and a processor for performing predetermined operations on the basis of the instructions, wherein the operations of the processor may include: an operation of acquiring biometric information of a patient; an operation of determining the patient's eating behavior on the basis of the biometric information; and an operation of determining an alarm to be output on the basis of the biometric information and the eating behavior.

Description

Device and method for lifestyle guide for appetite control in patients with Prader-Willi syndrome

[0001] The present invention relates to a technology for monitoring the biometric information of a Prader-Willi syndrome patient, suggesting an appropriate meal time to the patient, and guiding the lifestyle habits of the Prader-Willi syndrome patient to help control appetite.

[0002]

[0003] Prader-Willi Syndrome (PWS) is a genetic disorder characterized by excessive appetite, obesity, and behavioral disorders. Obesity due to excessive appetite is a major risk factor for chronic diseases such as diabetes, hypertension, cerebrovascular disease, dyslipidemia, and sleep apnea, and is a leading cause of premature death in patients in their 20s and 30s.

[0004] Meanwhile, even though Prader-Willi syndrome patients use means such as refrigerator locks, food hiding, and constant surveillance to suppress overeating in their daily lives, the nature of the disease causes Prader-Willi syndrome patients to engage in behavioral patterns of overeating, such as stealing food, eating uncooked food, or searching through trash for food.

[0005] For patients with Prader-Willi syndrome, assessment and intervention of appetite-related behaviors are central to treatment. Appetite suppressants are being developed and actively clinically tested in the United States and Europe for Prader-Willi syndrome, but no medications have yet been officially approved. Interim results from appetite suppressant medications currently in clinical trials suggest that appetite control requires not only medication but also ongoing interventions in daily life. In particular, previous studies have shown that patients who control and manage their behaviors from an early age have significantly lower levels of anorexia and obesity compared to those who do not.

[0006] In other words, it is crucial to prevent patients with Prader-Willi syndrome from becoming severely obese. Appetite-related behaviors vary significantly depending on the eating habits and level of care provided by family members or caregivers living with the patient. Furthermore, most Prader-Willi syndrome patients are accompanied by intellectual disability, making management crucial in situations where family members or caregivers are absent from the home or outside the home.

[0007]

[0008] The problem to be solved by the present invention is to provide a technology that monitors biometric information regardless of time and place in the daily life of a Prader-Willi syndrome patient, suggests an appropriate meal time to the patient, and guides lifestyle habits through this to help control the appetite of the Prader-Willi syndrome patient.

[0009] Meanwhile, the technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by those skilled in the art from the description below.

[0010]

[0011] A method performed by a lifestyle guide device operated by a processor according to one embodiment may include: an operation of acquiring biometric information of a patient; an operation of determining an eating behavior of the patient based on the biometric information; and an operation of determining an alarm to be output based on the biometric information and the eating behavior.

[0012] In addition, the above-described determining operation may include an operation of storing changes in the biometric information as time-based statistics; an operation of determining biometric information to be observed among a plurality of pieces of biometric information based on the time-based statistics; and an operation of determining the patient's eating behavior based on the biometric information to be observed.

[0013] In addition, the biometric information may include blood sugar, heart rate, number of steps, body temperature, sleep, weight, and eating behavior, and the determining operation may include an operation of storing changes in heart rate among the biometric information as statistics by time zone; an operation of observing the heart rate based on the statistics by time zone; and an operation of determining that a case in which the heart rate falls outside a preset range at a preset time is a eating behavior of the patient.

[0014] In addition, the above-described acquiring action may include an action of acquiring blood sugar, heart rate, number of steps, body temperature, sleep, and weight among the biometric information from a wearable device, and an action of acquiring an eating action among the biometric information from a camera device.

[0015] In addition, the operation of determining the patient's eating behavior based on the biometric information may include an operation of obtaining information on a predetermined meal time; an operation of determining the patient's eating behavior based on a change in the biometric information outside of the predetermined meal time; and an operation of counting a predetermined number of times of eating behavior outside of the predetermined meal time, and designating the specific time as a time when overeating occurs if eating occurs more than a predetermined number of times at a specific time outside of the predetermined meal time.

[0016] Additionally, the operation of determining the alarm may include an operation of outputting an alarm message to the patient or guardian when the biometric information falls within a preset range.

[0017] In addition, the operation of determining the alarm may include an operation of outputting an alarm message of permission to eat to the patient or guardian at a time when the heart rate among the patient's bio-information reaches {(maximum heart rate - resting heart rate) X 0.5 + resting heart rate)}.

[0018] In addition, the operation of determining the alarm may include an operation of calculating calorie consumption based on the biometric information, and outputting an alarm message to the patient or guardian allowing eating when calorie consumption exceeds a preset value from the previous meal time.

[0019] Additionally, the action of determining the alarm may include an action of outputting an alarm message to the patient or guardian when the patient's heart rate or body temperature changes by 20% or more compared to a preset average value.

[0020] Additionally, the method may further include an action of controlling characteristics of the alarm message based on the patient's intelligence.

[0021] Additionally, the controlling operation may include an operation of acquiring the intelligence of the patient; and an operation of determining to increase the ratio of text to voice as a medium to be output as an alarm message or the number of times the alarm message is output in proportion to the input intelligence.

[0022] A lifestyle guide device according to one embodiment includes a memory including a command; and a processor that performs a predetermined operation based on the command, wherein the operation of the processor may include an operation of obtaining a patient's biometric information; an operation of determining the patient's eating behavior based on the biometric information; and an operation of determining an alarm to be output based on the biometric information and the eating behavior.

[0023] In addition, the above-described determining operation may include an operation of storing changes in the biometric information as time-based statistics; an operation of determining biometric information to be observed among a plurality of pieces of biometric information based on the time-based statistics; and an operation of determining the patient's eating behavior based on the biometric information to be observed.

[0024] In addition, the biometric information may include blood sugar, heart rate, number of steps, body temperature, sleep, weight, and eating behavior, and the determining operation may include an operation of storing changes in heart rate among the biometric information as statistics by time zone; an operation of observing the heart rate based on the statistics by time zone; and an operation of determining that a case in which the heart rate falls outside a preset range at a preset time is a eating behavior of the patient.

[0025] In addition, the above-described acquiring action may include an action of acquiring blood sugar, heart rate, number of steps, body temperature, sleep, and weight among the biometric information from a wearable device, and an action of acquiring an eating action among the biometric information from a camera device.

[0026] In addition, the operation of determining the patient's eating behavior based on the biometric information may include an operation of obtaining information on a predetermined meal time; an operation of determining the patient's eating behavior based on a change in the biometric information outside of the predetermined meal time; and an operation of counting a predetermined number of times of eating behavior outside of the predetermined meal time, and designating the specific time as a time when overeating occurs if eating occurs more than a predetermined number of times at a specific time outside of the predetermined meal time.

[0027] Additionally, the operation of determining the alarm may include an operation of outputting an alarm message to the patient or guardian when the biometric information falls within a preset range.

[0028] In addition, the operation of determining the alarm may include an operation of outputting an alarm message of permission to eat to the patient or guardian at a time when the heart rate among the patient's bio-information reaches {(maximum heart rate - resting heart rate) X 0.5 + resting heart rate)}.

[0029] In addition, the operation of determining the alarm may include an operation of calculating calorie consumption based on the biometric information, and outputting an alarm message to the patient or guardian allowing eating when calorie consumption exceeds a preset value from the previous meal time.

[0030] Additionally, the action of determining the alarm may include an action of outputting an alarm message to the patient or guardian when the patient's heart rate or body temperature changes by 20% or more compared to a preset average value.

[0031] Additionally, the method may further include an action of controlling characteristics of the alarm message based on the patient's intelligence.

[0032] Additionally, the controlling operation may include an operation of acquiring the intelligence of the patient; and an operation of determining to increase the ratio of text to voice as a medium to be output as an alarm message or the number of times the alarm message is output in proportion to the input intelligence.

[0033] A computer-readable recording medium storing a computer program according to one embodiment, the computer-readable recording medium may include instructions for causing a processor to perform a method including: obtaining biometric information of a patient; determining a patient's eating behavior based on the biometric information; and determining an alarm to be output based on the biometric information and the eating behavior.

[0034]

[0035] The present invention monitors a patient's biometric information, such as blood sugar, heart rate, step count, body temperature, sleep, weight, and eating behavior. Based on changes in this biometric information, the patient's eating behavior can be determined, and based on this, the patient's eating times can be suggested. Thus, the present invention monitors biometric information regardless of time or location in the daily lives of Prader-Willi Syndrome patients, suggesting appropriate eating times for the patient, and thereby guiding lifestyle habits to improve appetite control in PWS patients.

[0036] Meanwhile, the effects of the present invention are not limited to those mentioned above, and other technical effects not mentioned can be clearly understood by those skilled in the art from the description below.

[0037]

[0038] Figure 1 is a configuration diagram of a lifestyle habit guide device according to one embodiment.

[0039] Figure 2 is a flowchart showing the steps of operations performed by a lifestyle guide device according to one embodiment.

[0040] Figure 3 is an example diagram of a predetermined basic eating time according to one embodiment.

[0041] FIG. 4 is an example diagram of operations performed by a device according to the time at which eating occurs when a basic eating time is set according to one embodiment.

[0042]

[0043] The purpose, technical configuration, and resulting operational effects of the present invention will be more clearly understood through the following detailed description based on the drawings attached to the specification of the present invention. The following describes embodiments of the present invention in detail with reference to the attached drawings.

[0044] The embodiments disclosed herein should not be construed or used to limit the scope of the present invention. Those skilled in the art will readily appreciate that the descriptions herein, including the embodiments, have a wide range of applications. Therefore, any embodiments described in the detailed description of the present invention are intended to serve as illustrative examples to better illustrate the present invention and are not intended to limit the scope of the present invention to the embodiments.

[0045] The functional blocks depicted in the drawings and described below are merely examples of possible implementations. Other implementations may utilize other functional blocks without departing from the spirit and scope of the detailed description. Furthermore, while one or more functional blocks of the present invention are depicted as individual blocks, one or more of the functional blocks of the present invention may be a combination of various hardware and software configurations that perform the same function.

[0046] Additionally, the expression “including certain components” is an “open” expression, simply indicating the presence of those components, and should not be understood as excluding additional components.

[0047] Furthermore, when it is said that a component is “connected” or “connected” to another component, it should be understood that it may be directly connected or connected to that other component, but there may also be other components in between.

[0048] Hereinafter, various embodiments of the present invention will be described with reference to the accompanying drawings. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that various modifications, equivalents, and / or alternatives of the embodiments of the present invention are included.

[0049] FIG. 1 is a configuration diagram of a lifestyle guide device (100) (hereinafter referred to as 'device (100)') according to one embodiment.

[0050] Referring to FIG. 1, a device (100) according to one embodiment may each include a memory (110), a processor (120), an input / output interface (130), and a communication interface (140).

[0051] The memory (110) can store data acquired from an external device or data generated by the device itself. The memory (110) can include volatile memory and non-volatile memory. The memory (110) can store instructions that can perform the operations of the processor (120). In addition, the memory (110) can store the patient's biometric information records and time-based meal statistics, which will be described later.

[0052] The processor (120) is a computing device that controls overall operations. The processor (120) can execute instructions stored in the memory (110). The operation of the device (100) according to the embodiment of this document can be understood as an operation performed by the processor (120).

[0053] The input / output interface (130) may include a hardware interface or software interface for inputting or outputting information.

[0054] The communication interface (140) enables information to be transmitted and received via a communication network. To this end, the communication interface (140) may include a wireless communication module or a wired communication module.

[0055] The device (100) may be implemented in various forms of devices capable of performing operations through a processor (120) and transmitting and receiving information through a network. For example, the device may be implemented in the form of a server, a computer device, a portable communication device, a smart phone, a portable multimedia device, a laptop, a tablet PC, etc., but is not limited to these examples.

[0056] FIG. 2 is a flowchart of operations performed by a device (100) according to one embodiment. The operations of the device (100) according to the embodiment of FIG. 2 can be understood as operations performed by a processor (120). Each step disclosed in FIG. 2 is merely a preferred embodiment for achieving the purpose of the present invention, and some steps may be added or deleted as needed, and one step may be included and performed in another step. The order of each operation disclosed in FIG. 2 is merely an order arranged for the convenience of understanding, and this order is not limited to a chronological order, and the order may be changed and operated differently depending on the designer's choice.

[0057] Referring to FIG. 2, in step S1010, the device (100) may acquire biometric information of a patient. For example, the patient may include a patient with Prader-Willi Syndrome (PWS). Prader-Willi Syndrome is a genetic disorder characterized by excessive appetite, obesity, and behavioral disorders.

[0058] For example, the device (100) may further include a wearable device or a camera device internally to obtain biometric information, or may be linked with an external device, such as a wearable device or a camera device.

[0059] Biometric information may include blood sugar, heart rate, steps, body temperature, sleep, weight, and eating behavior.

[0060] For example, biometric information such as blood sugar, heart rate, number of steps, body temperature, sleep, and weight can be obtained from wearable devices that measure such information.

[0061] For example, eating behavior among biometric information can be obtained from a camera device that recognizes such information.

[0062] In step S1020, the device (100) can determine the patient's eating behavior based on the patient's biometric information.

[0063] For example, the device (100) can store changes in the patient's biometric information as statistical information by time zone, determine biometric information to be observed among a plurality of biometric information based on the statistics by time zone, and determine the patient's eating behavior based on the biometric information to be observed.

[0064] For example, the device (100) stores changes in the patient's heart rate as statistical information by time zone through a wearable device, observes the patient's heart rate in real time based on the statistics by time zone, and determines that the patient is engaging in eating behavior when the patient's heart rate falls outside a preset range at a preset time (e.g., a time set as a time when the patient mainly overeats).

[0065] For example, the device (100) stores the patient's blood sugar change as statistical information by time period through a wearable device, observes the patient's blood sugar change in real time based on the statistics by time period, and determines that the patient is eating when the patient's blood sugar goes out of the preset range at a preset time (e.g., a time set as a time when the patient mainly overeats).

[0066] For example, the device (100) can recognize the patient's behavior through a camera device, and if the patient takes a eating action, it can be determined that the patient is taking a eating action.

[0067] In step S1030, the device (100) can determine an alarm to output to the patient or guardian based on biometric information and eating behavior.

[0068] For example, the device (100) may output an alarm message to the patient or guardian when the patient's biometric information falls within a range as in the following example.

[0069] For example, the device (100) can output an alarm message to the patient or guardian to allow eating when the patient's heart rate reaches {(maximum heart rate - resting heart rate) X 0.5 + resting heart rate)} among the patient's biometric information. This is to have the patient do simple exercise before eating to increase the heart rate and burn calories.

[0070] For example, the device (100) can measure the number of steps, jogging in place, and squats based on the patient's biometric information, calculate the calorie consumption proportional to the number of steps, and output an alarm message to the patient or guardian allowing them to eat if the calorie consumption exceeds a preset value from the previous meal time. This is to ensure that the patient consumes an appropriate amount of calories from the previous meal time.

[0071] For example, the device (100) may output an alarm message to the patient or guardian when the patient's heart rate or body temperature changes by 20% or more compared to a preset average value. This is to detect cases where the patient is experiencing shock during daily life or eating.

[0072] In step S1030, the device (100) can set different criteria for judging the patient's eating behavior when a guardian is present near the patient. For example, the device (100) can determine whether the location information of the guardian's terminal is within a preset range from the device (100), and when the guardian is within a preset range from the device (100), the device can control the notification message differently from the default state (e.g., turn off notification) according to the settings of the guardian's terminal (e.g., allow eating).

[0073] An example of utilizing the device (100) by combining these embodiments is described through the following Figures 3 and 4.

[0074] FIG. 3 is an example diagram of a predetermined basic feeding time according to one embodiment, and FIG. 4 is an example diagram of an operation performed by a device according to the time at which feeding occurs when a basic feeding time is determined according to one embodiment.

[0075] The device (100) can obtain the patient's basic meal time information, as shown in FIG. 3. Referring to FIG. 3, the patient eats breakfast between 7:00 and 8:00 AM, lunch between 12:00 and 1:00 PM, and dinner between 6:00 and 7:00 PM from Monday to Friday. In addition, the patient eats breakfast between 9:00 and 10:00 AM, lunch between 1:00 and 2:00 PM, and dinner between 6:00 and 7:00 PM from Saturday to Sunday. The device (100) can set the meal times set as the "basic meal times" as shown in FIG. 3. In addition, if eating occurs outside of these times, the device (100) can determine that it is eating other than the basic meal times (e.g., overeating).

[0076] In a situation where the device (100) acquires information such as that in FIG. 3, referring to FIG. 4, in step S1021, the device (100) can monitor the patient's bio-information, and in step S1022, the device (100) can determine the patient's eating behavior based on changes in the patient's bio-information.

[0077] At step S1023, the device (100) can determine whether the time at which the patient's eating behavior is determined to have occurred corresponds to the basic eating time of FIG. 3.

[0078] If, as a result of the determination in step S1023, eating occurred during the basic eating time, the device (100) records that the eating occurred during the basic eating time in step S1024, updates statistical information, and can continue to monitor the patient.

[0079] If it is determined in step S1023 that eating has occurred at a time other than the basic eating time, the device (100) can count the number of times that eating has occurred outside the basic eating time in step S1025, and if eating has occurred more than a predetermined number of times at a specific time other than the basic eating time, the device (100) can designate that time as the time when overeating mainly occurs. In addition, the device (100) can output a notification message to the patient or guardian regarding whether the patient has overeated in step S1026. Thereafter, the device (100) can record the time when eating occurred in S1022 and the patient's biometric information accordingly in step S1024 to update statistical information, and can continuously monitor the patient.

[0080] Meanwhile, the device (100) may provide a reward to the patient or guardian based on the patient's statistical information according to the monitoring of FIGS. 3 and 4. For example, when the patient reaches a preset target value, such as the number of overeating counts per month (e.g., less than 3 times), the number of times hyperglycemia occurs (e.g., less than 3 times of hyperglycemia of 200 or higher), target weight, or target waist circumference, the server manager providing the service of the device (100) may provide a coupon (e.g., shopping mall, game item, point, etc.) as a reward to the patient or guardian.

[0081] Referring back to FIG. 2, in step S1040, the device (100) can control the characteristics of the alarm message based on the patient's intelligence. For example, the device (100) can acquire the patient's intelligence (e.g., input IQ) and increase the ratio of text to voice as a medium to output the alarm message in proportion to the input intelligence. For example, the device (100) can acquire the patient's intelligence (e.g., input IQ) and determine to increase the number of times the alarm message is repeatedly output. This is to output an alarm message that takes intelligence into consideration, as most Prader-Willi syndrome patients are accompanied by intellectual disability.

[0082] According to the above-described embodiment, the present invention monitors the patient's biometric information, such as blood sugar, heart rate, number of steps, body temperature, sleep, weight, and eating behavior, and can determine the patient's eating behavior based on changes in the biometric information, and can suggest the patient's eating time based on the information. Through this, the present invention monitors biometric information regardless of time and place in the daily life of a Prader-Willi Syndrome patient, suggests an appropriate eating time to the patient, and thereby guides lifestyle habits, thereby improving appetite control in PWS patients.

[0083] The various embodiments and terms used in this document are not intended to limit the technical features described in this document to specific embodiments, but should be understood to encompass various modifications, equivalents, or alternatives of the embodiments. In connection with the description of the drawings, similar reference numerals may be used to refer to similar or related components. The singular form of a noun corresponding to an item may include one or more items, unless the context clearly indicates otherwise.

[0084] In this document, the phrases "A or B", "at least one of A and B", "at least one of A or B," "A, B, or C," "at least one of A, B, and C," and "at least one of A, B, or C" can each include all possible combinations of the items listed together in that phrase. Terms such as "1", "2", or "first" or "second" may be used merely to distinguish the corresponding component from other corresponding components and do not limit the corresponding components in any other respect (e.g., importance or order). When a (e.g., a first) component is referred to as "coupled" or "connected" to another (e.g., a second) component, with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0085] The term "module" as used herein may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0086] Various embodiments of the present document may be implemented as software (e.g., a program) including one or more instructions stored in a storage medium (e.g., a memory) readable by a device (e.g., an electronic device). The storage medium may include random access memory (RAM), a memory buffer, a hard drive, a database, erasable programmable read-only memory (EPROM), electrically erasable read-only memory (EEPROM), read-only memory (ROM), and / or the like.

[0087] Additionally, the processor of the embodiments of the present document can call at least one command among one or more commands stored from a storage medium and execute it. This enables the device to operate to perform at least one function according to the at least one command called. These one or more commands may include code generated by a compiler or code executable by an interpreter. The processor may be a general-purpose processor, a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), and / or the like.

[0088] A device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, "non-transitory" simply means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves). This term does not distinguish between cases where data is stored semi-permanently or temporarily on the storage medium.

[0089] The methods according to various embodiments disclosed in this document may be provided as a computer program product. The computer program product may be traded as a commodity between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) through an application store (e.g., Play Store) or directly between two user devices (e.g., smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated on a machine-readable storage medium, such as a manufacturer's server, an application store's server, or a server's memory.

[0090] According to various embodiments, each component (e.g., a module or a program) of the described components may include one or more entities. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

Claims

1. A method for performing a lifestyle guide device operated by a processor, Actions to obtain patient's biometric information; An action for determining the patient's eating behavior based on the above biometric information; and Including an action of determining an alarm to be output based on the above biometric information and the above eating behavior. method.

2. In paragraph 1, The above judging action is, An action of saving changes in the above biometric information as statistics by time zone; An operation of determining biometric information to be observed among multiple biometric information based on the above time zone-specific statistics; and Including an action of determining the patient's eating behavior based on the above observed biometric information. method.

3. In paragraph 1, The above biometric information is, Includes blood sugar, heart rate, steps, body temperature, sleep, weight and eating behavior. The above judging action is, An action of saving changes in heart rate among the above biometric information as statistics by time zone; An action of observing the heart rate based on the above time zone statistics; and Including an action of determining that the patient's eating behavior occurs when the heart rate falls outside the preset range at a preset time. method.

4. In paragraph 3, The above acquisition action is, Includes an action of obtaining blood sugar, heart rate, number of steps, body temperature, sleep, and weight from a wearable device among the above biometric information. Including an action of acquiring eating motion among the above biometric information from a camera device. method.

5. In paragraph 3, The action of determining the patient's eating behavior based on the above biometric information is as follows: The act of obtaining information about scheduled meal times; An action to determine the patient's eating behavior based on changes in the biometric information outside of the above-mentioned predetermined meal times; and An action that includes counting the number of times that overeating occurs outside of the above-mentioned preset meal times, and designating the specific time as the time when overeating occurs if overeating occurs more than the preset number of times during a specific time outside of the above-mentioned preset meal times. method.

6. In paragraph 1, The action that determines the above alarm is: Including an action of outputting an alarm message to the patient or guardian when the above biometric information falls within a preset range. method.

7. In paragraph 6, The action that determines the above alarm is: An action including outputting an alarm message to the patient or guardian to allow eating when the heart rate among the patient's bio-information reaches {(maximum heart rate - resting heart rate) X 0.5 + resting heart rate)}. method.

8. In paragraph 7, The action that determines the above alarm is: An operation including calculating calorie consumption based on the above biometric information and outputting an alarm message to the patient or guardian allowing eating if calorie consumption exceeds a preset value from the previous meal time. method.

9. In paragraph 8, The action that determines the above alarm is: Including an action of outputting an alarm message to the patient or guardian when the heart rate or body temperature of the patient changes by 20% or more compared to a preset average value. method.

10. In paragraph 9, The above method, Further comprising an action to control the nature of the alarm message based on the patient's intelligence. method.

11. In paragraph 10, The above controlling actions are: Actions to acquire the intelligence of said patient; and Including an action to determine to increase the ratio of text to voice or the number of times the alarm message is output as a medium to be output as an alarm message in proportion to the input intelligence. method.

12. Memory containing instructions; and Includes a processor that performs a predetermined operation based on the above command, The operation of the above processor is: Actions to obtain patient's biometric information; An action for determining the patient's eating behavior based on the above biometric information; and Including an action of determining an alarm to be output based on the above biometric information and the above eating behavior. Lifestyle habit guide device.

13. In paragraph 12, The above judging action is, An action of saving changes in the above biometric information as statistics by time zone; An operation of determining biometric information to be observed among multiple biometric information based on the above time zone-specific statistics; and Including an action of determining the patient's eating behavior based on the above observed biometric information. Lifestyle habit guide device.

14. In paragraph 12, The above biometric information is, Includes blood sugar, heart rate, steps, body temperature, sleep, weight and eating behavior. The above judging action is, An action of saving changes in heart rate among the above biometric information as statistics by time zone; An action of observing the heart rate based on the above time zone statistics; and Including an action of determining that the patient's eating behavior occurs when the heart rate falls outside the preset range at a preset time. Lifestyle habit guide device.

15. In paragraph 14, The above acquisition action is, Includes an action of obtaining blood sugar, heart rate, number of steps, body temperature, sleep, and weight from a wearable device among the above biometric information. Including an action of acquiring eating motion among the above biometric information from a camera device. Lifestyle habit guide device.

16. In paragraph 14, The action of determining the patient's eating behavior based on the above biometric information is as follows: The act of obtaining information about scheduled meal times; An action to determine the patient's eating behavior based on changes in the biometric information outside of the above-mentioned predetermined meal times; and An action that includes counting the number of times that overeating occurs outside of the above-mentioned preset meal times, and designating the specific time as the time when overeating occurs if overeating occurs more than the preset number of times during a specific time outside of the above-mentioned preset meal times. Lifestyle habit guide device.

17. In paragraph 12, The action that determines the above alarm is: Including an action of outputting an alarm message to the patient or guardian when the above biometric information falls within a preset range. Lifestyle habit guide device.

18. In paragraph 13, The action that determines the above alarm is: An action including outputting an alarm message to the patient or guardian to allow eating when the heart rate among the patient's bio-information reaches {(maximum heart rate - resting heart rate) X 0.5 + resting heart rate)}. Lifestyle habit guide device.

19. In paragraph 18, The action that determines the above alarm is: An operation including calculating calorie consumption based on the above biometric information and outputting an alarm message to the patient or guardian allowing eating if calorie consumption exceeds a preset value from the previous meal time. Lifestyle habit guide device.

20. In paragraph 19, The action that determines the above alarm is: Including an action of outputting an alarm message to the patient or guardian when the heart rate or body temperature of the patient changes by 20% or more compared to a preset average value. Lifestyle habit guide device.

21. In paragraph 20, The action that determines the above notification is: Further comprising an action to control the nature of the alarm message based on the patient's intelligence. Lifestyle habit guide device.

22. In paragraph 21, The above controlling actions are: Actions to acquire the intelligence of said patient; and Including an action to determine to increase the ratio of text to voice or the number of times the alarm message is output as a medium to be output as an alarm message in proportion to the input intelligence. Lifestyle habit guide device.

23. A computer-readable recording medium storing a computer program, Actions to obtain patient's biometric information; An action for determining the patient's eating behavior based on the above biometric information; and A computer-readable recording medium comprising instructions for causing a processor to perform a method including an action of determining an alarm to be output based on the biometric information and the eating behavior.

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