Method for providing biofeedback for personalized management, and user terminal and control method thereof.

Abstract

This invention provides a personalized biofeedback delivery method that can support personalized management and control of biological rhythms. [Solution] A biofeedback method comprising: a first step S301 of acquiring first information using at least one of a terminal and a wearable biosensor; a second step S302 of comparing a first circadian rhythm calculated based on the time when the first information was acquired via the terminal with a predetermined reference circadian rhythm and deriving a difference; and a third step S303 of transmitting a stimulus to the user's brain, based on at least one of the terminal and a stimulation device, to synchronize synchronized vibrations in multiple regions of the user's brain so that the derived difference is reduced and the first circadian rhythm becomes identical to the reference circadian rhythm.

Claims

1. The first step involves obtaining at least one of the following first information from the user's heart rate variability (HRV), electroencephalogram (EEG), heart rate, temperature, stress, body composition, weight, oxygen saturation, pulse, blood pressure, iris, voice, venous information, and electrocardiogram (ECG) information using a terminal and at least one wearable biosensor. A second step involves comparing a first circadian rhythm calculated based on the time when the first information was acquired via the terminal with a predetermined reference circadian rhythm to derive the differences, A third step, based on at least one of the terminal and stimulation devices, is to transmit a stimulus to the user's brain to synchronize synchronized vibrations in multiple regions of the user's brain so that the derived differences are reduced and the first circadian rhythm becomes identical to the reference circadian rhythm, The stimulus includes at least one of the following: a "first stimulus" using at least one of electricity, a magnetic field, and ultrasound, and a "second stimulus" using at least one of sound and light. The stimulus is a first stimulus for synchronizing gamma oscillations synchronized in multiple regions of the user's brain, a second stimulus for synchronizing any of the delta, theta, alpha, and beta oscillations synchronized in multiple regions of the user's brain, or a third stimulus that combines the first and second stimuli. A personalized method for providing biofeedback.

2. The aforementioned standard circadian rhythm is based on a 24-hour period and is divided into a "wake-up period" within one hour after the user wakes up, a "sleep period" within two hours before the user goes to sleep, and a "daily period" within the 24-hour period excluding the wake-up period and the sleep period. The difference is changed depending on whether the time when the first information is acquired falls within one of the classified "waking area," "sleep area," or "daily life area," as described in claim 1.

3. In the third step, if the user's brainwaves are synchronized by the stimulus, As a result of the synchronization of the brain waves, at least one of the user's parasympathetic and sympathetic nerves becomes faster or slower, causing the user's heart rate to increase or decrease. The personalized biofeedback method according to claim 2, wherein at least one of the user's heart rate variability, temperature, and blood pressure is modified so that the first circadian rhythm is identical to the reference circadian rhythm.

4. When both the first stimulus and the second stimulus are transmitted to the user's brain, the synchronized region is expanded, thereby shortening the time it takes for the first circadian rhythm to change to be identical to the reference circadian rhythm. When transcranial alternating current stimulation (tACS) is applied as one of the first electrical stimuli, The personalized biofeedback method according to claim 3, wherein the tACS is a first combined signal that is repeatedly turned on and off according to a first frequency which has already been set, and the signal that is turned on according to the first frequency is applied as a stimulus according to a second frequency which has already been set.

5. When both the first stimulus and the second stimulus are transmitted to the user's brain, the synchronized region is expanded, thereby shortening the time it takes for the first circadian rhythm to change to be identical to the reference circadian rhythm. When binaural beats are applied among the second auditory stimuli, The personalized biofeedback method according to claim 3, wherein the binaural beat stimulation promotes synchronization through an auditory phenomenon in which the user's brain recognizes a new frequency equal to the difference in frequency by exposing the user to sounds of different frequencies in both of the user's ears.

6. If the time when the first information is acquired is the "waking period", then the stimulus applied is the alpha wave of 8 to 13 Hz. If the time when the first information is acquired is during the "sleep region", the stimulus applied is a delta wave of less than 4 Hz. The personalized biofeedback method according to claim 2, wherein, when the time at which the first information is acquired is within the "normal range", the stimulus applied is at least one of the alpha waves of 8 to 13 Hz, the beta waves of 14 to 29 Hz, and the gamma waves of 30 to 100 Hz.

7. The steps include: executing a sound-sensing wake-up mission via the user terminal; When a sound-sensing wake-up mission is executed, the system recognizes one or more sounds from the user's clapping, laughter, and speaking via the user terminal using AI. If, as a result of the recognition, it is determined that the sound-sensing wake-up mission has been executed by generating a pre-set sound, the alarm on the user terminal is terminated. A personalized biofeedback method according to claim 1, further comprising:

8. The steps include: executing a wake-up mission using hand gesture recognition via the user terminal; When executing a wake-up mission using hand gesture recognition, the user's hand gestures captured by the user terminal are recognized using the gesture AI on the MediaPipe platform. If, as a result of the recognition, it is determined that the user has performed a specific action that has already been set up to execute the wake-up mission using hand gesture recognition, the alarm on the user terminal is terminated. A personalized biofeedback method according to claim 1, further comprising:

9. The steps include: executing a wake-up mission involving calculation problems via the user terminal; When the wake-up mission involving a calculation problem is executed, the input data entered via the user terminal is recognized using the MLKit-based digital ink recognition AI. If the recognition results indicate that the user has entered the already set correct answer and executed the wake-up mission to solve the calculation problem, the alarm on the user terminal is terminated. A personalized biofeedback method according to claim 1, further comprising:

10. The steps include: executing a wake-up mission involving inputting sleep information quiz via the user terminal; When the wake-up mission for sleep information quiz input is executed, a question generated based on the user's sleep record data is presented, and if the input data entered via the user terminal matches a pre-set correct answer and it is determined that the wake-up mission for sleep information quiz input has been executed, the alarm on the user terminal is terminated. A personalized biofeedback method according to claim 1, further comprising:

11. Steps include: analyzing the user's circadian rhythm data and providing customized management feedback categorized into sleep mode, wake mode, and daily management mode based on the analysis results; The process involves analyzing the user's circadian rhythm data, calculating the optimal sleep start time and wake-up time for the following day based on the user's average sleep duration, sleep start time, and wake-up time patterns, and providing the calculation results to the user's device as a notification or recommendation message. The method for providing personalized biofeedback according to claim 1 is further included.

12. The steps include presenting at least one sound therapy song for each sound therapy mode, and then playing and providing the sound therapy song selected by the user, A personalized biofeedback provision method according to claim 1, further comprising the steps of presenting at least one pre-set folktale data, analyzing the folktale selected by the user based on AI, and providing it in the form of a TTS service.

13. A personalized biofeedback delivery method according to claim 1, further comprising the step of measuring the user's real-time level of concentration and dividing it into three steps, and then automatically selecting and adjusting customized therapy content consisting of one or more combinations of sound therapy and electrical stimulation (tES) according to each step and providing it to the user.

14. A personalized biofeedback provision method according to claim 1, further comprising the steps of sensing the user's snoring data, visualizing the time of snoring, and notifying the user's terminal.

15. The step of detecting the user's snoring data, visualizing the duration of snoring, and notifying the user's terminal is as follows: A personalized biofeedback method according to claim 14, comprising the step of providing the user with the ability to view snoring data on the user's terminal via an alarm icon displayed on the user's terminal when snoring is detected.

16. The process involves detecting snoring sounds based on the output of a neural network model for sounds received via a microphone, and A step of determining the severity of snoring based on the results of the frequency analysis of the snoring sound, If the aforementioned snoring severity is greater than or equal to a predetermined value, the step of providing a method for reducing snoring, A personalized biofeedback method according to claim 1, further comprising:

17. The steps include determining the anterior-posterior axis length and the lateral axis length based on the results of the frequency analysis, and estimating the airway morphology based on the anterior-posterior axis length and the lateral axis length, The steps include determining the total variation norm, formant concentration, and peak intensity position based on the results of the frequency analysis, and estimating the degree of occlusion based on the total variation norm, formant concentration, and peak intensity position, A step of determining the severity of snoring based on the morphology of the airway and the degree of obstruction, A personalized biofeedback method according to claim 16, including the following:

18. The step of determining the severity of snoring based on the results of the frequency analysis of the snoring sound is: The process includes determining the severity of snoring based on the results of frequency analysis of the snoring sound and the results of image analysis of the head image, The personalized biofeedback method according to claim 16, wherein the head image includes a facial image and a medical image of the temporal region.

19. The step of determining the severity of snoring based on the results of frequency analysis of the snoring sound and the results of image analysis of the head image is as follows: The process includes the steps of applying a first weight to the results of the frequency analysis, applying a second weight to the results of the facial image analysis, and applying a third weight to the medical image of the temporal region to determine the severity of snoring. The personalized biofeedback providing method according to claim 18, wherein the third weight is greater than the second weight, and the second weight is greater than the first weight.

20. If the aforementioned snoring severity exceeds a certain threshold, the steps include recording the snoring start time, duration, and snoring sound, A step of calculating a sleep score by applying different weights to the user's sleep time, the time of snoring occurrence, and the duration of snoring according to the sleep stage, The steps include providing the user's sleep time, snoring time, duration, snoring sound, and sleep score via an alarm icon displayed on the screen, A personalized biofeedback delivery method according to claim 16, further comprising:

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