KR102678748B1 - Autonomic nerve stabilization system to improve sleep quality - Google Patents

Abstract

The present invention is an autonomic nerve stabilization system that monitors lifestyle patterns and electrocardiogram signals, collects resting electrocardiogram waveforms, and plays sound sources to which resting electrocardiogram waveforms are applied in stressful situations to help stabilize the autonomic nervous system and improve cognitive function. It's about.

Description

Autonomic nerve stabilization system to improve sleep quality}

The present invention relates to an autonomic nervous system stabilization system. Specifically, it monitors lifestyle patterns and electrocardiogram signals, collects resting electrocardiogram waveforms, and plays sound sources to which resting electrocardiogram waveforms are applied in stressful situations to stabilize the autonomic nervous system and provide cognitive awareness. It is about an autonomic nervous system stabilization system to improve sleep quality that helps improve function.

Dementia is a clinical syndrome in which cognitive functions in various areas such as memory, language, and judgment are acquired, and cognitive functions such as memory, language, and judgment are reduced, making it difficult to carry out daily life properly. It includes senile dementia called Alzheimer's disease and vascular dementia caused by stroke, etc., but has not been clearly identified. It is believed to be caused by various causes such as aging, various stresses, and a sense of loss.

Like other diseases, it is most important to detect dementia early, but dementia symptoms progress very slowly and often go unnoticed by patients or their guardians, and many aspects of the cause and treatment are not yet clear, so what can be done? Prevention is more important than ever.

To prevent dementia, regular exercise, quitting smoking and drinking alcohol, consuming foods that are good for brain health, maintaining an appropriate weight, and consistently engaging in social activities, positive thinking, and brain activity are required, but these are basic requirements for a healthy life. Recently, research results have revealed that dementia can be effectively prevented by stabilizing the autonomic nervous system and improving cognitive ability.

In addition, research results were published in 2013 that provide a clue to unlocking the secret of the relationship between sleep and dementia. The brain is also cleaned while sleeping, and more waste accumulates in the brain during deep sleep than during light sleep or dreaming sleep. It was also confirmed through a verification study that it was cleaned and drained.

In other words, sleeping well has been confirmed as another way to prevent dementia, but 69-80% of people over 60 years old have sleep disorders, and sleep apnea and restless legs are also known to occur frequently in the elderly. Medical and orthopedic diseases can interfere with sleep, and melatonin hormone levels decrease to half by age 55 and to one-third of youth levels by people in their 70s, which are factors that hinder the prevention of dementia. This has been confirmed, and ways to solve this problem are being actively researched.

Republic of Korea Patent No. 10-2220738 (2021.02.22)

The present invention was created to solve the above problems, and the purpose of the present invention is to collect and monitor lifestyle patterns and electrocardiograms, obtain electrocardiogram waveforms in a stable state, and reflect the electrocardiogram waveform in the resting state in a stressful situation to generate sound waves. By providing reconstructed sound sources, it provides a rhythmic nerve stabilization system to improve sleep quality that helps stabilize stress levels and autonomic nerves and improve cognitive function.

For the above purpose, the present invention provides a measurement module including a first sensor unit that measures the user's electrocardiogram signal and a second sensor unit that collects the user's location and behavior information; An analysis module that collects and analyzes waveform information including the amplitude and frequency of the heartbeat through the measured electrocardiogram signal and extracts waveform information of psychological stability; A sound source management system comprising a sound wave generation unit that extracts characteristic vectors for the amplitude and frequency of the waveform information of the stabilizer and generates sound wave information with the same sound wave characteristics, and a sound source storage unit that receives and stores a plurality of sound sources with a BPM in a set range. module; A monitoring module that monitors and analyzes the user's location and behavior information measured through the second sensor unit to determine the operating time and operating mode for learning and sleeping; As determined to be the operating time, a sound source processing module extracts a sound source identical to the BPM according to the waveform information of the psychological stabilizer from the sound source storage unit and then processes the searched sound source by reflecting the sound wave information generated through the sound wave generation unit; An output module including an output unit that outputs the processed sound source so that the user can hear it, and a timer unit that sets and controls the sound source output time in response to the determined operating mode; It is characterized by .

At this time, a tracking unit that analyzes real-time changes in the electrocardiogram signal collected through the measurement module during the operation time of the output module, and a reset and resetting of the sound source output time by reflecting the change rate when the electrocardiogram signal analysis results determine a stable sleep progress range. A sleep support module including a control unit that controls a fade-out change in volume corresponding to the output time; It may further include.

In addition, a cognitive unit that determines the user's condition through collected electrocardiogram signals and behavioral information and recognizes situations of increased stress, a link unit that derives correlation information by linking changes in increased stress with behavioral information, and accumulated correlation An interlocking module including a setting unit that generates reference information that can be judged as stable by the analysis module as it analyzes information; It is characterized in that it further includes.

In addition, life support is provided with a pattern analysis unit that generates life pattern information through cumulatively collected behavior information, and a preventive operation unit that operates the output module using life pattern information and correlation information according to the user's current behavior information. module; It is characterized in that it further includes.

The present invention helps subjects solve stress and sleep disorders, which are one of the causes of dementia, and helps stabilize the autonomic nervous system and improve cognitive function not only in daily life but also in learning situations.

In particular, by using a sound source that reflects the resting heart rate waveform rather than drugs or a method that affects brain waves, anyone can use it without any side effects or resistance, and the range of sound source choices is wide, and more accurate customized care can be achieved through the monitoring and feedback process. .

1 is a conceptual diagram of the present invention;
Figure 2 is a block diagram showing the configuration and connection relationship according to one embodiment of the present invention.

Hereinafter, the configuration of the autonomic nerve stabilization system of the present invention will be described in detail with reference to the attached drawings.

Figure 1 is a conceptual diagram of the present invention. The present invention helps stabilize stress and autonomic nerves by listening to sound sources optimized by reflecting the heart rate of the user's mental stability during activities, especially during study time or before sleep.

In other words, it is possible to improve an individual's cognitive reserve through interventions such as appropriate training, and by using the present invention in parallel, this learning effect can be greatly increased, and stress, low-quality sleep, and sleep disorders can be reduced. Allow it to be resolved.

Figure 2 is a block diagram showing the configuration and connection relationship according to one embodiment of the present invention. The main components for this purpose are a measurement module 110, an analysis module 120, a sound source management module 130, In addition to the monitoring module 140, the sound source processing module 150, and the output module 160, it is equipped with a sleep support module 170, an interlocking module 180, and a life support module 190 to improve effectiveness. I do it.

The measurement module 110 is configured to measure the user's electrocardiogram signal and collect the user's behavior information. It includes a first sensor unit 111 that measures the user's electrocardiogram signal and collects the user's location and behavior information. It consists of a second sensor unit 112.

It is made in a form that can be carried by the user at all times, such as a cane, and can be used by holding it in the hand, but it is also made in a form that can be worn or attached to the body, for example, the wrist, or various other parts where ECG can be measured, so it provides not only the user's ECG signal but also movement information. It is configured to obtain together.

The electrocardiogram signal collected through the first sensor unit 111 induces the active current generated in the myocardium according to the heartbeat to two appropriate locations on the body surface and records it with an ammeter, thereby obtaining a record of the myocardial active current. In the present invention, the ECG waveform serves as a very important element in the measured ECG signal.

Figure 1 contains a graph showing a typical electrocardiogram waveform, where P in the curve represents contraction of the atrium, and QRST originates from contraction of the ventricle.

At this time, the PQ interval represents the time when excitation occurs in the sinus node and is conducted to the atrioventricular node of the impulse conduction system.

In addition, the QRS complex usually coincides temporally with the apex beat and the beginning of the first heart sound, so R shows the largest voltage change, and the area between S and T is when the entire ventricle is contracting on average. The rise of the T occurs because contraction of the base of the heart remains even after contraction of the apex has ended. The end of T coincides temporally with the beginning of the second heart sound.

The second sensor unit 112 basically consists of a GPS module, an IMU sensor, or a 3-axis acceleration sensor and measures the user's location, posture change, speed of change for position movement, and amount of displacement. Through this, it is possible to determine where and in what direction the user moves, and through this, information related to major actions such as walking, running, sitting, and standing, as well as the direction and speed at which the user moves, can be identified as behavioral information. It may vary depending on which sensor is used and how, but in the embodiment of the present invention, basically where the user is located and whether he or she is moving or resting or performing a set action are classified as behavioral information, and in the case of sleeping or learning activities, the user It is configured so that behavioral information can be entered directly.

The analysis module 120 collects and analyzes waveform information including the amplitude and frequency of the heartbeat through the measured electrocardiogram signal and extracts waveform information of the psychological stabilizer.

In order to obtain an ECG signal in a stable state or as close to it as possible, it is necessary to obtain an ECG signal that is judged to be in the most stable state through multiple measurements over a period of time when the stress source is removed, rather than a one-time measurement.

For this purpose, the electrocardiogram signal is continuously measured in advance with no stress sources or removed as much as possible, and heart information is also input, or the autonomic nervous system measurement equipment is used to measure continuously for a set period of time, and then based on the heart rate variability (HRV). The balance of autonomic nervous system (Balance of Autonomic Nervous System) can be quantified using the standard derivation method and the value expressed can be used as mental information. ECG waveform information is extracted from the ECG signal in the psychologically stable state.

The sound source management module 130 receives and stores sound sources to be used for stress relief, and includes a sound wave generator 131 and a sound source storage unit 132 in detail.

The sound wave generator 131 is configured to generate sound waves with the same sound wave characteristics by extracting feature vectors for the amplitude and frequency of the waveform information of the stabilizer. That is, through analysis of changes in the normal rhythm P-QRS-T waveform of the electrocardiogram in the user's resting state, feature vectors for amplitude and frequency are extracted and converted to the same sound wave.

The sound source storage unit 132 is configured to receive and store a plurality of sound sources having a BPM in a set range, and can receive and utilize sound sources such as various music or natural sounds that can provide mental and physical stability in advance. In particular, a sound source with the same BPM as the resting heart rate is effective, so it is possible to artificially adjust the speed of a specific sound source to have a specific BPM, but it is preferable to collect and store a separate sound source with the corresponding BPM if possible.

That is, since the range of a person's normal heart rate is 60 to 100 beats per minute, a number of sound sources with BPMs in the range are received based on this.

It can be configured to provide and manage sound source information including scale, chords, chord progression, and instruments that make up the sound source, and receive recommendations from advance experts for sound sources suitable for the set sound source information or systematically exclude sound sources that are unsuitable for the sound source information. It can also be configured to do so.

This is to provide music with an optimal effect as the scale of the music, chords and chord progression, and instruments can affect the stress relieving effect. In the embodiment of the present invention, repetitive G-C-D-G in 4/4 time. Although keyboard and guitar ensemble music was used as a rhythm pattern composed of chords, it is natural that sound sources with various characteristics can be used.

Scale used in sound sources refers to the arrangement of a certain note to a note one octave higher. The notes used change depending on the scale used when making music, and the atmosphere is determined accordingly. Most music we listen to uses the Ionian scale or Aeolian scale, which are called the major scale and minor scale, respectively.

This means that the music most familiar to our ears is created using the two scales immediately above. Music in the major scale creates a bright atmosphere, and music in the minor scale creates a dark atmosphere. Healing beat's music uses Major Scale to create a bright atmosphere that is familiar to our ears.

The chord used is called a Diatonic Chord, as it is created by stacking each note of the scale mentioned above. Since it is a code created using notes belonging to a scale, it can be said that there is no sense of heterogeneity in a given scale. Healing beat uses music composed based on the G Major scale, and the corresponding diatonic chords are G, Am, Bm, C, D, Em, F#m7(b5). Among them, excluding F#m7 (b5), which can be said to be unstable in composition, it was made using the remaining six chords.

The chord progression of 1-6-4-5 is a type that can be easily found in many songs, and the most common progression that people can easily listen to is used. The Bridge section also uses the commonly seen progression of 4-5-3-6 degrees and the progression of 2-1-4-5 degrees to select the most natural progression within the Diatonic Chord. The 1-6-4-5 progression from earlier appears again, ending the song with a familiar feeling.

Use music composed so that the progression of the melody is sufficiently predictable, and avoid using excessive jumps (more than 8 degrees) or notes that are not included in the scale. Progression to the fourth degree, which can cause anxiety, is also excluded.

It was composed to be easy to listen to using mainly sequential progression (ascending, descending), and an appropriate speed must be maintained to increase the BPM from 60 to 100, but the use of eighth notes mainly makes the song feel like it is stretching or is too fast. Avoid feeling it.

The choice of instrument is guitar and piano, which are the most easily accessible instruments around. The piano is used to play the background with chords, and the melody is played on top of the guitar.

The monitoring module 140 monitors and analyzes the user's location and behavior information measured through the second sensor unit 112 to determine the operating time and operating mode for learning and sleeping.

In other words, as mentioned above, behavioral information is information that indicates where and what actions the user performs, and in particular, the operating time is pre-sleep and pre-study situations, which are the basic points in which the present invention is applied, and the operating time in each situation is The mode is set.

In the case of learning, it can be effective learning for general cognitive rehabilitation, and by recognizing the place and specific behavior for cognitive rehabilitation, it can be determined that it is the operating time for learning. Sleep can also be recognized as the time to operate for sleep by recognizing the user's behavior of lying down in the set sleeping place. If it is difficult to determine due to a standardized behavior pattern, the corresponding operating mode can be achieved by having the user learn and input the sleep situation. You can.

Basically, the operating mode is the same in that it outputs a sound source processed through the waveform information of the psychological stabilizer, as will be described later, but it can be set to be output by varying the playback time, playback volume change, and sound source settings. For example, in the case of an operating mode for learning, the volume is configured to maintain the same volume for a set time corresponding to the sound source so that the user can listen to the sound source to the end, and in an operating mode for sleeping, the playback time is set to a relatively high level considering that the user may fall asleep while listening. The volume can be adjusted by fading out this long sound source within a set time.

The sound source processing module 150 extracts a sound source identical to the BPM according to the waveform information of the psychological stabilizer from the sound source storage unit 132 as determined by the monitoring module 140 as the operating time, and generates the sound wave using the searched sound source. It is a configuration that reflects and processes the sound wave information generated through the unit 131.

That is, basically, a song is selected whose heart rate BPM of the user's psychological stability matches the BPM of the sound source in the sound source storage unit 132, and the extracted sound source is converted into a sound wave generated through the sound wave generator 131. It is reflected and processed so that the sound wave characteristics of the sound source are the same as the sound wave extracted from the feature vector of the user's resting heart rate waveform.

The output module 160 operates to relieve stress through a sound source, and includes an output unit 161 and a timer unit 162 in detail.

The output unit 161 is configured to correspond to a speaker and may operate in conjunction with a separate speaker or audio system installed so that the user can listen, and the user can listen to the sound source processed through the sound source processing module 150. The output is output at an appropriate volume level.

The timer unit 162 is configured to set and control the bedtime and sound source output time. Basically, it allows the user to listen to the sound source 10 to 20 minutes, preferably 15 minutes before going to bed and studying, but especially It is configured so that the user can set the time so that sound source playback will stop after a set time even if the user falls asleep while listening to the sound source while sleeping.

The present invention applies the Beat induction intervention program using beats and sound waves, called the Healing Beat Program, to various patients to improve cognition, and outputs a sound source with the same waveform characteristics as the electrocardiogram waveform at rest to users exposed to various stressors. The effect of inducing sedation and improving autonomic nervous system stability and cognitive ability through these sound sources can be proven through various research papers in which the present inventor participated.

The sleep support module 170 controls the playback time and volume of the sound source as the user enters a sleep state while listening to the aforementioned sound source, induces deeper sleep, and improves sleep quality, and is tracked in detail. It is provided with a unit 171 and a control unit 172.

The tracking unit 171 is a component that analyzes real-time changes in the electrocardiogram signal collected through the measurement module 110 during the operation time of the output module. In other words, when entering sleep normally, the electrocardiogram changes are alleviated to the same extent as during sleep.

ECG changes during sleep may vary slightly depending on the person, but basically, it is common for it to gradually decrease until deep sleep and then gradually recover until waking up, or to continue to decrease until waking up, depending on the case. It may rise for a certain period of time if you deviate from the normal pattern and go to bed late or if melatonin is initially secreted excessively to help you sleep. Preferably, the individual's heart rate during stable sleep is measured in advance and applied, or compared with the resting electrocardiogram to determine that sleep is progressing. If an unstable electrocardiogram appears in the case of a dream or REM sleep disorder, it is necessary to continuously secure the playback time of the sound source even during actual sleep.

The control unit 172 is configured to control the sound source output time to be reset and the volume fade-out change corresponding to the reset output time by reflecting the change rate when it is determined that the sleep progress range is stable as a result of electrocardiogram signal analysis.

In other words, playing a sound source with the volume not properly controlled when entering sleep may actually interfere with improving the quality of sleep. Therefore, when entering a stable sleep state is confirmed through the tracking unit 171, the volume is gradually reduced and the sound source playback is stopped. and ensure stable sleep continues.

At this time, if rapid stabilization is achieved by reflecting the speed of ECG change, the volume should fade out and the sound source playback should be stopped within a short period of time. If slow stabilization is achieved, the volume should be faded out and the sound source playback should be stopped over a relatively long period of time. There is. In other words, a slow stabilization speed means that it takes more time to fall asleep, which means that there is a high risk of being easily awakened by changes in the surrounding environment in a sensitive state.

Accordingly, it is desirable to apply a set time equal to or proportional to the time from the beginning of sound source playback to the time when the ECG signal is stabilized, fade out the volume over the set time, and stop playback of the sound source when the final volume becomes 0. do.

The interlocking module 180 is configured to analyze stress in connection with the user's behavioral information and includes a recognition unit 181, a linkage unit 182, and a setting unit 183 in detail. In other words, the user's behavioral characteristics can reflect the stress situation, and this is an important factor to consider for alleviating stress, so efficient system operation can be achieved by processing sound sources that reflect this.

The recognition unit 181 determines the user's state through collected electrocardiogram signals and behavioral information and recognizes a situation where stress is increasing. In other words, it determines the behavioral state associated with causing stress, such as a fall, a situation where movement is not possible due to some difficulty, a sudden change in movement, shaking of the body, symptoms of continuous or repeated movement, and behavioral information that is different from the behavioral information collected normally. Behavioral information reflecting unusual situations is confirmed. Basically, stress is bound to increase in this situation, but a situation in which stress actually increases can be recognized through changes in the electrocardiogram measured through the first sensor unit 111 mentioned above.

The linkage unit 182 is a component that derives correlation information by linking the change in stress increase with behavioral information, and the stress change collected from the measurement module 110, that is, the increase in stress determined through the increase in heart rate, etc. As unique behavioral states collected through the sensor unit 112 accumulate, they can be analyzed to derive correlations.

As the setting unit 183 analyzes the accumulated correlation information, the analysis module 120 generates reference information that can be judged as stable.

As mentioned earlier, in identifying the electrocardiogram signal in the user's stable state through the analysis module 120, reference information is generated in advance in a specific situation where the stress source is blocked and applied during normal behavior to determine the stable state. This is desirable, but if this method does not work smoothly, it is possible to determine whether the user is in a psychologically stable state through information collected during daily life and generate reference information through this.

To this end, it is possible to determine that the user is in a stable state based on the electrocardiogram signal collected in a situation without any stress-causing factors through behavioral information, and it is desirable that this procedure is carried out by deriving a large number of correlation information.

The life support module 190 analyzes previously collected behavioral information to operate a customized stress relief function that reflects the user's tendency, and is equipped with a pattern analysis unit 191 and a preventive operation unit 192 as a detailed structure.

The pattern analysis unit 191 is configured to generate lifestyle pattern information through cumulatively collected behavioral information. Most users who are the subject of the present invention have behavioral patterns by time, including the moving route, and are unique to each user. Behavioral habits also exist. The pattern analysis unit 191 is designed to identify these patterns through accumulated behavioral information. By analyzing the behavioral information, lifestyle pattern information reflecting frequently traveled routes and behavioral habits is generated through analysis.

The preventive operation unit 192 operates the output module 160 using lifestyle pattern information and correlation information according to the user's current behavior information. That is, as the user's behavioral patterns and behavioral habits included in the life pattern information are identified and the stress increase factors related thereto are identified, the preventive operation unit 192 outputs a sound source through the output module 160 in a situation where stress increases. Stress can be effectively controlled by preemptively outputting sound sources.

The rights of the present invention are not limited to the embodiments described above but are defined by the claims, and those skilled in the art can make various changes and modifications within the scope of the claims. This is self-evident.

110: Measurement module 111: First sensor unit
112: second sensor unit 120: analysis module
130: Sound source management module 131: Sound wave generation unit
132: sound source storage unit 140: monitoring module
150: Sound source processing module 160: Output module
161: output unit 162: timer unit
170: Sleep support module 171: Tracking unit
172: Control unit 180: Interlocking module
181: Cognitive department 182: Association department
183: Setting unit 190: Life support module
191: Pattern analysis unit 192: Preventive operation unit

Claims (4)

A measurement module 110 including a first sensor unit 111 that measures the user's electrocardiogram signal and a second sensor unit 112 that collects the user's location and behavior information;
An analysis module 120 that collects and analyzes waveform information including the amplitude and frequency of the heartbeat through the measured electrocardiogram signal and extracts waveform information of the psychological stabilizer;
A sound wave generator 131 that extracts feature vectors for the amplitude and frequency of the waveform information of the stabilizer and generates sound wave information of the same sound wave characteristics, and a sound source storage unit that receives and stores a plurality of sound sources having a BPM in a set range ( A sound source management module 130 including 132);
A monitoring module 140 that monitors and analyzes the user's location and behavior information measured through the second sensor unit 112 to determine the operating time and operating mode for learning and sleeping;
As the operation time is determined, a sound source identical to the BPM according to the waveform information of the psychological stabilizer is extracted from the sound source storage unit 132, and then the searched sound source is processed to reflect the sound wave information generated through the sound wave generator 131. a sound source processing module 150;
An output module 160 including an output unit 161 that outputs the processed sound source so that the user can hear it, and a timer unit 162 that sets and controls the sound source output time in response to the determined operating mode; An autonomic nerve stabilization system comprising:
According to paragraph 1,
A tracking unit 171 that analyzes real-time changes in the ECG signal collected through the measurement module during the operation time of the output module, and when it is determined that the ECG signal is in a stable sleep progression range as a result of the ECG signal analysis, the sound source output time is reset by reflecting the change rate. and a sleep support module 170 including a control unit 172 that controls a fade-out change in volume corresponding to the reset output time. An autonomic nerve stabilization system further comprising:
According to paragraph 1,
A recognition unit 181 that determines the user's condition through the collected electrocardiogram signal and behavioral information and recognizes a situation of increased stress, and a linkage unit 182 that derives correlation information by linking changes in increased stress with behavioral information, An interlocking module 180 including a setting unit 183 that generates reference information that can be judged as stable by the analysis module as it analyzes accumulated correlation information; An autonomic nerve stabilization system further comprising:
According to paragraph 3,
A pattern analysis unit 191 that generates life pattern information through cumulatively collected behavior information, and a preventive operation unit 192 that operates the output module using life pattern information and correlation information according to the user's current behavior information. A living support module (190) equipped with a; An autonomic nerve stabilization system further comprising: