Sleep disorder non-inductive monitoring method based on body movement frequency spectrum

Abstract

The invention discloses a sleep disorder non-inductive monitoring method based on a body movement frequency spectrum. The sleep disorder non-inductive monitoring method comprises the following steps: dividing a sleep period of a testee into a plurality of sections; the sections comprise a section before falling asleep, a section of a sleep cycle and a section before waking up and leaving; acquiring the pressure point change number of the testee in the plurality of sections during sleeping, and calculating to obtain a plurality of monitoring indexes; scoring the monitoring indexes to obtain index scoring values; summing the obtained index score values to obtain a total score, and if the total score is not smaller than a threshold value, determining that the testee has the sleep disorder. The sleep state of the testee can be continuously monitored in a non-invasive manner, the sleep score is accurately calculated, and the monitoring accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the field of sleep monitoring, and particularly to a method for non-invasive monitoring of sleep disorders based on body movement spectrum. Background Art

[0002] Sleep monitoring helps us understand the impact of different living habits and environmental factors on sleep, and then adjust the work and rest according to personal circumstances, optimize the sleep environment, so as to achieve the purpose of improving sleep quality. Monitoring sleep is crucial for evaluating sleep quality, identifying sleep disorders, and adjusting work and rest habits.

[0003] Currently, various methods can be used to detect or monitor sleep. For example: Polysomnography (PSG). However, due to factors such as the need for all-night monitoring in a strange environment (sleep center), numerous monitoring parameters, wearing multiple electrodes and sensors, which may cause discomfort, affect sleep quality, and have relatively high technical requirements for result interpretation personnel, it is still difficult to popularize. Special equipment is required, the subjects are not adaptable, and there are high technical complexity and professional requirements. There is also: The Pittsburgh Sleep Quality Index (PSQI) is a self-assessment questionnaire that relies on the subjective report of the subject's own sleep quality. Therefore, it may be affected by factors such as individual cognition, emotional state, and sociocultural background. Some subjects may overly focus on their sleep problems, resulting in a high score, or underestimate their sleep quality due to lack of awareness of sleep problems. In addition: The Richards-Campbell Sleep Questionnaire (RCSQ) mainly focuses on the restorative quality of sleep and cannot comprehensively evaluate other important aspects of sleep, such as sleep duration and efficiency. With strong subjectivity, like most self-assessment scales, the scoring of the RCSQ depends on the individual's subjective judgment of their own sense of sleep restoration. Different people may have different understandings of restorative sleep, and it may be affected by factors such as emotional state and personal health status, resulting in certain evaluation deviations.

[0004] Therefore, a new method for monitoring sleep disorders is needed, which can non-invasively and continuously monitor the sleep status of the subject, accurately calculate the sleep score, and improve the monitoring accuracy. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to overcome the defects in the prior art and provide a method for non-invasive monitoring of sleep disorders based on body movement spectrum, which can non-invasively and continuously monitor the sleep status of the subject, accurately calculate the sleep score, and improve the monitoring accuracy.

[0006] The method for non-invasive monitoring of sleep disorders based on body movement spectrum of the present invention includes:

[0007] Divide the sleep period of the subject into several sections; the sections include the period before falling asleep, the sleep cycle section, and the period before waking up and leaving.

[0008] Obtain the number of pressure point changes during the subject's sleep in several sections, and calculate several monitoring indicators.

[0009] Score the monitoring indicators to obtain an indicator score value.

[0010] Add up the obtained indicator score values to get a total score. If the total score is not less than the threshold, the subject has a sleep disorder.

[0011] Furthermore, the monitoring indicators include the total number of pressure point changes in the 30 minutes before falling asleep, the total number of pressure point changes in the 30 minutes before and after the sleep cycle, the total number of pressure point changes in the 60 minutes before waking up and leaving, the total number of pressure point changes during the sleep process, the number of large body movements at night, the number of small body movements at night, the body movement ratio, the duration of the high-frequency body movement period, the total number of pressure point changes during the high-frequency body movement period, and the immobile duration; among them, the 30 minutes before and after the sleep cycle are the last 30 minutes of the previous cycle and the first 30 minutes of the next cycle.

[0012] Furthermore, the number of large body movements at night is the number of times when the number of pressure point changes counted each time during the sleep process is greater than 200; the number of small body movements at night is the number of times when the number of pressure point changes counted each time during the sleep process is less than 50.

[0013] Furthermore, the body movement ratio is the body movement duration divided by the sleep duration; among them, the body movement duration is the sum of the number of large body movements at night and the number of small body movements at night multiplied by n; the n is the statistical period of the number of pressure point changes.

[0014] Furthermore, take one minute in which the ratio of the number of times the number of pressure point changes is greater than 50 to the total number of statistical times in that minute is higher than 50% as the target minute, and take the total number of target minutes during the sleep process as the duration of the high-frequency body movement period.

[0015] Furthermore, calculate the number of times the number of pressure point changes is greater than 50 in the target minute, sum up the pressure point changes corresponding to each time, obtain the pressure point changes of the target minute, sum up the pressure point changes of all target minutes during the sleep process, and take the summation result as the total number of pressure point changes during the high-frequency body movement period.

[0016] Furthermore, take one minute in which the ratio of the number of times the number of pressure point changes is less than 30 to the total number of statistical times in that minute is higher than 80% as the second target minute, and take the total number of second target minutes during the sleep process as the immobile duration.

[0017] Furthermore, the number of pressure point changes is statistically counted every 4 seconds.

[0018] Further, the sleep cycle segment is 5 sleep cycles; the sleep cycle is 90 minutes.

[0019] Further, the monitoring indicators are scored, specifically including:

[0020] Screen the target monitoring indicators from a number of monitoring indicators, and determine the median of the target monitoring indicators;

[0021] Judge whether the target monitoring indicator is greater than its corresponding median. If so, the indicator score value corresponding to the target monitoring indicator is 1. If not, the indicator score value corresponding to the target monitoring indicator is 0.

[0022] The beneficial effects of the present invention are as follows: A non-invasive and continuous sleep disorder non-intrusive monitoring method based on body movement spectrum disclosed by the present invention can effectively identify the sleep disorder risk by accurately calculating the number of pressure point changes during the sleep period and converting it into a monitoring indicator score, without the need for the subject's active cooperation, reducing the discomfort and interference during the monitoring process, and improving the convenience and accuracy of the monitoring. Description of the Drawings

[0023] The present invention will be further described below with reference to the drawings and embodiments:

[0024] Figure 1 It is a schematic diagram of the sleep period division of the subject of the present invention;

[0025] Figure 2 It is the body movement spectrum diagram of the subject during the sleep period of the present invention. Detailed Embodiments

[0026] The following further describes the present invention with reference to the drawings of the specification, as shown in the figure:

[0027] This embodiment discloses a non-intrusive monitoring method for sleep disorders based on body movement spectrum, including the following steps:

[0028] Divide the sleep period of the subject into several sections; the sections include the period before falling asleep, the sleep cycle section, and the period before waking up and leaving;

[0029] Obtain the number of pressure point changes of the subject during sleep in several sections, and calculate several monitoring indicators;

[0030] Score each monitoring indicator to obtain an indicator score value;

[0031] Add up the obtained indicator score values to obtain a total score. If the total score is not less than the threshold, the subject has a sleep disorder.

[0032] Such as Figure 1As shown, the said section includes the period before falling asleep, the sleep cycle section, and the period before waking up and leaving. By dividing the sleep period into multiple sections, it is conducive to more accurately capturing the characteristics of different stages during sleep. The sleep patterns of each stage are different, and the number of pressure point changes will also vary. Therefore, through segmented monitoring, the specific periods of sleep disorders can be refined for analysis and identification, which is beneficial for more accurate analysis and judgment. At the same time, it also improves the sensitivity of evaluation, avoiding over - attention or under - attention to a certain period, thus providing support for obtaining a more comprehensive and accurate sleep quality assessment subsequently.

[0033] In this embodiment, the monitoring indicators include the total number of pressure point changes in the 30 minutes before falling asleep, the total number of pressure point changes in the 30 minutes before and after the sleep cycle, the total number of pressure point changes in the 60 minutes before waking up and leaving, the total number of pressure point changes during sleep, the number of large body movements or turning - over times at night, the number of small body movements at night, the body movement ratio, the duration of the high - frequency body movement period, the total number of pressure point changes during the high - frequency body movement period, and the immobile duration; among them, the 30 minutes before and after the sleep cycle are the last 30 minutes of the previous cycle and the first 30 minutes of the next cycle.

[0034] Through the above - mentioned monitoring indicators, the dynamic changes of each stage during sleep can be comprehensively reflected. By quantifying these indicators, the pressure point fluctuations in different sleep periods can be more accurately evaluated, and potential problems such as difficulty falling asleep, decreased sleep quality, or sleep interruption can be captured. Each indicator focuses on different sleep characteristics, so as to better identify the causes of sleep disorders, improve the accuracy and sensitivity of analysis, and provide a scientific basis for subsequent decision - making analysis.

[0035] In this embodiment, the number of large body movements or turning - over times at night is the number of times when the number of pressure point changes counted each time during sleep is greater than 200. By taking the number of times when the number of pressure point changes counted each time during sleep is greater than 200 as the number of large body movements or turning - over times at night, the large - amplitude movements that occur to the subject during sleep can be accurately identified. The drastic change of pressure points is usually related to turning over, adjusting posture, or restless movements, and these movements are potential manifestations of sleep disorders such as sleep apnea and periodic limb movement. By setting a threshold of 200, more obvious movement events can be effectively captured, thus providing an important reference for judging whether there is a sleep disorder and further enhancing the sensitivity and accuracy of monitoring.

[0036] Accordingly, the number of minor body movements during the night is the number of times when the number of pressure point changes counted each time during sleep is less than 50. By taking the number of times when the number of pressure point changes counted each time during sleep is less than 50 as the number of minor body movements during the night, it is possible to accurately identify the minor movements that occur to the subject during sleep. Slight changes in pressure points are usually related to minor limb adjustments, muscle contractions, or brief awakenings, and these movements reflect the stability of sleep and the transition between sleep stages. By setting a threshold of 50, smaller movement events can be effectively captured, thereby providing an important reference for judging sleep quality and identifying specific sleep disorders, and further improving the sensitivity and accuracy of monitoring.

[0037] In this embodiment, the body movement ratio is the body movement duration divided by the sleep duration; wherein, the body movement duration is the sum of the number of major body movements and the number of minor body movements during the night multiplied by n; the n is the statistical period of the number of pressure point changes. Wherein, n takes a value of 4s.

[0038] By setting the body movement ratio as described above, it is possible to more accurately quantify the movement of an individual during the entire sleep cycle. Major body movements and minor body movements respectively reflect movements of different intensities. Through comprehensive calculation, the sleep stability can be more comprehensively evaluated. In addition, the calculation method of the body movement ratio avoids the one-sidedness that may be caused by simply counting the number of body movements. Analyzing the number of body movements alone may ignore the duration of body movements, but after converting it into duration, the proportion of body movements in the entire sleep time can be measured more accurately. This is crucial for evaluating sleep quality. For example, a high body movement ratio indicates unstable sleep and is related to insomnia, sleep apnea, periodic limb movement disorder, etc., while a low body movement ratio indicates a relatively stable sleep state.

[0039] In this embodiment, a minute in which the ratio of the number of times the number of pressure point changes is greater than 50 within one minute to the total number of statistics within that minute is higher than 50% is taken as the target minute, and the total number of target minutes during sleep is taken as the high-frequency body movement period duration.

[0040] By setting the high-frequency body movement period duration as described above, it is possible to effectively identify the time periods with relatively frequent body movements, more comprehensively reflect the movement density of the subject during certain time periods, thereby more accurately identify the moments of unstable sleep, and intuitively reflect the long-term unstable situation during sleep, thus providing a more reliable basis for sleep quality assessment. In addition, using 50% as the threshold to screen the target minutes ensures that the selected time periods do have a high body movement frequency, avoiding the interference of accidental individual body movements on the overall analysis, and playing an important role in screening phenomena related to sleep disorders.

[0041] Correspondingly, calculate the number of times that the number of pressure point changes within the target minute is greater than 50, sum up the number of pressure point changes corresponding to each time, obtain the number of pressure point changes in the target minute, sum up the number of pressure point changes in all target minutes during the sleep process, and use the summation result as the total number of pressure point changes of high-frequency body movements.

[0042] By calculating the number of times that the number of pressure point changes within the target minute is greater than 50 and summing up the number of pressure point changes corresponding to each time, the intensity of high-frequency body movements can be quantified more precisely. It not only identifies the time periods with frequent body movements but also further measures the cumulative amplitude of body movements within these time periods, making the analysis more comprehensive. In addition, it avoids the possible information loss caused by relying solely on the number of body movements. Simply counting the number of body movements may not accurately reflect the overall exercise intensity of an individual during the high-frequency body movement period. By accumulating the number of pressure point changes in all target minutes, the body movement load during sleep can be measured more objectively, thus providing more quantitative data for sleep quality assessment.

[0043] In this embodiment, a minute in which the ratio of the number of times the number of pressure point changes within one minute is less than 30 to the total number of statistics within that minute is higher than 80% is taken as the second target minute, and the total number of the second target minutes during the sleep process is taken as the immobile duration.

[0044] By counting the number of times the number of pressure point changes within one minute and calculating its proportion, it is possible to effectively identify the time periods with less body movement and more stable sleep, and can more accurately screen out the sleep stages of maintaining a static state for a long time, which helps to evaluate the persistence and quality of deep sleep. In addition, taking 80% as the threshold ensures that the selected time periods do have a low movement level, avoiding the influence of individual small body movements on the overall judgment, so as to more accurately reflect whether an individual maintains a quiet state for a long time, which helps to evaluate sleep coherence. Calculating the total number of the second target minutes during the entire sleep process makes the immobile duration a clear indicator, which can intuitively measure the resting state of an individual throughout the night and provide a more reliable basis for sleep stability analysis.

[0045] In this embodiment, the pressure points are counted every 4 seconds. Counting the pressure points every 4 seconds can provide a higher time resolution, so as to capture more fine-grained dynamic changes during the sleep process. The statistics with a short time interval can more accurately reflect the minute changes in body posture during sleep, such as turning over and adjusting the sleeping position. These small-scale changes have an important impact on evaluating sleep quality and identifying sleep disorders. Through high-frequency data collection, the trend and pattern of pressure point changes can be better analyzed, improving the sensitivity and accuracy of monitoring, and thus detecting potential sleep problems earlier.

[0046] In this embodiment, the sleep cycle is 90 minutes. By setting the sleep cycle to 90 minutes, the natural sleep structure of the human body can be more accurately reflected. A person's sleep cycle is usually about 90 minutes and consists of multiple stages, such as light sleep, deep sleep, and rapid eye movement (REM) sleep. By setting 90 minutes as a cycle, the sleep stages can be more reasonably divided, and the key changes in each stage of sleep can be captured, thereby improving the accuracy of the monitoring results. This can better identify the changes in pressure points within each sleep cycle and help accurately evaluate sleep quality and potential sleep disorders.

[0047] In this embodiment, as Figure 1 shown, the sleep cycle segment is 5 sleep cycles. By taking 5 sleep cycles as the sleep cycle segment, the main stages of the entire night's sleep can be comprehensively covered. Each sleep cycle is about 90 minutes, so 5 cycles are approximately 7.5 hours, which is close to the standard sleep duration of adults. This duration can cover different stages such as falling asleep, deep sleep, light sleep, and rapid eye movement (REM) sleep, thereby providing complete sleep data and enabling better evaluation of sleep quality and discovery of potential sleep disorders. At the same time, this duration setting avoids the omission that may be caused by too short a monitoring time period and is conducive to capturing various changes and abnormal phenomena that may occur during sleep.

[0048] Among them, a non-sensory sleep monitoring mattress can be used to continuously monitor the number of pressure point changes during the sleep period of the subject. Among them, the non-sensory sleep monitoring mattress (Non-sensory Sleep monitoring mattress, NSSMM) is composed of 2048 pressure sensing points evenly distributed on a graphene flexible film with a size of 800mm×2000mm. Based on the pressure acquisition signal and the data model algorithm for graphical display, a non-sensory sleep monitoring system is built. This system can record the body activities of the human body during the entire sleep period and record the number of changes in the sensors under pressure (referred to as the "number of pressure point changes") every 4 seconds to reflect the body movement situation. The larger the number of pressure point changes, the greater the body movement, which can be used to accurately monitor the body activities of the subject. Using this NSSMM to monitor the number of pressure point changes during the sleep period of the subject, and taking the number of pressure point changes as a parameter to evaluate the sleep quality of the subject. It has the advantages of non-invasiveness, comfort, simple and convenient operation, and real-time data monitoring.

[0049] According to the above settings, as Figure 1 and Figure 2 shown, the total number of pressure point changes in the 30 minutes before falling asleep:

[0050] Among them, px represents the pressure point at the xth time, and x represents a positive integer.

[0051] Total number of pressure point changes in the 30 minutes before and after the sleep cycle: Among them, pTn represents the number of pressure points in the 30 minutes before and after the nth cycle; where:

[0052] pT1 = p1350 + p1351 +... + p2250;

[0053] pT2 = p2700 + p2701 +... + p3600;

[0054] pT3 = p4050 + p4051 +... + p4950;

[0055] pT4 = p5400 + p5401 +... + p6300;

[0056] pT5 = p6750 + p6751 +... + p7650.

[0057] Total number of pressure point changes in the 60 minutes before waking up and leaving: N represents the number of monitoring times when waking up and leaving.

[0058] Total number of pressure point changes during sleep:

[0059] Total number of large body movements or turning over times at night:

[0060] In this embodiment, the monitoring indicators are scored, specifically including:

[0061] Screen target monitoring indicators from several monitoring indicators and determine the median of the target monitoring indicators; among them, the target monitoring indicators include the total number of pressure point changes in the 30 minutes before falling asleep, the total number of pressure point changes in the 30 minutes before and after the sleep cycle, the total number of pressure point changes in the 60 minutes before waking up and leaving, the total number of pressure point changes during sleep, the total number of large body movements at night, the body movement ratio, the duration of the high-frequency body movement period, and the total number of pressure point changes during the high-frequency body movement period, a total of eight monitoring indicators. The median is the middle value of the sorted data, and the median of a certain monitoring indicator can be determined by sorting multiple indicator values collected through multiple tests.

[0062] Judge whether the target monitoring indicator is greater than its corresponding median. If so, the indicator score value corresponding to the target monitoring indicator is 1. If not, the indicator score value corresponding to the target monitoring indicator is 0.

[0063] By setting the scores of the monitoring indicators to 0 or 1, data processing can be simplified, and complex sleep information can be converted into binary results that are easy to understand. This binary scoring method makes the evaluation of the monitoring indicators more intuitive and facilitates a quick judgment of whether there are abnormalities. For example, if a certain monitoring indicator exceeds the median, it indicates that the indicator may reflect the risk of sleep disorders, and it is assigned a value of 1, while if it does not exceed the median, it is assigned a value of 0. In this way, it can be clearly determined which sleep indicators are outside the normal range, which helps in screening and analyzing sleep disorders. At the same time, this scoring method also facilitates further statistical analysis and model construction.

[0064] By adding up the 0, 1 scores of the above eight monitoring indicators, a total score is obtained, which ranges from 0 to 8. A total score of 0 means that all eight monitoring indicators are below the median. A total score of 8 means that all eight monitoring indicators are above the median. Total score threshold: If the total score ≥ 3, that is, the subject has at least one indicator above the median, then it is considered that the subject may have sleep disorders, such as frequent turning over, restlessness of the body, sleep interruption, etc.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A sleep disorder non-sensing monitoring method based on body motion spectrum, characterized by: include: Divide the subject's sleep period into several sections; the sections include before falling asleep, sleep cycle section and before waking up and leaving; Obtain the number of changes in the pressure points of the subjects during sleep in several sections, and calculate several monitoring indicators; Score the monitoring indicators to obtain indicator score values; The obtained indicator score values ​​are added together to obtain a total score. If the total score is not less than a threshold value, the subject has a sleep disorder.

2. The sleep disorder non-sensing monitoring method based on body motion spectrum according to claim 1, characterized in that: The monitoring indicators include the total number of pressure point changes in the 30 minutes before falling asleep, the total number of pressure point changes in the 30 minutes before and after the sleep cycle, the total number of pressure point changes in the 60 minutes before waking up, the total number of pressure point changes during sleep, the number of large body movements at night, the number of small body movements at night, the body movement ratio, the duration of the high-frequency body movement period, the total number of high-frequency body movement pressure point changes and the immobility duration; wherein the 30 minutes before and after the sleep cycle are the last 30 minutes of the previous cycle and the first 30 minutes of the next cycle.

3. The sleep disorder non-sensing monitoring method based on body motion spectrum according to claim 2 is characterized by: The number of major body movements at night refers to the number of times the number of pressure point changes counted each time during sleep is greater than 200; the number of minor body movements at night refers to the number of times the number of pressure point changes counted each time during sleep is less than 50.

4. The sleep disorder non-sensing monitoring method based on body motion spectrum according to claim 2, characterized in that: The body movement ratio is the body movement duration divided by the sleep duration; wherein, the body movement duration is the sum of the number of large body movements at night and the number of small body movements at night multiplied by n; and n is the statistical period of the number of pressure point changes.

5. The sleep disorder non-sensing monitoring method based on body motion spectrum according to claim 2, characterized in that: A minute in which the ratio of the number of pressure point changes greater than 50 in one minute to the total statistical number in the minute is higher than 50% is taken as the target minute, and the total number of target minutes during sleep is taken as the duration of the high-frequency body movement period.

6. The sleep disorder non-sensing monitoring method based on body motion spectrum according to claim 5, characterized in that: Calculate the number of times the pressure point change number is greater than 50 within the target minute, sum the pressure point change numbers corresponding to each number to obtain the pressure point change number for the target minute, sum the pressure point change numbers for all target minutes during sleep, and use the sum result as the total of high-frequency body movement pressure point change numbers.

7. The sleep disorder non-sensing monitoring method based on body motion spectrum according to claim 2, characterized in that: The minute in which the ratio of the number of pressure point changes within one minute is less than 30 to the total statistical number within the minute is higher than 80% is taken as the second target minute, and the total number of the second target minutes during sleep is taken as the immobility time.

8. The sleep disorder non-sensing monitoring method based on body motion spectrum according to claim 2, characterized in that: The number of pressure point changes is counted every 4 seconds.

9. The sleep disorder non-sensing monitoring method based on body motion spectrum according to claim 1, characterized in that: The sleep cycle segment is 5 sleep cycles; the sleep cycle is 90 minutes.

10. The sleep disorder non-sensing monitoring method based on body motion spectrum according to claim 1, characterized in that: Scoring of monitoring indicators, including: Select the target monitoring indicator from a number of monitoring indicators and determine the median of the target monitoring indicator; Determine whether the target monitoring indicator is greater than its corresponding median. If so, the indicator score value corresponding to the target monitoring indicator is 1; if not, the indicator score value corresponding to the target monitoring indicator is 0.

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