Intelligent old-age care monitoring system

Abstract

The invention specifically relates to an intelligent old-age care monitoring system. The system comprises a data collection module; the data processing module is used for classifying the sleep-related data and then analyzing the sleep-related data in sequence to respectively obtain a real sleep index and an interruption index; the evaluation processing module is used for comprehensively analyzing the real sleep index and the interruption index to obtain a quality evaluation coefficient; matching a corresponding sleep quality level based on the quality evaluation coefficient, and sending the sleep quality level to an intelligent terminal of a manager; and a judgment module. According to the invention, sleep-related data is collected in a multi-channel manner by means of the smart bracelet and the sensor at the light switch; through integration and analysis of multi-source data, the comprehensiveness and accuracy of the data are greatly improved compared with a monitoring mode which only depends on single equipment or a data type; the sleep stage can be accurately judged, the influence of behaviors such as getting up at night on sleep can be deeply observed, a foundation is built for subsequent scientific evaluation of sleep quality, and it is ensured that the sleep condition of old people is more truly and reliably known.

Description

Technical Field

[0001] The present invention relates to the field of monitoring technology, and in particular to an intelligent elderly care monitoring system. Background Art

[0002] With the acceleration of the global aging process, the health management of the elderly has become a focus of social attention. As a key indicator of the health status of the elderly, accurate monitoring and effective intervention are crucial. Due to the decline of physical functions, the elderly often suffer from sleep problems. For example, benign prostatic hyperplasia leads to frequent urination at night, which frequently interrupts sleep; chronic diseases such as joint pain make it difficult for the elderly to turn over in sleep, affecting the depth of sleep; psychological worries about getting up and falling at night can also lead to a decline in sleep quality.

[0003] Traditional sleep monitoring methods have significant shortcomings. Manual observation is not only labor-intensive but also difficult to achieve 24-hour uninterrupted monitoring, making it easy to miss key information. Simple device recordings, such as a single sleep bracelet, only capture limited sleep data and fail to fully reflect the various conditions during sleep.

[0004] Therefore, there is an urgent need for an intelligent elderly care monitoring system that can collect all-round sleep-related data of the elderly, accurately analyze sleep quality, and provide personalized improvement suggestions based on different situations to improve the sleep quality and quality of life of the elderly. Summary of the Invention

[0005] The purpose of the present invention is to propose an intelligent elderly care monitoring system in order to solve the above problems.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: An intelligent elderly care monitoring system, comprising: Data collection module: obtains user's sleep-related data; Data processing module: classifies sleep-related data and analyzes them in sequence to obtain the true sleep index and interruption index respectively; Evaluation and processing module: This module comprehensively analyzes the actual sleep index and interruption index to obtain a quality evaluation coefficient. Based on the quality evaluation coefficient, it matches the corresponding sleep quality level and sends it to the manager's smart terminal. Judgment module: The manager judges the user's sleep quality based on the received user's sleep-related data and sleep quality level.

[0007] Preferably, the obtaining of the user's sleep-related data specifically includes: Obtain relevant data of the user's various sleep stages through the user's smart bracelet; Obtain the user's light-on data through the sensor at the light switch; And based on the signal transmission data between the smart bracelet and the sensor at the light switch, the lights in the room are intelligently controlled to turn on and off.

[0008] Preferably, the user's sleep-related data includes: Real sleep data and interruption data; Real sleep data includes sleeping heart rate, sleep duration, and number of tossing and turning; Intermittent data includes the number of times the light is turned on, the number of times the user gets up, and the distance between the smart bracelet and the light switch.

[0009] Preferably, obtaining the real sleep index includes: Preset the corresponding awake heart rate value range and standard sleep duration for each gender in each age group; match the user's age and gender with them to obtain the user's awake heart rate value range and standard sleep duration; A heart rate reduction coefficient corresponding to sleep compared to wakefulness is preset, and the user's awake heart rate range is multiplied by (the difference between 1 and the heart rate reduction coefficient) to obtain the user's corresponding reference sleep heart rate range; The user's heart rate at each monitoring time point is obtained through the smart bracelet, and each heart rate obtained is compared with the reference sleep heart rate range. The heart rate within the reference sleep heart rate range is recorded as the sleep heart rate; The sleep ratio is obtained by counting the number of sleep heart rates and dividing it by the number of monitored heart rates; The duration corresponding to each sleep heart rate is accumulated to obtain the total sleep duration, and the total sleep duration is divided by the standard sleep duration to obtain the sleep percentage; And based on the data obtained by the acceleration sensor of the smart bracelet, the negative coefficient is obtained; The real sleep index is obtained by comprehensively analyzing the sleep ratio, sleep proportion and movement coefficient.

[0010] Preferably, the method for obtaining the negative coefficient specifically includes the following parts: Get the time interval corresponding to the total sleep time, and get the monitored 、 、 The acceleration values ​​in the axis direction are preset in 、 、 The turning acceleration threshold in the axis direction will be 、 、 In the preset time period, any moment when the acceleration value on any two axes is greater than or equal to the corresponding turning acceleration threshold is recorded as the turning moment; The total number of turning over moments in the time period corresponding to the total sleep duration is accumulated and marked as the number of turning over times; Divide the number of tossing and turning by the total sleep duration to get the negativity coefficient.

[0011] Preferably, obtaining the interruption index includes the following parts: Based on the signal transmission time difference between the smart bracelet and the light switch, the distance between the smart bracelet and the light switch is calculated; Draw a sphere with the light switch as the center and the preset size as the radius; Obtain the distance between the smart bracelet and the light switch, record it as the detection distance; compare the detection distance with the radius of the sphere; If the detection distance is less than the radius of the sphere, the time during which the distance between the smart bracelet and the light switch is continuously less than the radius of the sphere is recorded, and this time is recorded as the trigger time. The trigger time is then judged to control the light to perform the corresponding operation. The time interval between turning the light on and off after each judgment is recorded, and the adjacent turning on and off intervals are marked as a standing operation. Obtain the number of trigger times within the time period corresponding to the total sleep duration, and divide the cumulative number of trigger times by the total sleep duration to obtain the frequency of getting up; Obtain the time interval between turning on and off the light each time the user stands up, and accumulate the time interval between turning on and off the light each time the user stands up to obtain the continuous cumulative duration; Based on the user's sleeping habits, the time is divided into various time zones and each time zone is assigned a corresponding weight factor; Obtain the time zone corresponding to the time interval between turning on and off the light corresponding to each standup, and multiply the cumulative duration of each standup by the corresponding weight factor and sum them to obtain the continuity index; The interruption index was obtained by comprehensive analysis of the frequency of getting up and the persistence index.

[0012] Preferably, the intelligent control of the lights in the room based on the signal transmission data between the smart bracelet and the sensor at the light switch includes: A trigger time threshold is preset, and the trigger time is compared with the trigger time threshold. If the trigger time is greater than the trigger time threshold, the automatic light-on operation is triggered.

[0013] Preferably, the quality assessment coefficient is obtained by comprehensively analyzing the real sleep index and the interruption index, including: After normalizing the real sleep index and the interruption index, the real sleep index and the interruption index are used as the two right-angled sides of a right triangle, and the remaining side is connected to form a complete right triangle. The midpoint of the right-angled side where the interruption index is located is used as the center of any side of the equilateral triangle, and 1 / 2 of the interruption index is used as the side of the equilateral triangle to construct an equilateral triangle. The area of ​​the right triangle after removing the equilateral triangle is calculated as the quality assessment coefficient.

[0014] Preferably, the three preset groups of quality assessment coefficients correspond to value ranges, and each group of quality assessment coefficients corresponds to a sleep quality level. The quality assessment coefficient is matched with the value ranges corresponding to the three groups of sleep quality levels to obtain the sleep quality level corresponding to the quality assessment coefficient; the sleep quality level includes normal sleep level, mild abnormal sleep level, and severe abnormal sleep level.

[0015] Preferably, the judgment module specifically includes: Provide corresponding suggestions based on the judgment of the user's sleep level; Normal sleep level: Encourage the elderly to continue to maintain their current living habits and sleep schedule, including regular meal times, moderate daily activities, and fixed bedtimes and wake-up times; Mild abnormal sleep level: It is recommended that the elderly increase their daytime exercise appropriately, but avoid strenuous exercise before going to bed; check whether there are factors that affect sleep in the sleeping environment; encourage the elderly to do some relaxing activities before going to bed; Severe abnormal sleep level: It is recommended that the elderly seek medical treatment in time and undergo a comprehensive physical examination; pay attention to the elderly's mental state.

[0016] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. This invention uses sensors at smart bracelets and light switches to collect sleep-related data through multiple channels. By integrating and analyzing multi-source data, the comprehensiveness and accuracy of the data are greatly improved compared to monitoring methods that rely solely on a single device or data type. This not only enables accurate judgment of sleep stages, but also provides in-depth insight into the impact of behaviors such as getting up at night on sleep, laying a solid foundation for subsequent scientific assessments of sleep quality and ensuring a more realistic and reliable understanding of the sleep status of the elderly.

[0017] 2. The present invention conducts in-depth analysis of the collected multi-source sleep data. When calculating the real sleep index, it comprehensively considers multiple factors such as the awake heart rate range corresponding to age and gender, sleeping heart rate changes, sleep duration ratio, and the negative coefficient caused by turning over, and obtains the result through unique geometric model calculation; the calculation of the interruption index combines the distance data between the smart bracelet and the light switch, the frequency of getting up and the duration index, etc.; it can extract key information that accurately reflects the sleep quality of the elderly from the data, deeply explore the sleep problems and influencing factors hidden behind the data, and provide a more scientific and detailed basis for sleep quality assessment. Compared with the traditional simple data statistical analysis method, it greatly improves the utilization efficiency and analysis depth of sleep data, thereby providing strong support for accurately improving the sleep of the elderly. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which: Figure 1 Flowchart of the present invention. DETAILED DESCRIPTION

[0019] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and for many different purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0020] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless expressly defined as such herein.

[0021] See also Figure 1 As shown, the present invention provides a technical solution: An intelligent elderly care monitoring system, comprising: Data collection module: obtains user's sleep-related data; Obtain the user's sleep-related data, including: Obtain relevant data of the user's various sleep stages through the user's smart bracelet; Obtain the user's light-on data through the sensor at the light switch; And based on the signal transmission data between the smart bracelet and the sensor at the light switch, the lights in the room are intelligently controlled to turn on and off; The user's sleep-related data includes: Real sleep data and interruption data; after analyzing the real sleep data, the real sleep index is obtained, and after analyzing the interruption data, the interruption index is obtained; Real sleep data includes sleeping heart rate, sleep duration, and number of tossing and turning; Intermittent data includes the number of times the light is turned on, the number of times the person gets up, and the distance between the smart bracelet and the light switch; Data processing module: classifies sleep-related data and analyzes them in sequence to obtain the true sleep index and interruption index respectively; The acquisition of real sleep index includes: Preset the corresponding awake heart rate value range and standard sleep duration for each gender in each age group; match the user's age and gender with them to obtain the user's awake heart rate value range and standard sleep duration; A heart rate reduction coefficient corresponding to sleep compared to wakefulness is preset, and the user's awake heart rate range is multiplied by (the difference between 1 and the heart rate reduction coefficient, where the difference is the absolute value) to obtain the user's corresponding reference sleep heart rate range; The user's heart rate at each monitoring time point is obtained through the smart bracelet, and each heart rate obtained is compared with the reference sleep heart rate range. The heart rate within the reference sleep heart rate range is recorded as the sleep heart rate; The sleep ratio is obtained by counting the number of sleep heart rates and dividing it by the number of monitored heart rates; The duration corresponding to each sleep heart rate is accumulated to obtain the total sleep duration, and the total sleep duration is divided by the standard sleep duration to obtain the sleep percentage; And based on the data obtained by the acceleration sensor of the smart bracelet, the negative coefficient is obtained; The real sleep index is obtained by comprehensively analyzing the sleep ratio, sleep proportion, and movement coefficient; After normalizing the sleep ratio, sleep share, and negativity coefficient, the product of the sleep ratio and sleep share is used as one side of the triangle. The angle of the triangle is preset, and the negativity coefficient is used as the other side of the triangle. Connect the remaining triangle sides to obtain a complete triangle. Take the center of the side of the triangle corresponding to the negative coefficient as the center of the circle, and use half of the negative coefficient as the radius to draw a circle, cut the triangle, and calculate the remaining area of ​​the triangle, which is recorded as the real sleep index; The method of obtaining the negative coefficient specifically includes the following parts: Get the time interval corresponding to the total sleep time, and get the monitored 、 、 The acceleration values ​​in the axis direction are preset in 、 、 The turning acceleration threshold in the axis direction will be 、 、 In the preset time period, any moment when the acceleration value on any two axes is greater than or equal to the corresponding turning acceleration threshold is recorded as the turning moment; The total number of turning over moments in the time period corresponding to the total sleep duration is accumulated and marked as the number of turning over times; Divide the number of tossing and turning by the total sleep duration to get the negativity coefficient; Turning over during sleep is a common physiological phenomenon. While proper turning over can be beneficial to sleep, turning over too frequently can have a negative impact on sleep. The following are some specific examples. Interference with sleep depth: Deep sleep is very important for physical recovery and brain rest; if you toss and turn frequently during sleep, it is easy to transition from deep sleep to light sleep, or even wake up; For example, when a person is in deep sleep, the body is in a relatively static state. If a person frequently turns over at this time, the brain will receive movement signals from the body and wake up, resulting in a decrease in deep sleep time and poor sleep quality. After waking up, the person may feel exhausted and not have gotten enough sleep. Impact on sleep continuity: Frequent tossing and turning may cause interrupted sleep; For example, some people turn over every ten minutes or so at night. Each time they turn over, they will have a brief period of wakefulness. Although they may fall asleep again quickly, the continuity of sleep is broken, making it impossible for them to enter a good sleep rhythm. The overall sleep quality is affected, and they may experience inattention and mental fatigue the next day. Obtaining the interruption index includes the following parts: Based on the signal transmission time difference between the smart bracelet and the light switch, the distance between the smart bracelet and the light switch is calculated; For example, ultrasonic ranging: of the two sensors, one is used as a transmitter to send ultrasonic signals, and the other is used as a receiver to receive signals. The propagation speed of ultrasonic waves in the air is known, and the time difference from transmission to reception is measured, combined with the speed formula ( For distance, is the ultrasonic velocity, is the propagation time), the distance between the two sensors can be calculated; Draw a sphere with the light switch as the center and the preset size as the radius; Obtain the distance between the smart bracelet and the light switch, record it as the detection distance; compare the detection distance with the radius of the sphere; If the detection distance is less than the radius of the sphere, the time during which the distance between the smart bracelet and the light switch is continuously less than the radius of the sphere is recorded, and this time is recorded as the trigger time. The trigger time is then judged to control the light to perform the corresponding operation. The time interval between turning the light on and off after each judgment is recorded, and the adjacent turning on and off intervals are marked as a standing operation. Based on the signal transmission data between the smart bracelet and the sensor at the light switch, the lights in the room are intelligently controlled, including: A trigger time threshold is preset, and the trigger time is compared with the trigger time threshold. If the trigger time is greater than the trigger time threshold, the automatic light-on operation is triggered; wherein, if the light is in the on state, the automatic light-off operation is triggered; If the trigger time is less than the trigger time threshold, but the user has manually controlled the light switch, causing the light to turn on, the trigger time will be stopped immediately; Explain the impact of getting up at night on sleep quality: Waking up at night causes sleep interruption: Many elderly people may need to wake up 2-3 times or even more each night due to changes in their body functions, such as frequent urination caused by benign prostatic hyperplasia. Each time they wake up at night, their sleep process is interrupted, making the originally continuous sleep become fragmented. For example, a 70-year-old man originally has a relatively light sleep. After getting up at night, it often takes him 15-30 minutes to fall asleep again after returning to bed. This greatly reduces the time of deep sleep and leads to a decline in sleep quality. The next day, the elderly may feel tired, dizzy, and in a poor mental state. The action of standing up affects sleep recovery: the elderly have a relatively stiff body, and the action of standing up may cause physical discomfort, thus affecting the speed and quality of falling asleep again; For example, some elderly people have arthritis, and their joint pain increases when they get up at night. Even if they return to bed, the body pain will make it difficult for them to relax, and their brains will remain in an alert state, making it difficult to enter deep sleep again. If this continues for a long time, it will form a vicious circle, making the elderly's sleep problems increasingly serious, and then affecting their physical health, such as decreased immunity, blood pressure fluctuations, etc.

[0022] Psychological factors interfere with sleep: Some elderly people may be in a state of tension during sleep because they worry about getting up at night and falling or disturbing their family's rest. This psychological pressure can make their sleep shallower and make them easily awakened. Even if they do not actually get up, this psychological factor can lead to poor sleep quality. For example, a 65-year-old man, after hearing that his neighbor fell down at night, has been worried that a similar situation will happen to him. He feels uneasy every night when he sleeps, frequently waking up to check his surroundings, and his sleep quality has been greatly reduced. He also feels anxious and uneasy during the day due to lack of sleep. Obtain the number of trigger times within the time period corresponding to the total sleep duration, and divide the cumulative number of trigger times by the total sleep duration to obtain the frequency of getting up; Obtain the time interval between turning on and off the light each time the user stands up, and accumulate the time interval between turning on and off the light each time the user stands up to obtain the continuous cumulative duration; Based on the user's sleeping habits, the time is divided into various time zones and each time zone is assigned a corresponding weight factor; Obtain the time zone corresponding to the time interval between turning on and off the light corresponding to each standup, and multiply the cumulative duration of each standup by the corresponding weight factor and sum them to obtain the continuity index; ; Get the persistence index ; in Is the number of the continuous cumulative duration, ; and They are numbered The continuous cumulative duration corresponding to the time, and the weight factor corresponding to the continuous cumulative duration; The interruption index was obtained by comprehensive analysis of the frequency of getting up and the persistence index; Get the number of times the user gets up and the total sleep time per day in the preset time period before the current time point, calculate the frequency of getting up, and then calculate the average of the frequency of getting up to get the reference value of the frequency of getting up, and record it as .

[0023] The frequency and duration index of getting up are marked as and The subsequent entry formula: ; Where a1 is the weight factor corresponding to the frequency of standing up; Evaluation and processing module: This module comprehensively analyzes the actual sleep index and interruption index to obtain a quality evaluation coefficient. Based on the quality evaluation coefficient, it matches the corresponding sleep quality level and sends it to the manager's smart terminal. A quality assessment coefficient is obtained by comprehensively analyzing the real sleep index and the interruption index, including normalizing the real sleep index and the interruption index, using the real sleep index and the interruption index as the two right-angled sides of a right triangle, connecting the remaining side to form a complete right triangle, using the midpoint of the right-angled side where the interruption index is located as the center of any side of the equilateral triangle, and using 1 / 2 of the interruption index as the side of the equilateral triangle to construct an equilateral triangle, and calculating the area of ​​the right triangle after removing the equilateral triangle as the quality assessment coefficient; Three sets of value ranges corresponding to quality assessment coefficients are preset. Each value range corresponding to the quality assessment coefficient corresponds to a sleep quality level. The quality assessment coefficient is matched with the value ranges corresponding to the three sets of sleep quality levels to obtain the sleep quality level corresponding to the quality assessment coefficient. The sleep quality levels include normal sleep level, mild abnormal sleep level, and severe abnormal sleep level. Judgment module: The manager judges the user's sleep quality based on the received sleep-related data and sleep quality level of the user, including: Provide corresponding suggestions based on the judgment of the user's sleep level; Normal sleep level: Encourage the elderly to continue their current living habits and sleep schedule, including regular meal times, moderate daily activities, and fixed bedtimes and wake-up times; for example, go to bed between 9:30 and 10:00 p.m. and wake up between 6:00 and 6:30 a.m.; remind the elderly to maintain a comfortable and quiet sleeping environment, such as keeping the indoor temperature at 22-25 degrees Celsius and the humidity at 40% to 60%, and avoid excessive noise and strong light interference in the bedroom; Mild abnormal sleep level: It is recommended that the elderly increase their daytime exercise appropriately, but avoid strenuous exercise just before going to bed; for example, they can do light exercises such as walking and Tai Chi between 4 and 5 pm, and exercise for 30 to 45 minutes each time; at the same time, remind the elderly to reduce their daytime nap time and try to control it within 30 minutes; check whether there are factors that affect sleep in the sleeping environment, such as whether the mattress is comfortable and whether the pillow height is appropriate; if the light in the bedroom is too strong, blackout curtains can be installed; if the noise is too loud, earplugs can be used or sound insulation materials can be installed; encourage the elderly to do some relaxing activities before going to bed, such as taking a hot bath, listening to soft music, reading relaxing books, etc., to help the body and brain relax, relieve mental stress, and improve sleep quality; Severe sleep abnormalities: It is recommended that the elderly seek medical attention in a timely manner and undergo a comprehensive physical examination to rule out potential health problems, such as cardiovascular disease, respiratory disease, and neurological disease, which may affect sleep quality. At the same time, according to the doctor's advice, further sleep monitoring or treatment may be required, such as the use of medication to assist sleep, but attention should be paid to the side effects and usage specifications of the medication. Pay attention to the elderly's mental state, because severe sleep abnormalities may be related to psychological factors, such as anxiety and depression. The elderly can be advised to seek the help of professional psychological counselors or psychologists for psychological counseling and treatment. At the same time, family members and caregivers should give the elderly more care and companionship to reduce their psychological burden. Under the guidance of a doctor, make comprehensive adjustments to the elderly's lifestyle, including a reasonable diet, increasing the intake of foods rich in vitamins, minerals and dietary fiber, and reducing the intake of caffeine, alcohol and spicy foods; regular work and rest, ensuring sufficient sleep time every day, but not oversleeping; moderate exercise, and develop a personalized exercise plan based on the elderly's physical condition to gradually improve physical fitness and sleep quality.

[0024] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The influencing weight factors and specific coefficient values ​​in the formula are set by technical personnel in this field according to actual conditions, and can be adjusted and modified later.

[0025] The above description of the embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent elderly care monitoring system, characterized in that: include: Data collection module: obtains user's sleep-related data; Data processing module: classifies sleep-related data and analyzes them in sequence to obtain the true sleep index and interruption index respectively; Evaluation and processing module: This module comprehensively analyzes the actual sleep index and interruption index to obtain a quality evaluation coefficient. Based on the quality evaluation coefficient, it matches the corresponding sleep quality level and sends it to the manager's smart terminal. Judgment module: The manager judges the user's sleep quality based on the received user's sleep-related data and sleep quality level.

2. The intelligent elderly care monitoring system according to claim 1, characterized in that: The obtaining of the user's sleep-related data specifically includes: Obtain relevant data of the user's various sleep stages through the user's smart bracelet; Obtain the user's light-on data through the sensor at the light switch; And based on the signal transmission data between the smart bracelet and the sensor at the light switch, the lights in the room are intelligently controlled to turn on and off.

3. The intelligent elderly care monitoring system according to claim 2, characterized in that: The user's sleep-related data includes: Real sleep data and interruption data; Real sleep data includes sleeping heart rate, sleep duration, and number of tossing and turning; Intermittent data includes the number of times the light is turned on, the number of times the user gets up, and the distance between the smart bracelet and the light switch.

4. The intelligent elderly care monitoring system according to claim 3, characterized in that: The acquisition of real sleep index includes: Preset the corresponding awake heart rate value range and standard sleep duration for each gender in each age group; match the user's age and gender with them to obtain the user's awake heart rate value range and standard sleep duration; A heart rate reduction coefficient corresponding to sleep compared to wakefulness is preset, and the user's awake heart rate range is multiplied by (the difference between 1 and the heart rate reduction coefficient) to obtain the user's corresponding reference sleep heart rate range; The user's heart rate at each monitoring time point is obtained through the smart bracelet, and each heart rate obtained is compared with the reference sleep heart rate range. The heart rate within the reference sleep heart rate range is recorded as the sleep heart rate; The sleep ratio is obtained by counting the number of sleep heart rates and dividing it by the number of monitored heart rates; The duration corresponding to each sleep heart rate is accumulated to obtain the total sleep duration, and the total sleep duration is divided by the standard sleep duration to obtain the sleep percentage; And based on the data obtained by the acceleration sensor of the smart bracelet, the negative coefficient is obtained; The real sleep index is obtained by comprehensively analyzing the sleep ratio, sleep proportion and movement coefficient.

5. The intelligent elderly care monitoring system according to claim 4 is characterized in that: The method of obtaining the negative coefficient specifically includes the following parts: Get the time interval corresponding to the total sleep time, and get the monitored 、 、 The acceleration values ​​in the axis direction are preset in 、 、 The turning acceleration threshold in the axis direction will be 、 、 In the preset time period, any moment when the acceleration value on any two axes is greater than or equal to the corresponding turning acceleration threshold is recorded as the turning moment; The total number of turning over moments in the time period corresponding to the total sleep duration is accumulated and marked as the number of turning over times; Divide the number of tossing and turning by the total sleep duration to get the negativity coefficient.

6. The intelligent elderly care monitoring system according to claim 5, characterized in that: Obtaining the interruption index includes the following parts: Based on the signal transmission time difference between the smart bracelet and the light switch, the distance between the smart bracelet and the light switch is calculated; Draw a sphere with the light switch as the center and the preset size as the radius; Obtain the distance between the smart bracelet and the light switch, record it as the detection distance; compare the detection distance with the radius of the sphere; If the detection distance is less than the radius of the sphere, the time during which the distance between the smart bracelet and the light switch is continuously less than the radius of the sphere is recorded, and this time is recorded as the trigger time. The trigger time is then judged to control the light to perform the corresponding operation. The time interval between turning the light on and off after each judgment is recorded, and the adjacent turning on and off intervals are marked as a standing operation. Obtain the number of trigger times within the time period corresponding to the total sleep duration, and divide the cumulative number of trigger times by the total sleep duration to obtain the frequency of getting up; Obtain the time interval between turning on and off the light each time the user stands up, and accumulate the time interval between turning on and off the light each time the user stands up to obtain the continuous cumulative duration; Based on the user's sleeping habits, the time is divided into various time zones and each time zone is assigned a corresponding weight factor; Obtain the time zone corresponding to the time interval between turning on and off the light corresponding to each standup, and multiply the cumulative duration of each standup by the corresponding weight factor and sum them to obtain the continuity index; The interruption index was obtained by comprehensive analysis of the frequency of getting up and the persistence index.

7. The intelligent elderly care monitoring system according to claim 6, characterized in that: Based on the signal transmission data between the smart bracelet and the sensor at the light switch, the lights in the room are intelligently controlled, including: A trigger time threshold is preset, and the trigger time is compared with the trigger time threshold. If the trigger time is greater than the trigger time threshold, the automatic light-on operation is triggered.

8. The intelligent elderly care monitoring system according to claim 6, characterized in that: The quality assessment coefficient is obtained by comprehensively analyzing the real sleep index and the interruption index, including: After normalizing the real sleep index and the interruption index, the real sleep index and the interruption index are used as the two right-angled sides of a right triangle, and the remaining side is connected to form a complete right triangle. The midpoint of the right-angled side where the interruption index is located is used as the center of any side of the equilateral triangle, and 1 / 2 of the interruption index is used as the side of the equilateral triangle to construct an equilateral triangle. The area of ​​the right triangle after removing the equilateral triangle is calculated as the quality assessment coefficient.

9. The intelligent elderly care monitoring system according to claim 8, characterized in that: Three groups of value ranges corresponding to quality assessment coefficients are preset. The value range corresponding to each group of quality assessment coefficients corresponds to a sleep quality level. The quality assessment coefficients are matched with the value ranges corresponding to the three groups of sleep quality levels to obtain the sleep quality level corresponding to the quality assessment coefficients. The sleep quality levels include normal sleep level, mild abnormal sleep level, and severe abnormal sleep level.

10. The intelligent elderly care monitoring system according to claim 1, characterized in that: The judgment module specifically includes: Provide corresponding suggestions based on the judgment of the user's sleep level; Normal sleep level: Encourage the elderly to continue to maintain their current living habits and sleep schedule, including regular meal times, moderate daily activities, and fixed bedtimes and wake-up times; Mild abnormal sleep level: It is recommended that the elderly increase their daytime exercise appropriately, but avoid strenuous exercise before going to bed; check whether there are factors that affect sleep in the sleeping environment; encourage the elderly to do some relaxing activities before going to bed; Severe abnormal sleep level: It is recommended that the elderly seek medical treatment in time and undergo a comprehensive physical examination; pay attention to the elderly's mental state.

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