Electric field waveform frequency adjusting method and system of intelligent mattress and medium

Abstract

The invention provides an electric field waveform frequency adjusting method and system of an intelligent mattress and a medium. The method comprises the following steps: acquiring pressure monitoring data and user set mode data of the space electric field mattress, generating electric field waveforms with corresponding frequencies for different body parts according to the pressure monitoring data and the user set mode data, acquiring user sleep monitoring data, performing waveform frequency adjustment according to the user sleep monitoring data, and adjusting the electric field waveforms according to the user sleep monitoring data. Monitoring the sleep quality of the user before and after using the mattress to obtain sleep quality monitoring data, processing the sleep quality monitoring data to obtain sleep quality evaluation indexes before and after using the mattress, obtaining physiological index monitoring data of the user within a preset time period before and after using the mattress, and processing the physiological index evaluation indexes before and after using the mattress; performing frequency suitability feedback according to the sleep quality evaluation index and the physiological index evaluation index before and after the mattress is used; therefore, the purpose of improving the accuracy of electric field waveform frequency adjustment of the intelligent mattress is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of electric field waveform frequency regulation, and in particular to an electric field waveform frequency regulation method, system and medium for a smart mattress. Background Art

[0002] In recent years, with the popularization of the concepts of the Internet of Things and smart homes, the smart mattress market has developed rapidly. Smart mattresses can improve the sleep experience with the help of electric field technology, but they are often not smart enough in adjusting the frequency of the electric field waveform. In the existing technology, the adjustment of the electric field waveform frequency is mostly fixed or simple mode switching. It fails to generate an electric field waveform with an adaptive frequency according to the needs of different parts of the human body, nor can it be adjusted according to the human body's needs for the electric field frequency in different sleep stages and the feedback results of the user's sleep quality and physiological indicators before and after using the mattress. Therefore, there is an urgent need for a technology that can intelligently adjust the frequency of the electric field waveform, and can effectively monitor and evaluate the user's use effect and feedback optimization. Summary of the invention

[0003] The purpose of the present application is to provide a method, system and medium for adjusting the electric field waveform frequency of a smart mattress, which can generate an electric field waveform with an adaptive frequency according to the needs of different parts of the human body, and intelligently adjust the waveform frequency according to the human body's needs for the electric field frequency in different sleep stages and the feedback results of the user's sleep quality and physiological indicators before and after using the mattress, so as to improve the accuracy of the electric field waveform frequency adjustment of the smart mattress, thereby improving the user's sleep experience.

[0004] The present application also provides a method for adjusting the frequency of an electric field waveform of a smart mattress, comprising the following steps:

[0005] Obtaining pressure monitoring data and user setting mode data of the spatial electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data;

[0006] Obtain user sleep monitoring data, and adjust the waveform frequency according to the user sleep monitoring data;

[0007] Monitor the sleep quality of users before and after using the mattress, obtain sleep quality monitoring data, and process to obtain a sleep quality evaluation index before and after using the mattress;

[0008] Acquire the user's physiological index monitoring data within a preset time period before and after using the mattress, and process to obtain the physiological index evaluation index before and after using the mattress;

[0009] Frequency adaptability feedback is provided based on the sleep quality evaluation index and physiological index evaluation index before and after using the mattress.

[0010] Optionally, in the method for adjusting the frequency of the electric field waveform of the smart mattress described in the present application, the step of obtaining the pressure monitoring data and the user setting mode data of the spatial electric field mattress, and generating the electric field waveform of the corresponding frequency for different body parts according to the pressure monitoring data and the user setting mode data includes:

[0011] Obtaining pressure monitoring data of the space electric field mattress, and drawing a pressure distribution diagram according to the pressure monitoring data;

[0012] Perform edge detection on the pressure distribution map through an image contour extraction algorithm to obtain edge contour data;

[0013] Obtain the pressure value within the edge contour range, process the edge contour data and the pressure value using a preset decision tree classification algorithm, and obtain body part recognition data corresponding to the edge contour;

[0014] Obtain user-set mode data, input the user-set mode data into a preset waveform frequency recommendation list for matching and identification, and obtain the waveform recommendation frequency corresponding to each body part;

[0015] The mattress area position data corresponding to each body part is obtained, and the waveform recommended frequency and the mattress area position data are sent to the space electric field mattress intelligent control system. The space electric field mattress intelligent control system generates an electric field waveform of corresponding frequency according to the received waveform recommended frequency and mattress area position instruction.

[0016] Optionally, in the method for adjusting the electric field waveform frequency of the smart mattress described in the present application, the step of obtaining the user's sleep monitoring data and adjusting the waveform frequency according to the user's sleep monitoring data includes:

[0017] Obtain user sleep monitoring data, including heart rate, breathing rate, body movement frequency and body movement amplitude data;

[0018] Obtaining a sleep state assessment index according to the heart rate, respiratory rate, body movement frequency and body movement amplitude data processing;

[0019] Comparing the sleep state evaluation index with a preset sleep state evaluation index threshold, and if the sleep state evaluation index is less than the preset sleep state evaluation index threshold, determining the sleep state data according to the range level to which the threshold comparison result belongs;

[0020] Input the sleep state data into a preset waveform frequency recommendation list for matching and identification, obtain the waveform frequency corresponding to each body part, and send it to the spatial electric field mattress intelligent control system;

[0021] The spatial electric field mattress intelligent control system adjusts the waveform recommended frequency according to the waveform frequency.

[0022] Optionally, in the method for adjusting the electric field waveform frequency of the smart mattress described in the present application, monitoring the sleep quality of the user before and after using the mattress, obtaining sleep quality monitoring data, and processing to obtain a sleep quality evaluation index before and after using the mattress include:

[0023] Monitor the sleep quality of users before and after using the mattress to obtain sleep quality monitoring data, including sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night;

[0024] The sleep quality assessment index before using the mattress was obtained based on the sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night;

[0025] The sleep quality assessment index after use was obtained based on the proportion of sleep latency, sleep duration, proportion of deep sleep and number of awakenings at night after using the mattress.

[0026] Optionally, in the method for adjusting the electric field waveform frequency of the smart mattress described in the present application, the step of obtaining the user's physiological index monitoring data within a preset time period before and after using the mattress, and processing to obtain the physiological index evaluation index before and after using the mattress, includes:

[0027] The user's physiological index monitoring data includes abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate;

[0028] Obtaining a pre-use physiological index evaluation index based on the abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate before using the mattress;

[0029] The post-use physiological index evaluation index is obtained according to the abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate after using the mattress.

[0030] Optionally, in the method for adjusting the electric field waveform frequency of the smart mattress described in the present application, the frequency adaptability feedback is performed according to the sleep quality evaluation index and the physiological index evaluation index before and after using the mattress, including:

[0031] Inputting the sleep quality evaluation index before use, the sleep quality evaluation index after use, the physiological index evaluation index before use and the physiological index evaluation index after use into a preset waveform frequency adaptability evaluation model for processing to obtain a waveform frequency adaptability evaluation index;

[0032] The waveform frequency adaptability evaluation index is compared with a preset waveform frequency adaptability evaluation index threshold. If the threshold comparison result does not meet the preset threshold comparison result requirement, poor frequency adaptability feedback is sent to the spatial electric field mattress intelligent control system.

[0033] In a second aspect, the present application provides an electric field waveform frequency adjustment system for a smart mattress, the system comprising: a memory and a processor, the memory storing a program of an electric field waveform frequency adjustment method for the smart mattress, and the program of the electric field waveform frequency adjustment method for the smart mattress is executed by the processor to implement the following steps:

[0034] Obtaining pressure monitoring data and user setting mode data of the spatial electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data;

[0035] Obtain user sleep monitoring data, and adjust the waveform frequency according to the user sleep monitoring data;

[0036] Monitor the sleep quality of users before and after using the mattress, obtain sleep quality monitoring data, and process to obtain a sleep quality evaluation index before and after using the mattress;

[0037] Acquire the user's physiological index monitoring data within a preset time period before and after using the mattress, and process to obtain the physiological index evaluation index before and after using the mattress;

[0038] Frequency adaptability feedback is provided based on the sleep quality evaluation index and physiological index evaluation index before and after using the mattress.

[0039] Optionally, in the electric field waveform frequency adjustment system of the smart mattress described in the present application, the step of obtaining pressure monitoring data and user setting mode data of the spatial electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data includes:

[0040] Obtaining pressure monitoring data of the space electric field mattress, and drawing a pressure distribution diagram according to the pressure monitoring data;

[0041] Perform edge detection on the pressure distribution map through an image contour extraction algorithm to obtain edge contour data;

[0042] Obtain the pressure value within the edge contour range, process the edge contour data and the pressure value using a preset decision tree classification model, and obtain body part recognition data corresponding to the edge contour;

[0043] Obtain user-set mode data, input the user-set mode data into a preset waveform frequency recommendation list for matching and identification, and obtain the waveform recommendation frequency corresponding to each body part;

[0044] The mattress area position data corresponding to each body part is obtained, and the waveform recommended frequency and the mattress area position data are sent to the space electric field mattress intelligent control system. The space electric field mattress intelligent control system generates an electric field waveform of corresponding frequency according to the received waveform recommended frequency and mattress area position instruction.

[0045] Optionally, in the electric field waveform frequency adjustment system of the smart mattress described in the present application, the monitoring of the user's sleep quality before and after using the mattress, obtaining sleep quality monitoring data, and processing to obtain a sleep quality evaluation index before and after using the mattress include:

[0046] Monitor the sleep quality of users before and after using the mattress to obtain sleep quality monitoring data, including sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night;

[0047] The sleep quality assessment index before using the mattress was obtained based on the sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night;

[0048] The sleep quality assessment index after use was obtained based on the proportion of sleep latency, sleep duration, proportion of deep sleep and number of awakenings at night after using the mattress.

[0049] In a third aspect, the present application also provides a computer-readable storage medium, which stores a program for a method for adjusting the electric field waveform frequency of a smart mattress. When the program for adjusting the electric field waveform frequency of a smart mattress is executed by a processor, the steps of the method for adjusting the electric field waveform frequency of a smart mattress as described in any one of the above items are implemented.

[0050] From the above, it can be seen that the electric field waveform frequency adjustment method, system and medium of the smart mattress provided in the present application can generate an electric field waveform with an adaptive frequency according to the needs of different parts of the human body, and intelligently adjust the waveform frequency according to the human body's needs for the electric field frequency in different sleep stages and the feedback results of the user's sleep quality and physiological indicators before and after using the mattress, so as to achieve the purpose of improving the accuracy of the electric field waveform frequency adjustment of the smart mattress, thereby improving the user's sleep experience.

[0051] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1A flow chart of a method for adjusting the electric field waveform frequency of a smart mattress provided in an embodiment of the present application;

[0054] Figure 2 A flow chart of the method for adjusting the electric field waveform frequency of the smart mattress provided in an embodiment of the present application for generating electric field waveforms of corresponding frequencies for different body parts;

[0055] Figure 3 A flow chart of the method for adjusting the electric field waveform frequency of the smart mattress provided in an embodiment of the present application for adjusting the waveform frequency according to the user's sleep monitoring data;

[0056] Figure 4 A flow chart of a method for adjusting the electric field waveform frequency of a smart mattress provided in an embodiment of the present application for obtaining a sleep quality evaluation index before and after using the mattress. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0058] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0059] Please refer to Figure 1 , Figure 1 The flowchart of the method for adjusting the electric field waveform frequency of the smart mattress in some embodiments of the present application. The method for adjusting the electric field waveform frequency of the smart mattress is used in a terminal device, such as a computer, a mobile phone terminal, etc. The method for adjusting the electric field waveform frequency of the smart mattress includes the following steps:

[0060] S11, obtaining pressure monitoring data and user setting mode data of the spatial electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data;

[0061] S12, obtaining user sleep monitoring data, and adjusting the waveform frequency according to the user sleep monitoring data;

[0062] S13, monitoring the sleep quality of the user before and after using the mattress, obtaining sleep quality monitoring data, and processing to obtain a sleep quality evaluation index before and after using the mattress;

[0063] S14, obtaining the user's physiological index monitoring data within a preset time period before and after using the mattress, and processing to obtain the physiological index evaluation index before and after using the mattress;

[0064] S15. Provide frequency adaptability feedback based on the sleep quality evaluation index and physiological index evaluation index before and after using the mattress.

[0065] It should be noted that in order to improve the accuracy of intelligent adjustment of the electric field waveform frequency, the electric field waveform of corresponding frequency is first generated for different parts of the body according to the pressure monitoring data of the space electric field mattress and the user setting mode, and then the electric field frequency is adjusted according to the user's sleep state. The user's sleep quality and user physiological indicators before and after using the mattress are monitored, and frequency adaptability feedback is given to the space electric field mattress intelligent control system based on the monitoring results, thereby achieving the purpose of improving the accuracy of the electric field waveform frequency adjustment of the intelligent mattress and enhancing the user's sleep experience.

[0066] Please refer to Figure 2 , Figure 2 The flowchart of the method for adjusting the electric field waveform frequency of the smart mattress in some embodiments of the present application is to generate electric field waveforms of corresponding frequencies for different body parts. According to the embodiment of the present invention, the method of obtaining pressure monitoring data and user setting mode data of the space electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data includes:

[0067] S21, obtaining pressure monitoring data of the space electric field mattress, and drawing a pressure distribution diagram according to the pressure monitoring data;

[0068] S22, performing edge detection on the pressure distribution map by using an image contour extraction algorithm to obtain edge contour data;

[0069] S23, obtaining a pressure value within the edge contour range, and processing the edge contour data and the pressure value using a preset decision tree classification algorithm to obtain body part recognition data corresponding to the edge contour;

[0070] S24, obtaining user setting mode data, inputting the user setting mode data into a preset waveform frequency recommendation list for matching and identification, and obtaining a waveform recommendation frequency corresponding to each body part;

[0071] S25. Obtain mattress area position data corresponding to each body part, and send the waveform recommended frequency and mattress area position data to the space electric field mattress intelligent control system. The space electric field mattress intelligent control system generates an electric field waveform of corresponding frequency according to the received waveform recommended frequency and mattress area position instruction.

[0072] It should be noted that different body areas require different waveform frequencies. The head area uses a lower frequency and a smaller amplitude to avoid excessive stimulation, and the waist area uses a higher frequency and a larger amplitude to enhance the massage effect. Among them, the edge contour data can reflect the shape and geometric characteristics of the body parts, and the pressure value can reflect the pressure difference when different body parts contact the mattress. The edge contour data and pressure value can be used through a preset decision tree classification algorithm to realize the recognition of the user's body parts.

[0073] Please refer to Figure 3 , Figure 3 The flowchart of the method for adjusting the electric field waveform frequency of the smart mattress in some embodiments of the present application is to adjust the waveform frequency according to the user's sleep monitoring data. According to the embodiment of the present invention, the method of obtaining the user's sleep monitoring data and adjusting the waveform frequency according to the user's sleep monitoring data includes:

[0074] S31, obtaining user sleep monitoring data, including heart rate, breathing rate, body movement frequency and body movement amplitude data;

[0075] S32, obtaining a sleep state assessment index according to the heart rate, respiratory rate, body movement frequency and body movement amplitude data processing;

[0076] S33, comparing the sleep state evaluation index with a preset sleep state evaluation index threshold, and if the sleep state evaluation index is less than the preset sleep state evaluation index threshold, determining the sleep state data according to the range level to which the threshold comparison result belongs;

[0077] S34, inputting the sleep state data into a preset waveform frequency recommendation list for matching and identification, obtaining the waveform frequency corresponding to each body part, and sending it to the spatial electric field mattress intelligent control system;

[0078] S35. The spatial electric field mattress intelligent control system adjusts the waveform recommended frequency according to the waveform frequency.

[0079] It should be noted that the sleep state evaluation index is compared with the preset sleep state evaluation index threshold. If the sleep state evaluation index is less than the preset sleep state evaluation index threshold, it means that the user is about to fall asleep or has fallen asleep, and the frequencies corresponding to the initially recommended body parts need to be adjusted; if the sleep state evaluation index is greater than or equal to the preset sleep state evaluation index threshold, no adjustment is required;

[0080] The calculation formula of the sleep state evaluation index is:

[0081]

[0082] Among them, λ m is the sleep state assessment index, p m 、f r 、f h and h d are heart rate, respiratory rate, body movement frequency and body movement amplitude data respectively, and χ1, χ2, χ3 and χ4 are preset characteristic coefficients (which can be obtained by querying the preset spatial electric field mattress intelligent control system database).

[0083] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of a method for adjusting the electric field waveform frequency of a smart mattress in some embodiments of the present application for obtaining a sleep quality evaluation index before and after using the mattress. According to an embodiment of the present invention, the method of monitoring the sleep quality of the user before and after using the mattress, obtaining sleep quality monitoring data, and processing to obtain a sleep quality evaluation index before and after using the mattress includes:

[0084] S41. Monitor the sleep quality of the user before and after using the mattress to obtain sleep quality monitoring data, including sleep latency ratio, sleep duration, deep sleep ratio, and number of awakenings at night;

[0085] S42, obtaining a sleep quality assessment index before using the mattress based on the sleep latency ratio, sleep duration, deep sleep ratio, and number of awakenings at night;

[0086] S43. Obtain the sleep quality assessment index after use according to the sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night after using the mattress.

[0087] It should be noted that the sleep quality evaluation index before and after using the mattress is obtained by processing the user's sleep quality monitoring data before and after using the mattress;

[0088] The calculation formula of the sleep quality evaluation index before use is:

[0089]

[0090] Among them, φ c is the sleep quality assessment index before use, p r ,t h 、p c and n yThey are the sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night before using the mattress, and α1, α2, ε1 and ε2 are preset characteristic coefficients (which can be obtained by querying the preset spatial electric field mattress intelligent control system database);

[0091] The calculation formula of the sleep quality evaluation index after use is:

[0092]

[0093] Among them, φ′ c is the sleep quality evaluation index after use, p′ r , t′ h , p′ c and n′ y They are the percentage of sleep latency, sleep duration, percentage of deep sleep and number of awakenings at night after using the mattress.

[0094] According to an embodiment of the present invention, the step of obtaining the user's physiological index monitoring data within a preset time period before and after using the mattress, and processing to obtain the physiological index evaluation index before and after using the mattress, includes:

[0095] The user's physiological index monitoring data includes abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate;

[0096] Obtaining a pre-use physiological index evaluation index based on the abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate before using the mattress;

[0097] The post-use physiological index evaluation index is obtained according to the abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate after using the mattress.

[0098] It should be noted that the abnormal brain wave frequency rate indicates the ratio of the number of abnormal brain wave frequency characteristics to the total number of tests. The brain wave frequency characteristics are different in different sleep stages. When the electric field does not match the sleep stage, it may interfere with the normal electrical activity of brain neurons, thereby causing abnormal brain wave frequencies. For example, in the deep sleep period, the main wave should be delta waves, but a large number of beta waves or alpha waves may appear; the abnormal heart rate rate indicates the ratio of the number of abnormal heart rates of users to the total number of tests, and the abnormal heart rate variability rate indicates the ratio of the number of abnormal heart rate variability of users to the total number of tests;

[0099] The calculation formula of the physiological index evaluation index before use is:

[0100]

[0101] Among them, φ p is the physiological index evaluation index before use, r f 、rs and r b They are the abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate before using the mattress, and δ1, δ2 and δ3 are preset characteristic coefficients (which can be obtained through the preset spatial electric field mattress intelligence and database query);

[0102] The calculation formula of the post-use physiological index evaluation index is:

[0103]

[0104] Among them, φ p ′ is the physiological index evaluation index after use, r f ′、r s ′ and r b ′ are the abnormal rates of brain wave frequency, heart rate and heart rate variability after using the mattress.

[0105] According to an embodiment of the present invention, the frequency adaptability feedback is performed based on the sleep quality evaluation index and the physiological index evaluation index before and after using the mattress, including:

[0106] Inputting the sleep quality evaluation index before use, the sleep quality evaluation index after use, the physiological index evaluation index before use and the physiological index evaluation index after use into a preset waveform frequency adaptability evaluation model for processing to obtain a waveform frequency adaptability evaluation index;

[0107] The waveform frequency adaptability evaluation index is compared with a preset waveform frequency adaptability evaluation index threshold. If the threshold comparison result does not meet the preset threshold comparison result requirement, poor frequency adaptability feedback is sent to the spatial electric field mattress intelligent control system.

[0108] It should be noted that frequency adaptability feedback is provided based on the sleep quality evaluation index and physiological index evaluation index before and after using the mattress;

[0109] The processing formula of the waveform frequency adaptability evaluation model is:

[0110]

[0111] Among them, W s is the waveform frequency adaptability evaluation index, σ1 and σ2 are preset characteristic coefficients (which can be obtained by querying the preset spatial electric field mattress intelligent control system database).

[0112] According to an embodiment of the present invention, it also includes:

[0113] Conduct frequency stability test on the space electric field mattress to obtain frequency stability test data, including frequency average deviation value, electromagnetic interference stability rate and dynamic use stability rate;

[0114] Obtaining a frequency stability evaluation index according to the frequency average deviation value, electromagnetic interference stability rate and dynamic use stability rate;

[0115] The frequency stability evaluation index is compared with a preset frequency stability evaluation index threshold. If the threshold comparison result does not meet the preset threshold comparison result requirement, poor frequency stability feedback is sent to the spatial electric field mattress intelligent control system.

[0116] It should be noted that the frequency stability test is performed on the space electric field mattress, and frequency stability feedback is provided to the space electric field mattress intelligent control system based on the stability test results;

[0117] The calculation formula of the frequency stability evaluation index is:

[0118]

[0119] Among them, w f is the frequency stability evaluation index, d f 、c m and b s are the average frequency deviation value, electromagnetic interference stability rate and dynamic use stability rate respectively; β1, β2 and λ are preset characteristic coefficients (which can be obtained by querying the preset spatial electric field mattress intelligent control system database).

[0120] The present invention also discloses an electric field waveform frequency adjustment system for a smart mattress, comprising a memory and a processor, wherein the memory stores a method program for adjusting the electric field waveform frequency of the smart mattress, and when the method program for adjusting the electric field waveform frequency of the smart mattress is executed by the processor, the following steps are implemented:

[0121] Obtaining pressure monitoring data and user setting mode data of the spatial electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data;

[0122] Obtain user sleep monitoring data, and adjust the waveform frequency according to the user sleep monitoring data;

[0123] Monitor the sleep quality of users before and after using the mattress, obtain sleep quality monitoring data, and process to obtain a sleep quality evaluation index before and after using the mattress;

[0124] Acquire the user's physiological index monitoring data within a preset time period before and after using the mattress, and process to obtain the physiological index evaluation index before and after using the mattress;

[0125] Frequency adaptability feedback is provided based on the sleep quality evaluation index and physiological index evaluation index before and after using the mattress.

[0126] It should be noted that in order to improve the accuracy of intelligent adjustment of the electric field waveform frequency, the electric field waveform of corresponding frequency is first generated for different parts of the body according to the pressure monitoring data of the space electric field mattress and the user setting mode, and then the electric field frequency is adjusted according to the user's sleep state. The user's sleep quality and user physiological indicators before and after using the mattress are monitored, and frequency adaptability feedback is given to the space electric field mattress intelligent control system based on the monitoring results, thereby achieving the purpose of improving the accuracy of the electric field waveform frequency adjustment of the intelligent mattress and enhancing the user's sleep experience.

[0127] According to an embodiment of the present invention, the step of obtaining pressure monitoring data and user setting mode data of the spatial electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data, includes:

[0128] Obtaining pressure monitoring data of the space electric field mattress, and drawing a pressure distribution diagram according to the pressure monitoring data;

[0129] Perform edge detection on the pressure distribution map through an image contour extraction algorithm to obtain edge contour data;

[0130] Obtain the pressure value within the edge contour range, process the edge contour data and the pressure value using a preset decision tree classification algorithm, and obtain body part recognition data corresponding to the edge contour;

[0131] Obtain user-set mode data, input the user-set mode data into a preset waveform frequency recommendation list for matching and identification, and obtain the waveform recommendation frequency corresponding to each body part;

[0132] The mattress area position data corresponding to each body part is obtained, and the waveform recommended frequency and the mattress area position data are sent to the space electric field mattress intelligent control system. The space electric field mattress intelligent control system generates an electric field waveform of corresponding frequency according to the received waveform recommended frequency and mattress area position instruction.

[0133] It should be noted that different body areas require different waveform frequencies. The head area uses a lower frequency and a smaller amplitude to avoid excessive stimulation, and the waist area uses a higher frequency and a larger amplitude to enhance the massage effect. Among them, the edge contour data can reflect the shape and geometric characteristics of the body parts, and the pressure value can reflect the pressure difference when different body parts contact the mattress. The edge contour data and pressure value can be used through a preset decision tree classification algorithm to realize the recognition of the user's body parts.

[0134] According to an embodiment of the present invention, the step of obtaining user sleep monitoring data and adjusting the waveform frequency according to the user sleep monitoring data includes:

[0135] Obtain user sleep monitoring data, including heart rate, breathing rate, body movement frequency and body movement amplitude data;

[0136] Obtaining a sleep state assessment index according to the heart rate, respiratory rate, body movement frequency and body movement amplitude data processing;

[0137] Comparing the sleep state evaluation index with a preset sleep state evaluation index threshold, and if the sleep state evaluation index is less than the preset sleep state evaluation index threshold, determining the sleep state data according to the range level to which the threshold comparison result belongs;

[0138] Input the sleep state data into a preset waveform frequency recommendation list for matching and identification, obtain the waveform frequency corresponding to each body part, and send it to the spatial electric field mattress intelligent control system;

[0139] The spatial electric field mattress intelligent control system adjusts the waveform recommended frequency according to the waveform frequency.

[0140] It should be noted that the sleep state evaluation index is compared with the preset sleep state evaluation index threshold. If the sleep state evaluation index is less than the preset sleep state evaluation index threshold, it means that the user is about to fall asleep or has fallen asleep, and the frequencies corresponding to the initially recommended body parts need to be adjusted; if the sleep state evaluation index is greater than or equal to the preset sleep state evaluation index threshold, no adjustment is required;

[0141] The calculation formula of the sleep state evaluation index is:

[0142]

[0143] Among them, λ m is the sleep state assessment index, p m 、f r 、f h and h d are heart rate, respiratory rate, body movement frequency and body movement amplitude data respectively, and χ1, χ2, χ3 and χ4 are preset characteristic coefficients (which can be obtained by querying the preset spatial electric field mattress intelligent control system database).

[0144] According to an embodiment of the present invention, the step of monitoring the sleep quality of the user before and after using the mattress, obtaining sleep quality monitoring data, and processing to obtain a sleep quality evaluation index before and after using the mattress includes:

[0145] Monitor the sleep quality of users before and after using the mattress to obtain sleep quality monitoring data, including sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night;

[0146] The sleep quality assessment index before using the mattress was obtained based on the sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night;

[0147] The sleep quality assessment index after use was obtained based on the proportion of sleep latency, sleep duration, proportion of deep sleep and number of awakenings at night after using the mattress.

[0148] It should be noted that the sleep quality evaluation index before and after using the mattress is obtained by processing the user's sleep quality monitoring data before and after using the mattress;

[0149] The calculation formula of the sleep quality evaluation index before use is:

[0150]

[0151] Among them, φ c is the sleep quality assessment index before use, p r ,t h 、p c and n y They are the sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night before using the mattress, and α1, α2, ε1 and ε2 are preset characteristic coefficients (which can be obtained by querying the preset spatial electric field mattress intelligent control system database);

[0152] The calculation formula of the sleep quality evaluation index after use is:

[0153]

[0154] Among them, φ′ c is the sleep quality evaluation index after use, p′ r , t′ h , p′ c and n′ y They are the percentage of sleep latency, sleep duration, percentage of deep sleep and number of awakenings at night after using the mattress.

[0155] According to an embodiment of the present invention, the step of obtaining the user's physiological index monitoring data within a preset time period before and after using the mattress, and processing to obtain the physiological index evaluation index before and after using the mattress, includes:

[0156] The user's physiological index monitoring data includes abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate;

[0157] Obtaining a pre-use physiological index evaluation index based on the abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate before using the mattress;

[0158] The post-use physiological index evaluation index is obtained according to the abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate after using the mattress.

[0159] It should be noted that the abnormal brain wave frequency rate indicates the ratio of the number of abnormal brain wave frequency characteristics to the total number of tests. The brain wave frequency characteristics are different in different sleep stages. When the electric field does not match the sleep stage, it may interfere with the normal electrical activity of brain neurons, thereby causing abnormal brain wave frequencies. For example, in the deep sleep period, the main wave should be delta waves, but a large number of beta waves or alpha waves may appear; the abnormal heart rate rate indicates the ratio of the number of abnormal heart rates of users to the total number of tests, and the abnormal heart rate variability rate indicates the ratio of the number of abnormal heart rate variability of users to the total number of tests;

[0160] The calculation formula of the physiological index evaluation index before use is:

[0161]

[0162] Among them, φ p is the physiological index evaluation index before use, r f 、r s and r b They are the abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate before using the mattress, and δ1, δ2 and δ3 are preset characteristic coefficients (which can be obtained through the preset spatial electric field mattress intelligence and database query);

[0163] The calculation formula of the post-use physiological index evaluation index is:

[0164]

[0165] Among them, φ p ′ is the physiological index evaluation index after use, r f ′、r s ′ and r b ′ are the abnormal rates of brain wave frequency, heart rate and heart rate variability after using the mattress.

[0166] According to an embodiment of the present invention, the frequency adaptability feedback is performed based on the sleep quality evaluation index and the physiological index evaluation index before and after using the mattress, including:

[0167] Inputting the sleep quality evaluation index before use, the sleep quality evaluation index after use, the physiological index evaluation index before use and the physiological index evaluation index after use into a preset waveform frequency adaptability evaluation model for processing to obtain a waveform frequency adaptability evaluation index;

[0168] The waveform frequency adaptability evaluation index is compared with a preset waveform frequency adaptability evaluation index threshold. If the threshold comparison result does not meet the preset threshold comparison result requirement, poor frequency adaptability feedback is sent to the spatial electric field mattress intelligent control system.

[0169] It should be noted that frequency adaptability feedback is provided based on the sleep quality evaluation index and physiological index evaluation index before and after using the mattress;

[0170] The processing formula of the waveform frequency adaptability evaluation model is:

[0171]

[0172] Among them, W s is the waveform frequency adaptability evaluation index, σ1 and σ2 are preset characteristic coefficients (which can be obtained by querying the preset spatial electric field mattress intelligent control system database).

[0173] According to an embodiment of the present invention, it also includes:

[0174] Conduct frequency stability test on the space electric field mattress to obtain frequency stability test data, including frequency average deviation value, electromagnetic interference stability rate and dynamic use stability rate;

[0175] Obtaining a frequency stability evaluation index according to the frequency average deviation value, electromagnetic interference stability rate and dynamic use stability rate;

[0176] The frequency stability evaluation index is compared with a preset frequency stability evaluation index threshold. If the threshold comparison result does not meet the preset threshold comparison result requirement, poor frequency stability feedback is sent to the spatial electric field mattress intelligent control system.

[0177] It should be noted that the frequency stability test is performed on the space electric field mattress, and frequency stability feedback is provided to the space electric field mattress intelligent control system based on the stability test results;

[0178] The calculation formula of the frequency stability evaluation index is:

[0179]

[0180] Among them, w f is the frequency stability evaluation index, d f 、c m and b s are the average frequency deviation value, electromagnetic interference stability rate and dynamic use stability rate respectively; β1, β2 and λ are preset characteristic coefficients (which can be obtained by querying the preset spatial electric field mattress intelligent control system database).

[0181] A third aspect of the present invention provides a readable storage medium, which stores a program for a method for adjusting the electric field waveform frequency of a smart mattress. When the program for adjusting the electric field waveform frequency of a smart mattress is executed by a processor, the steps of the method for adjusting the electric field waveform frequency of a smart mattress as described in any one of the above items are implemented.

[0182] The present invention discloses a method, system and medium for adjusting the electric field waveform frequency of a smart mattress, which can generate an electric field waveform with an adaptive frequency according to the needs of different parts of the human body, and intelligently adjust the waveform frequency according to the needs of the human body for the electric field frequency in different sleep stages and the feedback results of the user's sleep quality and physiological indicators before and after using the mattress, so as to improve the accuracy of the electric field waveform frequency adjustment of the smart mattress, thereby improving the user's sleeping experience.

[0183] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0184] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0185] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0186] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0187] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for adjusting the electric field waveform frequency of a smart mattress, characterized in that: The following steps are involved: Obtaining pressure monitoring data and user setting mode data of the spatial electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data; Obtain user sleep monitoring data, and adjust the waveform frequency according to the user sleep monitoring data; Monitor the sleep quality of users before and after using the mattress, obtain sleep quality monitoring data, and process to obtain a sleep quality evaluation index before and after using the mattress; Acquire the user's physiological index monitoring data within a preset time period before and after using the mattress, and process to obtain the physiological index evaluation index before and after using the mattress; Frequency adaptability feedback is provided based on the sleep quality evaluation index and physiological index evaluation index before and after using the mattress.

2. The method for adjusting the electric field waveform frequency of a smart mattress according to claim 1, characterized in that: The step of obtaining pressure monitoring data and user setting mode data of the spatial electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data, includes: Obtaining pressure monitoring data of the space electric field mattress, and drawing a pressure distribution diagram according to the pressure monitoring data; Perform edge detection on the pressure distribution map through an image contour extraction algorithm to obtain edge contour data; Obtain the pressure value within the edge contour range, process the edge contour data and the pressure value using a preset decision tree classification algorithm, and obtain body part recognition data corresponding to the edge contour; Obtain user-set mode data, input the user-set mode data into a preset waveform frequency recommendation list for matching and identification, and obtain the waveform recommendation frequency corresponding to each body part; The mattress area position data corresponding to each body part is obtained, and the waveform recommended frequency and the mattress area position data are sent to the space electric field mattress intelligent control system. The space electric field mattress intelligent control system generates an electric field waveform of corresponding frequency according to the received waveform recommended frequency and mattress area position instruction.

3. The method for adjusting the electric field waveform frequency of the smart mattress according to claim 2, characterized in that: The step of obtaining the user's sleep monitoring data and adjusting the waveform frequency according to the user's sleep monitoring data includes: Obtain user sleep monitoring data, including heart rate, breathing rate, body movement frequency and body movement amplitude data; Obtaining a sleep state assessment index according to the heart rate, respiratory rate, body movement frequency and body movement amplitude data processing; Comparing the sleep state evaluation index with a preset sleep state evaluation index threshold, and if the sleep state evaluation index is less than the preset sleep state evaluation index threshold, determining the sleep state data according to the range level to which the threshold comparison result belongs; Input the sleep state data into a preset waveform frequency recommendation list for matching and identification, obtain the waveform frequency corresponding to each body part, and send it to the spatial electric field mattress intelligent control system; The spatial electric field mattress intelligent control system adjusts the waveform recommended frequency according to the waveform frequency.

4. The method for adjusting the electric field waveform frequency of the smart mattress according to claim 3, characterized in that: The monitoring of the user's sleep quality before and after using the mattress, obtaining sleep quality monitoring data, and processing to obtain a sleep quality evaluation index before and after using the mattress include: Monitor the sleep quality of users before and after using the mattress to obtain sleep quality monitoring data, including sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night; The sleep quality assessment index before using the mattress was obtained based on the sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night; The sleep quality assessment index after use was obtained based on the proportion of sleep latency, sleep duration, proportion of deep sleep and number of awakenings at night after using the mattress.

5. The method for adjusting the electric field waveform frequency of the smart mattress according to claim 4, characterized in that: The step of obtaining the user's physiological index monitoring data within a preset time period before and after using the mattress, and processing to obtain the physiological index evaluation index before and after using the mattress, includes: The user's physiological index monitoring data includes abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate; Obtaining a pre-use physiological index evaluation index based on the abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate before using the mattress; The post-use physiological index evaluation index is obtained according to the abnormal brain wave frequency rate, abnormal heart rate rate and abnormal heart rate variability rate after using the mattress.

6. The method for adjusting the electric field waveform frequency of a smart mattress according to claim 5, characterized in that: The frequency adaptability feedback is provided based on the sleep quality evaluation index and the physiological index evaluation index before and after using the mattress, including: Inputting the sleep quality evaluation index before use, the sleep quality evaluation index after use, the physiological index evaluation index before use and the physiological index evaluation index after use into a preset waveform frequency adaptability evaluation model for processing to obtain a waveform frequency adaptability evaluation index; The waveform frequency adaptability evaluation index is compared with a preset waveform frequency adaptability evaluation index threshold. If the threshold comparison result does not meet the preset threshold comparison result requirement, poor frequency adaptability feedback is sent to the spatial electric field mattress intelligent control system.

7. An electric field waveform frequency adjustment system for an intelligent mattress, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a program of a method for adjusting the electric field waveform frequency of a smart mattress, and when the program of the method for adjusting the electric field waveform frequency of the smart mattress is executed by the processor, the following steps are implemented: Obtaining pressure monitoring data and user setting mode data of the spatial electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data; Obtain user sleep monitoring data, and adjust the waveform frequency according to the user sleep monitoring data; Monitor the sleep quality of users before and after using the mattress, obtain sleep quality monitoring data, and process to obtain a sleep quality evaluation index before and after using the mattress; Acquire the user's physiological index monitoring data within a preset time period before and after using the mattress, and process to obtain the physiological index evaluation index before and after using the mattress; Frequency adaptability feedback is provided based on the sleep quality evaluation index and physiological index evaluation index before and after using the mattress.

8. The electric field waveform frequency adjustment system of the smart mattress according to claim 7, characterized in that: The step of obtaining pressure monitoring data and user setting mode data of the spatial electric field mattress, and generating electric field waveforms of corresponding frequencies for different body parts according to the pressure monitoring data and the user setting mode data, includes: Obtaining pressure monitoring data of the space electric field mattress, and drawing a pressure distribution diagram according to the pressure monitoring data; Perform edge detection on the pressure distribution map through an image contour extraction algorithm to obtain edge contour data; Obtain the pressure value within the edge contour range, process the edge contour data and the pressure value using a preset decision tree classification model, and obtain body part recognition data corresponding to the edge contour; Obtain user-set mode data, input the user-set mode data into a preset waveform frequency recommendation list for matching and identification, and obtain the waveform recommendation frequency corresponding to each body part; The mattress area position data corresponding to each body part is obtained, and the waveform recommended frequency and the mattress area position data are sent to the space electric field mattress intelligent control system. The space electric field mattress intelligent control system generates an electric field waveform of corresponding frequency according to the received waveform recommended frequency and mattress area position instruction.

9. The electric field waveform frequency adjustment system of the smart mattress according to claim 8, characterized in that: The monitoring of the user's sleep quality before and after using the mattress, obtaining sleep quality monitoring data, and processing to obtain a sleep quality evaluation index before and after using the mattress include: Monitor the sleep quality of users before and after using the mattress to obtain sleep quality monitoring data, including sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night; The sleep quality assessment index before using the mattress was obtained based on the sleep latency ratio, sleep duration, deep sleep ratio and number of awakenings at night; The sleep quality assessment index after use was obtained based on the proportion of sleep latency, sleep duration, proportion of deep sleep and number of awakenings at night after using the mattress.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an electric field waveform frequency adjustment program for a smart mattress. When the electric field waveform frequency adjustment program for a smart mattress is executed by a processor, the steps of the electric field waveform frequency adjustment method for a smart mattress according to any one of claims 1 to 6 are implemented.

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