A sleep instrument and sleep physiotherapy system and method cooperating with a smart bracelet

Abstract

The application discloses a sleep instrument and smart bracelet cooperative sleep physiotherapy system and method, relates to the field of intelligent sleep physiotherapy, and comprises a sleep instrument, a smart bracelet and an APP software system. The smart bracelet is in communication connection with the APP software system to collect and transmit sleep data, a heart rate and blood oxygen of a user. The sleep instrument is in communication connection with the APP software system to receive control instructions and default working parameters and upload working state information. The APP software system comprises a local data processing module and a parameter optimization module. The parameter optimization module analyzes historical sleep data and historical use parameters of the sleep instrument through a machine learning algorithm, selects an optimal combination from a plurality of preset working parameter combinations as the default working parameters, and issues the default working parameters to the sleep instrument. Meanwhile, the key, voice and APP remote multi-modal control are taken into account, the change from manual trial and error to data-driven intelligent recommendation of sleep physiotherapy is realized, and the personalized physiotherapy effect and operation experience of a user in a sleep scene are effectively improved.

Description

Technical Field

[0001] This application relates to the field of intelligent sleep therapy technology, and in particular to a sleep therapy system and method that integrates a sleep aid and a smart bracelet. Background Technology

[0002] Currently, with the fast pace of life and increasing work pressure, sleep disorders are becoming increasingly common, and sleep therapy devices are gradually entering home settings. Traditional sleep therapy devices typically operate independently, with users manually adjusting the device's settings, operating modes, and timer for sleep assistance. However, these devices cannot acquire key physiological data during the user's sleep process, such as heart rate, blood oxygen levels, sleep duration, and sleep stages. This results in a lack of correlation between the device's output therapy parameters and the user's current sleep state, often requiring users to repeatedly try and find suitable settings. Consequently, the therapeutic effects exhibit significant individual variability and uncertainty.

[0003] In existing technologies, wearable devices such as smart bracelets have mature capabilities for monitoring heart rate, blood oxygen, and sleep. However, sleep therapy devices and smart bracelets lack a data interoperability protocol, operating independently and failing to form a closed-loop control mechanism for data acquisition, effect evaluation, and parameter adjustment. This limits the continuous optimization of therapy effects and the improvement of personalization. Some therapy devices attempt to add wireless communication modules to enable remote control via mobile apps, but the app functions are mostly limited to remote adjustment of device parameters and simple timers, failing to achieve in-depth utilization of user sleep data. Even when usage history is recorded, it only remains at the data display level, without establishing a mapping relationship between usage parameters and sleep quality, let alone using machine learning algorithms to mine historical data to predict the optimal parameter combination. Summary of the Invention

[0004] The purpose of this application is to provide a sleep therapy system and method that integrates a sleep aid and a smart bracelet, thereby solving the aforementioned problems in the prior art.

[0005] To achieve the above objectives, this application provides a sleep therapy system that integrates a sleep aid and a smart bracelet, comprising: Sleep aids, smart bracelets, and app software systems; The smart bracelet is communicatively connected to the APP software system to collect the user's sleep data, heart rate, and blood oxygen, and transmit the collected data to the APP software system. The sleep device is communicatively connected to the APP software system, and is used to upload its working status information to the APP software system, and receive control commands and default working parameters issued by the APP software system; The APP software system includes a local data processing module and a parameter optimization module. The local data processing module stores the data collected by the smart bracelet and the working status information of the sleep aid. The parameter optimization module analyzes historical sleep data and the historical usage parameters of the sleep aid using machine learning algorithms, selects the optimal combination from multiple preset working parameter combinations, and sends this optimal combination as the default working parameter to the sleep aid. The APP software system displays the connection status of the sleep aid, its working status information, statistics on the sleep aid effect of each setting, visualization of AI recommended parameters, health reports, the connection status of the smart bracelet, and the collected data. The working status information includes the output waveform of the sleep aid, the current setting, and the remaining automatic shutdown time. The APP software system also sends control commands to the sleep aid, including setting adjustment commands, mode switching commands, and timed shutdown commands. When the APP software system is not open, the smart bracelet and the sleep aid operate independently.

[0006] Preferably, the sleep aid is equipped with a local control module, through which the user can adjust the power level, switch modes, and set a timer for shutdown. The sleep aid will synchronize the current working status information after setting to the APP software system for display, realizing bidirectional synchronization of the working status between the sleep aid and the APP software system.

[0007] Preferably, the local control module includes a button control submodule and a voice control submodule; The button control submodule is used by the user to adjust the power level, switch modes, and set a timer shutdown for the sleep aid via buttons. The voice control submodule allows users to adjust the power level, switch modes, and control the timer shutdown of the sleep aid via voice.

[0008] Preferably, the voice control submodule includes: Voice acquisition unit, used to acquire user voice signals; An environmental noise reduction unit is used to filter out background noise from the voice signal acquired by the voice acquisition unit. The background noise includes the sound of air conditioning, traffic outside the window, and the sound of other indoor equipment. The voice anti-false wake-up unit is used to determine whether the user's voice contains an active wake-up intention based on acoustic feature analysis, and to block the voice command recognition function when there is no active wake-up intention from the user; the non-active wake-up intentions include voice signals generated by the user turning over, coughing, snoring, sleep talking and environmental sound sources. The speech recognition unit is used to recognize speech signals that contain an active wake-up intention, as confirmed by the environmental noise reduction unit and the speech anti-false wake-up unit, and convert them into text commands. The instruction matching unit is used to perform fuzzy matching between the text instruction and the preset instruction set. If the matching is successful within the preset fault tolerance threshold, the corresponding control instruction is generated and the gear adjustment, mode switching or timed shutdown operation is executed. The wake-up method of the voice control submodule is a continuous triggering method: the user must first say the wake-up word to activate the voice recognition function, and then say the command word within the preset time window in order to generate a valid control command; if only the wake-up word is said without saying the command word within the time window, or if only the command word is said without saying the wake-up word first, the execution of the control command will not be triggered.

[0009] Preferably, the parameter optimization module includes: The history record submodule is used to obtain the preset working parameter combination actually used by the sleep device in each sleep therapy session, and the sleep quality score calculated by the APP software system based on the sleep data collected by the smart bracelet after the end of this therapy session, and to establish the correspondence between each preset working parameter combination and the historical sleep quality score; the preset working parameter combination is a fixed combination of the gear parameters, mode parameters and timed shutdown time parameters built into the sleep device. The comprehensive score calculation submodule is used to calculate a comprehensive score for each preset working parameter combination based on all sleep quality scores in the historical records, according to the correspondence established by the historical record submodule. The optimal combination selection submodule is used to compare the comprehensive scores of each preset working parameter combination and select the preset working parameter combination with the highest comprehensive score as the recommended target combination; The parameter application submodule is used to set the recommended target combination selected by the optimal combination selection submodule as the default power-on parameters of the sleep device and send it to the sleep device.

[0010] Preferably, the comprehensive score is calculated by weighting the average sleep quality score, the highest sleep quality score, and the frequency of use; and the comprehensive score calculation submodule assigns a higher weighting coefficient to the most recent N historical records than to earlier records during the calculation, so as to give priority to reflecting the user's recent sleep improvement trend.

[0011] Preferably, the parameter optimization module automatically triggers a comprehensive score update calculation after each sleep therapy session ends and the APP software system obtains the complete sleep data transmitted back by the smart bracelet, and automatically sends the newly selected recommended target combination the next time the APP software system connects to the sleep device.

[0012] Preferably, before setting the recommended target combination as the default boot parameter, the parameter application submodule detects whether the user has recently performed a manual control operation. If it is detected that the user has recently manually selected a preset working parameter combination through the button control submodule or the voice control submodule, the automatic distribution of the recommended target combination is paused, and the combination manually selected by the user is maintained as the current default boot parameter until the user confirms acceptance of the recommended target combination through the APP software system.

[0013] A sleep therapy method combining a sleep aid and a smart bracelet, comprising the following steps: S1: Data Collection and Display Steps: The smart bracelet collects the user's sleep data, heart rate, and blood oxygen and transmits them to the APP software system; the sleep aid device uploads its working status information to the APP software system; the APP software system displays the connection status of the sleep aid device and the smart bracelet, the working status information of the sleep aid device, statistics on the sleep aid effect of each setting, visualization of AI recommended parameters, health report, and the data collected by the smart bracelet; S2: Real-time control steps: The APP software system receives the control commands input by the user and sends them to the sleep device for execution. The user adjusts the gear, switches modes, and sets the timer shutdown through the local control module of the sleep device. The sleep device synchronizes the set working status information to the APP software system for display. S3: Parameter Optimization and Distribution Steps: The parameter optimization module of the APP software system obtains the preset working parameter combinations and corresponding sleep quality scores for each physiotherapy session, calculates the comprehensive score of each preset working parameter combination, and selects the combination with the highest comprehensive score as the recommended target combination; if it is detected that the user has recently performed a manual control operation, the automatic distribution is paused and the combination manually selected by the user is maintained until the user confirms acceptance of the recommended target combination; the determined default power-on parameters are automatically distributed by the APP software system the next time the sleep device is connected; S4: Offline operation steps: When the APP software system is not opened, the smart bracelet and the sleep aid operate independently.

[0014] Therefore, the sleep therapy system and method that combines a sleep aid and a smart bracelet, as described in this application, has the following beneficial effects: (1) This application achieves the convergence and fusion of user sleep data and sleep device working status information by connecting both the smart bracelet and the sleep device to the APP software system, breaking the situation of data isolation and providing a data foundation for subsequent data-based parameter optimization.

[0015] (2) This application integrates a parameter optimization module into the APP software system, uses machine learning algorithms to analyze historical sleep data and historical usage parameters of the sleep device, and automatically selects the optimal combination from multiple preset working parameter combinations as the default working parameters, which significantly improves the personalization of physiotherapy parameters and the stability of therapeutic effects.

[0016] (3) This application uses the average sleep quality score, the highest sleep quality score and the selection frequency to calculate the comprehensive score through the comprehensive score calculation submodule, and gives higher weight to the most recent N historical records, so that the parameter optimization can reflect the user's recent sleep improvement trend first, and improves the timeliness and accuracy of the recommendation results.

[0017] (4) This application sets up a local control module including a button control submodule and a voice control submodule on the sleep device, and adopts a dual triggering method of wake word plus instruction word in conjunction with the voice anti-false wake-up submodule and the environmental noise reduction submodule to achieve multimodal and highly reliable local control, solve the technical problems of inconvenient operation at night, environmental noise interference and false wake-up, and improve the user's operating experience in the sleep scenario.

[0018] The technical solution of this application will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0019] Figure 1 This is a framework diagram of a sleep therapy system that integrates a sleep aid and a smart bracelet, as described in this application. Figure 2 This is a flowchart illustrating the parameter optimization module in this application embodiment; Figure 3 This is a flowchart of the voice control submodule processing in an embodiment of this application. Detailed Implementation

[0020] The following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0021] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning as understood by a person of ordinary skill in the art to which this application pertains.

[0022] The terms "comprising" or "including," as used in this application, mean that the element preceding the term encompasses the element listed after the term, and do not exclude the possibility of encompassing other elements as well. The terms "inner," "outer," "upper," and "lower," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application. When the absolute position of the described object changes, the relative positional relationship may also change accordingly. In this application, unless otherwise expressly specified and limited, the term "attached," etc., should be interpreted broadly. For example, it can refer to a fixed connection, a detachable connection, or an integral part; it can refer to a direct connection or an indirect connection through an intermediate medium; it can refer to the internal communication of two elements or the interaction relationship between two elements. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0023] Example 1: A sleep therapy system that integrates a sleep aid and a smart bracelet, such as Figure 1 As shown, it includes: Sleep aids, smart bracelets, and app software systems; The smart bracelet is communicatively connected to the APP software system to collect the user's sleep data, heart rate, and blood oxygen, and transmit the collected data to the APP software system. The sleep device is communicatively connected to the APP software system, and is used to upload its working status information to the APP software system, and receive control commands and default working parameters issued by the APP software system; The APP software system includes a local data processing module and a parameter optimization module. The local data processing module stores the data collected by the smart bracelet and the working status information of the sleep aid. The parameter optimization module analyzes historical sleep data and the historical usage parameters of the sleep aid using machine learning algorithms, selects the optimal combination from multiple preset working parameter combinations, and sends this optimal combination as the default working parameter to the sleep aid. The APP software system displays the connection status of the sleep aid, its working status information, statistics on the sleep aid effect of each setting, visualization of AI recommended parameters, health reports, the connection status of the smart bracelet, and the collected data. The working status information includes the output waveform of the sleep aid, the current setting, and the remaining automatic shutdown time. The APP software system also sends control commands to the sleep aid, including setting adjustment commands, mode switching commands, and timed shutdown commands. When the APP software system is not open, the smart bracelet and the sleep aid operate independently.

[0024] The sleep aid is equipped with a local control module, through which users can adjust the power level, switch modes, and set a timer for shutdown. The sleep aid will synchronize the current working status information after setting to the APP software system for display, realizing two-way synchronization of the working status between the sleep aid and the APP software system.

[0025] The local control module includes a button control submodule and a voice control submodule; The button control submodule is used by the user to adjust the power level, switch modes, and set a timer shutdown for the sleep aid via buttons. The voice control submodule allows users to adjust the power level, switch modes, and control the timer shutdown of the sleep aid via voice.

[0026] The voice control submodule, such as Figure 3 As shown, it includes: Voice acquisition unit, used to acquire user voice signals; An environmental noise reduction unit is used to filter out background noise from the voice signal acquired by the voice acquisition unit. The background noise includes the sound of air conditioning, traffic outside the window, and the sound of other indoor equipment. The voice anti-false wake-up unit is used to determine whether the user's voice contains an active wake-up intention based on acoustic feature analysis, and to block the voice command recognition function when there is no active wake-up intention from the user; the non-active wake-up intentions include voice signals generated by the user turning over, coughing, snoring, sleep talking and environmental sound sources. The speech recognition unit is used to recognize speech signals that contain an active wake-up intention, as confirmed by the environmental noise reduction unit and the speech anti-false wake-up unit, and convert them into text commands. The instruction matching unit is used to perform fuzzy matching between the text instruction and the preset instruction set. If the matching is successful within the preset fault tolerance threshold, the corresponding control instruction is generated and the gear adjustment, mode switching or timed shutdown operation is executed. The wake-up method of the voice control submodule is a continuous triggering method: the user must first say the wake-up word to activate the voice recognition function, and then say the command word within the preset time window in order to generate a valid control command; if only the wake-up word is said without saying the command word within the time window, or if only the command word is said without saying the wake-up word first, the execution of the control command will not be triggered.

[0027] The parameter optimization module, such as Figure 2 As shown, it includes: The history record submodule is used to obtain the preset working parameter combination actually used by the sleep device in each sleep therapy session, and the sleep quality score calculated by the APP software system based on the sleep data collected by the smart bracelet after the end of this therapy session, and to establish the correspondence between each preset working parameter combination and the historical sleep quality score; the preset working parameter combination is a fixed combination of the gear parameters, mode parameters and timed shutdown time parameters built into the sleep device. The sleep quality score is calculated as follows: The APP software system obtains multi-dimensional physiological data from the smart bracelet during this physiotherapy process, including total sleep duration, percentage of deep sleep, average heart rate, blood oxygen saturation, and number of awakenings. After standardizing each of the above indicators on a 0-100 scale, the data is weighted and summed according to the following formula to obtain the sleep quality score for this physiotherapy: ; in, This represents the standardized score of total sleep duration. The standardized score represents the percentage of deep sleep time. This represents the standardized score of average heart rate. This represents the standardized score of blood oxygen saturation. This represents the standardized score of the number of awakenings; , , , , For the preset weighting coefficients, and As a preferred option, The value is 0.25. The value is 0.30. The value is 0.15. The value is 0.15. The value is 0.15, meaning that the percentage of deep sleep time and total sleep time are given high weight, while the number of awakenings is considered a negative influencing factor. The score ranges from 0 to 100, with a higher score indicating better sleep quality. The APP software system associates and stores the preset working parameter combinations of each physical therapy session with the corresponding sleep quality score, forming a historical record for the parameter optimization module to access.

[0028] The comprehensive score calculation submodule is used to calculate a comprehensive score for each preset working parameter combination based on all sleep quality scores in the historical records, according to the correspondence established by the historical record submodule. The optimal combination selection submodule is used to compare the comprehensive scores of each preset working parameter combination and select the preset working parameter combination with the highest comprehensive score as the recommended target combination; The comprehensive score is calculated by weighting the average sleep quality score, the highest sleep quality score, and the frequency of use. Furthermore, when calculating the comprehensive score, the submodule assigns a higher weighting coefficient to the most recent N historical records than to earlier records, so as to prioritize reflecting the user's recent sleep improvement trend.

[0029] Specifically, the comprehensive score calculation submodule is used to calculate a comprehensive score for each preset working parameter combination based on all sleep quality scores in the historical records, according to the correspondence established by the historical record submodule. Specifically, the APP software system has multiple preset working parameter combinations, each a fixed combination of gear parameters, mode parameters, and timed shutdown time parameters. Taking a preset combination A as an example, if this combination was used in M ​​treatments in the historical records, and after each treatment, the APP software system calculates a corresponding sleep quality score (0-100 points) based on the sleep data collected by the smart bracelet, then the comprehensive score for this combination is calculated from these M sleep quality scores in the following way: The comprehensive score is a weighted sum of three scores: the first is the arithmetic mean of all historical sleep quality scores for the combination, reflecting the average therapeutic effect of the combination; the second is the highest single score in the combination's historical history, reflecting the combination's optimal therapeutic potential; and the third is the combination's usage frequency score, which is the percentage of times the combination was used out of the total number of treatments, mapped onto a percentage scale, reflecting the user's preference for the combination. These three scores are multiplied by their respective preset weighting coefficients and then summed to obtain the comprehensive score of the combination. Preferably, the weighting coefficient for the average sleep quality score is 0.5, the weighting coefficient for the highest sleep quality score is 0.25, and the weighting coefficient for the usage frequency score is 0.25. That is, the average sleep quality score reflects long-term stability and is given the highest weight, while the highest sleep quality score and the usage frequency score are used as supplementary references.

[0030] To prioritize reflecting users' recent sleep improvement trends, the comprehensive score calculation submodule assigns a higher weighting coefficient to the most recent N historical records when calculating the average sleep quality score. Specifically, historical records of the same preset combination are arranged chronologically, with different weighting coefficients assigned to recent and earlier records. The weighting coefficient for recent records is higher than that for earlier records, thus ensuring the comprehensive score better reflects the user's recent sleep improvement trend and avoiding interference from invalid or abnormal early data in the recommendation results. Furthermore, if the total number of historical records is less than N, all records are calculated with equal weight; once the cumulative number of records reaches N, the calculation automatically switches to a weighted average method. Based on the above calculations, preset working parameter combinations with higher comprehensive scores indicate better overall performance in historical usage and should be prioritized for recommendation.

[0031] Taking a specific usage scenario as an example, suppose the sleep aid has three preset working parameter combinations: combination A, combination B, and combination C. A user has multiple treatment records in their history, with each combination being selected a certain number of times, and each treatment corresponding to a sleep quality score. The comprehensive score calculation submodule calculates a comprehensive score for each combination, compares the comprehensive scores of the three combinations, selects the highest-scoring combination as the recommended target combination, and sends it to the sleep aid as the default startup parameter.

[0032] The parameter application submodule is used to set the recommended target combination selected by the optimal combination selection submodule as the default power-on parameters of the sleep device and send it to the sleep device.

[0033] The parameter optimization module automatically triggers a comprehensive score update calculation after each sleep therapy session ends and the APP software system obtains the complete sleep data transmitted back by the smart bracelet. The newly selected recommended target combination is automatically sent the next time the APP software system connects to the sleep device.

[0034] Before setting the recommended target combination as the default boot parameters, the parameter application submodule checks whether the user has recently performed a manual control operation. If it is detected that the user has recently manually selected a preset working parameter combination through the button control submodule or the voice control submodule, the automatic distribution of the recommended target combination is paused, and the combination manually selected by the user is maintained as the current default boot parameters until the user confirms acceptance of the recommended target combination through the APP software system.

[0035] Example 2: A sleep therapy method combining a sleep aid and a smart bracelet, comprising the following steps: S1: Data Collection and Display Steps: The smart bracelet collects the user's sleep data, heart rate, and blood oxygen and transmits them to the APP software system; the sleep aid device uploads its working status information to the APP software system; the APP software system displays the connection status of the sleep aid device and the smart bracelet, the working status information of the sleep aid device, statistics on the sleep aid effect of each setting, visualization of AI recommended parameters, health report, and the data collected by the smart bracelet; S2: Real-time control steps: The APP software system receives the control commands input by the user and sends them to the sleep device for execution. The user adjusts the gear, switches modes, and sets the timer shutdown through the local control module of the sleep device. The sleep device synchronizes the set working status information to the APP software system for display. S3: Parameter Optimization and Distribution Steps: The parameter optimization module of the APP software system obtains the preset working parameter combinations and corresponding sleep quality scores for each physiotherapy session, calculates the comprehensive score of each preset working parameter combination, and selects the combination with the highest comprehensive score as the recommended target combination; if it is detected that the user has recently performed a manual control operation, the automatic distribution is paused and the combination manually selected by the user is maintained until the user confirms acceptance of the recommended target combination; the determined default power-on parameters are automatically distributed by the APP software system the next time the sleep device is connected; S4: Offline operation steps: When the APP software system is not opened, the smart bracelet and the sleep aid operate independently.

[0036] Therefore, this application adopts the aforementioned sleep therapy system and method that combines a sleep aid and a smart bracelet. Through data fusion between the smart bracelet and the sleep aid, intelligent filtering of the parameter optimization module, multiple anti-false wake-up mechanisms for voice control, and conflict handling prioritizing manual operation, it realizes the transformation of sleep therapy from manual trial and error to data-driven intelligent recommendation, effectively improving the personalized therapy effect and the user's operating experience in sleep scenarios.

[0037] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application and not to limit them. Although this application has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of this application, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of this application.

Claims

1. A sleep therapy system that integrates a sleep aid and a smart bracelet, characterized in that, include: Sleep aids, smart bracelets, and app software systems; The smart bracelet is communicatively connected to the APP software system to collect the user's sleep data, heart rate, and blood oxygen, and transmit the collected data to the APP software system. The sleep device is communicatively connected to the APP software system, and is used to upload its working status information to the APP software system, and receive control commands and default working parameters issued by the APP software system; The APP software system includes a local data processing module and a parameter optimization module. The local data processing module is used to store the data collected by the smart bracelet and the working status information of the sleep device. The parameter optimization module is used to analyze historical sleep data and the historical usage parameters of the sleep device through machine learning algorithms, select the optimal combination from multiple preset working parameter combinations, and send the optimized default working parameters to the sleep device. The APP software system is used to display the connection status of the sleep aid, the working status information of the sleep aid, the statistics of the sleep aid effect of each setting, the visualization of AI recommended parameters, health reports, the connection status of the smart bracelet, and the collected data; the working status information includes the output waveform of the sleep aid, the current setting, and the remaining automatic shutdown time; the APP software system is also used to send control commands to the sleep aid, including setting adjustment commands, mode switching commands, and timed shutdown commands; When the APP software system is not open, the smart bracelet and the sleep aid operate independently.

2. The sleep therapy system combining a sleep aid and a smart bracelet as described in claim 1, characterized in that, The sleep aid is equipped with a local control module, through which users can adjust the power level, switch modes, and set a timer for shutdown. The sleep aid will synchronize the current working status information after setting to the APP software system for display, realizing two-way synchronization of the working status between the sleep aid and the APP software system.

3. The sleep therapy system combining a sleep aid and a smart bracelet as described in claim 2, characterized in that, The local control module includes a button control submodule and a voice control submodule; The button control submodule is used by the user to adjust the power level, switch modes, and set a timer shutdown for the sleep aid via buttons. The voice control submodule allows users to adjust the power level, switch modes, and control the timer shutdown of the sleep aid via voice.

4. The sleep therapy system combining a sleep aid and a smart bracelet as described in claim 3, characterized in that, The voice control submodule includes: Voice acquisition unit, used to acquire user voice signals; An environmental noise reduction unit is used to filter out background noise from the voice signal acquired by the voice acquisition unit. The background noise includes the sound of air conditioning, traffic outside the window, and the sound of other indoor equipment. The voice anti-false wake-up unit is used to determine whether the user's voice contains an active wake-up intention based on acoustic feature analysis, and to block the voice command recognition function when there is no active wake-up intention from the user; the non-active wake-up intentions include voice signals generated by the user turning over, coughing, snoring, sleep talking and environmental sound sources. The speech recognition unit is used to recognize speech signals that contain an active wake-up intention, as confirmed by the environmental noise reduction unit and the speech anti-false wake-up unit, and convert them into text commands. The instruction matching unit is used to perform fuzzy matching between the text instruction and the preset instruction set. If the matching is successful within the preset fault tolerance threshold, the corresponding control instruction is generated and the gear adjustment, mode switching or timed shutdown operation is executed. The wake-up method of the voice control submodule is a continuous triggering method: the user must first say the wake-up word to activate the voice recognition function, and then say the command word within the preset time window in order to generate a valid control command; if only the wake-up word is said without saying the command word within the time window, or if only the command word is said without saying the wake-up word first, the execution of the control command will not be triggered.

5. A sleep therapy system combining a sleep aid and a smart bracelet as described in claim 4, characterized in that, The parameter optimization module includes: The history record submodule is used to obtain the preset working parameter combination actually used by the sleep device in each sleep therapy session, and the sleep quality score calculated by the APP software system based on the sleep data collected by the smart bracelet after the end of this therapy session, and to establish the correspondence between each preset working parameter combination and the historical sleep quality score; the preset working parameter combination is a fixed combination of the gear parameters, mode parameters and timed shutdown time parameters built into the sleep device. The comprehensive score calculation submodule is used to calculate a comprehensive score for each preset working parameter combination based on all sleep quality scores in the historical records, according to the correspondence established by the historical record submodule. The optimal combination selection submodule is used to compare the comprehensive scores of each preset working parameter combination and select the preset working parameter combination with the highest comprehensive score as the recommended target combination; The parameter application submodule is used to set the recommended target combination selected by the optimal combination selection submodule as the default power-on parameters of the sleep device and send it to the sleep device.

6. A sleep therapy system combining a sleep aid and a smart bracelet as described in claim 5, characterized in that, The comprehensive score is calculated by weighting the average sleep quality score, the highest sleep quality score, and the frequency of use. Furthermore, when calculating the comprehensive score, the submodule assigns a higher weighting coefficient to the most recent N historical records than to earlier records, so as to prioritize reflecting the user's recent sleep improvement trend.

7. A sleep therapy system combining a sleep aid and a smart bracelet as described in claim 6, characterized in that, The parameter optimization module automatically triggers a comprehensive score update calculation after each sleep therapy session ends and the APP software system obtains the complete sleep data transmitted back by the smart bracelet. The newly selected recommended target combination is automatically sent the next time the APP software system connects to the sleep device.

8. A sleep therapy system combining a sleep aid and a smart bracelet as described in claim 7, characterized in that, Before setting the recommended target combination as the default boot parameters, the parameter application submodule checks whether the user has recently performed a manual control operation. If it is detected that the user has recently manually selected a preset working parameter combination through the button control submodule or the voice control submodule, the automatic distribution of the recommended target combination is paused, and the combination manually selected by the user is maintained as the current default boot parameters until the user confirms acceptance of the recommended target combination through the APP software system.

9. A sleep therapy method combining a sleep aid and a smart bracelet, employing a sleep therapy system combining a sleep aid and a smart bracelet as described in any one of claims 1-8, characterized in that, Includes the following steps: S1: Data Collection and Display Steps: The smart bracelet collects the user's sleep data, heart rate, and blood oxygen and transmits them to the APP software system; the sleep aid device uploads its working status information to the APP software system; the APP software system displays the connection status of the sleep aid device and the smart bracelet, the working status information of the sleep aid device, statistics on the sleep aid effect of each setting, visualization of AI recommended parameters, health report, and the data collected by the smart bracelet; S2: Real-time control steps: The APP software system receives the control commands input by the user and sends them to the sleep device for execution. The user adjusts the gear, switches modes, and sets the timer shutdown through the local control module of the sleep device. The sleep device synchronizes the set working status information to the APP software system for display. S3: Parameter Optimization and Distribution Steps: The parameter optimization module of the APP software system obtains the preset working parameter combinations and corresponding sleep quality scores for each physiotherapy session, calculates the comprehensive score of each preset working parameter combination, and selects the combination with the highest comprehensive score as the recommended target combination; if it is detected that the user has recently performed a manual control operation, the automatic distribution is paused and the combination manually selected by the user is maintained until the user confirms acceptance of the recommended target combination; the determined default power-on parameters are automatically distributed by the APP software system the next time the sleep device is connected; S4: Offline operation steps: When the APP software system is not opened, the smart bracelet and the sleep aid operate independently.

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