Pillow sound temperature dual-mode adaptive regulation method and system

Abstract

The application relates to a pillow sound temperature dual-mode adaptive regulation method and system. The method uses a high-sensitivity piezoelectric film sensor arranged in a pillow to collect pressure micro-motion signals, and obtains a breathing waveform and a user sleep posture parameter from the signals; the breathing waveform is subjected to breathing cycle and breathing variability analysis to determine a breathing frequency change, a breathing variability parameter and a physiological state index; sound temperature coordination regulation constraint parameters are determined according to the physiological state index, the breathing frequency change and the user sleep posture parameter, and sound regulation parameters and thermal regulation parameters are generated according to the constraint parameters to adjust the beat, tone and temperature gradient of a pillow contact surface of background music. The scheme can coordinate and regulate acoustic stimulation and thermal stimulation according to the user's autonomous breathing frequency change and posture state.

Description

Technical Field

[0001] This invention relates to the field of intelligent bedding and physiological signal adaptive regulation technology, and in particular to a pillow sound and temperature dual-mode adaptive regulation method and system. Background Technology

[0002] With the development of sleep health management technology, smart pillows, sleep-aid audio devices, and temperature-controlled bedding are increasingly being used to improve users' sleep environment. Existing smart pillows typically use pressure sensors, piezoelectric sensors, microphones, or other physiological signal acquisition components to obtain the user's breathing, body movement, snoring, or sleep status, and play sleep-aid music, issue prompts, adjust pillow height, or control temperature based on the detection results.

[0003] In existing technologies, auditory and thermal stimuli are typically triggered as independent sleep aids. For example, some methods play fixed music when the user is not asleep or has an abnormal sleep state; some adjust the pillow heating temperature based on the environment or the user's condition; and some perform a single sleep-aid intervention based on respiratory rate or body movement. These methods can improve the sleep environment to some extent, but there is a lack of stable synergistic constraints between their acoustic and thermal regulation and changes in the user's spontaneous breathing.

[0004] Especially when users turn over, lie on their side, lie on their stomach, or change positions, the pressure micro-motion signals collected by the sensors inside the pillow easily contain both respiratory fluctuations and postural changes. If the music beat, timbre, or pillow temperature is directly adjusted based solely on a single respiratory rate or a rough sleep state, problems such as mismatched adjustment timing, abrupt changes in adjustment amplitude, and interference between sound and temperature stimuli can easily occur, thereby increasing sleep disturbances. Existing solutions struggle to simultaneously obtain respiratory waveforms and sleep posture parameters based on the same pressure micro-motion signals, and to unify respiratory rate changes, respiratory variability, and postural stability into coordinated constraints of acoustic and thermal regulation.

[0005] Therefore, there is an urgent need for a dual-mode adaptive control scheme for sound and temperature in pillows to solve the problem that sound and temperature stimulation in existing pillow sleep aid control is difficult to coordinate and adjust with changes in the user's spontaneous breathing rate and sleep posture. Summary of the Invention

[0006] This invention provides a pillow sound and temperature dual-mode adaptive control method and system to solve the problem that sound stimulation and temperature stimulation in existing pillow sleep aid control are difficult to coordinate and adjust with changes in the user's spontaneous breathing frequency and sleep posture.

[0007] This invention provides a pillow sound-temperature dual-mode adaptive control method, comprising: A high-sensitivity piezoelectric thin-film sensor installed inside the pillow continuously collects the pressure micro-motion signals of the user during pillow use, and obtains the breathing waveform and user sleep posture parameters based on the pressure micro-motion signals; The respiratory waveform is subjected to respiratory cycle analysis and respiratory variability analysis to determine the respiratory rate change and respiratory variability parameters, and physiological state indicators are generated based on the respiratory rate change and respiratory variability parameters to characterize the user's sleep physiological state. The sleep regulation state is determined based on the physiological state indicators, and the acoustic-thermal coordinated regulation constraint parameters under the sleep regulation state are determined based on the respiratory rate change and the user sleep posture parameters. The acoustic-thermal coordinated regulation constraint parameters include rhythm regulation window constraint, temperature gradient change window constraint, and regulation amplitude constraint. The acoustic-thermal coordinated regulation constraint parameters are used to limit the generation range of the acoustic regulation parameters and the thermal regulation parameters. Based on the sound-temperature coordinated control constraint parameters, acoustic control parameters and thermal control parameters are generated respectively. The acoustic control parameters include the rhythm control parameters and timbre control parameters of the background music, and the thermal control parameters include the temperature gradient control parameters of the pillow contact surface. The rhythm and timbre of the background music, as well as the temperature gradient of the pillow contact surface, are adjusted according to the acoustic and thermal control parameters, respectively, so that the acoustic and thermal stimuli are gradually adjusted according to the user's spontaneous breathing frequency in a stable posture state, and the adjustment range of acoustic and thermal stimuli is limited in a posture transition state.

[0008] The present invention also provides a pillow sound-temperature dual-mode adaptive control system, comprising: The breathing posture acquisition module is used to continuously collect the pressure micro-motion signals of the user during pillow use using a high-sensitivity piezoelectric thin film sensor installed inside the pillow, and obtain the breathing waveform and user sleep posture parameters based on the pressure micro-motion signals; The physiological state analysis module is used to perform respiratory cycle analysis and respiratory variability analysis on the respiratory waveform, determine the respiratory rate change and respiratory variability parameters, and generate physiological state indicators to characterize the user's sleep physiological state based on the respiratory rate change and the respiratory variability parameters. The constraint parameter determination module is used to determine the sleep regulation state based on the physiological state indicators, and to determine the acoustic-thermal coordinated regulation constraint parameters under the sleep regulation state based on the respiratory rate change and the user sleep posture parameters. The acoustic-thermal coordinated regulation constraint parameters include rhythm regulation window constraints, temperature gradient change window constraints, and regulation amplitude constraints. The acoustic-thermal coordinated regulation constraint parameters are used to limit the generation range of the acoustic regulation parameters and the thermal regulation parameters. The control parameter generation module is used to generate acoustic control parameters and thermal control parameters based on the sound-temperature coordinated control constraint parameters. The acoustic control parameters include the rhythm control parameters and timbre control parameters of the background music, and the thermal control parameters include the temperature gradient control parameters of the pillow contact surface. The control execution module is used to adjust the rhythm and timbre of the background music and the temperature gradient of the pillow contact surface according to the acoustic control parameters and the thermal control parameters, so that the acoustic stimulation and thermal stimulation are gradually adjusted according to the user's spontaneous breathing frequency in a stable posture state, and the control amplitude of acoustic stimulation and thermal stimulation is limited in a posture transition state. The update module is used to re-acquire the user's pressure micro-motion signal after adjustment, obtain the updated respiratory waveform and updated user sleep posture parameters based on the re-acquired pressure micro-motion signal, and re-register the acoustic control parameters and thermal control parameters based on the updated physiological state indicators, updated respiratory rate changes, and updated user sleep posture parameters.

[0009] In summary, by adopting the technical solution of this application, the high-sensitivity piezoelectric thin-film sensor can simultaneously collect pressure micro-motion signals during pillow use, and obtain respiratory waveforms and user sleep posture parameters from the same signal. This allows respiratory fluctuations, body movement changes, and posture transitions to be continuously identified from the same data source. Further periodic and variability analysis of the respiratory waveform can determine respiratory rate changes and physiological state indicators, enabling the slowing, stabilization, or fluctuation of the user's spontaneous breathing rhythm to be transformed into sleep regulation states and corresponding regulatory constraints. Furthermore, since physiological state indicators, respiratory rate changes, and sleep posture parameters together form acoustic-thermal synergistic regulation constraint parameters, the subsequently generated acoustic... The control parameters and thermal control parameters can be simultaneously limited by the rhythm window, temperature change window, and control amplitude. This ensures that the background music beat, timbre, and temperature gradient of the pillow contact surface do not change in isolation, but are gradually adjusted under the combined constraints of the user's spontaneous breathing rate and sleep posture. Therefore, when the posture is stable, it can reduce additional interference with sleep, and when the posture changes, it can suppress sudden changes in sound and temperature stimulation. Furthermore, by re-collecting pressure micro-motion signals to update the control parameters, it avoids continuously using control methods that are not compatible with the current sleep state. This solves the problem in existing pillow sleep aid control where sound and temperature stimulation are difficult to coordinate and adjust with changes in the user's spontaneous breathing rate and sleep posture. Attached Figure Description

[0010] Figure 1 This is a schematic diagram of the overall architecture of a pillow sound-temperature dual-mode adaptive control system in one embodiment of the present invention.

[0011] Figure 2 This is a flowchart illustrating the pillow sound-temperature dual-mode adaptive control method in one embodiment of the present invention.

[0012] Figure 3 This is a schematic diagram of the pressure micro-motion signal processing flow in one embodiment of the present invention.

[0013] Figure 4 This is a schematic diagram of the process for generating physiological state indicators in one embodiment of the present invention.

[0014] Figure 5 This is a schematic diagram of the process for determining the constraint parameters for sound-temperature coordinated regulation in one embodiment of the present invention.

[0015] Figure 6 This is a schematic diagram of the acoustic control parameter generation process in one embodiment of the present invention.

[0016] Figure 7 This is a schematic diagram of the thermal control parameter generation process in one embodiment of the present invention.

[0017] Figure 8 This is a schematic diagram of the process for adjusting the background music beat or temperature gradient in one embodiment of the present invention.

[0018] Figure 9 This is another structural schematic diagram of the pillow sound-temperature dual-mode adaptive control system in one embodiment of the present invention. Detailed Implementation

[0019] The embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the described embodiments are used to illustrate the technical solutions of the present invention and are not intended to limit the scope of protection of the present invention. Where there is no conflict, the technical features in the following embodiments can be combined with each other.

[0020] refer to Figure 1 In one embodiment, a dual-mode adaptive acoustic-thermal control system for the pillow can be installed within the pillow body 1, which includes a pillow contact surface 11 for the user's head and neck to contact. The pillow body 1 is equipped with a high-sensitivity piezoelectric thin-film sensor 2, a controller 3, an acoustic output unit 4, and a temperature control unit 5. The high-sensitivity piezoelectric thin-film sensor 2 is used to collect pressure micro-motion signals from the user during pillow use, and these signals are transmitted to the controller 3. The controller 3 processes the pressure micro-motion signals to obtain breathing waveforms and user sleep posture parameters, and further generates acoustic and thermal control parameters. The acoustic output unit 4 plays or adjusts the tempo and timbre of background music according to the acoustic control parameters, and the temperature control unit 5 adjusts the temperature gradient of the pillow contact surface 11 according to the thermal control parameters.

[0021] In one embodiment, the high-sensitivity piezoelectric thin-film sensor 2 can be disposed in the pressure-bearing area, neck support area, or head and neck contact area of ​​the pillow body 1. Its output signal can reflect periodic minute pressure changes caused by breathing fluctuations, and can also reflect low-frequency pressure changes caused by turning over, lying on one's side, lying face down, or changing posture. The controller 3 can be a microcontroller, embedded processor, or other circuit unit with signal processing capabilities disposed within the pillow. The acoustic output unit 4 can include a speaker, bone conduction sound unit, or other acoustic components suitable for outputting background music in the pillow's usage scenario. The temperature regulation unit 5 can include a heating element, a cooling element, a heat exchange component, or a flexible temperature control component with zoned temperature adjustment.

[0022] In one embodiment, a high-sensitivity piezoelectric thin-film sensor 2 continuously acquires pressure micro-motion signals and sends them to a controller 3; the controller 3 obtains respiratory waveforms and user sleep posture parameters from the pressure micro-motion signals; the controller 3 performs respiratory cycle analysis and respiratory variability analysis on the respiratory waveforms to obtain respiratory rate changes, respiratory variability parameters, and physiological state indicators; the controller 3 determines acoustic-thermal coordinated regulation constraint parameters based on the physiological state indicators, respiratory rate changes, and user sleep posture parameters; the controller 3 generates acoustic regulation parameters and thermal regulation parameters based on the acoustic-thermal coordinated regulation constraint parameters, and outputs the acoustic regulation parameters to the acoustic output unit 4 and the thermal regulation parameters to the temperature regulation unit 5.

[0023] refer to Figure 2 An embodiment of the present invention provides a pillow sound and temperature dual-mode adaptive control method. This method can be executed by a controller 3, or by a processing circuit within the pillow body 1, a terminal device connected to the pillow, or an edge processing device. The method includes steps S10 to S50.

[0024] S10 uses a high-sensitivity piezoelectric thin-film sensor installed inside the pillow to continuously collect the pressure micro-motion signals of the user during pillow use, and obtains the breathing waveform and user sleep posture parameters based on the pressure micro-motion signals.

[0025] In this embodiment, the pressure micro-motion signal refers to the electrical signal output by the high-sensitivity piezoelectric thin-film sensor 2 when the user's head and neck contact the pillow body 1. This electrical signal may include a periodic component caused by micro-motions of the chest or neck during breathing transmitted to the pillow contact surface 11, and may also include a low-frequency component caused by turning over, changes in pillow pressure, or posture adjustments. The breathing waveform is a signal sequence extracted from the pressure micro-motion signal to characterize the periodic changes in the user's breathing fluctuations. The user's sleep posture parameters are state parameters obtained from the amplitude changes, low-frequency posture components, and periodic continuous changes in the pressure micro-motion signal, used to characterize supine, lateral, prone, or posture transition states. Here, "used to characterize" means that the user's sleep posture parameters reflect signal characteristics and state changes related to sleep posture, and do not require a single signal to directly and accurately measure all spatial posture quantities of the human body.

[0026] refer to Figure 3 In one embodiment, step S10 may include steps S110 to S160.

[0027] S110, after detecting that the user's head and neck are in contact with the pillow, activates a high-sensitivity piezoelectric thin-film sensor to collect pressure micro-motion signals caused by breathing fluctuations and changes in sleep posture.

[0028] In one embodiment, the system can determine whether the user's head and neck are in contact with the pillow based on whether the baseline amplitude of the pressure micro-motion signal exceeds a contact threshold. The contact threshold can be preset or calibrated based on the pillow material, sensor installation location, and user body shape. Upon detecting contact, the system enters sleep monitoring mode and continuously collects pressure micro-motion signals.

[0029] S120 performs baseline drift removal processing on the pressure micro-motion signal to obtain a baseline correction signal.

[0030] In one embodiment, baseline drift can be caused by slow deformation of the pillow material, changes in pressure from the user's head, or temperature variations. The system can remove baseline drift using methods such as moving average, low-frequency trend subtraction, bandpass filtering, or adaptive baseline estimation. The baseline correction signal is used for body motion disturbance identification, respiratory waveform extraction, and sleep posture parameter determination.

[0031] S130 identifies motion interference segments based on the amplitude abrupt change and periodic continuity of the baseline correction signal.

[0032] In this embodiment, motion interference segments refer to signal segments that disrupt the continuity of the respiratory cycle due to user movements such as turning over, raising head, adjusting pillow position, or significant changes in posture. The system can identify motion interference segments based on features such as the degree of abrupt changes in amplitude within a short period, the absence of waveform period boundaries, and the degree of abnormality in the duration of adjacent periods. Motion interference segments are not directly discarded for processing; instead, they are suppressed, removed, or have their weight reduced during respiratory waveform extraction and physiological state indicator generation.

[0033] S140 suppresses or eliminates motion interference segments to obtain continuous respiratory monitoring signals.

[0034] In one embodiment, for short-duration body motion disturbance segments, the system can use adjacent valid respiratory segments for short-term smoothing compensation; for long-duration body motion disturbance segments or segments with strong amplitude abrupt changes, the system can mark them as segments that do not participate in respiratory cycle analysis. The processed continuous respiratory monitoring signal is used for respiratory waveform extraction.

[0035] S150 extracts waveform segments that meet the periodic continuity condition from the continuous respiratory monitoring signal and uses them as respiratory waveforms.

[0036] In one embodiment, the periodic continuity condition may include that the duration of adjacent periods is within a preset physiological range, the period boundaries are continuously identifiable, and the waveform peak-valley changes conform to the respiratory fluctuation pattern. The preset physiological range can be set according to adults, children, or specific user groups, or it can be calibrated based on historical respiratory rate statistics during the initial user phase.

[0037] S160 determines user sleep posture parameters to characterize supine, lateral, prone, or posture transition states based on amplitude changes, low-frequency posture components, and periodic continuity changes in the pressure micro-motion signal.

[0038] In one embodiment, amplitude variation can reflect changes in the pressure exerted by the head and neck on the pillow contact surface 11, low-frequency posture components can reflect changes in user posture or pillow pressure center of gravity, and periodic continuity variation can reflect the impact of posture changes on the continuity of the respiratory waveform. The system can generate discrete state codes based on these features. For example, a first state code can represent a stable posture state, and a second state code can represent a posture transition state. Alternatively, different state codes can be used to represent supine, lateral, and prone positions respectively. These state codes serve as user sleep posture parameters and proceed to step S30.

[0039] In an optional embodiment, if the high-sensitivity piezoelectric thin-film sensor 2 includes multiple sensing areas, the system can also utilize the amplitude differences or low-frequency component differences between different sensing areas to help determine the user's sleep posture parameters. This approach is merely one implementation of sensor arrangement and does not require the pillow to use an array of piezoelectric thin-film sensors.

[0040] S20 performs respiratory cycle analysis and respiratory variability analysis on the respiratory waveform to determine the respiratory rate change and respiratory variability parameters, and generates physiological state indicators to characterize the user's sleep physiological state based on the respiratory rate change and respiratory variability parameters.

[0041] In this embodiment, respiratory rate variation refers to the direction and magnitude of the user's respiratory rate fluctuations within a continuous monitoring window, reflecting whether the user's spontaneous breathing rhythm is slowing down, stabilizing, or fluctuating. Respiratory variability parameters refer to the degree of difference between adjacent respiratory cycles or the degree of fluctuation in the respiratory cycle sequence, reflecting the stability of the respiratory rhythm. Physiological state indicators are state indicators generated jointly by respiratory rate variation and respiratory variability parameters, used to characterize the user's sleep physiological state and determine sleep regulation status.

[0042] refer to Figure 4 In one embodiment, step S20 may include steps S210 to S260.

[0043] S210 identifies the boundaries of adjacent respiratory cycles in the respiratory waveform.

[0044] In one embodiment, the system can identify adjacent respiratory cycle boundaries through peak detection, trough detection, zero-crossing detection, morphological template matching, or cycle boundary search. The respiratory cycle boundary can be an adjacent inspiratory start point, an adjacent expiratory start point, or other waveform positions that stably reflect the respiratory cycle.

[0045] S220, determine the respiratory cycle sequence based on the time interval between adjacent respiratory cycle boundaries.

[0046] In one embodiment, the respiratory cycle sequence can be represented as T = {T_1, T_2, ..., T_n}, where T_i represents the duration of the i-th respiratory cycle, and n represents the number of respiratory cycles identified within the continuous monitoring window. The respiratory cycle sequence is used to calculate the respiratory rate sequence and respiratory variability parameters.

[0047] S230, determine the respiratory rate sequence based on the respiratory cycle sequence, and determine the respiratory rate change based on the direction and amplitude of the rise and fall of the respiratory rate sequence within the continuous monitoring window.

[0048] In one embodiment, the respiratory rate sequence can be represented as R = {R_1, R_2, ..., R_n}. When the respiratory cycle T_i is in seconds, the respiratory rate R_i can be determined by the following formula: R_i=60 / T_i Where T_i represents the duration of the i-th respiratory cycle in seconds, and R_i represents the corresponding number of breaths per minute. The system can determine the change in respiratory rate based on the average trend of the respiratory rate sequence within a continuous monitoring window, the difference between the first and last breaths, or the statistical results of adjacent differences. For example, when the overall respiratory rate decreases within the continuous monitoring window and the decrease is within a preset range, it can be determined that the user's spontaneous breathing rhythm is slowing down; when the change in respiratory rate is small and the respiratory cycles are continuous, it can be determined that the user's spontaneous breathing rhythm is stable; when the change in respiratory rate is large or adjacent respiratory rates fluctuate frequently, it can be determined that the user's spontaneous breathing rhythm is fluctuating.

[0049] S240, determines respiratory variability parameters based on the degree of difference between adjacent respiratory cycles in the respiratory cycle sequence.

[0050] In one embodiment, the respiratory variability parameter can be determined based on the mean, variance, standard deviation, or coefficient of variation of the differences between adjacent respiratory cycles. For example, the respiratory variability parameter V can be calculated using the following formula: V=avg(abs(T_i-T_(i-1))) In this formula, V represents the respiratory variability parameter, T_i represents the duration of the i-th respiratory cycle, T_(i-1) represents the duration of the (i-1)-th respiratory cycle, avg() represents averaging the differences between all adjacent cycles within the continuous monitoring window, and abs() represents taking the absolute value. In this formula, i starts from 2. A larger V indicates a greater difference between adjacent respiratory cycles and a more pronounced fluctuation in respiratory rhythm. V is used to generate physiological state indicators and also to determine regulatory limiting parameters.

[0051] S250 generates physiological state indicators based on changes in respiratory rate and respiratory variability parameters.

[0052] In one embodiment, physiological state indicators can be obtained by combining respiratory rate change status and respiratory variability parameters. For example, when respiratory rate change indicates a gradual decrease in respiratory rate and respiratory variability parameters are at a low to medium level, physiological state indicators representing sleep transition can be generated; when respiratory rate change is stable and respiratory variability parameters are low, physiological state indicators representing stable sleep can be generated; when respiratory rate change is fluctuating or respiratory variability parameters are high, physiological state indicators representing sleep disturbances can be generated.

[0053] In an optional embodiment, the system can generate a physiological state index Q using a weighted scoring method: Q = w_rR_state + w_vV_state Where Q represents a physiological state index, R_state represents the respiratory rhythm state quantity mapped from changes in respiratory rate, V_state represents the respiratory steady state quantity mapped from respiratory variability parameters, and w_r and w_v are preset weights or calibrable weights, and w_r and w_v are not required to be normalized to 1. Q is used to determine the sleep regulation state in step S30. This formula is only one implementation example; the system can also use threshold rules, state tables, or piecewise functions to generate physiological state indices.

[0054] S260, when there are body movement interference segments in the respiratory waveform, reduce the contribution weight of the corresponding respiratory cycle to physiological state indicators within the time range corresponding to the body movement interference segments.

[0055] In one embodiment, when a respiratory cycle is located within or overlaps with a body movement interference segment, the system can reduce the weight of the respiratory rate and respiratory variability parameters corresponding to that respiratory cycle in the physiological state indicators. This can reduce the interference of posture changes or body movements on the judgment of sleep regulation state.

[0056] S30 determines the sleep regulation state based on physiological state indicators, and determines the acoustic-thermal coordinated regulation constraint parameters under the sleep regulation state based on changes in respiratory rate and user sleep posture parameters.

[0057] In this embodiment, the sleep regulation state is a regulation state mapped from physiological state indicators, which may include the sleep transition state, stable sleep state, and sleep disturbance state. The sound-temperature coordinated regulation constraint parameters are a set of parameters used to limit the generation range of acoustic and thermal regulation parameters, including rhythm regulation window constraints, temperature gradient change window constraints, and regulation amplitude constraints. The rhythm regulation window constraint is used to limit the time window and change relationship of background music beat adjustment; the temperature gradient change window constraint is used to limit the time range, regional range, or rate of change of the temperature gradient on the pillow contact surface; and the regulation amplitude constraint is used to limit the change amplitude of sound and temperature stimuli.

[0058] refer to Figure 5 In one embodiment, step S30 may include steps S310 to S370.

[0059] S310 determines whether the user is in a sleep transition state, a stable sleep state, or a sleep disturbance state based on physiological state indicators, and uses this as the sleep regulation state.

[0060] In one embodiment, when physiological state indicators show a gradual decrease in respiratory rate and no significant increase in respiratory variability parameters, the sleep regulation state can be identified as a sleep transition state. When physiological state indicators show a stable respiratory rate and low respiratory variability parameters, the sleep regulation state can be identified as a stable sleep state. When physiological state indicators show fluctuations in respiratory rate or an increase in respiratory variability parameters, the sleep regulation state can be identified as a sleep disturbance state. Sudden changes in the respiratory cycle can be reflected through changes in respiratory rate or respiratory variability parameters, rather than being a direct output of physiological state indicators alone.

[0061] S320 determines whether the user's spontaneous breathing rhythm is slowing down, stable, or fluctuating based on changes in respiratory rate.

[0062] In one embodiment, the slowing state indicates that the respiratory rate is decreasing within the continuous monitoring window, the stable state indicates that the change in respiratory rate is within a preset stable range, and the fluctuating state indicates that the change in respiratory rate exceeds a preset fluctuation range or that there is a large difference between adjacent cycles.

[0063] S330 determines the stable posture state or posture transition state based on the user's sleep posture parameters.

[0064] In one embodiment, a stable posture state can be identified when the user's sleep posture parameters show small changes in low-frequency posture components, no continuous abrupt changes in the amplitude of the pressure micro-motion signal, and a continuous respiratory waveform period. A posture transition state can be identified when the user's sleep posture parameters show significant changes in low-frequency posture components, abrupt changes in the amplitude of the pressure micro-motion signal, or disruption of the continuity of the respiratory waveform period.

[0065] S340, under the condition that the sleep regulation state is the sleep transition state, the user's spontaneous breathing rhythm is the slowing state, and the user's sleep posture parameters represent the posture stability state, determine the first acoustic constraint parameter and the first thermal constraint parameter.

[0066] In this embodiment, the first acoustic constraint parameter is used to constrain the background music beat to gradually decrease as the breathing rate decreases. The first thermal constraint parameter is used to constrain the temperature gradient of the pillow contact surface to gradually change across multiple breathing cycles. This allows the sound and temperature stimuli to accompany the user's voluntary breathing rate changes in a more gradual manner, rather than abruptly changing at a single moment.

[0067] S350, under the condition that the sleep regulation state is a stable sleep state, the user's spontaneous breathing rhythm is a stable state, and the user's sleep posture parameters represent a stable posture state, the second acoustic constraint parameter and the second thermal constraint parameter are determined.

[0068] In this embodiment, the second acoustic constraint parameter is used to limit fluctuations in the background music beat, and the second thermal constraint parameter is used to maintain a smooth change in the temperature gradient of the pillow contact surface. This reduces additional stimulation changes when the user is in a relatively stable sleep state, and reduces sleep disturbances caused by abrupt changes in beat or rapid changes in temperature gradient.

[0069] S360 determines the control limiting parameters for limiting the amplitude of acoustic and thermal stimulation when the sleep regulation state is a sleep disturbance state, the user's spontaneous breathing rhythm is a fluctuating state, or the user's sleep posture parameters represent the posture transition state.

[0070] In one embodiment, the control parameters may include an upper limit for acoustic control amplitude, an upper limit for the rate of change of temperature gradient, and a window delay duration. The upper limit for acoustic control amplitude is used to limit the amplitude of background music beat adjustment and timbre change, the upper limit for the rate of change of temperature gradient is used to limit the rate of change of temperature gradient on the pillow contact surface, and the window delay duration is used to delay the rhythm control window and the temperature gradient change window.

[0071] S370, wherein at least one of the first acoustic constraint parameter, the first thermal constraint parameter, the second acoustic constraint parameter, the second thermal constraint parameter, or the control limitation parameter is used as the acoustic-temperature coordinated control constraint parameter.

[0072] In one embodiment, the acoustic-thermal coordinated control constraint parameters can be redefined based on changes in sleep regulation state, respiratory rate, and user sleep posture parameters. These parameters are not directly output to the acoustic output unit 4 or the temperature regulation unit 5, but rather used to limit the generation range of the acoustic and thermal control parameters in step S40.

[0073] In one embodiment, determining the control limit parameter may include the following steps.

[0074] First, the respiratory rhythm fluctuation is determined based on the amplitude of changes in respiratory rate and respiratory variability parameters. The respiratory rhythm fluctuation is used to characterize the degree of instability of spontaneous respiratory rhythm within the current monitoring window.

[0075] Secondly, the duration of the posture transition is determined based on the user's sleep posture parameters, and the posture difference is determined based on the difference in the values ​​of the user's sleep posture parameters before and after the posture transition. The duration of the posture transition can be determined based on the length of time that the low-frequency posture components continuously change, and the posture difference can be determined based on the amplitude distribution, low-frequency components, or status code differences of the pressure micro-motion signals before and after the posture transition.

[0076] Next, if the amount of respiratory rhythm fluctuation meets the first constraint, or if the duration of posture transition and the amount of posture difference meet the second constraint, regulation constraint parameters are generated. The first and second constraints can be preset threshold conditions, or conditions calibrated based on the user's historical sleep records.

[0077] Finally, the upper limit of acoustic modulation amplitude is used to constrain the amplitude of background music beat adjustment and timbre change, the upper limit of temperature gradient change rate is used to constrain the rate of temperature gradient change on the pillow contact surface, and the window delay duration is used to delay the rhythm modulation window and the temperature gradient change window. Therefore, respiratory rhythm fluctuations and posture changes do not directly trigger abrupt acoustic-thermal regulation, but are first transformed into regulatory constraint parameters, which then affect the generation of acoustic and thermal modulation parameters.

[0078] S40 generates acoustic control parameters and thermal control parameters based on acoustic-thermal coordinated control constraint parameters.

[0079] refer to Figure 6 In one embodiment, step S40 may include an acoustic control parameter generation process and a thermal control parameter generation process.

[0080] In one embodiment, the acoustic control parameter generation process may include steps S410 to S450.

[0081] S410 determines the rhythm adjustment relationship between background music beats and changes in breathing frequency based on the rhythm control window constraint in the sound-temperature coordinated control constraint parameters.

[0082] In this embodiment, the beat adjustment relationship is used to define the direction and amplitude of the background music beat adjustment as the breathing frequency changes. For example, when the breathing frequency change indicates a decrease in breathing frequency, the background music beat can be reduced or the beat interval can be lengthened accordingly; when the breathing frequency is stable, the background music beat can be kept within a relatively stable range.

[0083] S420 determines the adjustment range of background music beat and the range of timbre change based on the control amplitude constraint in the sound temperature coordinated control constraint parameters.

[0084] In one embodiment, the timbre variation range may include the variation range of high-frequency timbre components, the variation range of timbre brightness, or the intensity of timbre switching. Adjustment range constraints can limit the timbre variation range, preventing sudden timbre changes from interfering with sleep.

[0085] S430, when the respiratory rate change indicates a decrease in respiratory rate and the sleep regulation state is a transitional state to sleep, sets the beat regulation parameter to decrease the background music beat or increase the beat interval as the respiratory rate decreases.

[0086] S440, when the respiratory rate change indicates that the respiratory rate is in a stable state and the sleep regulation state is a stable sleep state, sets the beat regulation parameter to limit the amplitude of beat change and sets the timbre regulation parameter to limit the amplitude of change of high-frequency timbre components.

[0087] S450, under the constraint of the control amplitude, delays the timing of the beat adjustment or reduces the amplitude of the timbre change, and uses the beat adjustment relationship, beat control parameters and timbre control parameters as acoustic control parameters.

[0088] In one embodiment, the process of generating thermal control parameters may include steps S460 to S490.

[0089] S460 determines the direction and rate of temperature change on the pillow contact surface based on the temperature gradient change window constraint in the acoustic-thermal coordinated control constraint parameters.

[0090] In this embodiment, the direction of temperature change can be a heating direction, a cooling direction, or a maintenance direction. The rate of temperature change is used to limit the amplitude of temperature change on the pillow contact surface 11 per unit time. The direction and rate of temperature change can be jointly determined based on sleep regulation state, respiratory rate changes, and temperature gradient change window constraints.

[0091] S470 determines the target temperature gradient range of the pillow contact surface based on the control amplitude constraint in the sound-temperature coordinated control constraint parameters.

[0092] In this embodiment, the target temperature gradient range is used to define the temperature difference range between different adjustable temperature areas of the pillow contact surface 11. This range can be set according to the user's sleep state, respiratory rhythm stability, postural stability, and the thermal conductivity characteristics of the pillow material.

[0093] S480, when the sleep regulation state is a transitional state to sleep and the change in respiratory rate indicates a decrease in respiratory rate, limits the rate of temperature change to a first thermal regulation rate that changes gradually across multiple respiratory cycles; when the sleep regulation state is a stable sleep state and the change in respiratory rate indicates that the respiratory rate is in a stable state, limits the rate of temperature change to a second thermal regulation rate that is less than the first thermal regulation rate.

[0094] In one embodiment, the first and second thermal regulation rates can be preset rates or calibrated based on the current temperature of the pillow contact surface 11, the target temperature gradient range, and the user's historical adaptation. Since thermal stimulation has a lag effect on the user's sensation, limiting the temperature change rate to a gradual change across multiple respiratory cycles can reduce interference caused by sudden temperature changes.

[0095] S490, under the constraint of the control amplitude characterization limiting the control amplitude, pauses the increase of temperature gradient difference or decreases the rate of change of temperature gradient, and generates thermal control parameters based on the direction of temperature change, the rate of temperature change and the target temperature gradient range.

[0096] In one embodiment, generating thermal control parameters may further include: dividing the pillow contact surface 11 into multiple adjustable temperature zones; determining the adjustable temperature zones involved in temperature regulation based on temperature gradient change window constraints; determining the temperature difference between the adjustable temperature zones involved in temperature regulation according to the target temperature gradient range; reducing the temperature difference between adjacent adjustable temperature zones when the respiratory rate change is in a stable state and the user's sleep posture parameters represent a stable posture state; and limiting the rate of temperature change of the adjustable temperature zones involved in temperature regulation and increasing the time smoothness of temperature gradient changes when the respiratory rate change is in a fluctuating state or the user's sleep posture parameters represent a posture transition state.

[0097] In an optional embodiment, the system can set a target temperature value for each adjustable temperature zone and limit the temperature difference between adjacent adjustable temperature zones based on the target temperature gradient range. If the temperature adjustment unit 5 includes m adjustable temperature zones, the target temperature sequence can be represented as Temp = {Temp_1, Temp_2, ..., Temp_m}, where Temp_j represents the target temperature of the j-th adjustable temperature zone. The system can limit the temperature difference between adjacent zones as follows: abs(Temp_j-Temp_(j-1))<=DeltaTemp_limit Where Temp_j and Temp_(j-1) represent the target temperatures of two adjacent adjustable temperature zones, DeltaTemp_limit represents the maximum allowable temperature difference, and abs() represents taking the absolute value. This limit is used to generate temperature gradient control parameters, allowing the temperature gradient to transition smoothly on the pillow contact surface 11. DeltaTemp_limit can be a uniform limit or can be set according to different zones. When different zone-specific settings are used, each pair of adjacent zones has a corresponding upper limit for the temperature difference.

[0098] In another optional embodiment, the system can jointly limit the acoustic and thermal modulation amplitudes based on the amount of respiratory rhythm fluctuations. For example, when the respiratory rhythm fluctuations are large, the background music beat adjustment amplitude and the temperature gradient change rate are simultaneously reduced; when the posture transition duration is long, the rhythm modulation window and the temperature gradient change window are delayed. This implementation allows sound and temperature stimuli to be coordinated and constrained using the same modulation and constraint parameters under abnormal fluctuation scenarios, avoiding stimulation superposition caused by separate adjustments of the two.

[0099] S50 adjusts the tempo and timbre of the background music and the temperature gradient of the pillow contact surface according to the acoustic and thermal control parameters, so that the acoustic and thermal stimuli are gradually adjusted according to the user's spontaneous breathing frequency in a stable posture state, and the adjustment range of acoustic and thermal stimuli is limited in the posture transition state.

[0100] In one embodiment, step S50 may include steps S510 to S550.

[0101] S510 adjusts the background music tempo within the corresponding rhythm control window based on the tempo control parameters in the acoustic control parameters.

[0102] In one embodiment, the rhythm control window refers to a time window during which the background music beat can be adjusted, and this window is defined by sound-temperature co-regulation constraint parameters. The beat control parameters may include a target beat value, a beat change direction, a beat change rate, and a beat adjustment time.

[0103] The S520 adjusts the background music timbre within the timbre variation range limited by the control amplitude, based on the timbre control parameters in the acoustic control parameters.

[0104] In one embodiment, the timbre control parameters can be used to limit the variation range of high-frequency timbre components, reduce abrupt changes in timbre, or control the switching intensity between different background music timbres. The background music can be instrumental music, natural sound background music, or sleep-inducing music with a stable rhythmic structure.

[0105] S530 adjusts the temperature gradient of the pillow contact surface within the corresponding temperature gradient change window according to the temperature gradient control parameter in the thermal control parameters.

[0106] In one embodiment, the temperature gradient control parameters may include an adjustable temperature region involved in temperature regulation, a target temperature for the region, a direction of temperature change, a rate of temperature change, and a limit on the temperature difference between adjacent regions. The temperature gradient change window is used to define the time range within which the temperature gradient adjustment occurs.

[0107] S540, when the rhythm control window and the temperature gradient change window overlap in time, reduces the background music beat adjustment amplitude or temperature gradient adjustment rate according to the sound-temperature coordinated control constraint parameters.

[0108] In one embodiment, when the rhythm adjustment window and the temperature gradient change window overlap, the system can avoid generating large sound and temperature changes simultaneously within the same time period. For example, if the beat adjustment amplitude is large, the temperature gradient adjustment rate is reduced; if the temperature gradient change amplitude is large, the beat adjustment amplitude is reduced or the beat adjustment time is delayed.

[0109] The S550 continues to perform gradual adjustments to the background music and pillow contact surface according to the reduced background music beat adjustment range or temperature gradient adjustment rate.

[0110] In one embodiment, progressive modulation refers to the controlled adjustment of acoustic and thermal stimuli according to changes in respiratory rate and sleep posture, rather than outputting them in a transient, abrupt manner. Progressive modulation reduces the interference of acoustic and thermal stimuli on the user's sleep.

[0111] refer to Figure 7 In one embodiment, the method may further include step S60.

[0112] S60, after adjusting according to the acoustic and thermal control parameters, collects the user's pressure micro-motion signal again, and obtains the current respiratory waveform and the current user's sleep posture parameters based on the re-collected pressure micro-motion signal; performs respiratory cycle analysis and respiratory variability analysis on the current respiratory waveform to determine the current respiratory rate change and the current respiratory variability parameter, and generates the current physiological state index based on the current respiratory rate change and the current respiratory variability parameter; and re-determines the acoustic-thermal coordinated control constraint parameters or generates new acoustic and thermal control parameters based on the current respiratory rate change, the current respiratory variability parameter, and the current user's sleep posture parameters.

[0113] In one embodiment, when the current respiratory rate change is stable, the current respiratory variability parameter decreases, and the current user sleep posture parameter indicates a stable posture, the system can reduce the control amplitude constraint in the acoustic-thermal coordinated regulation constraint parameter based on the current physiological state index, and generate new acoustic regulation parameters and new thermal regulation parameters based on the reduced control amplitude constraint. When the current respiratory rate change is fluctuating, the current respiratory variability parameter increases, or the current user sleep posture parameter indicates a posture transition state, the system can redetermine the acoustic-thermal coordinated regulation constraint parameter based on the current physiological state index, the current respiratory rate change, and the current user sleep posture parameter, and generate new acoustic regulation parameters and new thermal regulation parameters based on the redetermined acoustic-thermal coordinated regulation constraint parameter. The system adjusts the beat, timbre of the background music, and the temperature gradient of the pillow contact surface 11 according to the new acoustic regulation parameter and the new thermal regulation parameter.

[0114] In one embodiment, new acoustic and thermal control parameters are used to replace the acoustic and thermal control parameters used in the previous time period. Redetermining the acoustic-temperature coordinated control constraint parameters does not require changing the hardware structure; instead, the rhythm control window constraint, temperature gradient change window constraint, and control amplitude constraint are recalculated within the controller 3, and new control parameters are generated accordingly.

[0115] Using the technical solution of this application, the high-sensitivity piezoelectric thin film sensor 2 can synchronously collect pressure micro-motion signals during pillow use, and obtain respiratory waveforms and user sleep posture parameters from the same pressure micro-motion signal, so that respiratory fluctuations, body movement changes and posture transitions can be continuously identified under the same data source; after obtaining respiratory frequency changes and respiratory variability parameters based on the respiratory waveform, the system can generate physiological state indicators to characterize the user's sleep physiological state, so that the slowing, stabilizing or fluctuating state of the user's autonomous breathing rhythm can be transformed into sleep regulation state and corresponding regulation constraints.

[0116] Furthermore, the acoustic-thermal coordinated regulation constraint parameters transform sleep regulation state, respiratory rate changes, and user sleep posture parameters into rhythm regulation window constraints, temperature gradient change window constraints, and regulation amplitude constraints, thus subjecting acoustic and thermal regulation parameters to common restrictions during the generation stage. This constraint relationship ensures that the background music beat, timbre, and pillow contact surface temperature gradient are not isolated changes, but are gradually adjusted under the combined constraints of the user's spontaneous respiratory rate changes and sleep posture state.

[0117] In addition, when the posture is stable and the breathing rate is slow or stable, the system can reduce the additional interference of sound and temperature stimulation on sleep by gradually adjusting the background music beat, timbre and temperature gradient of the pillow contact surface. In scenarios of posture change, breathing rhythm fluctuation or sleep disturbance, the system can suppress sudden changes in sound and temperature stimulation caused by turning over, body movement or abnormal breathing waveform by adjusting the limiting parameters to limit the adjustment range of background music beat, timbre change range and temperature gradient change rate.

[0118] By re-collecting pressure micro-motion signals and generating new acoustic and thermal control parameters, the system can adjust the acoustic-thermal coordinated control constraints according to the user's current breathing changes and posture, avoiding the continuous use of acoustic or thermal control parameters that do not match the current sleep state. This solves the problem that sound and temperature stimulation in existing pillow-assisted sleep control systems are difficult to coordinate with changes in the user's spontaneous breathing frequency and sleep posture.

[0119] Furthermore, by using the amplitude changes, low-frequency posture components, and periodic continuity changes in the pressure micro-motion signal to determine the user's sleep posture parameters, and introducing a distinction between the stable posture state and the posture transition state in the sleep regulation state, the system can promptly identify changes in regulation conditions when the user changes posture such as turning over, lying on their side, or lying prone. As a result, the acoustic and thermal regulation parameters no longer use fixed outputs, but are adjusted according to the posture state, thereby reducing regulation mismatch caused by posture changes.

[0120] Furthermore, by statistically analyzing the differences between adjacent cycles in the respiratory cycle sequence, respiratory variability parameters are generated and used together with respiratory rate changes to generate physiological state indicators. This avoids the fluctuation errors caused by making control judgments based solely on a single respiratory rate, making the determination of sleep regulation state more reflective of the stability of respiratory rhythm. When there are large fluctuations in respiratory rhythm, the system can correspondingly increase the intensity of regulation restriction, thereby reducing the abrupt output of acoustic and thermal stimuli.

[0121] Furthermore, by setting the control and limiting parameters to the upper limit of acoustic control amplitude, the upper limit of temperature gradient change rate, and the window delay time, the system can simultaneously limit the change amplitude of background music beat and timbre, as well as the change rate of pillow contact surface temperature gradient, when breathing rhythm fluctuates or posture changes. This allows the dual-mode sound and temperature adjustment to maintain a relatively stable output under abnormal fluctuation scenarios, avoiding simultaneous drastic changes in sound and temperature stimuli that could affect sleep continuity.

[0122] Furthermore, by dividing the pillow contact surface into multiple adjustable temperature zones and determining the adjustable temperature zones involved in temperature regulation based on the temperature gradient change window constraint, the system can transform temperature regulation from single-point output to regional gradient output, keeping the temperature difference between adjacent zones within a controllable range. This allows thermal stimulation to form a smooth transition on the contact surface, reducing the interference caused by sudden changes in local temperature on the user's sensation.

[0123] refer to Figure 9 An embodiment of the present invention also provides a pillow sound-temperature dual-mode adaptive control system. This system may include a breathing posture acquisition module 100, a physiological state analysis module 200, a constraint parameter determination module 300, a control parameter generation module 400, a control execution module 500, and an update module 600. Each module may be located within the controller 3, or distributed across the pillow body 1, a terminal device, or an edge processing device. Each module can be implemented through software, hardware circuitry, or a combination of both.

[0124] The breathing posture acquisition module 100 continuously acquires pressure micro-motion signals from the user during pillow use using a high-sensitivity piezoelectric thin-film sensor 2 installed inside the pillow, and obtains the breathing waveform and user sleep posture parameters based on the pressure micro-motion signals. The breathing posture acquisition module 100 receives the raw signal output by the high-sensitivity piezoelectric thin-film sensor 2, performs baseline correction, body movement interference identification, and periodic continuity judgment on the raw signal, and outputs the breathing waveform and user sleep posture parameters.

[0125] The physiological state analysis module 200 is used to perform respiratory cycle analysis and respiratory variability analysis on the respiratory waveform, determine the changes in respiratory rate and respiratory variability parameters, and generate physiological state indicators to characterize the user's sleep physiological state based on the changes in respiratory rate and respiratory variability parameters. The input of the physiological state analysis module 200 is the respiratory waveform, and its output is the changes in respiratory rate, respiratory variability parameters, and physiological state indicators.

[0126] The constraint parameter determination module 300 is used to determine the sleep regulation state based on physiological state indicators, and to determine the acoustic-thermal coordinated regulation constraint parameters under the sleep regulation state based on respiratory rate changes and user sleep posture parameters. The acoustic-thermal coordinated regulation constraint parameters include rhythm regulation window constraints, temperature gradient change window constraints, and regulation amplitude constraints, used to limit the generation range of acoustic and thermal regulation parameters. The constraint parameter determination module 300 can generate different constraint parameters according to different sleep regulation states, respiratory rate change states, and postural stability states.

[0127] The control parameter generation module 400 is used to generate acoustic control parameters and thermal control parameters based on the acoustic-temperature coordinated control constraint parameters. The acoustic control parameters include rhythm control parameters and timbre control parameters for background music, while the thermal control parameters include temperature gradient control parameters for the pillow contact surface 11. The control parameter generation module 400 converts the rhythm control window constraint, temperature gradient change window constraint, and control amplitude constraint output by the constraint parameter determination module 300 into specific control parameters that can be executed by the acoustic output unit 4 and the temperature adjustment unit 5.

[0128] The control execution module 500 is used to adjust the rhythm and timbre of the background music, as well as the temperature gradient of the pillow contact surface 11, according to acoustic and thermal control parameters, respectively. This allows the acoustic and thermal stimuli to be gradually adjusted according to the user's spontaneous breathing frequency in a stable posture state, and to limit the amplitude of acoustic and thermal stimuli adjustment during posture transitions. The control execution module 500 can output rhythm and timbre control signals to the acoustic output unit 4 and temperature gradient control signals to the temperature adjustment unit 5.

[0129] The update module 600 is used to re-acquire the user's pressure micro-motion signal after adjustment. Based on the re-acquired pressure micro-motion signal, it obtains the current respiratory waveform and the current user's sleep posture parameters. It performs respiratory cycle analysis and respiratory variability analysis on the current respiratory waveform to determine the current respiratory rate change and current respiratory variability parameters. Based on the current respiratory rate change, current respiratory variability parameters, and current user sleep posture parameters, it generates new acoustic control parameters and new thermal control parameters. The update module 600 can send the new acoustic control parameters to the control execution module 500 or the acoustic output unit 4, and the new thermal control parameters to the control execution module 500 or the temperature adjustment unit 5.

[0130] In one embodiment, the breathing posture acquisition module 100, physiological state analysis module 200, constraint parameter determination module 300, regulation parameter generation module 400, regulation execution module 500, and update module 600 can be integrated into the same controller 3. In another embodiment, some signal processing and parameter generation processes can be performed by a terminal device or edge processing device that is communicatively connected to the pillow, while the pillow body 1 is responsible for pressure micro-motion signal acquisition, background music output, and temperature gradient adjustment. Regardless of the deployment method, the data relationship between the modules remains the same: pressure micro-motion signal input, breathing and posture state extraction, acoustic-thermal coordinated regulation constraint parameter determination, acoustic and thermal regulation parameter generation, and regulation execution.

[0131] The sensor arrangement, sampling frequency, filtering method, monitoring window length, threshold conditions, weight settings, acoustic output form, temperature adjustment structure, number of adjustable temperature areas, background music type, and parameter update cycle in the above embodiments can all be selected or adjusted according to the actual pillow structure and usage scenario; these examples are used to illustrate the possible implementations of the present invention and should not be construed as limiting the scope of protection of the present invention.

Claims

1. A pillow sound-temperature dual-mode adaptive control method, characterized in that, include: A high-sensitivity piezoelectric thin-film sensor installed inside the pillow continuously collects the pressure micro-motion signals of the user during pillow use, and obtains the breathing waveform and user sleep posture parameters based on the pressure micro-motion signals; The respiratory waveform is subjected to respiratory cycle analysis and respiratory variability analysis to determine the respiratory rate change and respiratory variability parameters, and physiological state indicators are generated based on the respiratory rate change and respiratory variability parameters to characterize the user's sleep physiological state. The sleep regulation state is determined based on the physiological state indicators, and the acoustic-thermal coordinated regulation constraint parameters under the sleep regulation state are determined based on the respiratory rate change and the user sleep posture parameters. The acoustic-thermal coordinated regulation constraint parameters include rhythm regulation window constraint, temperature gradient change window constraint, and regulation amplitude constraint. The acoustic-thermal coordinated regulation constraint parameters are used to limit the generation range of the acoustic regulation parameters and the thermal regulation parameters. Based on the sound-temperature coordinated control constraint parameters, acoustic control parameters and thermal control parameters are generated respectively. The acoustic control parameters include the rhythm control parameters and timbre control parameters of the background music, and the thermal control parameters include the temperature gradient control parameters of the pillow contact surface. The rhythm and timbre of the background music, as well as the temperature gradient of the pillow contact surface, are adjusted according to the acoustic and thermal control parameters, respectively, so that the acoustic and thermal stimuli are gradually adjusted according to the user's spontaneous breathing frequency in a stable posture state, and the adjustment range of acoustic and thermal stimuli is limited in a posture transition state.

2. The method according to claim 1, characterized in that, Also includes: After adjusting according to the acoustic control parameters and the thermal control parameters, the user's pressure micro-motion signal is collected again, and the current breathing waveform and the current user's sleep posture parameters are obtained based on the collected pressure micro-motion signal. Perform respiratory cycle analysis and respiratory variability analysis on the current respiratory waveform to determine the current respiratory rate change and current respiratory variability parameters, and generate current physiological state indicators based on the current respiratory rate change and current respiratory variability parameters; When the current respiratory rate change is in a stable state, the current respiratory variability parameter decreases, and the current user sleep posture parameter represents a stable posture state, the control amplitude constraint in the acoustic-thermal coordinated control constraint parameter is reduced based on the current physiological state index, and new acoustic control parameters and new thermal control parameters are generated based on the reduced control amplitude constraint. When the current respiratory rate change is fluctuating, the current respiratory variability parameter increases, or the current user sleep posture parameter represents the posture transition state, the acoustic-thermal coordinated regulation constraint parameters are re-determined based on the current physiological state index, the current respiratory rate change, and the current user sleep posture parameter, and new acoustic regulation parameters and new thermal regulation parameters are generated based on the re-determined acoustic-thermal coordinated regulation constraint parameters. According to the new acoustic control parameters and the new thermal control parameters, the tempo, timbre of the background music and the temperature gradient of the pillow contact surface are adjusted respectively.

3. The method according to claim 1, characterized in that, The step involves performing respiratory cycle analysis and respiratory variability analysis on the respiratory waveform to determine respiratory rate changes and respiratory variability parameters, and generating physiological state indicators to characterize the user's sleep physiological state based on the respiratory rate changes and respiratory variability parameters, including: Identify the boundaries of adjacent respiratory cycles in the respiratory waveform; The respiratory cycle sequence is determined based on the time interval between adjacent respiratory cycle boundaries; The respiratory rate sequence is determined based on the respiratory cycle sequence, and the respiratory rate change is determined based on the direction and magnitude of the rise and fall of the respiratory rate sequence within the continuous monitoring window. The respiratory variability parameter is determined based on the degree of difference between adjacent respiratory cycles in the respiratory cycle sequence; The physiological state indicators are generated based on the changes in respiratory rate and the respiratory variability parameters. In the presence of body movement interference segments in the respiratory waveform, the contribution weight of the corresponding respiratory cycle to the physiological state indicators is reduced within the time range corresponding to the body movement interference segments.

4. The method according to claim 1, characterized in that, The step of determining the sleep regulation state based on the physiological state indicators, and determining the sound-temperature coordinated regulation constraint parameters under the sleep regulation state based on the respiratory rate change and the user's sleep posture parameters, includes: The sleep regulation state is determined based on the physiological state indicators, indicating whether the user is in a sleep transition state, a stable sleep state, or a sleep disturbance state. The user's spontaneous breathing rhythm is determined to be in a slowing, stable, or fluctuating state based on the changes in the breathing rate. Determine the stable posture state or posture transition state based on the user's sleep posture parameters; When the sleep regulation state is a sleep transition state, the user's spontaneous breathing rhythm is a slowing state, and the user's sleep posture parameters represent a stable posture state, a first acoustic constraint parameter is determined to constrain the background music beat from gradually decreasing as the breathing rate decreases, and a first thermal constraint parameter is determined to constrain the pillow contact surface temperature gradient from gradually changing across multiple breathing cycles. When the sleep regulation state is a stable sleep state, the user's spontaneous breathing rhythm is a steady state, and the user's sleep posture parameters represent a stable posture state, a second acoustic constraint parameter is determined to limit the fluctuation of the background music beat, and a second thermal constraint parameter is determined to maintain a smooth change in the temperature gradient of the pillow contact surface. When the sleep regulation state is a sleep disturbance state, the user's spontaneous breathing rhythm is a fluctuating state, or the user's sleep posture parameters represent a posture transition state, determine the regulation limiting parameters for limiting the regulation amplitude of acoustic and thermal stimuli. At least one of the first acoustic constraint parameter, the first thermal constraint parameter, the second acoustic constraint parameter, the second thermal constraint parameter, or the control limiting parameter is used as the acoustic-temperature coordinated control constraint parameter.

5. The method according to claim 4, characterized in that, The determination of the modulation limiting parameters used to limit the modulation amplitude of acoustic and thermal stimuli includes: The amount of respiratory rhythm fluctuation is determined based on the magnitude of the change in respiratory rate and the respiratory variability parameter. The duration of posture transition is determined based on the user's sleep posture parameters, and the amount of posture difference is determined based on the difference in the values ​​of the user's sleep posture parameters before and after the posture transition. If the amount of respiratory rhythm fluctuation meets the first limiting condition, or if the duration of posture transition and the amount of posture difference meet the second limiting condition, a control limiting parameter is generated. The control limiting parameter includes an upper limit for acoustic control amplitude, an upper limit for temperature gradient change rate, and a window delay duration. The upper limit of the acoustic modulation amplitude is used to constrain the amplitude of background music beat adjustment and timbre change, the upper limit of the temperature gradient change rate is used to constrain the temperature gradient change rate of the pillow contact surface, and the window delay duration is used to delay the rhythm modulation window and the temperature gradient change window.

6. The method according to claim 4, characterized in that, The generation of acoustic control parameters and thermal control parameters based on the acoustic-thermal coordinated control constraint parameters includes: Based on the rhythm control window constraint in the sound-temperature coordinated control constraint parameters, the rhythm adjustment relationship between the background music beat and the change in breathing frequency is determined. Based on the control amplitude constraint in the sound-temperature coordinated control constraint parameters, determine the adjustment amplitude of the background music beat and the change amplitude of the timbre. When the change in respiratory rate indicates a decrease in respiratory rate and the sleep regulation state is a transitional state to sleep, the beat regulation parameter is set to decrease the background music beat or increase the beat interval as the respiratory rate decreases. When the respiratory rate change indicates that the respiratory rate is in a stable state and the sleep regulation state is a stable sleep state, the beat regulation parameter is set to limit the amplitude of beat abrupt changes, and the timbre regulation parameter is set to limit the amplitude of changes in high-frequency timbre components. When the control amplitude constraint characterizes the limitation of the control amplitude, the timing of the beat adjustment is delayed or the amplitude of the timbre change is reduced. The beat adjustment relationship, the beat control parameters, and the timbre control parameters are used as the acoustic control parameters.

7. The method according to claim 4, characterized in that, The generation of acoustic control parameters and thermal control parameters based on the acoustic-thermal coordinated control constraint parameters includes: Based on the temperature gradient change window constraint in the sound-temperature coordinated regulation constraint parameters, the direction and rate of temperature change of the pillow contact surface are determined. The target temperature gradient range of the pillow contact surface is determined based on the control amplitude constraint in the sound-temperature coordinated control constraint parameters. When the sleep regulation state is a sleep transition state and the respiratory rate change represents a decrease in respiratory rate, the temperature change rate is limited to a first thermal regulation rate that changes gradually across multiple respiratory cycles. When the sleep regulation state is a stable sleep state and the respiratory rate change indicates that the respiratory rate is in a stable state, the temperature change rate is limited to a second thermal regulation rate that is less than the first thermal regulation rate. When the control amplitude constraint characterizes the limitation of the control amplitude, the increase in temperature gradient difference is paused or the rate of change of temperature gradient is reduced. The thermal control parameters are generated based on the direction of temperature change, the rate of temperature change, and the target temperature gradient range.

8. The method according to claim 7, characterized in that, The generation of the thermal control parameters based on the temperature change direction, the temperature change rate, and the target temperature gradient range includes: The pillow's contact surface is divided into multiple adjustable temperature zones; The adjustable temperature range participating in temperature regulation is determined based on the temperature gradient change window constraint. The temperature difference between the adjustable temperature zones involved in temperature regulation is determined according to the target temperature gradient range. When the respiratory rate change is in a stable state and the user's sleep posture parameters represent a stable posture, the temperature difference between adjacent adjustable temperature zones is reduced. When the respiratory rate change is fluctuating or the user's sleep posture parameters represent the posture transition state, the rate of temperature change in the adjustable temperature region involved in temperature regulation is limited, and the temporal smoothness of the temperature gradient change is increased.

9. The method according to claim 1, characterized in that, The step of adjusting the rhythm and timbre of the background music and the temperature gradient of the pillow contact surface according to the acoustic control parameters and the thermal control parameters respectively includes: Adjust the background music tempo within the corresponding rhythm control window according to the tempo control parameters in the acoustic control parameters. According to the timbre control parameter in the acoustic control parameters, the timbre of the background music is adjusted within the timbre change range limited by the control amplitude constraint; According to the temperature gradient control parameter in the thermal control parameters, the temperature gradient of the pillow contact surface is adjusted within the corresponding temperature gradient change window; When the rhythm control window and the temperature gradient change window overlap in time, the background music beat adjustment amplitude or temperature gradient adjustment rate is reduced according to the sound-temperature coordinated control constraint parameters. Continue to gradually adjust the background music and pillow contact surface according to the reduced background music tempo adjustment range or temperature gradient adjustment rate.

10. A pillow sound-temperature dual-mode adaptive control system, characterized in that, include: The breathing posture acquisition module is used to continuously collect the pressure micro-motion signals of the user during pillow use using a high-sensitivity piezoelectric thin film sensor installed inside the pillow, and obtain the breathing waveform and user sleep posture parameters based on the pressure micro-motion signals; The physiological state analysis module is used to perform respiratory cycle analysis and respiratory variability analysis on the respiratory waveform, determine the respiratory rate change and respiratory variability parameters, and generate physiological state indicators to characterize the user's sleep physiological state based on the respiratory rate change and the respiratory variability parameters. The constraint parameter determination module is used to determine the sleep regulation state based on the physiological state indicators, and to determine the acoustic-thermal coordinated regulation constraint parameters under the sleep regulation state based on the respiratory rate change and the user sleep posture parameters. The acoustic-thermal coordinated regulation constraint parameters include rhythm regulation window constraints, temperature gradient change window constraints, and regulation amplitude constraints. The acoustic-thermal coordinated regulation constraint parameters are used to limit the generation range of the acoustic regulation parameters and the thermal regulation parameters. The control parameter generation module is used to generate acoustic control parameters and thermal control parameters based on the sound-temperature coordinated control constraint parameters. The acoustic control parameters include the rhythm control parameters and timbre control parameters of the background music, and the thermal control parameters include the temperature gradient control parameters of the pillow contact surface. The control execution module is used to adjust the rhythm and timbre of the background music and the temperature gradient of the pillow contact surface according to the acoustic control parameters and the thermal control parameters, so that the acoustic stimulation and thermal stimulation are gradually adjusted according to the user's spontaneous breathing frequency in a stable posture state, and the control amplitude of acoustic stimulation and thermal stimulation is limited in a posture transition state. The update module is used to re-acquire the user's pressure micro-motion signal after adjustment, obtain the current respiratory waveform and the current user's sleep posture parameters based on the re-acquired pressure micro-motion signal, perform respiratory cycle analysis and respiratory variability analysis on the current respiratory waveform, determine the current respiratory rate change and the current respiratory variability parameters, and generate new acoustic control parameters and new thermal control parameters based on the current respiratory rate change, the current respiratory variability parameters and the current user's sleep posture parameters.

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