Intelligent bedside instrument for relieving insomnia with assistance of sound waves

Abstract

The invention relates to an intelligent bedside instrument for relieving insomnia with assistance of sound waves. The intelligent bedside instrument comprises a sound wave adjusting module, a sound wave resonance relaxing system, a sleep state monitoring module and a personalized feedback system, the sound wave adjusting module sends specific sound waves to the sleep environment, and the sleep environment is automatically optimized based on sleep stage data monitored in real time by adjusting the frequency and intensity of the sound waves. The sound wave resonance relaxing system emits low-frequency sound waves with specific frequency into a bed head or a pillow according to the sleep state of a user, and the low-frequency sound waves are transmitted to the head and the body of the user through the resonance effect and used for relaxing tense muscles, stimulating deep nerves and helping the user to quickly relax and sleep. Through sound wave adjustment, resonance relaxation, accurate sleep state monitoring and a personalized feedback system, the sleep quality of a user is effectively improved, the user is helped to quickly enter deep sleep from a light sleep state, external interference is avoided, a sleep adjustment scheme is continuously optimized through intelligent analysis, and personalized requirements are met.

Description

Technical Field

[0001] The present invention relates to the field of intelligent health equipment, and in particular to an intelligent bedside instrument for alleviating insomnia with the assistance of sound waves. Background Art

[0002] With the accelerated pace of life and the increase in work pressure in modern society, insomnia, shallow sleep and poor sleep quality are becoming more and more common. Long-term lack of sleep or poor sleep quality can have serious effects on the physical and mental health of the human body, such as lack of concentration, memory loss, emotional disorder, and even chronic diseases. At present, although there are some products on the market to improve sleep, such as sleeping pills, white noise equipment, traditional massagers, etc., these products either have dependence and side effects, or have limited effects and cannot effectively improve insomnia.

[0003] In recent years, with the rapid development of smart health devices, solutions using technologies such as biofeedback and sound wave regulation to improve sleep quality have gradually gained attention. Among them, low-frequency sound wave technology, as an emerging sleep aid, has shown the potential to help users relax their nerves, relieve anxiety and promote deep sleep. However, most of the existing smart sleep aids are limited to a single function, such as playing fixed sleep-aiding music or white noise, and lack the ability to make personalized adjustments based on individual differences of users, making it difficult to meet the diverse needs of different users. In addition, the monitoring accuracy of existing equipment is low, making it difficult to accurately capture the user's sleep state, resulting in the inability to achieve effective real-time adjustment. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an intelligent bedside instrument for relieving insomnia with the assistance of sound waves. Through sound wave adjustment, resonance relaxation, precise sleep status monitoring and personalized feedback system, it can effectively improve the user's sleep quality, help the user quickly enter deep sleep from light sleep, avoid external interference, and continuously optimize the sleep adjustment plan through intelligent analysis to meet personalized needs.

[0005] The technical solution of the present invention is as follows:

[0006] An intelligent bedside instrument for alleviating insomnia with the aid of sound waves, comprising: a sound wave adjustment module, a sound wave resonance relaxation system, a sleep state monitoring module and a personalized feedback system;

[0007] The sound wave adjustment module emits specific sound waves into the sleeping environment, and automatically optimizes the sleeping environment based on the real-time monitored sleep stage data by adjusting the sound wave frequency and intensity;

[0008] The acoustic resonance relaxation system emits low-frequency sound waves of a specific frequency into the head of the bed or pillow according to the user's sleeping state, and transmits them to the user's head and body through resonance to relax tense muscles and stimulate deep nerves, helping the user to relax and fall asleep quickly;

[0009] The sleep status monitoring module identifies the patient's facial features, breathing intensity and frequency in the dark, and determines the patient's sleep stage and degree in combination with the parameters monitored by the bracelet;

[0010] The personalized feedback system generates a personalized sleep plan and provides feedback suggestions based on the user's historical sleep data.

[0011] The sound wave adjustment module includes an adaptive adjustment algorithm, which dynamically adjusts the frequency, intensity and duration of the sound waves according to the user's real-time sleep state data to optimize the user's sleeping environment.

[0012] The low-frequency sound waves emitted by the sound wave resonance relaxation system have a frequency range of 10Hz to 40Hz. By resonating with the user's body, a weak vibration effect is produced to help release muscle tension and relieve anxiety.

[0013] Among them, the sleep status monitoring module uses an infrared camera to identify the user's facial features and breathing changes in a dark environment, and further improves the accuracy of sleep stage judgment through real-time monitoring of chest movements and facial micro-expressions; the parameters collected by the bracelet include the user's heart rate, body temperature, blood oxygen saturation and exercise data.

[0014] Among them, the personalized feedback system uses machine learning algorithms to optimize recommendations for future sleep plans based on the user's historical sleep data and current sleep performance, and provides personalized adjustment suggestions, including sound wave frequency, ambient temperature adjustment and light intensity; the personalized feedback system detects and records the user's sleep abnormalities, and improves the user's sleep quality by adjusting the sound wave adjustment module and the frequency and intensity of the sound wave resonance system.

[0015] Wherein, the monitoring method of the sleep state monitoring module is:

[0016] S1. Data collection

[0017] The system collects the user's physiological data in real time through a variety of sensors:

[0018] Infrared camera: Tracks the user's facial movements and chest movements through infrared rays, captures the user's facial features, especially eye movements and facial micro-expressions; detects the frequency of chest expansion and contraction to analyze the rhythm and intensity of breathing;

[0019] Bracelet device: collects the user's heart rate, body temperature, blood oxygen saturation and body movement data, and transmits the data to the system's processing unit via wireless transmission;

[0020] S2. Data Synchronization

[0021] The system adds a timestamp to each data point and uses a data synchronization algorithm to align the data from all sensors to ensure that the output data from the infrared camera and the bracelet can be processed simultaneously;

[0022] S3. Feature calculation

[0023] The system calculates the user's eye movement frequency, the interval time of each breath and the depth of breathing, and calculates the user's heart rate fluctuations through the standard deviation of the RR interval. HRV tends to be stable during deep sleep, but fluctuates greatly during REM and light sleep. The sleep state is determined by changes in body temperature. The body temperature drops slowly during deep sleep. The body's turning over and micro-movements are detected based on the accelerometer data of the bracelet. The body activity is low during deep sleep.

[0024] S4. Sleep stage determination

[0025] The system combines all extracted feature values ​​into a feature vector and uses a machine learning-based classification algorithm to determine the user's current sleep stage. Based on the feature data, the system divides the user's sleep into the following stages:

[0026] Rapid eye movement: high eye movement frequency, large fluctuations in heart rate variability, and irregular breathing;

[0027] Light sleep: low eye movement frequency, moderate heart rate variability, and relatively stable breathing;

[0028] Deep sleep: Eye movement frequency is very low, heart rate variability is low, breathing is deep and steady, body temperature drops, and the body is almost motionless;

[0029] S5. Personalized feedback and adjustment

[0030] Based on the system's real-time judgment of the user's sleep stage, the smart bedside instrument dynamically adjusts the working conditions of the sound wave regulation module and the sound wave resonance relaxation system through an adaptive adjustment algorithm.

[0031] Among them, the control method of the sound wave regulation and relaxation system corresponding to different sleep stages is:

[0032] Rapid eye movement:

[0033] The sound wave frequency is set within the range of about 15Hz to 20Hz to minimize stimulation to the user's nervous system; the volume and resonance amplitude of the sound waves are reduced to the lowest level, making the sound soft, quiet and less disturbing; the system stops the low-frequency vibration of the resonance system to avoid stimulating the user's neural activity and preventing the user from waking up suddenly;

[0034] Light sleep period:

[0035] The frequency of the sound wave adjustment module is adjusted to between 20Hz and 25Hz. The sound waves are still gentle, but begin to play a role in hypnosis and nerve relaxation. The volume and intensity of the sound waves rise slightly, but remain in a gentle range to ensure that they do not disturb the user. The sound wave resonance relaxation system begins to emit slight low-frequency vibrations with a frequency of between 25Hz and 30Hz, which are transmitted to the user's head and body through the pillow to help the user's muscles relax and accelerate the transition from light sleep to deep sleep.

[0036] Deep sleep stage:

[0037] The sound wave adjustment module reduces the frequency to between 10Hz and 15Hz, further relaxing the nervous system and maintaining the user's deep sleep state; the volume is maintained at a very low level to create a quiet and stable sleeping environment and avoid any possible stimulation; the sound wave resonance relaxation system maintains a stable low-frequency resonance, with the frequency maintained between 20Hz and 25Hz. The resonance will be transmitted to the user's head and whole body, helping to release remaining muscle tension and supporting deep physical recovery and repair;

[0038] Awakening period:

[0039] The frequency of the sound waves gradually rises to between 30Hz and 40Hz, providing a more active sound wave environment to help users wake up naturally; the volume and intensity of the sound waves gradually increase, awakening the user's senses and allowing the user to wake up in a more comfortable state without being startled; the vibration of the resonance system will gradually weaken until it stops completely, preventing the user from feeling uncomfortable vibrations when waking up and ensuring a smooth waking process.

[0040] Adjustments for abnormal breathing or sleep:

[0041] When the system detects apnea or rapid breathing, the sound wave regulation module immediately adjusts the frequency and emits gentle sound waves with a frequency between 20Hz and 30Hz to help the user restore a normal breathing rhythm; the system emits medium-frequency sound waves with a frequency between 25Hz and 30Hz to help the user gradually restore their breathing rhythm without overstimulating the nervous system; the sound wave resonance system immediately stops vibrating to ensure that the user can focus on restoring normal breathing.

[0042] The intelligent bedside instrument is equipped with a pillow capable of receiving low-frequency sound waves and generating resonance, and the pillow comprises:

[0043] Outer comfort layer: Made of high-density polyester fiber material to ensure that low-frequency sound waves can effectively penetrate the outer layer without being blocked.

[0044] A sound wave conducting layer, made of low-density polyurethane foam, for receiving low-frequency sound waves and conducting the sound waves from the pillow surface to the inside of the pillow;

[0045] A resonance layer, located inside the sound wave conducting layer, is made of a material that can resonate with low-frequency sound waves and is used to produce a resonance effect that matches the sound wave frequency. The resonance layer is made of a piezoelectric ceramic film and a nickel-titanium alloy film.

[0046] The flexible hose is made of flexible silicone material and can conduct low-frequency sound waves while maintaining airtightness. The low-frequency sound waves generated by the intelligent bedside instrument are transmitted to the connected flexible hose through the sound wave transmitting unit; the flexible silicone hose is responsible for transmitting the low-frequency sound waves from the bedside instrument to the inside of the pillow and entering the sound wave conducting layer; the sound waves received by the sound wave conducting layer are transmitted to the resonance layer, and the resonance layer composed of piezoelectric ceramic film and nickel-titanium alloy film responds to the sound waves to generate mechanical vibrations;

[0047] A shock-absorbing and soothing layer is arranged inside the resonance layer, and is used to absorb excessive vibrations generated by the resonance, and ensure the comfort of the pillow through the shock-absorbing function, and the shock-absorbing and soothing layer is composed of memory foam or polyester fiber filling;

[0048] A wireless connection module, used for receiving low-frequency sound wave signal control instructions from the intelligent bedside instrument;

[0049] A control unit, used to dynamically adjust the resonance frequency and intensity of the resonance layer according to the sound wave frequency and intensity transmitted by the smart bedside instrument and the user's sleep data;

[0050] The sensor module includes a pressure sensor, a vibration sensor, and a temperature sensor, which is used to monitor the pressure distribution of the user's head and neck, the temperature, and the vibration inside the pillow, and adjust the resonance effect of the pillow in real time;

[0051] A wireless power supply module or a rechargeable battery is used to power the electronic components in the pillow through magnetic induction or electromagnetic resonance technology, or directly through a battery.

[0052] The present invention has the following beneficial effects:

[0053] The intelligent bedside instrument system that helps relieve insomnia with sound waves optimizes the user's sleep experience through the organic combination of modules such as sound wave adjustment, resonance relaxation, sleep monitoring and personalized feedback. The sound wave adjustment module dynamically adjusts the frequency and intensity of the sound waves according to the user's real-time sleep state to match the needs of different sleep stages; the sound wave resonance relaxation system generates weak vibrations by emitting low-frequency sound waves to help users relax their muscles and nerves and promote deep sleep; the sleep state monitoring module uses multi-sensor fusion technology, combined with infrared cameras and bracelet data, to accurately monitor the user's sleep stage; the personalized feedback system analyzes the user's historical sleep data based on machine learning algorithms, provides personalized adjustment suggestions, and optimizes future sleep plans. Through the comprehensive application of these functions, the system can automatically adjust the working mode during light sleep and deep sleep, help users enter a deeper sleep state, and respond to emergencies such as abnormal breathing. Overall, the intelligent bedside instrument system significantly improves the user's sleep quality, reduces insomnia and sleep disorders, and improves sleep in a personalized way through adaptive optimization and real-time feedback. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a schematic diagram of the working process of the intelligent bedside instrument of the present invention;

[0055] Figure 2 It is a structural schematic diagram of a pillow of the present invention.

[0056] The reference numerals in the figure are as follows:

[0057] 1. External comfort layer; 2. Sound wave conduction layer; 3. Resonance layer; 4. Flexible hose. DETAILED DESCRIPTION

[0058] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0059] See also Figure 1 , an intelligent bedside instrument for alleviating insomnia with the aid of sound waves, comprising: a sound wave adjustment module, a sound wave resonance relaxation system, a sleep state monitoring module and a personalized feedback system;

[0060] The sound wave adjustment module emits specific sound waves into the sleeping environment, and automatically optimizes the sleeping environment based on the real-time monitored sleep stage data by adjusting the sound wave frequency and intensity;

[0061] The acoustic resonance relaxation system emits low-frequency sound waves of a specific frequency into the head of the bed or pillow according to the user's sleeping state, and transmits them to the user's head and body through resonance to relax tense muscles and stimulate deep nerves, helping the user to relax and fall asleep quickly;

[0062] The sleep status monitoring module identifies the patient's facial features, breathing intensity and frequency in the dark, and determines the patient's sleep stage and degree in combination with the parameters monitored by the bracelet;

[0063] The personalized feedback system generates a personalized sleep plan and provides feedback suggestions based on the user's historical sleep data.

[0064] In this embodiment, the sound wave adjustment module includes an adaptive adjustment algorithm, which dynamically adjusts the frequency, intensity and duration of the sound waves according to the real-time sleep state data of the user to optimize the user's sleeping environment.

[0065] In this embodiment, the low-frequency sound waves emitted by the sound wave resonance relaxation system have a frequency range of 10 Hz to 40 Hz, which resonate with the user's body to produce a weak vibration effect, thereby helping to release muscle tension and relieve anxiety.

[0066] In this embodiment, the sleep status monitoring module uses an infrared camera to identify the user's facial features and breathing changes in a dark environment, and further improves the accuracy of sleep stage judgment through real-time monitoring of chest movements and facial micro-expressions; the parameters collected by the bracelet include the user's heart rate, body temperature, blood oxygen saturation and motion data.

[0067] In this embodiment, the personalized feedback system uses a machine learning algorithm to optimize recommendations for future sleep plans based on the user's historical sleep data and current sleep performance, and provides personalized adjustment suggestions, including sound wave frequency, ambient temperature adjustment, and light intensity; the personalized feedback system detects and records the user's sleep abnormalities, and improves the user's sleep quality by adjusting the sound wave adjustment module and the frequency and intensity of the sound wave resonance system.

[0068] In this embodiment, the monitoring method of the sleep state monitoring module is:

[0069] 1. Data Collection

[0070] The system collects the user's physiological data in real time through a variety of sensors:

[0071] Infrared camera: Tracks the user's facial movements and chest movements through infrared rays, captures the user's facial features, especially eye movements and facial micro-expressions; detects the frequency of chest expansion and contraction to analyze the rhythm and intensity of breathing;

[0072] Bracelet device: collects the user's heart rate, body temperature, blood oxygen saturation and body movement data, and transmits the data to the system's processing unit via wireless transmission;

[0073] The data collected by various sensors and devices must be synchronized in real time, and the data processing module needs to efficiently integrate the data from these different sources. The data is transmitted to the processing unit through a wireless transmission module (such as Bluetooth, Wi-Fi). Bracelet devices usually have built-in low-power sensors that continuously monitor heart rate, blood oxygen and body temperature to provide important reference data for sleep status.

[0074] 2. Signal processing and analysis

[0075] Facial feature recognition and analysis:

[0076] The facial image captured by the infrared camera uses a facial feature detection algorithm to analyze the user's eye movements and facial expressions (such as frowning, relaxing, etc.), which can help determine rapid eye movement (REM) and light sleep. Using deep learning or other image processing algorithms, changes in facial features can be accurately identified.

[0077] Eye movement detection: In the REM stage, the eyes move frequently, while in the deep sleep stage, the eyes are basically still. Based on the frequency and amplitude of eye movements, combined with other physiological signals, it can be determined whether the user is in the REM stage.

[0078] The breathing rate is calculated. If the breathing rate drops to a certain threshold, it means the user has entered deep sleep (NREM stage).

[0079] Acoustic sensors can further verify the depth and rhythm of breathing, providing detection of apnea or irregular breathing by capturing the volume and frequency of breathing sounds.

[0080] Heart rate and body temperature analysis:

[0081] The wristband device collects heart rate, body temperature and blood oxygen saturation data in real time, and measures heart rate through photoplethysmography (PPG). Heart rate usually tends to be stable during deep sleep, and becomes more irregular during rapid eye movement.

[0082] Body temperature data is associated with sleep stages. Generally, body temperature drops slightly during deep sleep and rises during light sleep or wakefulness.

[0083] Motion Detection:

[0084] The built-in accelerometer of the bracelet is used to detect the user's body movement. Reduced movement usually means that the user has entered a deep sleep, while frequent tossing and turning or small body movements indicate that the user is in a light sleep state.

[0085] 3. Sleep stage determination algorithm

[0086] Data fusion: The data from the infrared camera and the bracelet are integrated to form multimodal sleep data. The time synchronization algorithm ensures that the data from all sensors are analyzed on the same time scale.

[0087] Machine learning algorithm: The machine learning model trained with historical data can analyze the physiological signals of the current user and dynamically determine the user's sleep stage by combining the labeled sleep stage data. Common sleep stages include rapid eye movement (REM), light sleep (NREM 1, NREM 2) and deep sleep (NREM 3).

[0088] Feature extraction: Extract features from heart rate variability, breathing rate, body temperature changes, facial micro-expressions, and eye movement data, and identify the user's current sleep stage based on different feature patterns.

[0089] Rapid eye movement (REM): judged by frequent changes in facial micro-expressions and eye movements, as well as fluctuations in heart rate, combined with breathing data.

[0090] Deep sleep stage (NREM 3): Deep sleep is recognized by a decrease in heart rate, slowed breathing, decreased body temperature, and a still body.

[0091] Light sleep (NREM 1, NREM 2): The heart rate fluctuates slightly, breathing is relatively stable, and eye movements and body micro-movements are more frequent.

[0092] 4. Personalized feedback and optimization

[0093] The output data of the monitoring module is provided to users through a personalized feedback system based on machine learning algorithms to provide sleep quality reports. The report will describe the user's sleep cycle, duration of each stage, and potential abnormalities (such as apnea, abnormal heart rate, etc.) in detail.

[0094] Based on historical sleep data, the personalized feedback system can provide users with personalized adjustment suggestions and adjust the parameters of the sound wave adjustment module and the sound wave resonance relaxation system to help improve sleep quality.

[0095] 5. System Integration and User Interface

[0096] All monitoring data can be wirelessly transmitted to the user's mobile phone application or other visual interface, and the user can view his or her sleep report and personalized suggestions through the application. The application can also be used to control the working mode of the bedside instrument and adjust parameters such as sound wave frequency and intensity.

[0097] Through a multi-sensor system including infrared cameras and bracelet devices, the sleep status monitoring module can capture the user's physiological characteristics without interference in a dark environment and accurately identify the user's sleep stage and quality. Combined with machine learning algorithms, the system can not only perform real-time monitoring, but also provide personalized sleep optimization solutions based on the user's historical data.

[0098] Specifically,

[0099] Eye movement frequency (E_freq):

[0100] By calculating the distance of eye movements between consecutive frames, eye movements were identified and their frequency was calculated. D eye (i) is the Euclidean distance of eye movement in each frame; Δt is the time interval.

[0101] Respiratory frequency (R_freq):

[0102] The breathing rate is calculated from the chest expansion / contraction cycle detected by the breathing sensor. ΔT breath (i) is the time interval between adjacent respiratory peaks, in seconds; n is the number of respiratory cycles.

[0103] Heart Rate Variability (HRV):

[0104] Heart rate variability was calculated using the standard deviation of the RR intervals, reflecting changes in heart rhythm.

[0105] RR i is the interval between adjacent heartbeats; is the mean value of the RR intervals.

[0106] Body temperature (T):

[0107] Monitor the user's body temperature through the wristband sensor. cyrrent =T baseline *ΔT sleep ; T baseline is the user's basal body temperature; ΔT sleep It is the drop in body temperature during sleep.

[0108] Physical activity (A): The user's physical activity is calculated through the accelerometer data of the wristband. x i ,y i , z i is the three-dimensional acceleration data at each time point.

[0109] Based on different physiological signals (such as breathing, heart rate, body temperature, movement), a machine learning model is used to classify the user's sleep stages.

[0110] In this embodiment, the control method of the sound wave adjustment and relaxation system corresponding to different sleep stages is:

[0111] 1. Rapid Eye Movement (REM)

[0112] Features detected:

[0113] The eye movement frequency is high, and the user's eyes move quickly.

[0114] The respiratory rate is erratic and there may be brief respiratory changes.

[0115] Heart rate variability (HRV) fluctuates greatly and the heart rate is relatively unstable.

[0116] There is little body movement but may be accompanied by slight limb twitching.

[0117] Adjustment of sound wave and resonance system:

[0118] Reduce the frequency and intensity of sound waves: The rapid eye movement period is a lighter sleep stage, and users are more sensitive to external interference. Therefore, the sound wave adjustment module will reduce the frequency and intensity of sound waves to avoid disturbing users and maintain a more peaceful sleeping environment.

[0119] Sound wave frequency adjustment: Set the sound wave frequency in a lower range (about 15Hz to 20Hz) to minimize stimulation to the user's nervous system.

[0120] Sound wave intensity adjustment: The volume and resonance amplitude of the sound waves will be reduced to the lowest level, making the sound soft, quiet and less disturbing.

[0121] The resonance system stops micro-vibrations: Brain activity is more active during the rapid eye movement period, and the system will stop the low-frequency vibrations of the resonance system to avoid stimulating the user's neural activity and preventing the user from waking up suddenly.

[0122] 2. Light sleep (NREM 1 and NREM 2)

[0123] Features detected:

[0124] The eye movement frequency is low and the eye movements gradually decrease.

[0125] The breathing rate is relatively stable and the breathing rhythm is even.

[0126] Heart rate variability (HRV) is moderate and heartbeat is relatively regular.

[0127] Body movements occur occasionally, and there may be rolling over or slight limb movements.

[0128] Adjustment of sound wave and resonance system:

[0129] The sound wave frequency remains at a medium-low level: During the light sleep stage, the user has not yet fully entered deep sleep. The system adjusts the sound wave frequency to a medium-low level to help the user relax and enter deep sleep.

[0130] Sound wave frequency adjustment: The sound wave adjustment module adjusts the frequency to between 20Hz and 25Hz. The sound waves are still soft, but begin to play a hypnotic and relaxing role.

[0131] Medium intensity: The volume and intensity of the sound waves rise slightly, but remain in a gentle range to ensure that they do not disturb the user.

[0132] Slight vibration of the resonance system: The acoustic resonance relaxation system begins to emit slight low-frequency vibrations, with a frequency between 25Hz and 30Hz, which are transmitted to the user's head and body through the pillow. The slight resonance of the vibration can help the user's muscles relax and accelerate the transition from light sleep to deep sleep.

[0133] 3. Deep sleep (NREM 3)

[0134] Features detected:

[0135] The eye movement frequency is almost zero, and the user's eyes are completely still.

[0136] The breathing rate is steady and deep, and the breathing rhythm is slow.

[0137] Heart rate variability (HRV) is the lowest, and the heartbeat is stable and gentle.

[0138] There is minimal body movement, the user is barely moving, and is in a very relaxed state.

[0139] Temperature Drop: The user's body temperature drops slightly.

[0140] Adjustment of sound wave and resonance system:

[0141] The sound wave frequency is reduced to a deep relaxation level: Deep sleep is a critical stage for recovery and repair. The system adjusts the sound wave frequency to an extremely low level to help users maintain a deep sleep state without being disturbed.

[0142] Sound wave frequency adjustment: The sound wave adjustment module reduces the frequency to between 10Hz and 15Hz. This frequency can further relax the nervous system and maintain the user's deep sleep state.

[0143] Low sound intensity: The volume is maintained at a very low level to create a quiet and peaceful sleeping environment, avoiding any possible stimulation.

[0144] Resonance system maintains low-frequency vibration: The acoustic resonance relaxation system will maintain a stable low-frequency resonance, with a frequency between 20Hz and 25Hz. The resonance will be transmitted to the user's head and whole body, helping to release remaining muscle tension and supporting deep physical recovery and repair.

[0145] Increased vibration amplitude: During deep sleep, the user's neural activity is low, so the amplitude of the resonant vibration can be slightly increased to help promote blood circulation and relieve muscle fatigue. The increase in vibration amplitude still needs to ensure that it does not disturb the user's sleep.

[0146] 4. Awakening

[0147] Features detected:

[0148] The eye movement frequency gradually recovers and the eyes begin to move regularly.

[0149] The breathing rate increases, and the breathing becomes more rapid and erratic.

[0150] Heart rate variability (HRV) increases, and the heartbeat becomes more irregular.

[0151] The amount of body movement increases, and the user may turn over or adjust their posture, indicating that they are about to wake up.

[0152] Adjustment of sound wave and resonance system:

[0153] The frequency of sound waves gradually increases: In order to help users wake up naturally, the system will gradually increase the frequency of sound waves, and increase the frequency and intensity of sound waves simultaneously to wake users up.

[0154] Sound wave frequency adjustment: The sound wave frequency gradually rises to between 30Hz and 40Hz, providing a more active sound wave environment to help users wake up naturally.

[0155] Sound wave intensity adjustment: The volume and intensity of the sound waves gradually increase to awaken the user's senses, allowing the user to wake up in a more comfortable state rather than suddenly waking up.

[0156] The resonance system stops vibrating: The vibration of the resonance system will gradually weaken until it stops completely, preventing the user from feeling uncomfortable vibrations when waking up and ensuring a smooth waking process.

[0157] 5. Adjustment when breathing or sleeping is abnormal

[0158] Features detected:

[0159] Pauses in breathing or rapid breathing may indicate that there is something wrong with your breathing, especially in the case of a sleep disorder such as sleep apnea, where your breathing rate decreases abnormally or stops for periods of time.

[0160] Large fluctuations in heart rate variability may mean that the user's heart activity is affected.

[0161] Adjustment of sound wave and resonance system:

[0162] Quickly adjust the sound wave frequency: When the system detects apnea or rapid breathing, the sound wave adjustment module will immediately adjust the frequency and emit gentle sound waves (between 20Hz and 30Hz) to help users restore normal breathing rhythm.

[0163] Adjust the frequency to a medium level: The system can choose to emit medium-frequency sound waves (25Hz) to help the user gradually restore their breathing rhythm without overstimulating the nervous system.

[0164] Resonance system stops vibration: To prevent vibrations from negatively affecting the respiratory system, the acoustic resonance system will immediately stop vibrating, ensuring the user can focus on restoring normal breathing.

[0165] The system optimizes the user's sleeping environment by monitoring the user's sleep status in real time and automatically adjusting the working mode of the sound wave adjustment module and the sound wave resonance relaxation system according to different stages. In light sleep and deep sleep, the system helps users maintain good sleep quality by adjusting the sound wave frequency, intensity and resonant vibration; in the rapid eye movement period and awakening period, the system reduces or increases the sound wave frequency and intensity to avoid disturbing or naturally waking the user. In addition, when abnormal breathing is detected, the system can respond quickly and adjust the sound wave and resonance system to help the user return to a normal physiological state.

[0166] See also Figure 2 In this embodiment, the intelligent bedside instrument is equipped with a pillow capable of receiving low-frequency sound waves and generating resonance, and the pillow includes:

[0167] External comfort layer 1: Made of soft, breathable high-density polyester fabric, it provides a comfortable experience of contact with the user's skin while ensuring the effectiveness of sound wave conduction;

[0168] The sound wave conducting layer 2 is located inside the outer comfort layer and is made of a high-elasticity, low-density polyurethane foam material, which can effectively transmit low-frequency sound waves and guide the sound waves to the inside of the pillow while maintaining the elasticity and comfort of the pillow;

[0169] The resonance layer 3 is located inside the sound wave conduction layer and is composed of a piezoelectric ceramic film and a nickel-titanium alloy film. It can resonate with low-frequency sound waves in the frequency range of 10 Hz to 40 Hz and convert the sound wave energy into mechanical vibration to help users relax their muscles and nerves.

[0170] The flexible hose 4 is made of a flexible silicone material and can conduct low-frequency sound waves while maintaining air tightness. The low-frequency sound waves generated by the intelligent bedside instrument are transmitted to the connected flexible hose through the sound wave transmitting unit; the flexible silicone hose is responsible for transmitting the low-frequency sound waves from the bedside instrument to the inside of the pillow and entering the sound wave conducting layer; the sound waves received by the sound wave conducting layer are transmitted to the resonance layer, and the resonance layer composed of a piezoelectric ceramic film and a nickel-titanium alloy film generates mechanical vibrations in response to the sound waves;

[0171] Shock absorption and soothing layer 5, using high-density memory foam (density 50-70kg / m 3 ), which is used to absorb the excessive vibrations generated by the resonance layer to ensure that the user does not feel uncomfortable. At the same time, the memory foam can provide good head and neck support to keep the user's head in the correct position at night;

[0172] A wireless connection module, used for receiving low-frequency sound wave signal control instructions from the intelligent bedside instrument;

[0173] A control unit, used to dynamically adjust the resonance frequency and intensity of the resonance layer according to the sound wave frequency and intensity transmitted by the smart bedside instrument and the user's sleep data;

[0174] The sensor module includes a pressure sensor, a vibration sensor, and a temperature sensor, which is used to monitor the pressure distribution of the user's head and neck, the temperature, and the vibration inside the pillow, and adjust the resonance effect of the pillow in real time;

[0175] A wireless power supply module or a rechargeable battery is used to power the electronic components in the pillow through magnetic induction or electromagnetic resonance technology, or directly through a battery.

[0176] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An intelligent bedside instrument for alleviating insomnia with the aid of sound waves, characterized in that: include: Sound wave regulation module, sound wave resonance relaxation system, sleep status monitoring module and personalized feedback system; The sound wave adjustment module emits specific sound waves into the sleeping environment, and automatically optimizes the sleeping environment based on the real-time monitored sleep stage data by adjusting the sound wave frequency and intensity; The acoustic resonance relaxation system emits low-frequency sound waves of a specific frequency into the head of the bed or pillow according to the user's sleeping state, and transmits them to the user's head and body through resonance to relax tense muscles and stimulate deep nerves, helping the user to relax and fall asleep quickly; The sleep status monitoring module identifies the patient's facial features, breathing intensity and frequency at night, and determines the patient's sleep stage and degree in combination with the parameters monitored by the bracelet; The personalized feedback system generates a personalized sleep plan and provides feedback suggestions based on the user's historical sleep data.

2. The intelligent bedside instrument for alleviating insomnia with the aid of sound waves according to claim 1, characterized in that: The sound wave adjustment module includes an adaptive adjustment algorithm, which dynamically adjusts the frequency, intensity and duration of the sound waves according to the user's real-time sleep state data to optimize the user's sleeping environment.

3. The intelligent bedside instrument for alleviating insomnia with the aid of sound waves according to claim 1, characterized in that: The sound wave resonance relaxation system emits low-frequency sound waves with a frequency range of 10 Hz to 40 Hz, which resonate with the user's body to produce a weak vibration effect, helping to release muscle tension and relieve anxiety.

4. The intelligent bedside instrument for alleviating insomnia with the aid of sound waves according to claim 1, characterized in that: The sleep status monitoring module uses an infrared camera to identify the user's facial features and breathing changes in a dark environment, and further improves the accuracy of sleep stage judgment by real-time monitoring of chest movements and facial micro-expressions; the parameters collected by the bracelet include the user's heart rate, body temperature, blood oxygen saturation and exercise data.

5. The intelligent bedside instrument for alleviating insomnia with the aid of sound waves according to claim 1, characterized in that: The personalized feedback system uses a machine learning algorithm to optimize recommendations for future sleep plans based on the user's historical sleep data and current sleep performance, and provides personalized adjustment suggestions, including sound wave frequency, ambient temperature adjustment, and light intensity; the personalized feedback system detects and records the user's sleep abnormalities, and improves the user's sleep quality by adjusting the sound wave adjustment module and the frequency and intensity of the sound wave resonance system.

6. The intelligent bedside instrument for alleviating insomnia with the aid of sound waves according to claim 4, characterized in that: The monitoring method of the sleep state monitoring module is: S1. Data collection The system collects the user's physiological data in real time through a variety of sensors: Infrared camera: Tracks the user's facial movements and chest movements through infrared rays, captures the user's facial features, especially eye movements and facial micro-expressions; detects the frequency of chest expansion and contraction to analyze the rhythm and intensity of breathing; Bracelet device: collects the user's heart rate, body temperature, blood oxygen saturation and body movement data, and transmits the data to the system's processing unit via wireless transmission; S2. Data Synchronization The system adds a timestamp to each data point and uses a data synchronization algorithm to align the data from all sensors to ensure that the output data from the infrared camera and the bracelet can be processed simultaneously; S3. Feature calculation The system calculates the user's eye movement frequency, the interval time and depth of each breath, and the user's heart rate fluctuations; determines the sleep state through changes in body temperature, and detects body turning over and micro-movements based on the bracelet's accelerometer data; S4. Sleep stage determination The system combines all extracted feature values ​​into a feature vector and uses a machine learning-based classification algorithm to determine the user's current sleep stage. Based on the feature data, the system divides the user's sleep into the following stages: Rapid eye movement: high eye movement frequency, large fluctuations in heart rate variability, and irregular breathing; Light sleep: low eye movement frequency, moderate heart rate variability, and relatively stable breathing; Deep sleep: Eye movement frequency is very low, heart rate variability is low, breathing is deep and steady, body temperature drops, and the body is almost motionless; S5. Personalized feedback and adjustment Based on the system's real-time judgment of the user's sleep stage, the smart bedside instrument dynamically adjusts the working conditions of the sound wave regulation module and the sound wave resonance relaxation system through an adaptive adjustment algorithm.

7. The intelligent bedside instrument for alleviating insomnia with the aid of sound waves according to claim 6, characterized in that: The control method of the sound wave regulation and relaxation system corresponding to different sleep stages is as follows: Rapid eye movement: The sound wave frequency is set within the range of about 15Hz to 20Hz to minimize stimulation to the user's nervous system; the volume and resonance amplitude of the sound waves are reduced to the lowest level, making the sound soft and quiet to reduce interference; the system stops the low-frequency vibration of the sound wave resonance system to avoid stimulating the user's neural activity and preventing the user from waking up suddenly; Light sleep period: The frequency of the sound wave adjustment module is adjusted to between 20Hz and 25Hz. The sound waves are still gentle, but begin to play a role in hypnosis and nerve relaxation. The volume and intensity of the sound waves rise slightly, but remain in a gentle range to ensure that they do not disturb the user. The sound wave resonance relaxation system begins to emit slight low-frequency vibrations with a frequency of between 25Hz and 30Hz, which are transmitted to the user's head and body through the pillow to help the user's muscles relax and accelerate the transition from light sleep to deep sleep. Deep sleep stage: The sound wave adjustment module reduces the frequency to between 10Hz and 15Hz, further relaxing the nervous system and maintaining the user's deep sleep state; the volume is maintained at a very low level to create a quiet and stable sleeping environment and avoid any possible stimulation; the sound wave resonance relaxation system maintains a stable low-frequency resonance, with the frequency maintained between 20Hz and 25Hz. The resonance will be transmitted to the user's head and whole body, helping to release remaining muscle tension and supporting deep physical recovery and repair; Awakening period: The frequency of the sound waves gradually rises to between 30Hz and 40Hz, providing a more active sound wave environment to help users wake up naturally; the volume and intensity of the sound waves gradually increase, awakening the user's senses and allowing the user to wake up in a more comfortable state without being startled; the vibration of the sound wave resonance system will gradually weaken until it stops completely, preventing the user from feeling uncomfortable vibrations when waking up and ensuring a smooth waking process. Adjustments for abnormal breathing or sleep: When the system detects apnea or rapid breathing, the sound wave regulation module immediately adjusts the frequency and emits gentle sound waves with a frequency between 20Hz and 30Hz to help the user restore a normal breathing rhythm; the system emits medium-frequency sound waves with a frequency between 25Hz and 30Hz to help the user gradually restore their breathing rhythm without overstimulating the nervous system; the sound wave resonance system immediately stops vibrating to ensure that the user can focus on restoring normal breathing.

8. The intelligent bedside instrument for alleviating insomnia with the aid of sound waves according to claim 7, characterized in that: The intelligent bedside instrument is equipped with a pillow capable of receiving low-frequency sound waves and generating resonance, and the pillow comprises: Outer comfort layer: Made of high-density polyester fiber material to ensure that low-frequency sound waves can effectively penetrate the outer layer without being blocked. A sound wave conducting layer, made of low-density polyurethane foam, for receiving low-frequency sound waves and conducting the sound waves from the pillow surface to the inside of the pillow; A resonance layer, located inside the sound wave conducting layer, is made of a material that can resonate with low-frequency sound waves and is used to produce a resonance effect that matches the sound wave frequency. The resonance layer is made of a piezoelectric ceramic film and a nickel-titanium alloy film. The flexible hose is made of flexible silicone material and can conduct low-frequency sound waves while maintaining airtightness. The low-frequency sound waves generated by the intelligent bedside instrument are transmitted to the connected flexible hose through the sound wave transmitting unit; the flexible silicone hose is responsible for transmitting the low-frequency sound waves from the bedside instrument to the inside of the pillow and entering the sound wave conducting layer; the sound waves received by the sound wave conducting layer are transmitted to the resonance layer, and the resonance layer composed of piezoelectric ceramic film and nickel-titanium alloy film responds to the sound waves to generate mechanical vibrations; A shock-absorbing and soothing layer is arranged inside the resonance layer, and is used to absorb excessive vibrations generated by the resonance, and ensure the comfort of the pillow through the shock-absorbing function, and the shock-absorbing and soothing layer is composed of memory foam or polyester fiber filling; A wireless connection module, used for receiving low-frequency sound wave signal control instructions from the intelligent bedside instrument; A control unit, used to dynamically adjust the resonance frequency and intensity of the resonance layer according to the sound wave frequency and intensity transmitted by the smart bedside instrument and the user's sleep data; The sensor module includes a pressure sensor, a vibration sensor, and a temperature sensor, which is used to monitor the pressure distribution of the user's head and neck, the temperature, and the vibration inside the pillow, and adjust the resonance effect of the pillow in real time; A wireless power supply module or a rechargeable battery is used to power the electronic components in the pillow through magnetic induction or electromagnetic resonance technology, or directly through a battery.

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