Device and system for relieving negative emotions of high-risk pregnant and lying-in women in perinatal period

Abstract

The invention discloses a device and system for relieving the negative emotion of a high-risk pregnant and lying-in woman in the perinatal period, and relates to the technical field of medical health, and the key points of the technical scheme are that an emotion monitoring module collects physiological signal data and behavior signal data of the high-risk pregnant and lying-in woman in real time, and a data processing module carries out data preprocessing and emotion state recognition; outputting emotion types and emotion intensity data; the emergency relieving module starts the multi-mode relieving sub-module to realize rapid intervention, and the personalized adjustment module generates and executes a personalized relieving scheme containing a family sound application strategy. According to the method, sudden emotion fluctuation of the pregnant and lying-in women is rapidly relieved through second-level emergency intervention, the pregnant and lying-in women are combined with individual difference matching and fused into a personalized soothing scheme of a family member sound strategy, the pregnant and lying-in women, medical staff and family members are linked, and an all-around soothing system with technical intervention and emotion support is constructed; the traditional Chinese medicine composition has important clinical value and social significance for guaranteeing the psychological health of high-risk pregnant and lying-in women in the perinatal period and improving the pregnancy outcome.

Description

Technical Field

[0001] This invention relates to the field of medical and health technology, and more specifically, to a device and system for relieving negative emotions in high-risk pregnant women during the perinatal period. Background Technology

[0002] The perinatal period is a critical stage characterized by significant physiological and psychological fluctuations in pregnant women. High-risk pregnancies, due to factors such as pregnancy complications, abnormal age, and a history of adverse pregnancy outcomes, are more prone to negative emotions such as anxiety, depression, and fear. These negative emotions not only affect the mother's sleep quality and immune function but may also induce adverse pregnancy outcomes such as abnormal uterine contractions and postpartum hemorrhage, and even have long-term adverse effects on the neonatal neurodevelopment. Effectively alleviating negative emotions in high-risk pregnant women during the perinatal period has become an important research direction in the medical and health field.

[0003] Currently, technical solutions for regulating perinatal emotions in pregnant and postpartum women mainly rely on manual intervention, including psychological counseling by medical staff and companionship and comfort from family members. A small number of related technologies are general-purpose emotion monitoring devices that monitor emotional states by collecting physiological indicators such as heart rate and respiration. However, these are mainly applied to the general population and have not been specifically optimized for the physiological characteristics of high-risk pregnant women during the perinatal period. They have not taken into account factors such as hormonal changes during pregnancy and increased physical burden. Furthermore, existing technologies have not formed a closed-loop system of "monitoring-intervention-feedback-adjustment" and have not incorporated emotional support elements such as the voices of family members (encouraging voices of parents and husbands, and the cries of infants) into the intervention plan.

[0004] The existing technology still has the following shortcomings: First, the response is delayed, and it is impossible to provide rapid and immediate intervention when pregnant women experience sudden and severe emotional fluctuations; second, there is a lack of accurate real-time monitoring methods, making it difficult to dynamically track the trend of emotional changes, resulting in a lag in the adjustment of intervention plans; third, there is a lack of personalization, and the intervention measures are mostly general and do not take into account the emotional type and individual differences of pregnant women to develop precise plans; fourth, the emotional comfort value of family members' voices is not utilized, the intervention effect lacks emotional resonance, has poor stability, and cannot meet the targeted and timely needs of high-risk pregnant women for relief of negative emotions during the perinatal period.

[0005] Therefore, the present invention aims to provide a device and system for relieving negative emotions in high-risk pregnant women during the perinatal period, in order to solve the above-mentioned problems. Summary of the Invention

[0006] The purpose of this invention is to provide a device and system for alleviating negative emotions in high-risk pregnant women during the perinatal period. This invention rapidly alleviates sudden emotional fluctuations in pregnant women through second-level emergency intervention. At the same time, the system relies on multi-dimensional signal acquisition and deep learning models, combined with personalized soothing plans that match individual differences of pregnant women and incorporate family voice strategies, dynamically optimizes intervention parameters, and utilizes multimodal soothing methods to link pregnant women, medical staff, and family members, constructing a comprehensive soothing system that combines technical intervention and emotional support. This has important clinical value and social significance for ensuring the perinatal mental health of high-risk pregnant women and improving pregnancy outcomes.

[0007] The above-mentioned technical objective of the present invention is achieved through the following technical solution: a device and system for relieving negative emotions in high-risk pregnant women during the perinatal period, including an emotion monitoring module, an emergency relief module, a personalized adjustment module, a data processing module, a storage module and an interaction module, wherein the modules are logically connected and interact with each other through a data bus or wireless communication protocol;

[0008] The emotion monitoring module is used to collect physiological and behavioral signal data of high-risk pregnant women in real time and transmit them to the data processing module.

[0009] The data processing module is used to receive data transmitted by the emotion monitoring module, perform data preprocessing and emotion state recognition, output emotion type and emotion intensity data, and at the same time, issue control commands to the emergency relief module and the personalized adjustment module according to the emotion recognition results or the instructions input by the interaction module.

[0010] The emergency relief module is used to receive control commands from the data processing module or one-click emergency commands from the interaction module, and to activate the multimodal relief submodule to achieve rapid intervention. The auditory relief unit of the multimodal relief submodule pre-stores or receives and plays family members' voice data in real time.

[0011] The personalized adjustment module is used to generate and execute a personalized soothing plan that includes family voice application strategies based on the emotional data and basic information of pregnant women transmitted by the data processing module, while evaluating the soothing effect and feeding it back to the data processing module.

[0012] The storage module is used to store basic information of pregnant women, emotion monitoring data, emotion recognition results, relief plan data, and family member voice data.

[0013] The interaction module includes a family member interaction unit, which is used to enable the pre-recording, uploading, and real-time transmission of family members' voices.

[0014] The present invention is further configured such that: the emotion monitoring module includes a physiological signal acquisition submodule and a behavioral signal acquisition submodule;

[0015] The physiological signal acquisition submodule uses non-invasive sensors, including a heart rate sensor and a respiration sensor integrated into the smart bracelet, a skin conductivity sensor set on the mattress surface or the bracelet, and a body temperature sensor integrated into the bracelet or clothing. Each sensor transmits data through a wireless communication protocol.

[0016] The behavioral signal acquisition submodule includes a high-definition camera and a sound acquisition device. It transmits the acquired facial expressions, body movements and voice signals of pregnant women through a wireless communication protocol, and the transmission process uses the AES encryption algorithm.

[0017] The present invention is further configured such that: the data processing module adopts an embedded processor, and the emotion state recognition is realized through a trained CNN-LSTM fusion model; the model receives preprocessed physiological signal feature data and behavioral signal feature data, and outputs emotion type and emotion intensity data of 0-10 points.

[0018] The present invention is further configured such that: the trigger response time of the emergency relief module is ≤3 seconds; the multimodal relief submodule also includes a visual relief unit and a tactile relief unit, the visual relief unit includes an ambient light with adjustable brightness and color and a display screen, the display screen can simultaneously display family photos; the tactile relief unit includes a low-frequency vibration massager installed in the mattress, the vibration frequency being 5-10Hz.

[0019] The present invention is further configured such that: the personalized adjustment module includes a scheme generation submodule, a scheme execution submodule, and an effect evaluation submodule;

[0020] The scheme generation submodule uses a collaborative filtering algorithm to combine the pregnant woman's emotional type, high-risk factors, personality traits, emotional closeness with family members, and historical intervention data to match the playback type, playback mode, and collaborative rhythm of family members' voices with other soothing methods.

[0021] The effect evaluation submodule collects pregnant and postpartum women's emotional data every 2 minutes. If the emotional intensity is ≥5 points, it is fed back to the solution generation submodule to adjust the family members' voice strategy.

[0022] The present invention is further configured such that: the interaction module includes a pregnant woman's interaction unit and a medical care interaction unit; the pregnant woman's interaction unit includes a touch screen and a smart bracelet button, and has one-click emergency start, emotional feedback and family member voice adjustment functions; the medical care interaction unit is a mobile terminal APP, which supports viewing the pregnant woman's emotional data, issuing intervention instructions and assisting family members in completing voice recording.

[0023] The invention is further configured such that: the family voice data includes pre-recorded encouraging voices from parents and husbands, and simulated baby calling "Mommy" voices; the real-time family voices are transmitted via 5G network or wireless communication protocol, using VoLTE high-definition voice transmission technology, with a transmission delay of ≤50ms.

[0024] The present invention also provides an apparatus for relieving negative emotions in high-risk pregnant women during the perinatal period, comprising at least one processor; and a memory communicatively connected to at least one of the processors; wherein the memory stores instructions executable by the processor, the instructions being executed by the processor to implement the system for relieving negative emotions in high-risk pregnant women during the perinatal period.

[0025] This invention also provides a method for alleviating negative emotions in high-risk pregnant women during the perinatal period, comprising the following steps:

[0026] S1: System initialization, sensor calibration and function self-test are completed, basic information of pregnant women is entered, and family members' voices are pre-recorded and uploaded through the family member interaction unit and stored in the storage module.

[0027] S2: The emotion monitoring module collects physiological and behavioral signal data of pregnant and postpartum women in real time and transmits them to the data processing module;

[0028] S3: The data processing module preprocesses the collected data, identifies the emotion type and intensity through the emotion recognition model, and determines whether to activate the corresponding soothing function based on the recognition results or one-click emergency command.

[0029] S4: If the emotional intensity is ≥8 points or a one-click emergency command is received, the emergency relief function will be activated, prioritizing the playback of pre-recorded family members' voices, and simultaneously activating the visual and tactile relief functions.

[0030] S5: If the emotional intensity is 3-7 points or the emotional intensity drops to 3-7 points after emergency relief, generate a personalized relief plan that includes family members' voice application strategies and implement it.

[0031] S6: If the emotional intensity is ≤2 points, maintain real-time monitoring and play family members' voices at a low volume according to the needs of pregnant women and new mothers.

[0032] S7: Real-time feedback on the soothing effect, adjusting the family voice strategy or other parameters in the soothing plan according to the effect, forming a closed-loop regulation.

[0033] The present invention is further configured as follows: in step S4, the emergency relief effect is evaluated every 1 minute. If the emotional intensity is still ≥8 points and lasts for more than 5 minutes, real-time family voice transmission is triggered; in step S5, the personalized relief effect is evaluated every 2 minutes. If the emotional intensity is ≥5 points, the playback type, volume or playback frequency of the family voice is adjusted, and the personalized relief plan is re-executed.

[0034] In summary, the present invention has the following beneficial effects:

[0035] 1. This invention provides a rapid and efficient emergency response and timely intervention for sudden emotional episodes. Through the one-click emergency start function of the interactive module and the automatic triggering mechanism of the data processing module, the emergency relief module can respond quickly within 3 seconds and prioritize playing pre-recorded family voices. This effectively solves the pain point of the prior art in the untimely intervention for sudden and severe negative emotions in pregnant women and new mothers. It can alleviate the emotional fluctuations of pregnant women and new mothers in the first instance through the emotionally resonant voices of family members, reducing the risk of adverse pregnancy outcomes.

[0036] 2. This invention provides real-time and accurate emotion monitoring, offering data support for closed-loop regulation. The emotion monitoring module integrates multi-dimensional non-invasive sensors that can collect physiological signals (heart rate, respiration, etc.) and behavioral signals (facial expressions, body movements, etc.) of pregnant and postpartum women in real time. Combined with a CNN-LSTM fusion model, it achieves accurate identification of emotion type and intensity and dynamically tracks the trend of emotion changes, providing reliable data for subsequent adjustments to the relief plan and avoiding the problem of plan lag caused by the lack of real-time monitoring in traditional interventions.

[0037] 3. This invention is highly personalized, and its soothing effect is both targeted and emotionally supportive. The personalized adjustment module combines the pregnant and postpartum woman's emotional type, high-risk factors, personality traits, and emotional closeness with her family. Through a collaborative filtering algorithm, it matches a personalized solution that includes a family member's voice application strategy. It can flexibly adjust the playback type (pre-recorded / real-time transmission), mode (loop / single), and rhythm of the family member's voice in conjunction with other soothing methods. At the same time, it supports dynamic optimization of the family member's voice strategy based on the soothing effect, which greatly improves the targeting of the intervention. The integration of the family member's voice strengthens the emotional comfort effect, transforming cold technical intervention into warm emotional communication, effectively alleviating the pregnant and postpartum woman's feelings of loneliness and helplessness, and further ensuring the stability of the soothing effect.

[0038] 4. This invention constructs a comprehensive relaxation system through multimodal collaboration and multi-party linkage. The system integrates multiple dimensions of relaxation methods, including auditory (including family voices), visual (ambient lighting, family photos), and tactile (low-frequency massage). At the same time, it realizes multi-party linkage between pregnant women, medical staff, and family members through interactive modules. Medical staff can remotely monitor and issue intervention instructions, and family members can participate in the intervention by pre-recording or real-time voice transmission, forming a comprehensive relaxation system of technical intervention, emotional support, and professional guidance, which is more effective than single intervention methods.

[0039] 5. The data transmission and storage of this invention are secure and reliable, ensuring privacy and stability. It adopts a hybrid transmission method combining wireless and wired transmission. Real-time family voices are transmitted via 5G or wireless communication protocols, and VoLTE technology is used to achieve low latency transmission of ≤50ms, ensuring voice clarity. The storage module adopts a hybrid mode of local SD card storage and cloud storage. Local caching ensures that data is not lost when the network is disconnected, and cloud storage supports long-term data retention. The entire process is encrypted, effectively protecting the privacy of pregnant women and the security of family voice data, and improving the stability of system use.

[0040] 6. This invention is easy to operate and adapts to the needs of the perinatal period. The interactive module is designed to fit the usage habits of pregnant women, medical staff, and their families during the perinatal period. Pregnant women can activate emergency functions and adjust soothing parameters with one click through the touch screen or wristband. Family members can easily record and transmit voice messages in real time through the mobile APP. Medical staff can remotely view data and issue instructions without frequent on-site operations. It is adapted to the actual use scenario of hospital wards, improving the practicality and ease of use of the system. Attached Figure Description

[0041] Figure 1 This is a schematic diagram of the modular structure of a system for relieving negative emotions in high-risk pregnant women during the perinatal period, as described in Embodiment 1 of the present invention.

[0042] Figure 2 This is a flowchart illustrating the process interaction of a system for alleviating negative emotions during the perinatal period in high-risk pregnant women, as described in Embodiment 1 of the present invention.

[0043] Figure 3 This is a schematic diagram of the structural principle of a device for relieving negative emotions in high-risk pregnant women during the perinatal period, as described in Embodiment 2 of the present invention.

[0044] Figure 4 This is a flowchart illustrating the steps of a method for alleviating negative emotions in high-risk pregnant women during the perinatal period, as described in Embodiment 3 of the present invention. Detailed Implementation

[0045] The following is in conjunction with the appendix Figures 1-4 The present invention will be described in further detail below.

[0046] Example 1: A system for alleviating negative emotions in high-risk pregnant women during the perinatal period, comprising an emotion monitoring module, an emergency relief module, a personalized adjustment module, a data processing module, a storage module, and an interaction module. The modules are logically connected and interact with each other via a data bus or wireless communication protocol. In this example, the emotion monitoring module is used to collect physiological and behavioral signal data of high-risk pregnant women in real time, enabling dynamic monitoring of their emotional state. Specifically, it includes a physiological signal acquisition submodule and a behavioral signal acquisition submodule.

[0047] The physiological signal acquisition submodule employs non-invasive sensors, including a heart rate sensor, a respiration sensor, a skin conductivity sensor, and a body temperature sensor, to collect heart rate, respiratory rate, skin conductivity, and body temperature data from pregnant women. The heart rate and respiration sensors are integrated into a smart bracelet worn by the pregnant woman, using photoelectric sensing technology to acquire heart rate and respiratory rate signals. The skin conductivity sensor is placed on the mattress surface or where the bracelet contacts the skin to collect changes in skin conductivity. The body temperature sensor is a contact-type temperature sensor integrated into the bracelet or clothing to monitor body surface temperature in real time. The sampling frequency of each sensor is set to 10Hz to ensure real-time data acquisition. The collected data is transmitted to the data processing module via Bluetooth 5.0.

[0048] The behavioral signal acquisition submodule includes a high-definition camera and a sound acquisition device. The high-definition camera is set in a suitable location in the ward (taking care to avoid infringing on privacy) and uses computer vision technology to collect behavioral signals such as the pregnant and postpartum woman's facial expressions (such as frowning, tearing, and facial muscle tension) and body movements (such as curling up, restlessness, and limb stiffness). The sound acquisition device collects the pregnant and postpartum woman's voice signals (such as crying, sighing, and changes in tone). The collected image and audio data are transmitted to the data processing module through a wireless communication protocol, and the AES encryption algorithm is used to ensure data security during the transmission process.

[0049] In this embodiment, the data processing module is the core control unit of the system, employing an embedded processor. It receives data transmitted from various modules and performs data preprocessing, emotion state recognition, and command generation and distribution. Specific functions include: data preprocessing, filtering and normalizing the physiological signal data collected by the emotion monitoring module to convert physiological data of different dimensions to a uniform scale; image preprocessing (grayscale conversion, edge detection) and audio preprocessing (noise reduction, feature extraction) of behavioral signal data to extract facial feature points, limb movement feature vectors, and speech feature parameters; and format conversion and noise reduction of received family member voice data to ensure playback sound quality. Emotion state recognition, based on the preprocessed physiological and behavioral signal data, uses a trained emotion recognition model to determine the pregnant woman's emotion type (anxiety, depression, fear, calm) and emotion intensity (0-10 points, with higher scores indicating stronger negative emotions). The emotion recognition model uses a deep learning model (CNN-LSTM fusion model), where CNN is used to extract spatial features of images and physiological signals, and LSTM is used to extract time series features. The model is trained on a large amount of perinatal emotion sample data of high-risk pregnant women, and the recognition accuracy is no less than 92%.

[0050] The scoring criteria for emotional intensity (0-10 points) in this embodiment are set based on the comprehensive quantitative results of the following three aspects:

[0051] Physiological signal quantification indicators include the degree of heart rate deviation from baseline (e.g., an increase of more than 20% is considered a high contribution value), the amplitude of respiratory rate changes, the intensity of skin conductance (EDA) fluctuations, and the degree of abnormal body temperature. These indicators, after normalization, together constitute the physiological contribution value of emotional intensity. Behavioral signal quantification indicators include the amplitude of facial expression feature point changes (e.g., frowning, drooping corners of the mouth), the frequency of limb movements (e.g., agitation, curling up), and voice features (tone, volume, crying sound detection). These features, after being quantified by the image and audio recognition model, constitute the behavioral contribution value. Emotional probability values ​​output by the deep learning model: The CNN-LSTM model outputs the probability of various emotions (anxiety, fear, depression, etc.). The system takes the highest probability value as the basic emotional intensity and multiplies it by 10 to obtain a score of 0-10.

[0052] The system generates and issues commands based on emotion recognition results, sending control commands to the emergency relief module and the personalized adjustment module. These commands include selecting playback options for family members' voices (pre-recorded / real-time transmission), playback order, and volume. It also receives user commands (such as one-click emergency commands and family member voice recording / transmission commands) from the interaction module, triggering corresponding functions. Finally, it transmits the processed emotion data, adjustment plan data, and family member voice data to the storage module for storage.

[0053] In this embodiment, the emergency relief module is used to quickly initiate intervention measures to alleviate emotional fluctuations when pregnant women experience sudden and severe negative emotions. It includes a trigger submodule, a multimodal relief submodule, and a status feedback submodule. The multimodal relief submodule enhances the integration of family voices into the sound relief unit.

[0054] The trigger submodule receives a one-click emergency command from the interaction module or an automatic trigger command from the data processing module (automatically triggered when the emotional intensity is ≥8 points), quickly starts the multimodal soothing submodule, and the trigger response time is ≤3 seconds.

[0055] The multimodal soothing submodule integrates auditory, visual, and tactile soothing units to achieve multi-dimensional synergistic soothing. The auditory soothing unit includes speaker equipment with pre-stored content including soothing music, natural sound effects (such as flowing water and birdsong), and professional psychological counseling voice recordings (recorded by professional psychologists). It also includes a pre-recorded family voice library (containing encouraging voices from parents and husbands, and a simulated baby calling "Mama"). It supports receiving real-time transmitted family voices and can initially match audio content based on emotional type; for example, it prioritizes playing the husband's encouraging voice during sudden feelings of fear. The visual soothing unit includes an ambient light with adjustable brightness and color, and a display screen that can show soft dynamic images (such as starry skies and ocean waves) and simultaneously display family photos (pre-stored) to enhance emotional resonance. The brightness adjustment range is 50-200 lux, and the colors are primarily warm tones (such as off-white and light yellow). The tactile relaxation unit includes a vibrating massager installed inside the mattress, which uses a low-frequency vibration mode (5-10Hz) to massage the lower back and legs, avoiding pressure on the abdomen.

[0056] The status feedback submodule collects real-time emotional data of pregnant and postpartum women during the relief process (indirectly obtained through the emotion monitoring module) and feeds it back to the data processing module to judge the relief effect. If the emotional intensity does not decrease (lasting ≥8 minutes or more than 5 minutes), it feeds back to the data processing module, triggering the intervention of the personalized adjustment module, and at the same time adjusting the family member voice playback strategy (such as switching to real-time family member voice transmission).

[0057] The personalized adjustment module in this embodiment is used to develop and implement personalized relief plans based on the pregnant and postpartum woman's emotional type, individual differences and historical intervention data. It includes a plan generation submodule, a plan execution submodule and an effect evaluation submodule, with a focus on using family voices as the core component of the personalized plan.

[0058] The solution generation submodule receives the emotion type, emotion intensity, and basic information about the pregnant woman (such as age, type of high-risk factors, personality traits, history of previous emotional interventions, and emotional closeness with family members) transmitted from the data processing module. It retrieves historical soothing solution data and pre-recorded family voice data from the storage module and uses a collaborative filtering algorithm to match the optimal personalized soothing solution. The solution clearly defines the application strategy for family voices: for example, for pregnant women experiencing anxiety and emotional closeness with their husbands, a solution of "pre-recorded encouraging voice from the husband + soothing music + gentle massage of the lower back" is matched; for pregnant women experiencing fear, a solution of "real-time transmission of encouraging voices from parents + simulated baby calling 'Mommy' + warm-toned ambient lighting" is matched; and for pregnant women experiencing depression and introverted personalities, a solution of "looping a combination of encouraging voices from family members + natural sound effects + psychological counseling voices" is matched.

[0059] In the solution execution submodule, based on the generated personalized solution, the parameters of the multimodal soothing submodule are adjusted, including the playback mode of family members' voices (loop / single), volume (30-60 decibels, adapted to the hearing comfort of pregnant and postpartum women), and the coordination rhythm with other soothing methods (such as playing family members' voices for 3 minutes before starting the massage). Real-time voice transmission reminders are sent to family members through the interaction module (such as "Please send real-time encouraging voice messages"), and collaborative intervention reminders are sent to medical staff (such as "It is recommended to pay attention to the emotions of pregnant and postpartum women and cooperate with family members' voice guidance").

[0060] In the effect evaluation submodule, the pregnant and postpartum women's emotional data are collected in real time during the implementation of the plan to evaluate the soothing effect. If the emotional intensity drops to below 3 points (calm state), the current family members' voice playback and other soothing parameters are maintained. If the emotional intensity does not drop significantly (≥5 points), the feedback is sent to the plan generation submodule to adjust the family members' voice type (such as switching from pre-recorded to real-time transmission) or playback strategy (such as increasing the playback frequency) until the emotions stabilize.

[0061] In this embodiment, the storage module adopts a hybrid storage method of SD card + cloud storage to store basic information of pregnant women (such as age, high-risk factors, medical history, personality assessment results, and emotional closeness with family members), real-time emotion monitoring data, emotion recognition results, emergency relief records, personalized relief plans, historical intervention data, and newly added pre-recorded family member voice data (stored categorized by "parents / husband / infant," supporting multiple recordings and updates). The SD card is used for local storage of key real-time data and frequently used family member voice data (ensuring normal playback even without internet access). Cloud storage uploads historical data and complete family member voice data to the cloud server via a 5G network, supporting long-term data storage and remote retrieval (e.g., uploading after remote recording by family members). Stored data is encrypted to protect patient privacy and the security of family member voice data.

[0062] The interaction module in this embodiment is used to enable interaction between users (pregnant women, medical staff, and family members) and the system. It includes an interaction unit for pregnant women, an interaction unit for medical staff, and an interaction unit for family members. It has the function of recording and transmitting voice messages in real time. The interaction unit for pregnant women is set on the touch screen and the button on the smart bracelet in the ward. It has a one-click emergency relief activation function (pregnant women can trigger it through the touch screen button or the button on the smart bracelet), an emotional feedback function (pregnant women can manually input their current emotional state, such as "anxiety" or "fear"), a relief plan adjustment function (such as adjusting the volume of family members' voices and switching the type of family members' voices), and a family members' voice playback selection function (such as "playing the husband's encouraging voice" or "requesting real-time transmission of parents' voices").

[0063] The medical staff interaction unit uses a mobile terminal APP (supporting iOS and Android systems). Medical staff can use the APP to view the pregnant and postpartum woman's emotional state, monitoring data, and intervention records in real time, issue intervention instructions (such as adjusting the soothing plan that includes the voices of family members), assist family members in recording and uploading their voices, and set the playback permissions for family members' voices.

[0064] Family member interaction unit: Utilizes a mobile app (supporting iOS and Android systems) with two core functions: pre-recording function, allowing family members to record encouraging voice messages via the app, which are then uploaded to the system storage module for previewing, modification, and deletion; and real-time transmission function, enabling family members to initiate real-time voice calls via the app when receiving real-time voice transmission reminders from the system or when requested by the pregnant or postpartum woman. The voice data is encrypted and transmitted to the system's auditory soothing unit, enabling real-time voice encouragement with the pregnant or postpartum woman.

[0065] Example 2: A device for alleviating negative emotions in high-risk pregnant women during the perinatal period, comprising at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the processor, the instructions being executed by the processor to implement a system for alleviating negative emotions in high-risk pregnant women during the perinatal period, the system comprising an emotion monitoring module, an emergency relief module, a personalized adjustment module, a data processing module, a storage module, and an interaction module, the modules being logically connected and interacting with each other via a data bus or wireless communication protocol; the emotion monitoring module is used to collect physiological and behavioral signal data of high-risk pregnant women in real time and transmit them to the data processing module; the data processing module is used to receive the data transmitted by the emotion monitoring module, perform data preprocessing and emotion state identification, output emotion type and emotion intensity data, and simultaneously... The emotion recognition results or instructions input from the interaction module send control commands to the emergency relief module and the personalized adjustment module. The emergency relief module receives control commands from the data processing module or one-click emergency commands from the interaction module, and activates the multimodal relief submodule to achieve rapid intervention. The auditory relief unit of the multimodal relief submodule pre-stores or receives and plays family members' voice data in real time. The personalized adjustment module generates and executes a personalized relief plan that includes family members' voice application strategies based on the emotion data transmitted from the data processing module and the basic information of the pregnant woman. At the same time, it evaluates the relief effect and feeds it back to the data processing module. The storage module stores the basic information of the pregnant woman, emotion monitoring data, emotion recognition results, relief plan data, and family members' voice data. The interaction module includes a family member interaction unit for pre-recording, uploading, and real-time transmission of family members' voices.

[0066] Example 3: A method for alleviating negative emotions in high-risk pregnant women during the perinatal period, comprising the following steps:

[0067] S1: System initialization, sensor calibration and function self-test are completed, basic information of pregnant women is entered, and family members' voices are pre-recorded and uploaded through the family member interaction unit and stored in the storage module.

[0068] The system performs a self-check, starts the data processing module, and automatically triggers the self-check process of each submodule: performs zero-point calibration and accuracy testing on the physiological sensors (heart rate, respiration, skin conductivity, body temperature) of the emotion monitoring module to ensure that the data acquisition error is ≤2%; performs connection stability testing on the communication link to verify that the data transmission delay and rate meet the standards; performs action command response testing on the execution module (speakers, ambient lights, massagers) to ensure that the command execution accuracy is 100%; loads the CNN-LSTM emotion recognition model and inputs test samples to verify that the recognition accuracy is ≥92%.

[0069] Basic information entry: Medical staff enter the basic information of pregnant women through the medical staff terminal interaction unit, including the type of high-risk factors, personality traits, history of emotional intervention, scope of authorization by family members, etc. The information is transmitted to the storage module after being encrypted with AES-256 and stored in categories according to "pregnant woman number-entry time".

[0070] Family members can record and upload their voices through the interactive unit on their end. They can record encouraging voices from parents, husbands, etc., with each segment lasting 1-3 minutes and multiple segments supported. They can also choose the system's preset standard voice that simulates a baby calling "Mommy". The recorded voice data is processed by noise reduction and format standardization, and then uploaded to the storage module via Wi-Fi 6 encryption. It is also stored simultaneously on the local SD card and the cloud server to ensure availability in offline scenarios.

[0071] S2: The emotion monitoring module collects physiological and behavioral signal data of pregnant and postpartum women in real time and transmits them to the data processing module.

[0072] After system initialization, it enters the continuous data acquisition phase, synchronously acquiring physiological and behavioral signals of pregnant and postpartum women. This includes physiological signal acquisition. The physiological signal acquisition submodule of the emotion monitoring module operates at a sampling frequency of 10Hz, collecting heart rate and respiratory rate data through the smart bracelet sensor, skin conductivity data through the mattress sensor, and body temperature data through the built-in sensor in the clothing. After the raw data is initially denoised by the module's built-in filtering unit, it is transmitted to the data processing module via Bluetooth 5.0 protocol with a transmission delay of ≤100ms.

[0073] The behavioral signal acquisition submodule of the emotion monitoring module works synchronously, acquiring facial expressions and body movements of pregnant women through a high-definition camera and voice signals through a sound acquisition device. After compression and encryption, the image and audio signals are transmitted to the data processing module via Wi-Fi 6 with a transmission rate of ≥100Mbps, meeting the needs of large-capacity multimedia data transmission.

[0074] In case of data interruption, such as sensor offline or communication link disconnection, the system will automatically activate the local caching function to temporarily store the untransmitted data. At the same time, it will send an alarm reminder to the medical staff through the interaction module. Once the link is restored, the system will automatically retransmit the data to ensure data integrity.

[0075] S3: The data processing module preprocesses the collected data, identifies the emotion type and intensity through the emotion recognition model, and determines whether to activate the corresponding soothing function based on the recognition results or one-click emergency command.

[0076] After receiving the collected data, the data processing module completes the emotion state analysis according to the logic of "preprocessing-recognition-command triggering". This includes data preprocessing, using the Kalman filter algorithm to remove environmental noise interference from physiological signals, and converting data of different dimensions into standardized data in the 0-1 range through normalization; performing grayscale conversion, edge detection, and feature point extraction on image signals to generate facial and limb movement feature vectors; and performing noise reduction and frame segmentation on audio signals to extract speech feature parameters such as Mel frequency cepstral coefficients.

[0077] Emotional state recognition involves inputting preprocessed physiological and behavioral feature data into a CNN-LSTM fusion model. The model extracts spatial features through CNN and extracts time series features through LSTM, outputting the pregnant woman's emotional type (anxiety, depression, fear, etc.) and emotional intensity (0-10 points).

[0078] Intervention commands trigger a judgment; the data processing module executes the judgment logic based on the recognition results.

[0079] If the emotional intensity is ≥8 points, an emergency relief command will be automatically triggered.

[0080] If the emotional intensity is between 3 and 7, a personalized adjustment instruction is triggered.

[0081] If the emotional intensity score is ≤2, continue real-time monitoring.

[0082] If a one-click emergency command is received from the interaction module, the emergency relief command will be triggered immediately, regardless of the current emotional intensity.

[0083] S4: If the emotional intensity is ≥8 points or a one-click emergency command is received, the emergency relief function will be activated, prioritizing the playback of pre-recorded family members' voices, and simultaneously activating the visual and tactile relief functions.

[0084] Upon receiving the instruction, the emergency relief module initiates multimodal collaborative intervention with a response time of ≤3 seconds to quickly alleviate the pregnant woman's sudden and intense negative emotions. This includes the execution of multimodal relief strategies. In the auditory relief unit, pre-recorded family voices from the storage module are prioritized (matched according to the pregnant woman's emotional intimacy level) and played at a volume of 45-50 decibels. In the visual relief unit, warm-toned ambient lights are activated with a brightness of 100-120 lux, and family photos are displayed simultaneously on the screen. In the tactile relief unit, a low-frequency vibration massager on the mattress is activated, using a vibration frequency of 5-10Hz to gently massage the lower back and legs.

[0085] Real-time feedback on emergency relief effects: The status feedback submodule collects emotion monitoring data every minute and feeds it back to the data processing module to evaluate the relief effect.

[0086] If the emotional intensity drops to 3-7 points, proceed with a personalized soothing process;

[0087] If the emotional intensity drops to ≤2 points, switch to a calm state to maintain the procedure;

[0088] If the emotional intensity remains ≥8 points and lasts for more than 5 minutes, a real-time voice transmission reminder is triggered on the family member's end. Real-time voice transmission to the family member is achieved through 5G network and VoLTE technology, with a transmission delay of ≤50ms, and the auditory unit is switched to real-time voice playback mode.

[0089] S5: If the emotional intensity is 3-7 points or the emotional intensity drops to 3-7 points after emergency relief, generate a personalized relief plan that includes family members' voice application strategies and implement it.

[0090] When the pregnant or postpartum woman's emotional intensity is in the range of 3-7, or when the emotional intensity drops to this range after emergency relief, a personalized relief process is initiated. This includes the generation of a personalized plan. The plan generation submodule of the personalized adjustment module retrieves the pregnant or postpartum woman's basic information, emotion recognition results, and historical intervention data. A personalized relief plan is matched through a collaborative filtering algorithm. The plan specifies the core parameters: the type of family member's voice playback (pre-recorded / real-time transmission), playback mode (loop / single), volume, and the rhythm of coordination with soothing music, breathing guidance voice, and massage intensity.

[0091] Personalized plan execution: The plan execution submodule issues control commands according to the generated plan parameters: adjusting the audio playback combination of the speaker device, the vibration intensity and frequency of the massager, and the color and brightness of the ambient light; at the same time, it pushes plan details to the medical staff through the interaction module and sends companionship or real-time voice transmission reminders to the family members, realizing the three-way linkage intervention of pregnant women, medical staff, and family members.

[0092] S6: If the emotional intensity is ≤2 points, maintain real-time monitoring and play family members' voices at a low volume according to the needs of pregnant women.

[0093] To achieve precise intervention, the plan is dynamically optimized through continuous evaluation of its effectiveness. This includes the evaluation cycle and standards. The effectiveness evaluation submodule collects data on the emotional intensity of pregnant and postpartum women every 2 minutes and evaluates it according to the following standards:

[0094] If the emotional intensity is ≤2 points, it is determined that the relief is effective, and the process is switched to maintaining a calm state.

[0095] If the emotional intensity score is 3-4, it is considered to be effective, and the current plan should be continued.

[0096] If the emotional intensity is ≥5 points, it is considered to be ineffective, triggering the plan adjustment process.

[0097] The plan adjustment strategy involves the plan generation submodule adjusting parameters based on the evaluation results. Adjustments include: switching family members' voice types, increasing the frequency of real-time voice transmission, adjusting the ratio of massage intensity to audio volume, and adding breathing guidance voice duration. The adjusted plan is then re-executed and re-enters the effect evaluation process until the emotional intensity drops to ≤2 points or stabilizes in the 3-4 point range.

[0098] S7: Real-time feedback on the soothing effect, adjusting the family voice strategy or other parameters in the soothing plan according to the effect, forming a closed-loop regulation.

[0099] When the pregnant or postpartum woman's emotional intensity is ≤2 points, the system enters the calm state maintenance phase, and the specific process is as follows:

[0100] With continuous monitoring and mild intervention, the emotion monitoring module maintains continuous data collection, while the multimodal soothing module switches to standby mode. It can play family members' voices in a low volume of 30-35 decibels in a loop according to the needs of pregnant and postpartum women to ensure emotional stability.

[0101] Data archiving and report generation: The data processing module generates an emotional state report every 30 minutes, which includes monitoring data, intervention plans, effect curves, etc., and transmits it to the storage module for archiving; at the same time, the report is pushed to the medical staff's mobile app, so that medical staff can track the emotional change trends of pregnant and postpartum women.

[0102] Data security is ensured by encrypting all collected data, intervention records, and family member voice data with AES-256. Local SD card cached data is regularly synchronized to the cloud server, and cloud data is stored in accordance with medical data management standards to protect the privacy and security of pregnant women.

[0103] This specific embodiment is merely an explanation of the present invention and is not intended to limit the invention. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they are within the scope of the claims of the present invention.

Claims

1. A system for alleviating negative emotions in high-risk pregnant women during the perinatal period, characterized in that: It includes an emotion monitoring module, an emergency relief module, a personalized adjustment module, a data processing module, a storage module, and an interaction module. The modules are logically connected and interact with each other through a data bus or wireless communication protocol. The emotion monitoring module is used to collect physiological and behavioral signal data of high-risk pregnant women in real time and transmit them to the data processing module. The data processing module is used to receive data transmitted by the emotion monitoring module, perform data preprocessing and emotion state recognition, output emotion type and emotion intensity data, and at the same time, issue control commands to the emergency relief module and the personalized adjustment module according to the emotion recognition results or the instructions input by the interaction module. The emergency relief module is used to receive control commands from the data processing module or one-click emergency commands from the interaction module, and to activate the multimodal relief submodule to achieve rapid intervention. The auditory relief unit of the multimodal relief submodule pre-stores or receives and plays family members' voice data in real time. The personalized adjustment module is used to generate and execute a personalized soothing plan that includes family voice application strategies based on the emotional data and basic information of pregnant women transmitted by the data processing module, while evaluating the soothing effect and feeding it back to the data processing module. The storage module is used to store basic information of pregnant women, emotion monitoring data, emotion recognition results, relief plan data, and family member voice data. The interaction module includes a family member interaction unit, which is used to enable the pre-recording, uploading, and real-time transmission of family members' voices.

2. The system for alleviating negative emotions in high-risk pregnant women during the perinatal period according to claim 1, characterized in that: The emotion monitoring module includes a physiological signal acquisition submodule and a behavioral signal acquisition submodule; The physiological signal acquisition submodule uses non-invasive sensors, including a heart rate sensor and a respiration sensor integrated into the smart bracelet, a skin conductivity sensor set on the mattress surface or the bracelet, and a body temperature sensor integrated into the bracelet or clothing. Each sensor transmits data through a wireless communication protocol. The behavioral signal acquisition submodule includes a high-definition camera and a sound acquisition device. It transmits the acquired facial expressions, body movements and voice signals of pregnant women through a wireless communication protocol, and the transmission process uses the AES encryption algorithm.

3. The system for alleviating negative emotions in high-risk pregnant women during the perinatal period according to claim 1, characterized in that: The data processing module uses an embedded processor, and the emotion state recognition is achieved through a trained CNN-LSTM fusion model. The model receives preprocessed physiological signal feature data and behavioral signal feature data, and outputs emotion type and emotion intensity data of 0-10 points.

4. The system for alleviating negative emotions in high-risk pregnant women during the perinatal period according to claim 1, characterized in that: The emergency relief module has a trigger response time of ≤3 seconds; the multimodal relief submodule also includes a visual relief unit and a tactile relief unit. The visual relief unit includes an ambient light with adjustable brightness and color and a display screen, which can simultaneously display family photos; the tactile relief unit includes a low-frequency vibration massager installed in the mattress, with a vibration frequency of 5-10Hz.

5. A system for alleviating negative emotions in high-risk pregnant women during the perinatal period according to claim 1, characterized in that: The personalized adjustment module includes a solution generation submodule, a solution execution submodule, and an effect evaluation submodule; The scheme generation submodule uses a collaborative filtering algorithm to combine the pregnant woman's emotional type, high-risk factors, personality traits, emotional closeness with family members, and historical intervention data to match the playback type, playback mode, and collaborative rhythm of family members' voices with other soothing methods. The effect evaluation submodule collects pregnant and postpartum women's emotional data every 2 minutes. If the emotional intensity is ≥5 points, it is fed back to the solution generation submodule to adjust the family members' voice strategy.

6. A system for alleviating negative emotions in high-risk pregnant women during the perinatal period according to claim 1, characterized in that: The interaction module also includes a pregnant woman's interaction unit and a medical staff's interaction unit; the pregnant woman's interaction unit includes a touch screen and a smart bracelet button, and has one-click emergency start, emotional feedback and family member voice adjustment functions; the medical staff's interaction unit is a mobile terminal APP, which supports viewing the pregnant woman's emotional data, issuing intervention instructions and assisting family members in completing voice recording.

7. A system for alleviating negative emotions in high-risk pregnant women during the perinatal period according to claim 1, characterized in that: Family voice data includes pre-recorded encouraging voices from parents and husbands, as well as a simulated baby calling "Mommy." Real-time family voices are transmitted via 5G network or wireless communication protocol, using VoLTE high-definition voice transmission technology with a transmission latency of ≤50ms.

8. A device for relieving negative emotions in high-risk pregnant women during the perinatal period, characterized in that: The system includes at least one processor; and a memory communicatively connected to at least one of the processors; wherein the memory stores instructions executable by the processor to implement a system for alleviating negative perinatal emotions in high-risk pregnant women, as described in any one of claims 1-7.

9. A method for alleviating negative emotions in high-risk pregnant women during the perinatal period, applied to the system for alleviating negative emotions in high-risk pregnant women during the perinatal period as described in any one of claims 1-7, characterized in that: Includes the following steps: S1: System initialization, sensor calibration and function self-test are completed, basic information of pregnant women is entered, and family members' voices are pre-recorded and uploaded through the family member interaction unit and stored in the storage module. S2: The emotion monitoring module collects physiological and behavioral signal data of pregnant and postpartum women in real time and transmits them to the data processing module; S3: The data processing module preprocesses the collected data, identifies the emotion type and intensity through the emotion recognition model, and determines whether to activate the corresponding soothing function based on the recognition results or one-click emergency command. S4: If the emotional intensity is ≥8 points or a one-click emergency command is received, the emergency relief function will be activated, prioritizing the playback of pre-recorded family members' voices, and simultaneously activating the visual and tactile relief functions. S5: If the emotional intensity is 3-7 points or the emotional intensity drops to 3-7 points after emergency relief, generate a personalized relief plan that includes family members' voice application strategies and implement it. S6: If the emotional intensity is ≤2 points, maintain real-time monitoring and play family members' voices at a low volume according to the needs of pregnant women and new mothers. S7: Real-time feedback on the soothing effect, adjusting the family voice strategy or other parameters in the soothing plan according to the effect, forming a closed-loop regulation.

10. A method for alleviating negative emotions in high-risk pregnant women during the perinatal period according to claim 9, characterized in that: In step S4, the emergency relief effect is evaluated every minute. If the emotional intensity is still ≥8 points and lasts for more than 5 minutes, real-time family voice transmission is triggered. In step S5, the personalized relief effect is evaluated every 2 minutes. If the emotional intensity is ≥5 points, the playback type, volume or frequency of the family voice is adjusted, and the personalized relief plan is re-executed.

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