Breast pump control method and device, medium, equipment and product

Abstract

The invention discloses a breast pump control method and device, a medium, equipment and a product, and relates to the technical field of breast pumps.The breast pump control method comprises the steps that physiological parameter information, sent by monitoring equipment, of a user is obtained, the lactation state is analyzed through the physiological parameter information, and then the breast pump is controlled to work based on the physiological parameter information; therefore, the user is assisted to achieve the purpose of efficiently discharging milk, and the use experience of the user is improved.

Description

Technical Field

[0001] This application relates to the field of breast pump technology, and in particular to a breast pump, a breast pump control method, device, medium, equipment, and product. Background Technology

[0002] Breast pumps are a common tool for breastfeeding mothers to assist in expressing milk and clearing milk ducts. Breast pumps use negative pressure to avoid stimulating the breast tissue, and the suction strength can be adjusted by a suction regulator to collect the milk in a bottle. Breast pumps have become one of the essential pieces of equipment for breastfeeding mothers.

[0003] Currently, breast pumps achieve lactation by setting different working modes or speeds, but the lactation effect needs to be improved. Summary of the Invention

[0004] This application provides a breast pump control method, device, medium, equipment, and product to solve the technical problem of poor lactation effect in existing breast pumps during use.

[0005] To achieve the above objectives, this application proposes a breast pump control method, the method comprising: Acquire the user's physiological parameter information sent by the monitoring equipment; The breast pump is controlled to operate based on the physiological parameter information.

[0006] Furthermore, to achieve the above objectives, this application also proposes a breast pump control device, which includes: The acquisition module is used to acquire the user's physiological parameter information sent by the monitoring device; The control module is used to control the breast pump to operate based on the physiological parameter information.

[0007] In addition, to achieve the above objectives, this application also proposes an electronic device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the breast pump control method described above.

[0008] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the breast pump control method described above.

[0009] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the breast pump control method described above.

[0010] One or more technical solutions proposed in this application have at least the following technical effects: By acquiring users' physiological parameter information sent by monitoring devices, the system analyzes the user's lactation status and controls the breast pump based on this information. It can adjust the working mode or status of the breast pump in a timely manner according to the user's physiological state, thereby helping the user achieve efficient milk expression and improving the user experience. Attached Figure Description

[0011] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0012] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 A flowchart illustrating an embodiment of the breast pump control method of this application; Figure 2 A schematic diagram of an application scenario for breast pump control provided in this application embodiment; Figure 3 This is a schematic diagram of the structure of a breast pump according to an embodiment of this application.

[0014] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0015] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0016] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0017] Existing breast pumps rely on users to actively adjust their settings to stimulate milk production, resulting in a poor user experience.

[0018] To address the aforementioned problems, this application provides a breast pump control method. This breast pump control method is executed by an electronic device. The electronic device can be a breast pump or other control terminal with computer processing capabilities (e.g., a mobile phone, a watch, etc.).

[0019] Reference Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the breast pump control method of this application. In this embodiment, the breast pump control method includes steps S10 to S20: Step S10: Obtain the user's physiological parameter information sent by the monitoring device.

[0020] See Figure 2 , Figure 2 This application scenario, provided by one embodiment of the breast pumping control method of this application, includes a breast pump 1 and a monitoring device 2. For example, the monitoring device 2 may include a radar wave device 21, an electroencephalogram (EEG) detection device 22, or other devices capable of monitoring the user's physiological parameters.

[0021] In this embodiment, the breast pump control method can be applied to a breast pump control system. The breast pump control system includes a breast pump and a monitoring device. The breast pump includes a control module, which can communicate with the monitoring device via a wireless network (such as Wi-Fi), cellular network (such as 4G / 5G), or Bluetooth to receive user physiological parameter information sent by the monitoring device in real time and control the breast pump to operate based on this physiological parameter information. Furthermore, the breast pump can also establish a binding relationship with the monitoring device to facilitate data exchange and sharing.

[0022] In some embodiments, the control module can send an acquisition request to the monitoring device at preset acquisition cycles. Upon receiving the acquisition request, the monitoring device parses out the physiological parameter identifier contained in the acquisition request and sends the corresponding physiological parameter information to the control module based on the physiological parameter identifier. The physiological parameter identifier contained in the acquisition request may include one or more (in this application, "multiple" means more than two). Thus, the control module can receive at least one type of physiological parameter information corresponding to each acquisition cycle. The preset acquisition cycle is set according to actual conditions; for example, the preset acquisition cycle may be one minute.

[0023] In some embodiments, physiological parameter information may include at least one of heart rate, blood pressure, blood oxygen, respiratory rate, and electroencephalogram (EEG).

[0024] In some embodiments, the control module may acquire physiological parameter information through an external contact monitoring device and / or an external non-contact monitoring device that communicates with the breast pump.

[0025] Specifically, external contact monitoring devices may include at least one of smartwatches, smart rings, smart neckbands, smart headbands, and wearable patches.

[0026] It should be noted that the smartwatch, smart ring, smart neckband, smart head-mounted device, and wearable patch in this embodiment integrate multiple monitoring modules, such as a blood oxygen monitoring module, a blood pressure monitoring module, a heart rate monitoring module, and an electrocardiogram (ECG) monitoring module. The blood oxygen monitoring module monitors the user's blood oxygen level, the blood pressure monitoring module monitors the user's blood pressure, the heart rate monitoring module monitors the user's heart rate, and the ECG monitoring module monitors the user's electrocardiogram (ECG). The smart head-mounted device integrates a brainwave sensing module, which can detect the user's brainwaves. The smart head-mounted device can be a smart brain-computer interface headset or a smart headband.

[0027] In some embodiments, the external non-contact monitoring device may include at least one of a radar wave device, an electroencephalogram (EEG) detection device, and an imaging device. The radar wave device, based on the Doppler effect and acoustic reflection technology, emits sound waves of a specific frequency towards a target object and receives the reflected waves. By analyzing the frequency, phase, or amplitude changes of the reflected waves, it extracts the motion information of the target object and then calculates its physiological parameters. For example, the radar wave device can emit millimeter-wave radar towards the chest of a human body and analyze the periodic changes in the frequency shift signal based on the received reflected wave frequency, thereby calculating the respiratory rate based on the periodic changes in the frequency shift signal. Monitoring physiological parameters such as respiratory rate, blood oxygen, blood pressure, and heart rate via remote acoustic devices is existing technology and will not be elaborated upon here.

[0028] Electroencephalogram (EEG) detection devices can detect brainwave signals in the human body and then extract physiological parameters such as respiratory rate, blood oxygen, blood pressure, and heart rate based on these signals.

[0029] The imaging device can be a mobile phone, camera, or other device capable of acquiring image information. In some embodiments, the imaging device can monitor physiological parameters using imaging photoplethysmography (IPPG) technology. Specifically, IPPG technology uses light waves as a medium to capture heartbeat information from continuous images of human skin, and processes the heartbeat information to obtain physiological information such as heart rate, heart rate variability, respiratory rate, blood oxygen saturation, and blood pressure.

[0030] Step S20: Control the breast pump to work based on physiological parameter information.

[0031] In some embodiments, the control module can adjust at least one of the following based on physiological parameter information: working mode, working parameters, power on, power off, hibernation, start working, and pause working of the breast pump.

[0032] The operating parameters can include the frequency and / or suction power of the breast pump, and the operating modes can include various types such as stimulation mode, pumping mode, and mixed mode. The stimulation mode is mainly used to stimulate the breasts to produce a milk let-down reflex. This mode is suitable for beginners and generally operates at a high frequency and low negative pressure. The pumping mode is used after the milk let-down reflex has occurred. It generally operates at a medium to low frequency and high negative pressure, mimicking the stable sucking motion of a baby while breastfeeding, efficiently extracting milk and quickly and effectively removing a large amount of milk. The mixed mode combines the stimulation and pumping modes, typically integrating both modes. During operation, the stimulation mode is used first, followed by switching to pumping mode, alternating between the two modes to ensure that all milk is completely extracted from the breasts.

[0033] In some embodiments, the physiological parameters may include one or more types. After receiving physiological parameter information of at least one type from at least one monitoring device, the control module determines the final value of each type of physiological parameter. Specifically, if the control module collects only one physiological parameter value of each type in each acquisition cycle, the received physiological parameter value of each type is taken as the final value of each type of physiological parameter. If the control module receives physiological parameter values ​​of the same type from multiple monitoring devices in each acquisition cycle, the average value of the corresponding type of physiological parameter values ​​from multiple monitoring devices is calculated to obtain the final value of the corresponding type of physiological parameter. For example, assuming the control module simultaneously receives a first heart rate value from a smartwatch and a second heart rate value from a smart neckband device, the average value of the first and second heart rate values ​​is calculated to obtain the user's final heart rate value. Then, the control module analyzes the final values ​​of each type of physiological parameter and adjusts at least one of the following based on the analysis results: the working mode of the breast pump, the working parameters in the working mode, power on, power off, hibernation, start working, and pause working.

[0034] It is important to note that the core of the lactation mechanism lies in the precise synergistic regulation of oxytocin and prolactin. The dynamic balance and interaction of these two hormones within the mother's body not only determine the efficiency of milk production and release but also form a deep connection with the mother's physiological state through a complex neuroendocrine feedback regulatory mechanism. Specifically, when there are differences in the secretion levels of oxytocin and prolactin in a lactating mother's body, her physiological state will exhibit characteristic changes. For example, when oxytocin levels rise rapidly in a short period, it activates the contraction of mammary myoepithelial cells, leading to a sudden increase in intraductal pressure in the mammary ducts, which in turn triggers adaptive adjustments in local microcirculation, possibly manifesting as a temporary increase in mammary blood oxygen saturation. The physiological basis of this phenomenon is that oxytocin-induced mammary duct contraction temporarily alters local blood flow distribution, promoting increased blood perfusion to the mammary tissue. Therefore, this embodiment analyzes the user's physiological parameter information and adjusts the working mode and / or working parameters of the breast pump based on the physiological parameter information, so that the working mode and / or working parameters of the breast pump are synchronized with the mother's lactation rhythm and can adapt to the fluctuation of prolactin, thereby improving the efficiency of lactation while maintaining user comfort.

[0035] Specifically, after acquiring at least one type of physiological parameter information within each acquisition cycle, the rate of change of each type of physiological parameter in each acquisition cycle can be calculated. The rate of change of the physiological parameter in each acquisition cycle is calculated as: (physiological parameter value acquired in the current acquisition cycle - physiological parameter value acquired in the previous acquisition cycle) / acquisition cycle duration. Then, the breast pump is controlled to operate based on the rate of change of each type of physiological parameter in the current acquisition cycle, or based on the rate of change of each type of physiological parameter in the current acquisition cycle and the rate of change of each type of physiological parameter in the previous n acquisition cycles, where n is a positive integer.

[0036] Furthermore, when controlling the breast pump to operate in the corresponding working mode, the control module can monitor the rate of change of various physiological parameters in each sampling cycle within the current working mode in real time, and adjust the working parameters or working status in the working mode based on the rate of change of each physiological parameter. For example, when the breast pump is running in milk pumping mode, if the detected rate of change of the user's blood oxygen is greater than c, the suction power of the breast pump is reduced to avoid user discomfort, or the breast pump is controlled to stop working until the detected rate of change of the user's blood oxygen is less than or equal to c for m consecutive sampling cycles, at which point the breast pump is controlled to restart and operate according to the working conditions set in the milk pumping mode. Here, c is a preset threshold, which can be personalized based on user information.

[0037] This embodiment acquires the user's physiological parameter information sent by the monitoring device and controls the breast pump to work based on the physiological parameter information. It can adjust the working mode or state of the breast pump in a timely manner according to the user's physiological state, thereby helping the user to achieve efficient milk expression and improving the user experience.

[0038] In order to ensure that the working status, working mode, and working parameters of the breast pump can match the user's lactation status, in one embodiment of this example, the above-mentioned S20 may include: S201 determines the user's lactation status based on physiological parameter information.

[0039] In some embodiments, the physiological parameter information includes multiple types of physiological parameter information, and the control module can fuse multiple types of physiological parameter information to determine the lactation status. By fusing multiple types of physiological parameters to predict the lactation status, the accuracy of lactation status prediction can be improved.

[0040] In some embodiments, the control module can match various types of physiological parameter information with preset lactation status rules and determine the lactation status based on the matching results.

[0041] For example, the lactation state may include a first lactation state and a second lactation state, wherein the first lactation state represents a lactation preparation state, that is, the user is about to start lactation; and the second lactation state represents that the user is about to trigger a milk let-down or has already triggered a milk let-down.

[0042] The following provides a first implementation method for determining lactation status based on multiple types of physiological parameter information and preset lactation status rules, including A1~A2: A1 calculates the rate of change of each type of physiological parameter in each acquisition cycle based on the physiological parameter information collected in each acquisition cycle.

[0043] Specifically, the calculation methods for the rate of change of each type of physiological parameter are detailed in the relevant content above and will not be repeated here.

[0044] A2, at the end of each acquisition cycle, matches the rate of change of each type of physiological parameter in the current acquisition cycle and the previous n acquisition cycles with the preset lactation status rules, and determines the lactation status based on the matching results. Here, n is a positive integer.

[0045] The control module can determine whether the rate of change of each type of physiological parameter in the current acquisition cycle and the previous n acquisition cycles matches the physiological change trend corresponding to any lactation state included in the preset lactation state rules. If so, it determines that the user is in a lactation state corresponding to the matching lactation state physiological change trend.

[0046] For example, if the absolute values ​​of the rate of change of blood oxygen in the n previous sampling periods are all less than a preset first fluctuation threshold and the absolute values ​​of the rate of change of respiratory rate are all less than a preset second fluctuation threshold, and the rate of change of blood oxygen in the current sampling period is greater than a preset first rise threshold and the respiratory rate in the current sampling period is less than a preset first fall threshold, then the rate of change of each type of physiological parameter in the current sampling period and the n previous sampling periods matches the physiological change trend of the second lactation state, thus determining that the user is in the second lactation state. That is, if blood oxygen and blood pressure are relatively stable in the n previous sampling periods, but a rapid rise and a rapid drop in respiratory rate occur in the current sampling period, it is inferred that the milk let-down reflex is about to occur or has already occurred, and the user's current lactation state is determined to be the second lactation state. If the absolute values ​​of the rate of change of blood oxygen in the n previous collection cycles are all less than a preset first fluctuation threshold and the absolute values ​​of the rate of change of respiratory rate are all less than a preset second fluctuation threshold, and the rate of change of blood oxygen in the current collection cycle is greater than a preset second rise threshold and the respiratory rate in the current collection cycle is greater than a preset second fall threshold, then the rate of change of each type of physiological parameter in the current collection cycle and the n previous collection cycles is determined to match the physiological change trend of the first lactation state, thereby determining that the user is in the first lactation state. Specifically, the preset first fluctuation threshold, preset second fluctuation threshold, preset first rise threshold, and preset second rise threshold are all greater than 0, and the preset first fall threshold and preset second fall threshold are all less than 0.

[0047] The following provides a second implementation method for determining lactation status based on multiple types of physiological parameter information, including: For each acquisition cycle, calculate the rate of change of each type of physiological parameter value in the current acquisition cycle; Based on the rate of change of each type of physiological parameter in the current acquisition cycle, determine the weighting factor of each type of physiological parameter in the current acquisition cycle. The rate of change of each type of physiological parameter value in the current collection period is weighted and summed with the weighting factor of each type of physiological parameter to obtain a state score, and the lactation state is determined based on the state score.

[0048] Furthermore, considering the individual differences in physiological parameters among different users, their values ​​often fall within different ranges. When users are in different lactation states, even physiological parameters of the same type may exhibit different physiological changes and patterns within their specific value ranges. Therefore, to more accurately quantify the contribution of each type of physiological parameter to lactation status assessment, the weighting factor of each type of parameter can be dynamically correlated with the range of its rate of change. Specifically, for each type of physiological parameter, a corresponding weighting factor is set based on the value range of its rate of change in each collection cycle. This allows the weighting factor to be dynamically adjusted when the rate of change of the corresponding type of parameter falls within different value ranges, thus more accurately reflecting its actual role in lactation status assessment. In addition, after each task is completed by the breast pump, the control module can adaptively adjust the value of the weighting factor corresponding to any parameter within a given value range based on user feedback data.

[0049] For example, the state score A = K1 * Δheart rate + K2 * Δrespiratory rate + K3 * Δblood oxygen + K4 * Δblood pressure + K5 * Δa. Where Δheart rate represents the rate of change in heart rate, Δrespiratory rate represents the rate of change in respiratory rate, Δblood oxygen represents the rate of change in blood oxygen, Δblood pressure represents the rate of change in blood pressure, and Δa represents the brainwave activity level. The rate of change, the frequency of brain waves can be α Wave, β frequency or γ Frequency. K1 is determined by the numerical range of the heart rate variability, K2 by the numerical range of the respiratory rate variability, K3 by the numerical range of the blood oxygen variability, K4 by the numerical range of the blood pressure variability, and K5 by the numerical range of the brain wave frequency variability. Taking heart rate as an example, the heart rate variability is divided into three numerical ranges: [z1, z2), [z2, z3), and [z3, z4). If the heart rate variability is in [z1, z2), then K1 is the first preset value; if it is in [z2, z3), then K1 is the second preset value; and if it is in [z3, z4), then K1 is the third preset value.

[0050] In this application, functional near-infrared spectroscopy can be used to detect blood oxygen in the user's prefrontal cortex, and the user's emotions can be determined based on the blood oxygen in the prefrontal cortex, with different weighting factors assigned to different emotions.

[0051] Specifically, positive emotions contribute to milk production, while negative emotions inhibit it. The prefrontal cortex can be divided into three main subregions: the dorsolateral prefrontal cortex, the ventromedial prefrontal cortex, and the orbitofrontal cortex. Blood oxygenation in the prefrontal cortex is correlated with a user's emotions. By monitoring the rate of change in blood oxygenation in the ventromedial prefrontal cortex, it can be determined whether the user is in a state of deep relaxation. By monitoring the rate of change in blood oxygenation in the orbitofrontal cortex, it can be determined whether the user is in a state of pleasure. By monitoring the ratio of blood oxygenation concentration in the right dorsolateral prefrontal cortex to that in the left dorsolateral prefrontal cortex, it can be determined whether the user is under stress.

[0052] For example, if the blood oxygen level in the ventromedial prefrontal cortex rises rapidly and is >0.5 μmol / L, it corresponds to a state of deep relaxation; if the blood oxygen level in the orbitofrontal cortex rises rapidly and the slope is >1 μmol / L, it corresponds to a state of pleasure; if the blood oxygen concentration in the right dorsolateral prefrontal cortex is 30% higher than that in the left dorsolateral prefrontal cortex, it corresponds to a state of stress.

[0053] As an example, the weighting factor ranges from [0, 1.5]. For instance, a weighting factor of 1.5 corresponds to a state of deep relaxation, a weighting factor of 1 corresponds to a state of pleasure, and a weighting factor of 0 corresponds to a state of stress. However, this example is merely illustrative and should not be construed as a limitation imposed on this application.

[0054] Then, if the score A is greater than the first score threshold, it is determined to be the second lactation state; if the score A is less than the first score threshold but greater than the second score threshold, it is determined to be the first lactation state.

[0055] In other embodiments, the control module can process various types of physiological parameter information through a pre-trained lactation status prediction model to obtain the lactation status.

[0056] Specifically, the control module can calculate the rate of change of each type of physiological parameter in each acquisition cycle based on the physiological parameter information collected in each acquisition cycle, and then input the rate of change of each type of physiological parameter in the current acquisition cycle and the previous n acquisition cycles into the lactation prediction model to obtain the lactation status.

[0057] The lactation status prediction model can be constructed using machine learning models, such as decision trees, support vector machines, and neural networks. In this embodiment, the lactation status prediction model can be pre-trained as follows: Data such as the rate of change of various types of physiological parameters and the actual lactation status are collected within a preset historical time period. The rate of change of various types of physiological parameters within the preset historical time period is used as the basic data for constructing training samples, and the actual lactation status is set as the label of the training samples. Subsequently, the constructed training samples are input into the pre-built machine learning model for training until a preset training iteration stopping condition is met, thus obtaining the lactation status prediction model.

[0058] S202, the operation of the breast pump is controlled based on the lactation status.

[0059] In some embodiments, if the lactation state switches from a first lactation state to a second lactation state, the operating mode of the breast pump is adjusted from the first operating mode to a second operating mode that matches the second lactation state. The first operating mode corresponds to the first lactation state, and the second operating mode corresponds to the second lactation state. It should be noted that this application does not limit the first and second operating modes. For example, the first operating mode can be a stimulation mode, and the second operating mode can be a milk expression mode, or the second operating mode can be both a stimulation mode and a massage mode.

[0060] In some other embodiments, S202 may include: if the lactation state is a first lactation state, then detecting whether the breast pump is being worn; if the breast pump is being worn, then controlling the breast pump to operate in lactation mode, wherein the first lactation state represents a lactation preparation state.

[0061] Specifically, a wear detection module can be integrated into the wearing contact area of ​​the breast pump to detect whether the user is wearing the breast pump. This detection module can be implemented using a pressure sensor, a capacitive sensor, or an infrared sensor. A pressure sensor detects changes in pressure between the breast and the pump cup; when the pressure value exceeds a preset value, it determines that the breast pump is being worn. A capacitive sensor utilizes the capacitance characteristics of the human body; changes in capacitance during wear trigger detection. An infrared sensor detects whether the breast has entered the pump cup through infrared reflection.

[0062] More specifically, when the breast pump is in sleep mode, if it detects that the user is in the first lactation state and the breast pump is being worn, the breast pump is woken up and controlled to work in lactation mode.

[0063] This embodiment takes into account the intelligent needs of breastfeeding mothers for breast pumps in some specific application scenarios. For example, breastfeeding mothers expect the breast pump to actively monitor the lactation status and perform the milk pumping operation while they are sleeping. In this way, even if the breastfeeding mother enters a sleep state, the breast pump can actively monitor the user's physiological state with the help of monitoring equipment, and automatically perform the lactation function when it is confirmed that the lactation conditions are met.

[0064] In an exemplary scenario, a breastfeeding mother puts on a breast pump before bed, waiting for milk to come in. During a preset period of operation, the pump's control module continuously communicates with a monitoring device to detect the user's milk production status. If the user has not yet entered the first milk production state within the preset period, the pump is switched to sleep mode to reduce power consumption. It should be noted that in sleep mode (also known as standby mode), most functional modules in the pump cease operation, but the power system (such as a built-in relay or power module) continues to power the control module. The control module can still communicate with the monitoring device and respond to data sent by the device, executing tasks according to a preset program. When the breastfeeding mother enters sleep mode, the control module continues to communicate with the monitoring device, which could be a smartwatch worn by the mother or a pre-installed video surveillance system in the room. Taking a video surveillance system as an example, the control module acquires image data of the breastfeeding mother through the video surveillance system and uses image analysis technology to extract key physiological parameters such as the user's blood pressure, blood oxygen saturation, and respiratory rate from the images. After obtaining various types of physiological parameters such as the breastfeeding mother's blood pressure, blood oxygen, and respiratory rate, the module analyzes this information. If the analysis results determine that the breastfeeding mother is in the first lactation state, the breast pump is activated and controlled to operate in lactation mode. During the operation of the breast pump in lactation mode, the module continuously monitors changes in the breastfeeding mother's physiological parameters. If abnormalities are detected in the breastfeeding mother's physiological parameters (e.g., the rate of change in blood pressure exceeds a preset abnormal change threshold), the module reduces the suction power of the breast pump or stops operating until the target user's physiological parameters meet the preset conditions. Then, the breast pump is controlled to operate in lactation mode, or the breast pump is restarted and then operated in lactation mode.

[0065] In other implementations, if the lactation state is detected as the first lactation state and the breast pump is not being worn, a lactation preparation prompt message is generated and sent to the user. The user can be a smartwatch or a specific application (APP) on a mobile device that is linked to the breast pump. The lactation preparation prompt message can be expressed in at least one way: text or voice. For example, if the user is detected to be in the first lactation state and the breast pump is not being worn, the specific application can push a text message saying "You are about to lactate, please wear the breast pump" and / or generate a voice message saying "You are about to lactate, please wear the breast pump."

[0066] Furthermore, after controlling the breast pump to operate in the first working mode, if it is detected that the lactation state has switched from the first lactation state to the second lactation state, the working mode of the breast pump is adjusted to the second working mode.

[0067] In this embodiment, the control module acquires the user's physiological parameter information and adaptively adjusts the working mode, parameters, and status of the breast pump based on this information. As a result, the user does not need to actively adjust the status (e.g., adjust the breathing mode) based on the current physiological parameter information. Instead, the breast pump is adjusted to assist the user in efficiently expressing milk, thus improving the user experience.

[0068] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the breast pump control method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0069] This application also provides a breast pump control device, which includes: The acquisition module is used to acquire the user's physiological parameter information sent by the monitoring device; The control module is used to control the breast pump based on physiological parameter information.

[0070] The breast pump control device provided in this application adopts the breast pump control method in the above embodiments. Compared with the prior art, the beneficial effects of the breast pump control device provided in this application are the same as those of the breast pump control method provided in the above embodiments, and other technical features in the breast pump control device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0071] This application provides an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the breast pump control method of the above embodiments.

[0072] Accordingly, Figure 3 A schematic diagram of the structure of an electronic device according to an embodiment of this application is shown. Figure 3 As shown, the electronic device of this embodiment includes: at least one processor 30 ( Figure 3 (Only one is shown) a processor, a memory 31, and a computer program 32 stored in the memory 31 and executable on the at least one processor 30, wherein the processor 30 executes the computer program 32 to implement the steps in any of the above method embodiments.

[0073] Those skilled in the art will understand that Figure 3 This is merely an example of an electronic device and does not constitute a limitation on electronic devices. It may include more or fewer components than shown in the illustration, or combinations of certain components, or different components. For example, it may also include input / output devices, network access devices, etc.

[0074] The processor can be a control module inside the breast pump. The processor 30 can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0075] In some embodiments, the memory 31 may be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. In other embodiments, the memory 31 may be an external storage device of the electronic device 3, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 3. Furthermore, the memory 31 may include both internal and external storage units of the electronic device 3. The memory 31 is used to store the operating system, applications, bootloader, data, and other programs, such as the program code of the computer program. The memory 31 can also be used to temporarily store data that has been output or will be output.

[0076] The electronic device provided in this application employs the breast pump control method described in the above embodiments. Compared with the prior art, the beneficial effects of the electronic device provided in this application are the same as those of the breast pump control method provided in the above embodiments, and other technical features of the breast pump are the same as those disclosed in the method of the previous embodiment, and will not be repeated here.

[0077] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0078] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0079] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the breast pump control method in the above embodiments.

[0080] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0081] The aforementioned computer-readable storage medium may be included in an electronic device or may exist independently without being assembled into an electronic device.

[0082] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0083] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0084] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0085] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., a computer program) for executing the above-described breast pump control method. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the breast pump control method provided in the above embodiments, and will not be repeated here.

[0086] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the breast pump control method described above.

[0087] Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the breast pump control method provided in the above embodiments, and will not be repeated here.

[0088] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A breast pump control method, characterized in that, The method includes: Acquire the user's physiological parameter information sent by the monitoring equipment; The breast pump is controlled to operate based on the physiological parameter information.

2. The breast pump control method as described in claim 1, characterized in that, The acquisition of user physiological parameter information sent by the monitoring device includes: The physiological parameter information is obtained through an external contact monitoring device and / or an external non-contact monitoring device that communicates with the breast pump.

3. The breast pump control method according to claim 2, characterized in that, The external contact monitoring device includes at least one of the following: smartwatch, smart ring, smart neckband device, smart headband device, and wearable patch; The external non-contact monitoring device includes at least one of a radar wave device, an electroencephalogram (EEG) detection device, and an imaging device.

4. The breast pump control method according to any one of claims 1 to 3, characterized in that, The physiological parameters include at least one of heart rate, blood pressure, blood oxygen, respiratory rate, and electroencephalogram (EEG).

5. The breast pump control method according to any one of claims 1 to 3, characterized in that, The process of controlling the breast pump based on the physiological parameter information includes: Based on the physiological parameter information, adjust at least one of the following working modes, working parameters, power on, power off, sleep mode, start working, and pause working of the breast pump.

6. The breast pump control method according to any one of claims 1 to 3, characterized in that, The process of controlling the breast pump based on the physiological parameter information includes: The user's lactation status is determined based on the physiological parameter information; The breast pump is controlled to operate based on the lactation status.

7. The breast pump control method as described in claim 6, characterized in that, The physiological parameter information includes various types of physiological parameter information, and determining the user's lactation status based on the physiological parameter information includes: The lactation status is determined by integrating multiple types of physiological parameter information.

8. The breast pump control method as described in claim 7, characterized in that, The determination of the lactation status by integrating multiple types of physiological parameter information includes: For each acquisition cycle, calculate the rate of change of each type of physiological parameter value in the current acquisition cycle; Based on the rate of change of each type of physiological parameter in the current acquisition cycle, determine the weighting factor of each type of physiological parameter in the current acquisition cycle. The rate of change of each type of physiological parameter value in the current collection period is weighted and summed with the weighting factor of each type of physiological parameter to obtain a state score, and the lactation state is determined based on the state score.

9. The breast pump control method as described in claim 6, characterized in that, The method further includes: If the lactation status is the first lactation status, then a lactation preparation prompt message is generated and fed back to the user terminal, wherein the first lactation status represents the lactation preparation status.

10. A breast pump control device, characterized in that, include: The acquisition module is used to acquire the user's physiological parameter information sent by the monitoring device; The control module is used to control the breast pump to operate based on the physiological parameter information.

11. An electronic device, characterized in that, The electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the breast pump method as claimed in any one of claims 1 to 9.

12. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the breast pump control method as described in any one of claims 1 to 9.

13. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the breast pump control method as described in any one of claims 1 to 9.

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