Emotion monitoring optimization method and device based on bio-internal electrical impedance and electronic equipment

Abstract

The application provides an emotion monitoring optimization method and device based on bio-internal electrical impedance and electronic equipment, and the method comprises the following steps: acquiring basic parameters of a person to be measured; inputting the basic parameters of the person to be measured into a bio-internal electrical impedance database to obtain an initial pain current value; inputting the initial pain current value into a test device to obtain a target current value through testing; inputting the target current value into a monitoring device to obtain bio-internal electrical impedance of the person to be measured; and determining emotion changes of the person to be measured through changes of the bio-internal electrical impedance. The application can effectively control the current through the human body, accurately monitor the bio-internal electrical impedance of the human body, and further monitor the emotion changes of the human body.

Description

Technical Field

[0001] This invention relates to the field of human data monitoring technology, and in particular to an optimized method, device, and electronic device for emotion monitoring based on biological internal electrical impedance. Background Technology

[0002] Bioelectrical impedance can monitor muscle movement. When our emotions change, such as when we are nervous, our hands may twitch involuntarily. At this time, our bioelectrical impedance will also change accordingly. Therefore, we can monitor changes in a person's emotions by observing changes in bioelectrical impedance.

[0003] Current technology commonly uses skin electrical impedance to monitor mood changes. The most common method involves observing changes in sweat gland impedance to infer mood shifts. A drawback of this method is that sweating is accompanied by muscle twitching, which alters internal resistance, making it difficult to distinguish between changes in internal resistance and skin impedance. Therefore, we propose using changes in biological internal impedance to monitor mood changes, specifically, as described above, using involuntary muscle twitching. The advantage of this method is that it allows for the scientific selection of monitoring locations in areas of the body with low sweating but high muscle activity.

[0004] However, a major problem exists in the use of bioelectrical impedance analysis (BIA): testing BIA requires a stimulation current that causes a stinging sensation, which in turn leads to nervous tension, hand twitching, and changes in the body's internal resistance. In this situation, we cannot determine whether the change in internal resistance is caused by emotional changes or by the stimulation current. Summary of the Invention

[0005] The purpose of this invention is to provide an optimized method, device, and electronic device for emotion monitoring based on bioelectrical impedance, which can effectively control the current passing through the human body, accurately monitor the human body's bioelectrical impedance, and thus monitor changes in human emotions.

[0006] This invention provides an optimized method for emotion monitoring based on biological internal electrical impedance, the method comprising: Obtain the basic parameters of the person to be measured; The basic parameters of the person to be measured are input into the bioelectrical impedance database to obtain the predicted initial pain current value; The predicted initial pain current value is input into the testing device, and the target current value is obtained through testing. The target current value is input into the monitoring device to obtain the bioelectrical impedance of the person to be measured; The emotional changes of the person being measured are determined by the changes in the bioelectrical impedance.

[0007] In one optional implementation, the step of inputting the predicted initial pain current value into the testing device and obtaining the target current value through testing includes: The testing equipment is used to determine whether the person being measured experiences pain. If the input of the predicted initial pain current value causes the person being measured to feel pain, then the predicted initial pain current value is reduced until the person being measured feels no pain. If the person being measured does not experience pain after the initial predicted pain current value is input, the initial predicted pain current value is increased until the person being measured experiences pain. The current value at the critical point is determined to be the target current value.

[0008] In one alternative implementation, the basic parameters of the person being measured include: age, gender, ethnicity, and arm width.

[0009] In one optional implementation, the method for optimizing emotion monitoring based on biological internal electrical impedance includes: the target current value is less than the human body's pain current.

[0010] In one optional implementation, inputting the target current value into a monitoring device to obtain the bioelectrical impedance of the person to be measured includes: The bioelectrical impedance of the person being measured is calculated by measuring the voltage during the change from the predicted initial pain current to the target current value.

[0011] This invention also provides an optimized emotion monitoring device based on biological internal electrical impedance, the device comprising: The acquisition module is used to acquire the basic parameters of the person being measured. The prediction module is used to input the basic parameters of the person to be measured into the bioelectrical impedance database to obtain the predicted initial pain current value; The determination module is used to input the predicted initial pain current value into the test device and obtain the target current value through testing; The measurement module is used to input the target current value into the monitoring device to obtain the bioelectrical impedance of the person to be measured; An emotion monitoring module is used to determine the emotion changes of the person being measured by changes in the bioelectrical impedance.

[0012] In one optional implementation, the measurement module is specifically used for: The bioelectrical impedance of the person being measured is calculated by measuring the voltage during the change from the predicted initial pain current to the target current value.

[0013] This invention also provides an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, they perform steps in any of the possible implementations of the above-described location detection method or the above-described optimized method for emotion monitoring based on biological internal electrical impedance.

[0014] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the above-described emotion monitoring optimization method based on a bioelectrical impedance database, or any of the possible implementations of the above-described emotion monitoring optimization method based on bioelectrical impedance.

[0015] This invention also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of any of the above-described location detection method or the above-described emotion monitoring optimization method based on a bioelectrical impedance database.

[0016] This invention provides an optimized method, device, and electronic device for emotion monitoring based on bioelectrical impedance. The method includes: acquiring basic parameters of the subject; inputting the basic parameters into a bioelectrical impedance database to obtain a predicted initial pain current value; inputting the predicted initial pain current value into a testing device to obtain a target current value; inputting the target current value into a monitoring device to obtain the subject's bioelectrical impedance; and determining the subject's emotional changes through changes in bioelectrical impedance. This method can effectively control and alter the current flowing through a person's limbs, accurately monitor human bioelectrical impedance, and thus monitor emotional changes. Attached Figure Description

[0017] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating an optimized method for emotion monitoring based on biological internal electrical impedance, provided in an embodiment of the present invention; Figure 2This is a schematic diagram of the structure of an optimized emotion monitoring device based on biological internal electrical impedance provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the human body electrical impedance measurement method in an optimized method for emotion monitoring based on biological internal electrical impedance provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] The main vital signs generally include body temperature, heart rate, respiratory rate, and blood pressure. Among these, heart rate is a key indicator for measuring a person's physiological and psychological state; changes in heart rate can reflect significant physical or mental changes. The process by which the heart pumps deoxygenated blood from the bloodstream through the lungs and freshly oxidized blood into the body via the aorta is called the cardiac cycle, and heart rate is the frequency of this cardiac cycle. Methods for measuring heart rate mainly include electrocardiography (ECG) and pulse wave recording. The former requires electrodes to be attached to the chest of the person being measured, while the latter requires optical or pressure sensors attached to the skin. Respiratory rate is also an important vital sign. Through respiration, a person obtains sufficient oxygen and expels carbon dioxide to sustain life, and abnormal breathing is a symptom of many diseases. Respiratory rate can be measured by measuring the airflow through the mouth and nose during respiration or by measuring the expansion and contraction of the chest and abdomen during respiration. Common methods, such as electrical impedance plethysmography (EIP) and strain measurement, require electrodes or strain sensors attached to the chest and abdomen.

[0021] Bioelectrical Impedance Analysis (BIA) is a non-invasive bio-detection technology that utilizes the principle that blood, muscle, and other tissues in the human body have good electrical conductivity, while fat has almost no electrical conductivity. It involves passing an extremely weak, harmless current through the body and measuring the body's electrical impedance value using precise methods, thereby obtaining information about the body's biological tissues. This technology has been widely used in clinical medicine worldwide. The biological tissue information obtained includes body fat percentage, visceral fat, skeletal muscle mass, body water, bone mineral density, basal metabolic rate, weight, and body mass index.

[0022] Bioelectrical impedance analysis (BIA) can monitor muscle movement. As described above, when our emotions change, such as when we are nervous, our hands may twitch involuntarily, and our bioelectrical impedance will also change accordingly. Therefore, we can monitor changes in a person's emotions by observing changes in bioelectrical impedance. However, there is a major problem with the use of bioelectrical impedance analysis: a stimulation current is required to test bioelectrical impedance. This stimulation current causes pain, which in turn causes nervous tension and hand twitching, altering the bioelectrical impedance value. In this situation, we cannot determine whether the change in bioelectrical impedance is caused by the change in the person's emotions or by the stimulation current. Therefore, the purpose of this invention is to provide a current value that controls the stimulation current below the human body's pain sensation current. This way, the measured changes in bioelectrical impedance can be guaranteed not to be caused by muscle twitching due to pain.

[0023] This invention utilizes bioelectrical impedance in wearable devices to detect changes in a person's emotional state. Due to user differences, when a person's emotional state changes, our database can be used to estimate the change in bioelectrical impedance to detect the user's emotional changes.

[0024] To facilitate understanding of this embodiment, the bioelectrical impedance-based emotion monitoring optimization method disclosed in this embodiment will first be described in detail.

[0025] This invention provides an optimized method for emotion monitoring based on bioelectrical impedance. The bioelectrical impedance used in this invention refers to the electrical impedance within the human body, or simply internal impedance (excluding electrode-skin contact impedance). This method can be executed by an electronic device with data analysis and processing capabilities. It is suitable for monitoring human emotions using wearable devices, as changes in human emotions are correlated with corresponding changes in bioelectrical impedance. See also... Figure 1 The diagram shows a flowchart of an optimized emotion monitoring method based on a bioelectrical impedance database. This method first uses relevant raw human data to perform the following steps S101-S105 to obtain the human body's bioelectrical impedance: Step S101: Obtain the basic parameters of the person to be measured.

[0026] The first step in this invention is to acquire basic human parameters, including multiple human body parameters, to establish a bioelectrical impedance database. This database is then used to predict the initial pain current required for subsequent assessment.

[0027] Optionally, the basic parameters of the person to be measured in this embodiment of the invention specifically include: age, gender, ethnicity, and arm width. Specifically, the minimum pain current values ​​of different age groups, genders, ethnicities, and arm widths are collected and a database is established. During use, the user inputs information such as age, gender, ethnicity, and arm width through a Bluetooth-connected smart terminal device (such as a mobile phone) in a portable medical device or wearable device, and submits the information remotely.

[0028] The remote database server calculates the minimum pain current corresponding to the input information using recommendation algorithms (such as clustering algorithms, least squares methods, etc.) and sends the result back to the smart terminal. Finally, the smart terminal sets the minimum pain current of the medical device or wearable device via Bluetooth.

[0029] Step S102: Input the basic parameters of the person to be measured into the bioelectrical impedance database to obtain the predicted initial pain current value.

[0030] In this embodiment of the invention, the predicted initial pain current suitable for the human body is obtained by analyzing and calculating a database. The predicted initial pain current is the minimum current value that will not cause pain to the participants in the measurement, which is obtained by machine calculation. The database inputs the initial human body data into a database that can perform data analysis and processing to obtain the predicted initial pain current.

[0031] S103: Input the predicted initial pain current value into the test device, and obtain the target current value through testing.

[0032] Because the predicted initial pain current value obtained through step S102 is only an estimated range, it is not universally applicable in practice. The predicted initial pain current value needs to be adjusted to obtain the target current, which is the maximum value of the current that will not cause pain in a person.

[0033] Optionally, the step of inputting the predicted initial pain current value into the testing device to obtain the target current value includes: The testing equipment is used to determine whether the person being measured experiences pain. If the input of the predicted initial pain current value causes pain in the person being measured, then the predicted initial pain current value is reduced until the pain in the person being measured disappears. If the person being measured does not feel pain after inputting the initial predicted pain current value, increase the initial predicted pain current value until the person being measured feels pain. The current value at the critical point is determined to be the target current value.

[0034] When conducting human testing with testing equipment, we start with the minimum value of the predicted initial pain current as the initial current value, and then gradually increase the current value until the human body feels pain. If pain is felt on the first test, the current is gradually reduced until the pain disappears. This determines the target current value, which is the maximum value of the current that can be input into the human body without causing pain.

[0035] In this embodiment of the invention, the determination of the target current value is based on the prediction of the initial pain sensation current value.

[0036] Step S104: Input the target current value into the monitoring device to obtain the bioelectrical impedance of the person to be measured.

[0037] Optionally, the target current value can be less than the pain current felt by the human body.

[0038] Because this embodiment of the invention ensures that the target current, which is the human body's pain-sensing current, will not cause pain, the muscle changes in the body at this time must be caused by emotional changes. Based on this, inputting the target current value into the monitoring device can obtain the bioelectrical impedance of the person being measured.

[0039] For details, see Figure 2 Let ZG represent the internal resistance of the human body, which is also the resistance we need to measure. ZE1 to ZE4 represent skin resistance. Here, skin resistance is much greater than the internal resistance of the human body, so IVM is almost equal to 0. UVM measures the resistance of UG, and IM is the input current we need to reduce. When emotions remain unchanged, IM does not cause pain. As IM gradually increases, UVM increases linearly with IM. When IM exceeds the pain current value and continues to increase, the current stimulation causes muscle tension, resulting in changes in bioelectrical impedance. The growth of UVM loses its linearity. When IM continues to increase to exceed the maximum pain current value, muscle tension reaches its maximum, and the growth of UVM returns to linearity. Based on these characteristics, the pain current value can be experimentally determined, and the stimulation current IM can be controlled below the pain current. This ensures that changes in bioelectrical impedance caused by emotional changes are not affected by IM.

[0040] Step S105: Determine the emotional changes of the person being measured by changes in bioelectrical impedance.

[0041] In this embodiment of the invention, the internal resistance of the human body is measured. The human body resistance consists of skin resistance and internal resistance. Compared with skin resistance, internal resistance is more stable. Skin resistance is affected by environmental temperature and other factors. Therefore, this invention introduces the method of judging changes in human emotions by measuring internal resistance.

[0042] This invention provides an optimized method for emotion monitoring based on bioelectrical impedance. The method involves: acquiring the basic parameters of the subject; inputting these parameters into a bioelectrical impedance database to obtain a predicted initial pain current value; inputting this predicted initial pain current value into a testing device to obtain a target current value; inputting the target current value into a monitoring device to obtain the subject's bioelectrical impedance; and determining the subject's emotional changes through changes in bioelectrical impedance. This invention effectively controls the current flowing through the body's limbs, accurately monitors human bioelectrical impedance, and thus monitors emotional changes.

[0043] Furthermore, we can integrate our bioelectrical impedance analysis (BIA) technology into wearable devices to detect changes in a user's emotional state by measuring variations in their bioelectrical impedance. Because of user variability, we again use our database to estimate individual changes in bioelectrical impedance when emotional states change. People with physical disabilities can also modify their limb bioelectrical impedance to actively control or remotely control prostheses or devices for self-service.

[0044] Corresponding to the above-mentioned method for optimizing emotion monitoring based on bioelectrical impedance, this embodiment of the invention also provides an optimization device for emotion monitoring based on bioelectrical impedance. This device is used to effectively control the current passing through the state of a person's limbs, accurately monitor the bioelectrical impedance of the human body, and thus monitor changes in a person's emotions.

[0045] See Figure 3 The diagram shows a structural schematic of an optimized emotion monitoring device based on bioelectrical impedance. The device includes: The acquisition module 3001 is used to acquire the basic parameters of the person to be measured. Prediction module 3002 is used to input the basic parameters of the person to be measured into the bioelectrical impedance database to obtain the predicted initial pain current value; The determination module 3003 is used to input the predicted initial pain current value into the test device and obtain the target current value through testing. Measurement module 3004 is used to input the target current value into the monitoring device to obtain the bioelectrical impedance of the person being measured; The emotion monitoring module 3005 is used to determine the emotion changes of the person being measured by changes in bioelectrical impedance.

[0046] Optionally, the measurement module 3004 is specifically used for: The bioelectrical impedance of the person being measured is calculated by measuring the voltage of the target current value.

[0047] This invention provides an optimized emotion monitoring device based on bioelectrical impedance. The device acquires basic parameters of the subject; inputs these parameters into a bioelectrical impedance database to obtain a predicted initial pain current value; inputs this predicted initial pain current value into a testing device to obtain a target current value; inputs the target current value into a monitoring device to obtain the subject's bioelectrical impedance; and determines the subject's emotional changes by monitoring changes in bioelectrical impedance. This invention can effectively control and alter the current flowing through a person's limbs, accurately monitor human bioelectrical impedance, and thus monitor emotional changes.

[0048] The device provided in this embodiment has the same implementation principle and technical effect as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiment.

[0049] See Figure 4 The present invention also provides an electronic device 400, including: a processor 404, a memory 401, a bus 402 and a communication interface 403, wherein the processor 404, the communication interface 403 and the memory 401 are connected through the bus 402; the processor 404 is used to execute executable modules, such as computer programs, stored in the memory 401.

[0050] The memory 401 may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 403 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc.

[0051] Bus 402 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0052] The memory 401 is used to store programs. After receiving an execution instruction, the processor 404 executes the program. The method executed by the apparatus of the process definition disclosed in any of the foregoing embodiments of the present invention can be applied to the processor 404, or implemented by the processor 404.

[0053] Processor 404 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 404 or by instructions in software form. The processor 404 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 401, and processor 404 reads the information from memory 401 and, in conjunction with its hardware, completes the steps of the above method.

[0054] This invention also provides a computer-readable storage medium storing a computer program. When a processor runs the computer program, it executes the seismic image noise suppression method described in the preceding method embodiments. The computer-readable storage medium includes various media capable of storing program code, such as a USB flash drive, portable hard drive, read-only memory (ROM), RAM, magnetic disk, or optical disk.

[0055] In all examples shown and described herein, any specific values ​​should be interpreted as merely exemplary and not as limitations; therefore, other examples of exemplary embodiments may have different values.

[0056] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of the present invention. 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 marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive 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 action, or using a combination of dedicated hardware and computer instructions.

[0057] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0058] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0059] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An optimized method for emotion monitoring based on biological internal electrical impedance, characterized in that, include: Obtain the basic parameters of the person to be measured; wherein, the basic parameters of the person to be measured include age, gender, race, and arm width; The basic parameters of the person to be measured are input into the bioelectrical impedance database to obtain the predicted initial pain current value; The predicted initial pain current value is input into the testing device, and the target current value is obtained through testing; wherein, the predicted initial pain current is the minimum current value that will not cause pain to the person participating in the measurement, calculated by the machine based on the initial human body data. The target current value is input into the monitoring device to obtain the bioelectrical impedance of the person to be measured; wherein, the target current value is the maximum value of the current that will not cause pain in a person; The emotional changes of the person being measured are determined by the changes in the bioelectrical impedance. The step of inputting the predicted initial pain current value into the testing device and obtaining the target current value through testing includes: The testing equipment is used to determine whether the person being measured experiences pain. If the input of the predicted initial pain current value causes the person being measured to feel pain, then the predicted initial pain current value is reduced until the person being measured feels no pain. If the person being measured does not experience pain after the initial predicted pain current value is input, the initial predicted pain current value is increased until the person being measured experiences pain. The current value at the critical point is determined to be the target current value.

2. The optimized method for emotion monitoring based on biological internal electrical impedance as described in claim 1, characterized in that, include: The target current value is less than the pain current felt by the human body.

3. The optimized method for emotion monitoring based on biological internal electrical impedance as described in claim 1, characterized in that, Inputting the target current value into the monitoring device, the bioelectrical impedance of the person to be measured is obtained, including: The bioelectrical impedance of the person being measured is calculated by measuring the voltage of the target current value.

4. An optimized emotion monitoring device based on bioelectrical impedance, characterized in that, The device includes: The acquisition module is used to acquire the basic parameters of the person to be measured; wherein, the basic parameters of the person to be measured include age, gender, race and arm width; The prediction module is used to input the basic parameters of the person to be measured into the bioelectrical impedance database to obtain the predicted initial pain current value; wherein, the predicted initial pain current is the minimum current value that will not cause pain to the person participating in the measurement, calculated by the machine based on the initial human data. The determination module is used to input the predicted initial pain current value into the test device and obtain the target current value through testing; The measurement module is used to input the target current value into the monitoring device to obtain the bioelectrical impedance of the person to be measured; wherein, the target current value is the maximum value of the current that will not cause pain in a person; An emotion monitoring module is used to determine the emotion changes of the person being measured by changes in the bioelectrical impedance. The determining module is specifically used for: judging whether the person being measured experiences pain through the testing equipment; if the input of the predicted initial pain current value causes the person being measured to experience pain, then the predicted initial pain current value is reduced until the person being measured experiences no pain; if the person being measured does not experience pain after the input of the predicted initial pain current value, then the predicted initial pain current value is increased until the person being measured experiences pain; and determining the current value at the critical point as the target current value.

5. The emotion monitoring optimization device based on bioelectrical impedance according to claim 4, characterized in that, The measurement module is specifically used for: The bioelectrical impedance of the person being measured is calculated by measuring the voltage during the change from the predicted initial pain current to the target current value.

6. An electronic device comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, characterized in that, When the processor executes the computer program, it implements the emotion monitoring optimization method based on biological internal electrical impedance as described in any one of claims 1-3.

7. A computer-readable storage medium storing a computer program thereon, characterized in that, The computer program, when executed by the processor, performs the emotion monitoring optimization method based on biological internal electrical impedance as described in any one of claims 1-3.

8. A computer program product comprising computer instructions, characterized in that, When the computer instructions are executed by the processor, they implement the steps of the emotion monitoring optimization method based on biological internal electrical impedance as described in any one of claims 1 to 3.

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