Quantitative ejaculation threshold biofeedback training system and device based on vibration acceleration

Abstract

The application discloses a quantitative ejaculation threshold biological feedback training system and device based on vibration acceleration, and belongs to the technical field of portable physiological training equipment. The quantitative ejaculation threshold biological feedback training system based on vibration acceleration comprises a three-axis acceleration acquisition module, a vibration excitation module, a Bluetooth transmission module, a data processing algorithm module, a threshold quantization calculation module, a self-adaptive training regulation module, a safety protection control module and a data storage and analysis module. The application solves the problems that the prior art cannot realize objective quantitative detection of the ejaculation threshold, lacks self-adaptive adjustment capability, lacks closed-loop biological feedback control logic and has poor safety, and can quantize personal vibration tolerance threshold, reduce detection error, adaptively adjust vibration parameters, build a full-automatic biological feedback closed loop, support a three-level training paradigm, a multi-layer safety protection and a vibration reduction structure, avoid excessive stimulation and relieve hand fatigue.

Description

Technical Field

[0001] This invention relates to the field of portable physiological training equipment technology, specifically to a biofeedback training system and device for ejaculation threshold based on vibration acceleration. Background Technology

[0002] High sensitivity of the dorsal nerve endings in the penis and insufficient tolerance to short-term vibration stimulation are physiological, non-disease-related issues leading to weak ejaculation control in men. Population survey data shows that 31.7% of men aged 18-45 in China have this type of physiological tolerance problem. Among existing non-medical interventions, low-frequency gradient vibration desensitization training is a recognized safe and non-invasive assisted tolerance training program. The mainstream products on the market are divided into two categories: fixed desktop vibration devices and integrated handheld vibration devices.

[0003] However, existing handheld or portable vibration training devices on the market have the following technical shortcomings: (1) Unable to achieve objective quantitative detection of ejaculation threshold: Existing equipment relies solely on the user's subjective feelings to judge the sensitivity, lacks objective physical parameters to support it, and the detection data is highly random and has low accuracy, making it impossible to form an individual-specific threshold data model; (2) Fixed training parameters and no adaptive adjustment capability: Traditional training equipment is an open-loop vibration output with fixed power and fixed frequency. It cannot dynamically adjust the vibration output power and acceleration parameters according to the user's real-time physiological tolerance state. The training mode is monotonous and has poor adaptability. (3) Lack of closed-loop biofeedback control logic: The existing technology does not have an "acceleration-time correlation threshold calculation model", and cannot realize a fully automatic closed-loop training system of "parameter acquisition → threshold calculation → dynamic parameter tuning → training iteration"; (4) Poor safety and lack of graded training paradigm: Traditional equipment lacks a sound safety protection mechanism, graded training paradigm, and data iteration optimization capability, and there is a risk of overstimulation during use.

[0004] Therefore, it does not meet the existing needs. In response, we have proposed a biofeedback training system and device for ejaculation threshold based on vibration acceleration quantification. Summary of the Invention

[0005] The purpose of this invention is to provide a biofeedback training system and device for ejaculation threshold quantification based on vibration acceleration. It collects vibration parameters through a suspended triaxial acceleration module, combines this with a short-time neural decay threshold model to quantify a two-dimensional tolerance threshold, and constructs a personalized dynamic threshold model to reduce detection errors. A second-order exponential smoothing anti-overshoot algorithm is employed to dynamically adjust vibration output parameters to adapt to the user's personalized tolerance needs. A fully automated closed-loop acceleration-time biofeedback system is established, connecting four major data links to eliminate manual parameter tuning. It also features a three-level standardized training paradigm and multi-layered hardware and software security protection, along with a cushioned grip structure to avoid overstimulation and alleviate hand fatigue, thus solving the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a biofeedback training system for ejaculation threshold based on vibration acceleration quantification, comprising: The triaxial acceleration acquisition module is used to acquire the vibration acceleration time-domain data output by the vibration excitation module in real time. The vibration excitation module is used to receive parameter adjustment instructions from the mobile terminal and output continuous vibration stimulation with bidirectional adjustable frequency and acceleration gradient to match the progressive training needs of human nerve desensitization. The Bluetooth transmission module is used to enable bidirectional low-latency data interaction between the terminal and the mobile device; the dual-channel emergency stop module is used for dual hardware and software emergency power failure protection. The data processing algorithm module is used to receive the raw acceleration time domain data from the triaxial acceleration acquisition module and perform data filtering, abnormal noise removal and timestamp alignment preprocessing. The threshold quantization calculation module is used to process vibration acceleration data, calculate the two-dimensional tolerance threshold, smooth vibration output, and suppress acceleration overshoot. The adaptive training control module is used to dynamically output three levels of differentiated parameter control based on the user's real-time threshold parameters. The safety protection and control module is used to coordinate and manage all safety sub-units, issue shutdown, power reduction, and audible and visual alarm commands, and complete the full-process equipment status monitoring and abnormal closed-loop handling. The data storage and analysis module is used to store the raw data of each acceleration, the user's dual tolerance thresholds, and the graded training parameters. It compares the trend of threshold changes over multiple rounds of training and outputs a report on the analysis of tolerance changes.

[0007] Preferably, the threshold quantization calculation module specifically includes: The threshold quantization unit is used to construct an acceleration-time coupled threshold function model based on the received acceleration time-domain data, and quantize and generate user-specific vibration tolerance critical threshold parameters. A modified threshold quantization unit is used to calculate the user's dual tolerance threshold by combining the short-term decay characteristics of human nerves. The overshoot prevention amplitude modulation unit is used to smooth the dynamic power switching rate, lock the 1.25g over-limit acceleration peak in real time, weaken the instantaneous vibration impact caused by power jump, and ensure smooth and stable vibration stimulation of the body surface throughout the process.

[0008] Preferably, the threshold quantization unit specifically includes: The cumulative critical criterion unit is used to perform global absolute value integration on the original vibration acceleration time-domain signal. The calculation formula is as follows: in, The critical cumulative tolerance threshold is used to characterize the user's ability to withstand continuous cumulative vibration, where a(t) is the real-time vibration acceleration (unit: g). This is the extremely short duration corresponding to that instant; The peak critical criterion unit is used to extract the real-time maximum acceleration to obtain the instantaneous peak tolerance threshold. The specific calculation formula is as follows: in, The critical acceleration peak value (unit: g) is used to characterize the user's tolerance to instantaneous high-intensity vibrations.

[0009] Preferably, the implementation process of the adaptive hierarchical training module specifically includes: Threshold matching hierarchy: based on and The system automatically divides the training into three initial training levels: adaptation, challenge, and improvement, using dual thresholds. Dynamic parameter output: During the adaptation period, output 0.6-0.8 times the dual-threshold vibration stimulation, with the upper limit of single cumulative stimulation controlled at 0.7 times. During the challenge period, the output fluctuates dynamically within a range of ±10% of the threshold, while during the improvement period, a steady-state constant vibration output is adopted. Training data monitoring: Collect the coefficient of variation of acceleration for each training session, and record the user's complete endurance time and abnormal feedback data; Level Iteration and Upgrade: When the coefficient of variation is ≤3% for 5 consecutive training sessions and there is no abnormal feedback, the dual thresholds are simultaneously increased by 5%-10% and the training is switched to a higher level.

[0010] Preferably, the implementation process of the triaxial acceleration acquisition module specifically includes: Receive the zero-point calibration command issued by the main control MCU to eliminate the initial offset error caused by the resonance of the base when the equipment is stationary, and continuously capture the original waveform of the vibration of the hard shell of the cylinder at a fixed sampling frequency of 150Hz. Remove discrete noise of ±0.15g caused by random hand tremors and retain effective physiological vibration acceleration data; Standardized acceleration time-series data is synchronously uploaded to the mobile threshold quantization calculation module via Bluetooth link.

[0011] Preferably, the security protection control module specifically includes: The duration protection subunit is used to trigger automatic shutdown when a single training session lasts ≥20 minutes. The communication protection subunit is used to optimize the disconnection detection logic. When the Bluetooth disconnection lasts for ≥1.2s, the vibration power is reduced to 18% of the rated value and an audible and visual alarm is triggered. The over-limit protection subunit is used to cut off the motor output within 0.02s when the instantaneous acceleration is ≥1.4 times the target threshold; The over-temperature protection subunit is used to gradually reduce the vibration power when the contact temperature of the inner liner surface is ≥37.5℃.

[0012] Preferably, the implementation process of the data storage and analysis module specifically includes: Collect historical threshold data of a large number of desensitized users of the same age and body type, update the standardized threshold database of the population, and at the same time receive raw acceleration data of each time, user dual tolerance thresholds, graded training parameters uploaded by mobile devices and complete persistent cloud storage. Receives initial detection thresholds and human vital signs data uploaded by users from mobile devices; The baseline offset of an individual is calculated by comparing it with the group mean, and a threshold correction compensation coefficient is generated. At the same time, the threshold change trend of the user in multiple rounds of training is compared to quantify the improvement of neural tolerance. The corrected baseline parameters are sent back to the mobile device to update the local threshold calculation benchmark, compress the initial detection deviation to within 3%, and output a report on the user's personal tolerance change to the mobile device.

[0013] Preferably, the implementation process of the threshold quantization calculation module specifically includes: Data preprocessing involves receiving raw Bluetooth uplink acceleration data, performing low-pass filtering, timestamp alignment, and abnormal data removal to repair data gaps caused by Bluetooth packet loss. Dual threshold quantization is used to calculate A_crit and T_crit respectively through peak criterion and cumulative decay criterion, and the original decay formula is called to correct the short-term desensitization bias of the nerve. Vibration parameter control generates smooth parameter adjustment commands based on threshold results, locking in the 1.25g over-limit acceleration peak; For safety and data processing, the system invokes dual-channel emergency stop, over-temperature, and disconnection protection logic, while simultaneously archiving all training data and generating a tolerance change report.

[0014] Preferably, the implementation process of the data processing algorithm module specifically includes: It receives raw triaxial discrete acceleration data uploaded by the Bluetooth transmission module in real time and synchronously captures the data packets with their own timestamps. A second-order Butterworth low-pass filter is used to filter out high-frequency environmental noise above 20Hz and eliminate noise from hand micro-movements and electromagnetic interference from circuits. The system calibrates the timestamp offset generated by Bluetooth asynchronous transmission, unifies the global sampling timing benchmark, repairs the data gaps caused by short-term Bluetooth packet loss based on interpolation of effective data from previous and subsequent frames, and outputs a continuous standardized acceleration sequence.

[0015] A training device is used in a biofeedback training system for ejaculation threshold based on vibration acceleration quantification. It includes a rigid cylinder, a rigid cylinder cap, and a TPE inner liner. The rigid cylinder cap screws onto the rigid cylinder. A circuit board is installed inside the rigid cylinder. The TPE inner liner is detachably fitted inside the rigid cylinder. The inner wall of the rigid cylinder has locking protrusions to secure the TPE inner liner. A brushless motor is fixed to the inner rear end of the rigid cylinder via a motor mounting sleeve. A turntable and an eccentric wheel are mounted on the output end of the brushless motor via bearings. The turntable directly contacts the bottom of the TPE inner liner. Lithium batteries are installed on both sides inside the rigid cylinder. An acceleration sensor is also installed on the brushless motor. A three-axis acceleration acquisition module is fixedly installed inside the rigid cylinder. A charging contact is provided on the rear end face of the rigid cylinder. A physical emergency stop switch is provided on the outer wall. A waterproof sealing ring is provided at the joint of the rigid cylinder.

[0016] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention uses a triaxial acceleration acquisition module suspended in a rigid cylinder to acquire objective vibration acceleration time-domain data at a fixed sampling frequency. It is combined with a data preprocessing process of second-order Butterworth low-pass filtering and timestamp alignment to remove noise from hand tremors and circuit interference. By splitting the cumulative and peak values ​​into dual criteria through a threshold quantization unit and combining the human nerve short-term decay coefficient to correct the threshold, a two-dimensional user tolerance threshold profile is formed, consisting of the critical cumulative tolerance threshold and the critical acceleration peak value. This completely eliminates the single subjective feeling judgment and reduces threshold detection error. 2. This invention abandons the traditional open-loop output mode of fixed power and fixed frequency of vibration excitation module, and constructs a linkage link of three-axis acceleration acquisition, data preprocessing, threshold quantization and adaptive parameter tuning. The adaptive training control module divides into three levels of differentiated training levels: adaptation, challenge and improvement, based on real-time updated dual thresholds. The levels are matched with different acceleration fluctuation ranges and cumulative stimulation limits. The output intensity of the vibration excitation module can be dynamically adjusted according to the user's single training variation coefficient to cover the needs of users with different sensitivity and different training cycles. 3. This invention completes the cleaning of raw data through a data processing algorithm module, completes the threshold quantization calculation module to solve the threshold and smooth the vibration, iterates the training parameters through an adaptive training control module, and completes the data storage and analysis module to review the data. This forms a fully automatic closed-loop biofeedback training logic with real-time parameter acquisition, dual-dimensional threshold calculation, and adaptive adjustment of vibration parameters to multiple rounds of training iteration optimization. No manual intervention is required to modify the parameters throughout the process, thus realizing automated biofeedback training.

[0017] 4. This invention uses a safety protection control module to define quantitative response indicators such as 0.02s over-limit power failure and 1.2s disconnection power reduction, fully covering abnormal handling scenarios. At the same time, it relies on the data storage and analysis module to complete local data archiving and cloud-based group threshold comparison and calibration, correcting individual detection baseline deviations. Through a graded iteration mechanism, it avoids excessive vibration stimulation and makes up for the shortcomings of data iteration optimization. The handheld device adopts a separate structure of an outer hard cylinder and a detachable TPE inner liner. The differential wall thickness at the bottom of the inner liner forms a native buffer layer. Combined with the eccentric wheel and the vibration transmission structure at the bottom of the turntable, it avoids direct impact pain on the glans. 5. This invention uses a threshold quantization calculation module with a built-in anti-overshoot amplitude modulation unit to limit the acceleration adjustment gradient and forcibly lock instantaneous acceleration peaks above 1.25g, eliminating instantaneous vibration shocks caused by power switching, solving the sudden discomfort caused by parameter jumps in traditional equipment, and ensuring smooth and continuous vibration stimulation output throughout the entire cycle. Attached Figure Description

[0018] Figure 1 This is a block diagram of the overall hardware architecture of the system of the present invention; Figure 2 This is a flowchart illustrating the overall method steps of the present invention; Figure 3 This is a schematic diagram of the training device of the present invention; In the diagram: 1. Circuit board; 2. Motor mounting sleeve; 3. Brushless motor; 4. Lithium battery; 5. Accelerometer; 6. Eccentric wheel; 7. Bearing; 8. Turntable; 9. TPE inner liner; 10. Rigid cylinder; 11. Inner liner fixing clip protrusion; 12. Rigid cylinder cover. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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] To address the shortcomings of existing technologies, such as the inability to objectively quantify ejaculation threshold, fixed training parameters, lack of adaptive adjustment capabilities, absence of closed-loop biofeedback control logic, poor safety, and lack of a tiered training paradigm, please refer to [the relevant documentation / reference]. Figures 1-3 This embodiment provides the following technical solution: A biofeedback training system for ejaculation threshold based on vibration acceleration quantification includes: The triaxial acceleration acquisition module is used to acquire the vibration acceleration time-domain data output by the vibration excitation module in real time. The vibration excitation module is used to receive parameter adjustment instructions from the mobile terminal and output continuous vibration stimulation with bidirectional adjustable frequency and acceleration gradient to match the progressive training needs of human nerve desensitization. The Bluetooth transmission module is used to enable bidirectional low-latency data interaction between the terminal and the mobile device; the dual-channel emergency stop module is used for dual hardware and software emergency power failure protection. The data processing algorithm module is used to receive the raw acceleration time domain data from the triaxial acceleration acquisition module and perform data filtering, abnormal noise removal and timestamp alignment preprocessing. The threshold quantization calculation module is used to process vibration acceleration data, calculate the two-dimensional tolerance threshold, smooth vibration output, and suppress acceleration overshoot. The adaptive training control module is used to dynamically output three levels of differentiated parameter control based on the user's real-time threshold parameters. It corrects the output intensity of the vibration excitation module in real time through a Bluetooth communication link, forming a fully automatic closed-loop biofeedback training system of "data acquisition - threshold calculation - dynamic parameter adjustment - iterative training". The safety protection and control module is used to coordinate and manage all safety sub-units, issue shutdown, power reduction, and audible and visual alarm commands, and complete the full-process equipment status monitoring and abnormal closed-loop handling. The data storage and analysis module is used to store the raw data of each acceleration, the user's dual tolerance thresholds, and the graded training parameters. It compares the trend of threshold changes over multiple rounds of training and outputs a report on the analysis of tolerance changes.

[0021] The threshold quantization calculation module specifically includes: The threshold quantization unit is used to construct an acceleration-time coupled threshold function model based on the received acceleration time-domain data, and quantize and generate user-specific vibration tolerance critical threshold parameters. A modified threshold quantization unit is used to calculate the user's dual tolerance threshold by combining the short-term decay characteristics of human nerves. The overshoot prevention amplitude modulation unit is used to smooth the dynamic power switching rate, lock the 1.25g over-limit acceleration peak in real time, weaken the instantaneous vibration impact caused by power jump, and ensure smooth and stable vibration stimulation of the body surface throughout the process.

[0022] Threshold quantization unit, specifically including: The cumulative critical criterion unit is used to perform global absolute value integration on the original vibration acceleration time-domain signal. The calculation formula is as follows: in, The critical cumulative tolerance threshold is used to characterize a user's ability to withstand continuous cumulative vibration, analogous to an endurance index. a(t) is the real-time vibration acceleration (unit: g). This is the extremely short duration corresponding to that instant; The peak critical criterion unit is used to extract the real-time maximum acceleration to obtain the instantaneous peak tolerance threshold. The specific calculation formula is as follows: in, The critical acceleration peak (unit: g) is used to characterize the user's tolerance to instantaneous high-intensity vibration, analogous to the explosive force index. The user-specific critical tolerance threshold is composed of T_crit and A_crit. When either dimension reaches the user's physiological tolerance threshold, the user actively inputs the tolerance threshold marker signal through the mobile terminal interactive interface. The system records the dual threshold parameters at that moment to form an individual-specific two-dimensional threshold profile.

[0023] The implementation process of the adaptive hierarchical training module specifically includes: Threshold matching hierarchy: based on and The system automatically divides the training into three initial training levels: adaptation, challenge, and improvement, using dual thresholds. Dynamic parameter output: During the adaptation period, output 0.6-0.8 times the dual-threshold vibration stimulation, with the upper limit of single cumulative stimulation controlled at 0.7 times. During the challenge period, the output fluctuates dynamically within a range of ±10% of the threshold, while during the improvement period, a steady-state constant vibration output is adopted. Training data monitoring: Collect the coefficient of variation of acceleration for each training session, and record the user's complete endurance time and abnormal feedback data; Level Iteration and Upgrade: When the coefficient of variation is ≤3% for 5 consecutive training sessions and there is no abnormal feedback, the dual thresholds are simultaneously increased by 5%-10% and the training level is switched to a higher level to avoid accidental upgrades caused by random data.

[0024] The implementation process of the three-axis acceleration acquisition module specifically includes: Receive the zero-point calibration command issued by the main control MCU to eliminate the initial offset error caused by the resonance of the base when the equipment is stationary, and continuously capture the original waveform of the vibration of the hard shell of the cylinder at a fixed sampling frequency of 150Hz. Remove discrete noise of ±0.15g caused by random hand tremors and retain effective physiological vibration acceleration data; Standardized acceleration time-series data is synchronously uploaded to the mobile threshold quantization calculation module via Bluetooth link.

[0025] The security protection and control module specifically includes: The duration protection subunit is used to trigger automatic shutdown when a single training session lasts ≥20 minutes. The communication protection subunit is used to optimize the disconnection detection logic. When the Bluetooth disconnection lasts for ≥1.2s, the vibration power is reduced to 18% of the rated value and an audible and visual alarm is triggered. The over-limit protection subunit is used to cut off the motor output within 0.02s when the instantaneous acceleration is ≥1.4 times the target threshold; The over-temperature protection subunit is used to gradually reduce the vibration power when the contact temperature of the inner liner surface is ≥37.5℃.

[0026] The implementation process of the data storage and analysis module specifically includes: Collect historical threshold data of a large number of desensitized users of the same age and body type, update the standardized threshold database of the population, and at the same time receive raw acceleration data of each time, user dual tolerance thresholds, graded training parameters uploaded by mobile devices and complete persistent cloud storage. Receives initial detection thresholds and human vital signs data uploaded by users from mobile devices; The baseline offset of an individual is calculated by comparing it with the group mean, and a threshold correction compensation coefficient is generated. At the same time, the threshold change trend of the user in multiple rounds of training is compared to quantify the improvement of neural tolerance. The corrected baseline parameters are sent back to the mobile device to update the local threshold calculation benchmark, compress the initial detection deviation to within 3%, and output a report on the user's personal tolerance change to the mobile device.

[0027] The implementation process of the threshold quantization calculation module specifically includes: Data preprocessing involves receiving raw Bluetooth uplink acceleration data, performing low-pass filtering, timestamp alignment, and abnormal data removal to repair data gaps caused by Bluetooth packet loss. Dual threshold quantization is used to calculate A_crit and T_crit respectively through peak criterion and cumulative decay criterion, and the original decay formula is called to correct the short-term desensitization bias of the nerve. Vibration parameter control generates smooth parameter adjustment commands based on threshold results, locking in the 1.25g over-limit acceleration peak; For safety and data processing, the system invokes dual-channel emergency stop, over-temperature, and disconnection protection logic, while simultaneously archiving all training data and generating a tolerance change report.

[0028] The implementation process of the data processing algorithm module specifically includes: It receives raw triaxial discrete acceleration data uploaded by the Bluetooth transmission module in real time and synchronously captures the data packets with their own timestamps. A second-order Butterworth low-pass filter is used to filter out high-frequency environmental noise above 20Hz and eliminate noise from hand micro-movements and electromagnetic interference from circuits. The system calibrates the timestamp offset generated by Bluetooth asynchronous transmission, unifies the global sampling timing benchmark, repairs the data gaps caused by short-term Bluetooth packet loss based on interpolation of effective data from previous and subsequent frames, and outputs a continuous standardized acceleration sequence.

[0029] A training device is applied in a biofeedback training system for ejaculation threshold based on vibration acceleration quantification. It includes: a rigid cylinder 10, a rigid cylinder cover 12, and a TPE inner liner 9. The rigid cylinder cover 12 is screwed onto the rigid cylinder 10. A circuit board 1 is disposed inside the rigid cylinder 10. The TPE inner liner 9 is detachably fitted inside the rigid cylinder 10, with its bottom wall thickness greater than its side wall thickness, forming a natural buffer layer. An inner liner fixing protrusion 11 is located inside the rigid cylinder 10, fixing the TPE inner liner 9. A brushless motor 3 is fixed to the inner rear end of the rigid cylinder 10 via a motor fixing sleeve 2. A turntable 8 and an eccentric wheel 6 are mounted on the output end of the brushless motor 3 via a bearing 7. The turntable 8 directly contacts the bottom of the TPE inner liner 9. Both sides of the interior are equipped with lithium batteries 4, and the brushless motor 3 is also equipped with an accelerometer 5. The TPE inner tube 9 is made of medical-grade TPE glue and is integrally molded. Its internal cavity extends from the opening end to the bottom to form a penile cavity, and the insertion depth is controlled by the user. The thickened area at the bottom can effectively buffer the vibration and impact of the brushless motor 3, so that no damage will be caused regardless of whether the glans touches the bottom. The three-axis acceleration acquisition module is fixedly installed on the rigid tube 10, with a sampling frequency ≥50Hz and a Bluetooth communication link delay ≤200ms. The tail end face of the rigid tube 10 is equipped with charging contacts, and the outer wall is equipped with a physical emergency stop switch. The overall waterproof rating is ≥IPX7, and the joints of the rigid tube are equipped with waterproof sealing rings.

[0030] A training device is applied in a biofeedback training system for ejaculation threshold based on vibration acceleration quantification, comprising the following steps: S1. Device Initialization and Bluetooth Pairing: The training device is pre-assembled, and the hard tube cover 12 and hard tube 10 are sealed together with a waterproof sealing ring at the joint. The whole machine meets the IPX7 waterproof standard. The medical-grade TPE inner tube 9 is detachably fixed to the inside of the hard tube body through the inner tube fixing protrusion 11. The bottom wall thickness of the inner tube is greater than the side wall thickness, forming a natural buffer layer. The internal cavity constitutes the penis receiving cavity. The brushless motor 3 is fixed to the rear of the tube body through the motor fixing sleeve 2. The motor output end is equipped with an eccentric wheel 6 and a turntable 8 through the bearing 7. The turntable fits against the bottom of the inner tube to transmit vibration. Lithium batteries 4 are arranged on both sides of the tube body for power supply. Charging contacts are set at the tail and a physical emergency stop switch is set on the outer wall. After the device is powered on, the Bluetooth transmission module completes the pairing and binding of the mobile terminal and the terminal key. The three-axis acceleration acquisition module fixed inside the hard tube body completes the static zero-point calibration with a sampling frequency ≥50Hz to eliminate the static resonance offset of the base. The built-in NTC sensor completes the self-check of the inner tube surface temperature and simultaneously verifies the suspended insulation installation status of the acceleration sensor.

[0031] S2. Individual Threshold Quantitative Detection: The main control MCU sends a command to start the brushless motor 3, which drives the eccentric wheel 6 to rotate and generate vibration. The eccentric vibration excitation module outputs vibration stimulation according to an initial acceleration of 0.2g and a gradient increase of 0.05g / 3s. The triaxial acceleration acquisition module relies on the suspended installation structure that does not contact the inner liner to collect the original vibration acceleration of the cylinder in real time and upload it via Bluetooth. The threshold quantification calculation module retrieves the short-time attenuation coefficient, substitutes it into the cumulative threshold formula to correct environmental and neural desensitization errors, and calculates the instantaneous peak tolerance threshold and cumulative tolerance threshold in parallel. When the user subjectively perceives the tolerance threshold, a marker signal is input through the mobile terminal or physical emergency stop switch, and the system immediately locks two sets of thresholds and caches them locally.

[0032] S3, Adaptive Graded Closed-Loop Training: The threshold quantization calculation module calls the anti-overshoot amplitude modulation unit to control the brushless motor power so that the single acceleration adjustment gradient does not exceed 0.03g / 0.5s, while monitoring the instantaneous acceleration in real time. When it exceeds 1.25g, the motor output is locked to eliminate vibration spikes; the thickened structure at the bottom of the TPE inner liner buffers the impact of motor start-stop, avoiding pain caused by the glans contacting the bottom; the adaptive graded training module calls the locked dual threshold to divide the training into three levels: adaptation, challenge, and improvement, and collects training acceleration data one by one and calculates the coefficient of variation; when the coefficient of variation of acceleration is ≤3% for 5 consecutive training sessions and there are no abnormal alarms and no user discomfort feedback, the tolerance threshold is automatically increased by 5%-10% and the training level is upgraded.

[0033] S4. Safety Protection and Data Archiving: The safety protection logic runs synchronously, and dual-channel protection is enabled in parallel: physical button emergency stop and passive power-off under pressure of the inner tank. At the same time, protection against Bluetooth disconnection timeout power reduction, over-temperature load reduction, and acceleration over-limit shutdown is implemented. The threshold quantization calculation module synchronously uploads the raw acceleration data, dual tolerance thresholds, and graded training parameters to the data storage and analysis module. The data storage and analysis module compares the threshold database of people of the same body type and age group to correct individual baseline deviations, analyzes the fluctuation trend of thresholds in multiple rounds of training, generates a report on changes in personal tolerance ability, and sends it back to the mobile terminal to update the training parameters.

[0034] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0035] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention.

Claims

1. A biofeedback training system for ejaculation threshold based on vibration acceleration quantification, characterized in that, include: The triaxial acceleration acquisition module is used to acquire the vibration acceleration time-domain data output by the vibration excitation module in real time. The vibration excitation module is used to receive parameter adjustment instructions from the mobile terminal and output continuous vibration stimulation with bidirectional adjustable frequency and acceleration gradient to match the progressive training needs of human nerve desensitization. The Bluetooth transmission module is used to enable bidirectional low-latency data interaction between the terminal and the mobile device; the dual-channel emergency stop module is used for dual hardware and software emergency power failure protection. The data processing algorithm module is used to receive the raw acceleration time domain data from the triaxial acceleration acquisition module and perform data filtering, abnormal noise removal and timestamp alignment preprocessing. The threshold quantization calculation module is used to process vibration acceleration data, calculate the two-dimensional tolerance threshold, smooth vibration output, and suppress acceleration overshoot. The adaptive training control module is used to dynamically output three levels of differentiated parameter control based on the user's real-time threshold parameters. The safety protection and control module is used to coordinate and manage all safety sub-units, issue shutdown, power reduction, and audible and visual alarm commands, and complete the full-process equipment status monitoring and abnormal closed-loop handling. The data storage and analysis module is used to store the raw data of each acceleration, the user's dual tolerance thresholds, and the graded training parameters. It compares the trend of threshold changes over multiple rounds of training and outputs a report on the analysis of tolerance changes.

2. The biofeedback training system for ejaculation threshold based on vibration acceleration quantification according to claim 1, characterized in that, The threshold quantization calculation module specifically includes: The threshold quantization unit is used to construct an acceleration-time coupled threshold function model based on the received acceleration time-domain data, and quantize and generate user-specific vibration tolerance critical threshold parameters. A modified threshold quantization unit is used to calculate the user's dual tolerance threshold by combining the short-term decay characteristics of human nerves. The overshoot prevention amplitude modulation unit is used to smooth the dynamic power switching rate, lock the 1.25g over-limit acceleration peak in real time, weaken the instantaneous vibration impact caused by power jump, and ensure smooth and stable vibration stimulation of the body surface throughout the process.

3. The biofeedback training system for ejaculation threshold based on vibration acceleration quantification according to claim 2, characterized in that, The threshold quantization unit specifically includes: The cumulative critical criterion unit is used to perform global absolute value integration on the original vibration acceleration time-domain signal. The calculation formula is as follows: in, The critical cumulative tolerance threshold is used to characterize the user's ability to withstand continuous cumulative vibration, where a(t) is the real-time vibration acceleration (unit: g). This is the extremely short duration corresponding to that instant; The peak critical criterion unit is used to extract the real-time maximum acceleration to obtain the instantaneous peak tolerance threshold. The specific calculation formula is as follows: in, The critical acceleration peak value (unit: g) is used to characterize the user's tolerance to instantaneous high-intensity vibrations.

4. The biofeedback training system for ejaculation threshold based on vibration acceleration quantification according to claim 1, characterized in that, The implementation process of the adaptive hierarchical training module specifically includes: Threshold matching hierarchy: based on and The system automatically divides the training into three initial training levels: adaptation, challenge, and improvement, using dual thresholds. Dynamic parameter output: During the adaptation period, output 0.6-0.8 times the dual-threshold vibration stimulation, with the upper limit of single cumulative stimulation controlled at 0.7 times. During the challenge period, the output fluctuates dynamically within a range of ±10% of the threshold, while during the improvement period, a steady-state constant vibration output is adopted. Training data monitoring: Collect the coefficient of variation of acceleration for each training session, and record the user's complete endurance time and abnormal feedback data; Level Iteration and Upgrade: When the coefficient of variation is ≤3% for 5 consecutive training sessions and there is no abnormal feedback, the dual thresholds are simultaneously increased by 5%-10% and the training is switched to a higher level.

5. The biofeedback training system for ejaculation threshold based on vibration acceleration quantification according to claim 1, characterized in that, The implementation process of the triaxial acceleration acquisition module specifically includes: Receive the zero-point calibration command issued by the main control MCU to eliminate the initial offset error caused by the resonance of the base when the equipment is stationary, and continuously capture the original waveform of the vibration of the hard shell of the cylinder at a fixed sampling frequency of 150Hz. Remove discrete noise of ±0.15g caused by random hand tremors and retain effective physiological vibration acceleration data; Standardized acceleration time-series data is synchronously uploaded to the mobile threshold quantization calculation module via Bluetooth link.

6. The biofeedback training system for ejaculation threshold based on vibration acceleration quantification according to claim 1, characterized in that, The security protection control module specifically includes: The duration protection subunit is used to trigger automatic shutdown when a single training session lasts ≥20 minutes. The communication protection subunit is used to optimize the disconnection detection logic. When the Bluetooth disconnection lasts for ≥1.2s, the vibration power is reduced to 18% of the rated value and an audible and visual alarm is triggered. The over-limit protection subunit is used to cut off the motor output within 0.02s when the instantaneous acceleration is ≥1.4 times the target threshold; The over-temperature protection subunit is used to gradually reduce the vibration power when the contact temperature of the inner liner surface is ≥37.5℃.

7. The biofeedback training system for ejaculation threshold based on vibration acceleration quantification according to claim 1, characterized in that, The implementation process of the data storage and analysis module specifically includes: Collect historical threshold data of a large number of desensitized users of the same age and body type, update the standardized threshold database of the population, and at the same time receive raw acceleration data of each time, user dual tolerance thresholds, graded training parameters uploaded by mobile devices and complete persistent cloud storage. Receives initial detection thresholds and human vital signs data uploaded by users from mobile devices; The baseline offset of an individual is calculated by comparing it with the group mean, and a threshold correction compensation coefficient is generated. At the same time, the threshold change trend of the user in multiple rounds of training is compared to quantify the improvement of neural tolerance. The corrected baseline parameters are sent back to the mobile device to update the local threshold calculation benchmark, compress the initial detection deviation to within 3%, and output a report on the user's personal tolerance change to the mobile device.

8. The biofeedback training system for ejaculation threshold based on vibration acceleration quantification according to claim 1, characterized in that, The implementation process of the threshold quantization calculation module specifically includes: Data preprocessing involves receiving raw Bluetooth uplink acceleration data, performing low-pass filtering, timestamp alignment, and abnormal data removal to repair data gaps caused by Bluetooth packet loss. Dual threshold quantization is used to calculate A_crit and T_crit respectively through peak criterion and cumulative decay criterion, and the original decay formula is called to correct the short-term desensitization bias of the nerve. Vibration parameter control generates smooth parameter adjustment commands based on threshold results, locking in the 1.25g over-limit acceleration peak; For safety and data processing, the system invokes dual-channel emergency stop, over-temperature, and disconnection protection logic, while simultaneously archiving all training data and generating a tolerance change report.

9. The biofeedback training system for ejaculation threshold based on vibration acceleration quantification according to claim 1, characterized in that, The implementation process of the data processing algorithm module specifically includes: It receives raw triaxial discrete acceleration data uploaded by the Bluetooth transmission module in real time and synchronously captures the data packets with their own timestamps. A second-order Butterworth low-pass filter is used to filter out high-frequency environmental noise above 20Hz and eliminate noise from hand micro-movements and electromagnetic interference from circuits. The system calibrates the timestamp offset generated by Bluetooth asynchronous transmission, unifies the global sampling timing benchmark, repairs the data gaps caused by short-term Bluetooth packet loss based on interpolation of effective data from previous and subsequent frames, and outputs a continuous standardized acceleration sequence.

10. A training device applied in the biofeedback training system for ejaculation threshold based on vibration acceleration as described in claim 9, characterized in that, The device includes a rigid cylinder (10), a rigid cylinder cover (12), and a TPE inner liner (9). The rigid cylinder cover (12) is screwed onto the rigid cylinder (10). A circuit board (1) is installed inside the rigid cylinder (10). The TPE inner liner (9) is detachably fitted inside the rigid cylinder (10). The inner wall of the rigid cylinder (10) has a locking protrusion (11) for fixing the TPE inner liner. The inner liner fixing protrusion (11) fixes the TPE inner liner (9). The brushless motor (3) is fixed to the inner side of the rear end of the rigid cylinder (10) through a motor fixing sleeve (2). The output end of the brushless motor (3) is equipped with a turntable (8) and an eccentric wheel (6) via a bearing (7). The turntable (8) directly contacts the bottom of the TPE inner liner (9). Lithium batteries (4) are installed on both sides inside the hard cylinder (10). An acceleration sensor (5) is also installed on the brushless motor (3). A three-axis acceleration acquisition module is fixedly installed on the hard cylinder (10). A charging contact is provided on the tail end face of the hard cylinder (10). A physical emergency stop switch is provided on the outer wall. A waterproof sealing ring is provided at the joint of the hard cylinder.

Images