Electrical stimulation assisted positioning system based on pressure sensing technology

Abstract

The present invention relates to the technical field of smart therapeutic bracelets, and discloses an electric stimulation auxiliary positioning system based on pressure sensing technology, including a smart bracelet, a data acquisition module and a positioning analysis module. The system is composed of a host, an electric pulse strap, an electric stimulation module and a fixed strap to form a smart bracelet. The host includes a main control chip, a pulse output device, a GSR skin electricity monitoring device, a PPG device and a storage chip. The main control chip is provided with a positioning analysis module, and the storage chip is provided with a data acquisition module. The positioning analysis module preferentially determines whether the electric stimulation module is aligned with the acupuncture point, and has high flexible positioning accuracy. Then, a fluctuation data group is calculated and generated, and a control signal is output to the pulse output device after judging the treatment effect, so that the electric stimulation treatment effect is better.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent therapeutic bracelets, and in particular to an electric stimulation assisted positioning system based on pressure sensing technology. Background Art

[0002] Electrical stimulation therapy technology is widely used in the field of disease treatment, covering pain management, neurological rehabilitation, cardiovascular disease, urinary system diseases, respiratory system diseases, digestive system diseases, otolaryngology, skeletal muscle system, mental illness, obesity and metabolic diseases. Electrical stimulation therapy technology regulates nerve and muscle function through electrical stimulation, improves patient symptoms and improves the quality of life. Among them, transcutaneous electrical nerve stimulation TENS is widely used in the treatment of adverse symptoms of smart bracelets. Transcutaneous electrical nerve stimulation TENS transmits low-frequency current to nerves through electrodes on the skin to relieve chronic pain, acute pain and postoperative pain. The common way to achieve electrical stimulation is to transmit low-frequency pulses to the strap electrodes through wires embedded in the strap of the smart bracelet, and contact the skin through the electrodes fixed on the strap to achieve the purpose of stimulating the nerves under the skin.

[0003] At present, the strap length and electrode position of traditional smart bracelets are determined by the manufacturer and cannot be changed after processing. The wrist size of patients is affected by individual factors such as height and weight, and there are large differences. When using traditional straps with fixed length and electrode position and wearing them on user limbs of different sizes, it is often encountered that the smart treatment bracelet host is worn in the correct position, but there is a large deviation between the position where the electrode and the skin are in contact and the position of the nerve to be stimulated, which greatly reduces the stimulation effect of the electrode on the target nerve. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the prior art, the present invention provides an electric stimulation assisted positioning system based on pressure sensing technology, which has the advantages of flexible positioning, high accuracy, better electric stimulation treatment effect, etc., and solves the problem that the electrode position of traditional smart bracelets cannot be adjusted and the electric stimulation treatment effect is poor.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an electric stimulation assisted positioning system based on pressure sensing technology, comprising a smart bracelet, a data acquisition module and a positioning analysis module;

[0008] The smart bracelet is composed of a host, an electric pulse strap, an electric stimulation module and a fixed strap;

[0009] The host includes a main control chip provided with a positioning analysis module, a pulse output device for generating low-frequency pulses, a GSR skin electrical monitoring device for obtaining skin resistance values, a PPG device for obtaining pulse data, and a storage chip provided with a data acquisition module;

[0010] The electric pulse watchband is provided with a metal sheet inside for transmitting low-frequency pulses, raw skin data and pressure values ​​at both ends of the electrode sheet;

[0011] The electrical stimulation module includes an electrode sheet for closely contacting the user's skin and transmitting low-frequency pulses and raw skin data, and a pressure sensor for analyzing the raw skin data and obtaining the pressure value generated at both ends of the electrode sheet and the user's skin after being closely contacted;

[0012] The fixed strap is used to fix the smart bracelet;

[0013] The data acquisition module includes a pulse data unit for the pulse data set of the wearer at all time points and a sensor data unit for communication connection with the GSR skin electrical monitoring device and the metal sheet to collect the sensor data set, and the data acquisition module transmits the pulse data set and the sensor data set to the positioning analysis module;

[0014] The positioning analysis module includes an acupoint analysis unit, a pulse analysis unit and a treatment analysis unit. The acupoint analysis unit is provided with a pressure difference threshold BP and a resistance threshold BR. The acupoint analysis unit compares the sensing data set with the pressure difference threshold BP and the resistance threshold BR, analyzes and determines whether the electrical stimulation module is aligned with the acupoint. If the electrical stimulation module is aligned with the acupoint, the pulse analysis unit calculates and generates a fluctuation data group Bdsj based on the pulse data set and the sensing data set, determines the treatment effect of the wearer, and controls the treatment analysis unit to output a corresponding control signal to the pulse output device to realize the output and stop of low-frequency pulses.

[0015] Preferably, the pulse data unit and the sensor data unit both adopt an interval collection and storage method, recording the data transmitted each time by the PPG device, the GSR skin charge monitoring device and the metal sheet as one collection, and then recording the results of multiple collections as a data group, and combining and storing multiple data as a data matrix;

[0016] The sensor data unit arranges the skin resistance data combination and the pressure difference data combination from early to late in chronological order, and only retains the overlapping parts of the skin resistance data combination and the pressure difference data combination for combined storage.

[0017] Preferably, the pulse data unit marks the pulse data as Among them, t nIndicates the start time of pulse collection. There are x0 pulse data in each pulse data group. x is used to indicate the number of the current pulse data in the data group, and x≤x0. The interval time of each collection in the pulse data collection group is Q1 seconds. The expression of the pulse data group is: The expression of the pulse data matrix is ​​as follows:

[0018]

[0019] Preferably, the sensor data unit marks the skin resistance value as Wherein, g is used to distinguish different GSR skin resistance monitoring devices. There are y0 skin resistance data in each skin resistance data group. y is used to indicate the number of the current skin resistance in the data group, and y≤y0, t m It indicates the start time of the first collection in each skin resistance data group. The interval time of each collection in the skin resistance group is Q2 seconds. The expression of the skin resistance matrix formula is as follows:

[0020]

[0021] Preferably, the resistance difference RD g The calculation formula is as follows:

[0022]

[0023] In the formula, RD g Represents the resistance difference, Indicates that the No. 1 GSR skin electricity monitoring device is t m As the starting point, the skin resistance value collected for the yth time, Indicates that the No. 2 GSR skin electricity monitoring device is t m As the starting point, the skin resistance value collected for the yth time

[0024] Preferably, the sensor data unit marks the pressure data as PA L and PA R , among which, PA L Indicates the pressure value at the left end of the electrode, PA R Indicates the pressure value at the right end of the electrode sheet. The pressure difference PAD is calculated as follows:

[0025]

[0026] In the formula, PAD represents the pressure difference, es is used to distinguish each electrode sheet, and t lIndicates the start time of the first collection in each pressure data collection group. There are z0 pressure difference data in each pressure difference data group. z indicates the number of the current pressure difference in the data group, and z≤z0. The interval time of each collection in the pressure difference data group is Q3 seconds.

[0027] The expression of the pressure difference matrix formula is as follows:

[0028]

[0029] Preferably, the acupoint analysis unit first determines whether the pressure difference PAD is less than or equal to the pressure difference threshold BP. If PAD>BP, the wearer is reminded to adjust the electrode position along the forearm direction. If PAD≤BP, the resistance difference RD is determined. g Is it less than or equal to the resistance threshold BR? If RD g >BR, remind the wearer to adjust the electrode position along the forearm direction. g When ≤BR, it means that the electrical stimulation module has been aligned with the acupoint.

[0030] Preferably, the electrical stimulation module has been aligned with the acupuncture points, and the pulse analysis unit calculates and generates a fluctuation data set Bdsj based on the pulse data set and the sensor data set. The fluctuation data set Bdsj includes the pulse data, the pulse trend degree and the inverse number of the skin resistance trend degree. The calculation process is as follows:

[0031] The pulse trend degree and skin resistance trend degree are calculated according to the trend degree calculation formula, and the calculation formula is as follows:

[0032] Trend = ∑ (actual value - average value) / standard deviation

[0033] The pulse trend calculation formula is as follows:

[0034]

[0035] The calculation formula of skin resistance trend is as follows:

[0036]

[0037] In the formula, Bdsj represents the fluctuation data group, Indicates pulse data, Indicates the pulse trend. Indicates the inverse of the trend of the skin resistance data set.

[0038] Preferably, the pulse analysis unit is provided with a monitoring period Q of a fixed duration. Within a single monitoring period Q, if the absolute values ​​of the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are larger, it indicates that the trend is stronger and the fluctuation amplitude of the wearer's pulse data and skin resistance data is larger.

[0039] Preferably, within the single monitoring cycle Q, if the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are both negative numbers, it means that the wearer's pulse data is on a downward trend, and the opposite of the wearer's skin resistance data is a downward trend, indicating that the treatment is effective, and the treatment analysis unit adjusts the control signal according to the current pulse data and the absolute value of the trend degree to generate pulse outputs of different intensities or frequencies to return the patient's heart rate to and maintain it within a healthy range; if the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are both positive numbers, it means that the wearer's pulse data is on an upward trend, and the opposite of the wearer's skin resistance data is an upward trend, indicating that the current treatment cannot stop the deterioration of the disease, and the treatment analysis unit outputs a strengthening control signal to increase the pulse intensity of the pulse output device.

[0040] Compared with the prior art, the present invention provides an electrical stimulation assisted positioning system based on pressure sensing technology, which has the following beneficial effects:

[0041] 1. The present invention comprises a smart bracelet through a host, an electric pulse strap, an electric stimulation module and a fixed strap. The host comprises a main control chip, a pulse output device, a GSR skin electricity monitoring device, a PPG device and a storage chip. The main control chip is provided with a positioning analysis module. The pulse output device is used to generate a low-frequency pulse. The GSR skin electricity monitoring device obtains the skin resistance value by analyzing the original skin data. The PPG device obtains the pulse data by analyzing the original skin data. The storage chip is provided with a data acquisition module. A metal sheet is provided inside the electric pulse strap. The metal sheet is used to transmit the low-frequency pulse, the original skin data and the pressure value at both ends of the electrode sheet. The electric pulse strap is made of a flexible insulating material. The electric stimulation module includes an electrode sheet and a pressure sensor. The electrode sheet is used to be in close contact with the user's skin to transmit low-frequency pulses and raw skin data. The pressure sensors are arranged at both ends of the electrode sheet to analyze the raw skin data and obtain the pressure values ​​generated at both ends after the electrode sheet is in close contact with the user's skin. The fixed strap is used to fix the smart bracelet. The data acquisition modules in the storage chip adopt an interval acquisition and storage method to record the results of multiple acquisitions as a data group, and combine and store multiple data into a data matrix. The data matrix is ​​a data set. The acupoint analysis unit first determines whether the pressure difference PAD is less than or equal to the pressure difference threshold BP, and then determines the resistance difference RD g Is it less than or equal to the resistance threshold BR? If PAD≤BP and RD g >BR, it indicates that the electrical stimulation module has been aligned with the acupuncture point, with flexible positioning and high accuracy.

[0042] 2. The present invention calculates and generates a fluctuation data group Bdsj according to the pulse data set and the sensor data set through a pulse analysis unit. The fluctuation data group Bdsj includes pulse data, pulse trend degree and skin resistance trend degree. The pulse analysis unit is provided with a monitoring period Q of a fixed duration. Within a single monitoring period Q, if the absolute values ​​of the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are larger, the stronger the trend is, and the larger the fluctuation amplitude of the wearer's pulse data and skin resistance data is. If the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are close to 0, it means that the data has no obvious upward or downward trend and may be in a stable state without significant changes during the observation period. If the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are both negative numbers, it means that the wearer's pulse data is in a downward trend, and the opposite number of the wearer's skin resistance data is a downward trend, indicating that the treatment is effective. The treatment analysis unit adjusts the control signal according to the current pulse data and the absolute value of the trend degree to generate pulse outputs of different intensities or frequencies to return the patient's heart rate to and maintain it within a healthy range. If the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are both positive numbers, it means that the wearer's pulse data is on an upward trend, and the opposite number of the wearer's skin resistance data is on an upward trend, indicating that the current treatment cannot curb the deterioration of the disease. The treatment analysis unit outputs an enhanced control signal to increase the pulse intensity of the pulse output device. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] Since the strap length and electrode position of traditional smart bracelets are determined by the manufacturer and cannot be changed after processing, the wrist size of patients is affected by individual factors such as height and weight, and there are large differences. When using traditional straps with fixed length and electrode position to wear on users' limbs with different sizes, it is often encountered that the smart treatment bracelet host is worn in the correct position, but the position where the electrode contacts the skin is greatly deviated from the position where the nerve to be stimulated is located, which greatly reduces the stimulation effect of the electrode on the target nerve. Therefore, an electrical stimulation auxiliary positioning system based on pressure sensing technology is provided, please refer to Figure 1 , including smart bracelet, data collection module and positioning analysis module;

[0046] The smart bracelet consists of a host, an electric pulse strap, an electric stimulation module and a fixed strap;

[0047] The host includes a main control chip, a pulse output device, a GSR skin electricity monitoring device, a PPG device and a storage chip. The main control chip is provided with a positioning analysis module. The pulse output device is used to generate low-frequency pulses. The GSR skin electricity monitoring device obtains skin resistance value by analyzing raw skin data. The PPG device obtains pulse data by analyzing raw skin data. The storage chip is provided with a data acquisition module. The storage chip has a long-term data recording function, which records the wearer's body state parameters, corresponding time, low-frequency electric pulse opening state, low-frequency pulse parameters and other data each time, which is helpful for subsequent intelligent adjustment of the electrical stimulation treatment effect.

[0048] The electric pulse strap is equipped with a metal sheet inside, which is used to transmit low-frequency pulses, raw skin data and pressure values ​​at both ends of the electrode sheet. The metal sheet can be transmitted in a time sequence according to actual usage. Only one data or pulse can be output at each moment. The electric pulse strap is made of a flexible insulating material to cover the metal sheet, which is convenient for the wearer to shape the electric pulse strap according to the shape of his wrist, thereby improving wearing comfort.

[0049] The electrical stimulation module includes an electrode sheet and a pressure sensor. The electrode sheet is used to be in close contact with the user's skin. The electrode sheet and the metal sheet can be connected by contact or indirectly through a conductive medium according to actual usage. The electrode sheet is in close contact with the user's skin and is used to transmit raw skin data and low-frequency pulses, which can stimulate deep nerves and treat diseases. The number of electrode sheets is greater than or equal to three, and the electrode sheets are numbered in numerical order, for example, electrode sheet No. 1, electrode sheet No. 2, electrode sheet No. 3, etc. The pressure sensors are arranged at both ends of the electrode sheet, and the pressure sensors are used to analyze the raw skin data and obtain the pressure values ​​generated at both ends after the electrode sheet is in close contact with the user's skin;

[0050] The fixed strap is used to fix the smart bracelet, ensuring that the electrode of the smart bracelet can be close to the wrist skin during the electrical stimulation treatment;

[0051] In actual use, after correctly wearing the smart bracelet, the electrode should be close to the center line of the wearer's arm, about two inches above the wrist crease, and on the midline of the forearm, between the two tendons, which corresponds to the Neiguan acupoint PC6. Electrical stimulation of the Neiguan acupoint through the electrode can harmonize the heart qi, calm the mood, help relieve anxiety, tension and other emotions, and has a calming effect. In addition, stimulation of the Neiguan acupoint can also improve symptoms such as chest tightness, irritability, and vomiting caused by motion sickness;

[0052] The data acquisition module includes a pulse data unit and a sensor data unit. The pulse data unit collects pulse data sets through communication connection with the PPG device. The pulse data sets include the pulse data of the wearer at all time points. If the heart rate increases and the skin resistance decreases, it means that the wearer has already experienced discomfort symptoms.

[0053] The pulse data unit marks the pulse data as Among them, t n Indicates the start time of pulse collection. There are x0 pulse data in each pulse data group. x is used to indicate the number of the current pulse data in the data group, and x≤x0. The interval time of each collection in the pulse data collection group is Q1 seconds. The expression of the pulse data group is For example, the first data collection starts at 00:30 Beijing time, and after the data collection is completed, it is recorded as data. The next collection is performed after an interval of Q1, and the collected data is recorded as

[0054] The expression of the pulse data matrix is ​​as follows:

[0055]

[0056] The sensor data unit is connected to the GSR skin electrical monitoring device and the metal sheet to collect the sensor data set. The sensor data set includes the skin resistance value of the wearer at all time points and the pressure value at both ends of the electrode sheet. The GSR skin electrical monitoring device is often used to monitor the change of skin resistance, which can evaluate the emotional response of individuals in different situations and study psychological states such as emotional response, anxiety, and stress. The sensor data unit arranges the skin resistance data combination and the pressure difference data combination in chronological order from early to late, and only retains the overlapping part of the skin resistance data combination and the pressure difference data combination for combined storage;

[0057] The sensor data unit marks the skin resistance value as Wherein, g is used to distinguish different GSR skin resistance monitoring devices. There are y0 skin resistance data in each skin resistance data group. y is used to indicate the number of the current skin resistance in the data group, and y≤y0, t m Indicates the start time of the first collection in each skin resistance data group. The interval time of each collection in the skin resistance group is Q2 seconds. The expression of the skin resistance matrix formula is as follows:

[0058]

[0059] The pulse data unit and the sensor data unit both adopt an interval collection and storage method, recording the data transmitted by the PPG device, the GSR skin charge monitoring device and the metal sheet each time as one collection, and then recording the results of multiple collections as a data group, and combining and storing multiple data into a data matrix, which is the data set;

[0060] Resistance difference RD g The calculation formula is as follows:

[0061]

[0062] In the formula, RD g Represents the resistance difference, Indicates that the No. 1 GSR skin electricity monitoring device is t m As the starting point, the skin resistance value collected for the yth time, Indicates that the No. 2 GSR skin electricity monitoring device is t m As the starting point, the skin resistance value collected for the yth time, when the resistance difference is large, it means that the electrode sheet is not correctly attached to the acupoint. When the resistance difference at both ends is close to 0, it means that the acupoint positioning along the arm direction is successful. By judging the size of the pressure difference on both sides of the electrode and the direction of the side with large electrode pressure, it can be judged whether the electrode is worn normally along the direction of the strap. The host can remind the user of the electrode position and adjustment direction through voice and vibration;

[0063] The sensor data unit marks the pressure data as PA L and PA R , among which, PA L Indicates the pressure value at the left end of the electrode, PA R Indicates the pressure value at the right end of the electrode sheet. The pressure difference PAD calculation formula is as follows:

[0064]

[0065] In the formula, PAD represents the pressure difference, es is used to distinguish each electrode sheet, and t l Indicates the start time of the first collection in each pressure data collection group. There are z0 pressure difference data in each pressure difference data group. z indicates the number of the current pressure difference in the data group, and z≤z0. The interval time of each collection in the pressure difference data group is Q3 seconds. If the electrode sheet is correctly attached to the acupoint, the pressure difference at both ends of the electrode should be close to 0. If the electrode sheet is not correctly attached to the acupoint, one end of the electrode will be affected by the bone and skin, resulting in a larger pressure difference at both ends of the electrode. By judging the size of the pressure difference on both sides of the electrode and the direction of the side with greater pressure on the electrode, it can be judged whether the electrode is worn perpendicular to the arm. The host can remind the user of the electrode position and adjustment direction through voice and vibration;

[0066] The expression of the pressure difference matrix formula is as follows:

[0067]

[0068] The data acquisition module transmits the pulse data set and the sensor data set to the positioning analysis module;

[0069] The positioning analysis module includes an acupoint analysis unit, a pulse analysis unit and a treatment analysis unit;

[0070] The acupoint analysis unit is provided with a pressure difference threshold BP and a resistance threshold BR. The acupoint analysis unit first determines whether the pressure difference PAD is less than or equal to the pressure difference threshold BP. If PAD>BP, the electrode sheet is not close to the center line of the wearer's arm, and the wearer is reminded to move the electrode sheet to the end with a larger pressure value. If PAD≤BP, the resistance difference RD is determined. g Is it less than or equal to the resistance threshold BR? If RD g >BR, the electrode is not close to the center line of the wearer's arm, remind the wearer to move the electrode to the end with smaller resistance value. g When ≤BR, it means that the electrical stimulation module has been aligned with the acupuncture point, with high flexible positioning accuracy;

[0071] The pulse analysis unit is set with a fixed monitoring period Q. After the acupoint analysis unit determines that the acupoint is located successfully, the pulse analysis unit calculates and generates a fluctuation data set Bdsj based on the pulse data set and the sensor data set. The fluctuation data set Bdsj includes the pulse data, the pulse trend degree and the inverse number of the skin resistance trend degree. The calculation process is as follows:

[0072] The pulse trend degree and skin resistance trend degree are calculated according to the trend degree calculation formula, and the calculation formula is as follows:

[0073] Trend = ∑ (actual value - average value) / standard deviation

[0074] The pulse trend calculation formula is as follows:

[0075]

[0076] The calculation formula of skin resistance trend is as follows:

[0077]

[0078] In the formula, Bdsj represents the fluctuation data group, Indicates pulse data, Indicates the pulse trend.

[0079] Indicates the opposite number of the trend of the skin resistance data set;

[0080] The pulse analysis unit is set with a monitoring period Q of fixed duration. Within a single monitoring period Q, if the absolute values ​​of the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are larger, it means the trend is stronger and the fluctuation amplitude of the wearer's pulse data and skin resistance data is larger.

[0081] In a single monitoring cycle Q, if the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are both negative numbers, it means that the wearer's pulse data is on a downward trend, and the opposite of the wearer's skin resistance data is a downward trend, indicating that the treatment is effective. The treatment analysis unit adjusts the control signal according to the current pulse data and the absolute value of the trend degree to generate pulse outputs of different intensities or frequencies to return the patient's heart rate to and maintain it within a healthy range. If the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are both positive numbers, it means that the wearer's pulse data is on an upward trend, and the opposite of the wearer's skin resistance data is an upward trend, indicating that the current treatment cannot curb the deterioration of the disease. The treatment analysis unit outputs a strengthening control signal to increase the pulse intensity of the pulse output device. Example 1: In this experiment, the following four steps are used to conduct the experiment:

[0082] 1. Set standard indicators for healthy people on smart bracelets

[0083] a) Heart rate greater than 40 but not exceeding 180;

[0084] b) The rising trend of heart rate and skin resistance is less than or equal to 50;

[0085] 2. Set the smart bracelet's judgment conditions for the pulse treatment effect

[0086] a) The inverse of the heart rate trend and the skin resistance trend ∈ [0, ∞), indicating that the current low-frequency pulse treatment program cannot curb the deterioration of the disease

[0087] b) The inverse of the heart rate trend and the skin resistance trend ∈(-40, 0), indicating that the low-frequency pulse therapy has a therapeutic effect;

[0088] c) The inverse of the heart rate trend and the skin resistance trend ∈(-∞, 40], indicating that the low-frequency pulse treatment effect is significant.

[0089] 3. Make sure the electrode has nearly completed the precise positioning of the acupuncture point, and proceed to step 4;

[0090] 4. Before turning on the pulse output device, the smart bracelet determines whether the current heart rate value and heart rate trend are within the standard indicators. If not, the smart bracelet reminds the wearer to turn on the pulse output device through voice or the smart bracelet automatically turns on the pulse output device. After the pulse output device is turned on, the effect of the treatment is judged by comparing the heart rate value, heart rate and skin resistance trend during the pulse treatment with the judgment conditions of the pulse treatment effect. If there is an effect but it is not significant, the smart bracelet reminds the wearer to increase the pulse intensity through voice or the smart bracelet automatically increases the pulse intensity.

[0091] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An electrical stimulation assisted positioning system based on pressure sensing technology, characterized in that: Including smart bracelet, data collection module and positioning analysis module; The smart bracelet is composed of a host, an electric pulse strap, an electric stimulation module and a fixed strap; The host includes a main control chip provided with a positioning analysis module, a pulse output device for generating low-frequency pulses, a GSR skin electrical monitoring device for obtaining skin resistance values, a PPG device for obtaining pulse data, and a storage chip provided with a data acquisition module; The electric pulse watchband is provided with a metal sheet inside for transmitting low-frequency pulses, raw skin data and pressure values ​​at both ends of the electrode sheet; The electrical stimulation module includes an electrode sheet for closely contacting the user's skin and transmitting low-frequency pulses and raw skin data, and a pressure sensor for analyzing the raw skin data and obtaining the pressure value generated at both ends of the electrode sheet and the user's skin after being closely contacted; The fixed strap is used to fix the smart bracelet; The data acquisition module includes a pulse data unit for the pulse data set of the wearer at all time points and a sensor data unit for communication connection with the GSR skin electrical monitoring device and the metal sheet to collect the sensor data set, and the data acquisition module transmits the pulse data set and the sensor data set to the positioning analysis module; The sensor data unit marks the skin resistance value as Wherein, g is used to distinguish different GSR skin resistance monitoring devices. There are y0 skin resistance data in each skin resistance data group. y is used to indicate the number of the current skin resistance in the data group, and y≤y0, t m Indicates the start time of the first collection in each skin resistance data group. The interval time between each collection in the skin resistance group is Q2 seconds; Resistance difference RD g The calculation formula is as follows: In the formula, RD g Represents the resistance difference, Indicates that the No. 1 GSR skin electricity monitoring device is t m As the starting point, the skin resistance value collected for the yth time, Indicates that the No. 2 GSR skin electricity monitoring device is t m As the starting point, the skin resistance value collected for the yth time; The sensor data unit marks the pressure data as PA L and PA R , among which, PA L Indicates the pressure value at the left end of the electrode, PA R Indicates the pressure value at the right end of the electrode sheet. The pressure difference PAD is calculated as follows: In the formula, PAD represents the pressure difference, es is used to distinguish each electrode sheet, and t l Indicates the start time of the first collection in each pressure data collection group. There are z0 pressure difference data in each pressure difference data group. z indicates the number of the current pressure difference in the data group, and z≤z0. The interval time of each collection in the pressure difference data group is Q3 seconds. The positioning analysis module includes an acupoint analysis unit, a pulse analysis unit and a treatment analysis unit. The acupoint analysis unit is provided with a pressure difference threshold BP and a resistance threshold BR. The acupoint analysis unit compares the sensing data set with the pressure difference threshold BP and the resistance threshold BR to analyze and determine whether the electrical stimulation module is aligned with the acupoint; The acupoint analysis unit first determines whether the pressure difference PAD is less than or equal to the pressure difference threshold BP. If PAD>BP, the wearer is reminded to adjust the electrode position along the forearm direction. If PAD≤BP, the resistance difference RD is determined. g Is it less than or equal to the resistance threshold BR? If RD g >BR, remind the wearer to adjust the electrode position along the forearm direction. g When ≤BR, it means that the electrical stimulation module has been aligned with the acupoint; If the electrical stimulation module has been aligned with the acupuncture points, the pulse analysis unit calculates and generates a fluctuation data group Bdsj based on the pulse data set and the sensor data set. The fluctuation data group Bdsj includes the pulse data, the pulse trend degree and the inverse of the skin resistance trend degree; and judges the treatment effect of the wearer, controls the treatment analysis unit to output a corresponding control signal to the pulse output device, and realizes the output and stop of low-frequency pulses.

2. The electrical stimulation assisted positioning system based on pressure sensing technology according to claim 1, characterized in that: The pulse data unit and the sensor data unit both adopt an interval collection and storage method, recording the data transmitted by the PPG device, the GSR skin charge monitoring device and the metal sheet each time as one collection, and then recording the results of multiple collections as a data group, and combining and storing multiple data into a data matrix; The sensor data unit arranges the skin resistance data combination and the pressure difference data combination from early to late in chronological order, and only retains the overlapping parts of the skin resistance data combination and the pressure difference data combination for combined storage.

3. The electrical stimulation assisted positioning system based on pressure sensing technology according to claim 2, characterized in that: The pulse data unit marks the pulse data as Among them, t n Indicates the start time of pulse collection. There are x0 pulse data in each pulse data group. x is used to indicate the number of the current pulse data in the data group, and x≤x0. The interval time of each collection in the pulse data collection group is Q1 seconds. The expression of the pulse data group is: The expression of the pulse data matrix is ​​as follows:

4. The electrical stimulation assisted positioning system based on pressure sensing technology according to claim 1, characterized in that: The expression of the skin resistance matrix formula is as follows:

5. The electrical stimulation assisted positioning system based on pressure sensing technology according to claim 1, characterized in that: The expression of the pressure difference matrix formula is as follows:

6. The electrical stimulation assisted positioning system based on pressure sensing technology according to claim 1, characterized in that: The calculation process of the fluctuation data group Bdsj is as follows: The pulse trend degree and skin resistance trend degree are calculated according to the trend degree calculation formula, and the calculation formula is as follows: Trend = ∑ (actual value - average value) / standard deviation The pulse trend calculation formula is as follows: The calculation formula of skin resistance trend is as follows: In the formula, Bdsj represents the fluctuation data group, Indicates pulse data, Indicates the pulse trend. Indicates the inverse of the trend of the skin resistance data set.

7. The electrical stimulation assisted positioning system based on pressure sensing technology according to claim 6, characterized in that: The pulse analysis unit is provided with a monitoring cycle Q of a fixed duration. Within a single monitoring cycle Q, if the absolute values ​​of the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are larger, it indicates that the trend is stronger and the fluctuation amplitude of the wearer's pulse data and skin resistance data is larger.

8. The electrical stimulation assisted positioning system based on pressure sensing technology according to claim 7, characterized in that: In the single monitoring cycle Q, if the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are both negative numbers, it means that the wearer's pulse data is on a downward trend, and the opposite number of the wearer's skin resistance data is a downward trend, indicating that the treatment is effective. The treatment analysis unit adjusts the control signal according to the current pulse data and the absolute value of the trend degree, generates pulse outputs of different intensities or frequencies, and allows the patient's heart rate to return to and maintain within a healthy range; If the pulse trend degree and the skin resistance trend degree in the fluctuation data group Bdsj are both positive numbers, it means that the wearer's pulse data is on an upward trend, and the opposite number of the wearer's skin resistance data is on an upward trend, indicating that the current treatment cannot curb the deterioration of the disease. The treatment analysis unit outputs an enhanced control signal to increase the pulse intensity of the pulse output device.

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