Dialectical acupoint selection method and dialectical acupoint selection system for treating senile intractable insomnia through sleeve type wrist-ankle needle

Abstract

The invention discloses a dialectical acupoint selection method and a dialectical acupoint selection system for treating senile intractable insomnia by using a sleeve type wrist-ankle needle, which comprises the following steps of: acquiring symptom and sign information of a patient in multiple dimensions, screening a target syndrome type range by comparing five syndrome types, determining a candidate acupoint selection area by combining meridian circulation and wrist-ankle needle partition positioning, screening a preset acupoint through acupoint specificity analysis, and selecting a target acupoint selection area according to the preset acupoint selection area. The acupuncture angle, depth and operation sequence are planned, and finally a personalized scheme is formed; the system comprises six units including a symptom and sign acquisition unit, a syndrome type matching analysis unit, a meridian partition association mapping unit, a preset acupoint screening evaluation unit, an acupuncture parameter planning unit and a scheme integration output unit, and all the units are coordinated and linked to achieve whole-process standardized operation. The method and the system take dialectical therapy as a core, establish systematic association of syndrome types, meridians and collaterals, acupuncture points and acupuncture parameters, improve the accuracy and consistency of acupuncture point selection, provide scientific and normative personalized treatment support for senile intractable insomnia, and are suitable for traditional Chinese medicine clinical treatment scenes.

Description

Technical Field

[0001] This invention relates to the field of acupoint selection based on syndrome differentiation for insomnia, and particularly to a method and system for acupoint selection based on syndrome differentiation in the treatment of intractable insomnia in the elderly using a cannula-type wrist-ankle acupuncture. Background Technology

[0002] Intractable insomnia in the elderly is a common sleep disorder, characterized by its prolonged and recurring course, often accompanied by complications such as emotional disturbances and physical discomfort, severely impacting their quality of life and mental and physical health. In clinical practice, conventional drug treatments are prone to problems such as dependence, drug resistance, and adverse reactions. However, wrist-ankle acupuncture, an important branch of external therapies in Traditional Chinese Medicine (TCM), is gaining increasing attention in the treatment of intractable insomnia in the elderly due to its advantages of simple operation, high safety, and few side effects. This therapy, based on the principles of TCM syndrome differentiation and treatment, stimulates specific areas and acupoints in the wrist and ankle to regulate the flow of Qi and blood in the meridians and balance the functions of the internal organs to improve sleep. However, current clinical applications lack a systematic and standardized method for selecting acupoints based on syndrome differentiation, leading to insufficient accuracy in matching syndrome types with acupoints and limiting further improvement in treatment efficacy. There is an urgent need to construct a scientific and comprehensive method and system for selecting acupoints based on syndrome differentiation to achieve personalized and precise treatment.

[0003] Existing technologies have two significant drawbacks: First, the diagnostic acupoint selection lacks quantitative support and standardized procedures, relying heavily on physicians' clinical experience to determine syndrome types and select acupoints. Subjective factors have a significant impact, and different physicians have different understandings of syndrome types and acupoint selections, resulting in poor consistency in acupoint selection and making it difficult to form a unified and standardized treatment plan, affecting the stability and repeatability of treatment effects. Second, the systematic correlation between syndrome types, meridians, acupoints, and acupuncture parameters has not been fully realized. Existing methods often consider a single factor in isolation, failing to combine the individual differences of elderly patients and establish a dynamic adaptation mechanism for syndrome types, meridian zoning, preset acupoints, acupuncture angles and depths, and operation sequences. This results in insufficient targeting of acupoint selection plans, failing to accurately match the pathophysiological characteristics of elderly patients with different syndrome types of refractory insomnia, thus restricting the full realization of the therapeutic efficacy of cannula-type wrist-ankle acupuncture. Summary of the Invention

[0004] In order to overcome the shortcomings and deficiencies of existing technologies, this invention provides a method and system for dialectical acupoint selection in the treatment of intractable insomnia in the elderly using a cannula-type wrist-ankle acupuncture.

[0005] The technical solution adopted in this invention is a method for selecting acupoints based on syndrome differentiation in treating senile intractable insomnia using a cannula-type wrist-ankle acupuncture, comprising steps S1 to S6: S1, establishing a set of symptom and sign information by collecting symptom and sign information from elderly patients with senile intractable insomnia, including sleep duration, emotional state, physical discomfort, tongue characteristics, pulse data, and diet and bowel function; S2, based on the set of symptom and sign information, and comparing it with the clinical manifestations and syndrome mechanisms of five syndrome types—liver fire in the heart, phlegm-heat disturbing the heart, deficiency of both heart and spleen, disharmony between heart and kidney, and deficiency of heart and gallbladder qi—to initially screen for target syndrome types with high matching degree; S3, determining candidate acupoints based on the meridian pathways corresponding to the target syndrome types and the wrist-ankle acupuncture zoning and positioning rules. The acupoint areas are defined as follows: S4, the candidate acupoint areas are combined with the corresponding meridians of the viscera and the corresponding areas of the wrist and ankle acupuncture: upper left 1 area, upper left 2 area, upper left 4 area, upper right 2 area, upper right 4 area, lower right 2 area, and lower right 5 area; S5, the acupoint specificity of the candidate acupoint areas is analyzed, and the pre-set acupoint sites are selected by combining the strength of the qi and blood correlation between the acupoints and the viscera related to insomnia and the frequency of clinical application; S6, according to the distribution characteristics of the pre-set acupoint sites, the needling angle, depth and operation sequence of the sleeve-type wrist and ankle acupuncture are planned, and the operation sequence is formulated according to the direction of qi and blood flow of the meridians and the characteristics of the pathogenesis of the syndrome; S7, the analysis results are integrated to form a personalized dialectical acupoint selection plan for the specific syndrome of elderly patients with intractable insomnia.

[0006] Furthermore, in step S2, a certificate type matching degree calculation model is used to determine the target certificate type range. The model formula is as follows: ,in This represents the degree of matching between the i-th patient and the j-th syndrome type. Let k be the quantified value of the kth symptom / sign of the i-th patient. Let be the weighting coefficient of the k-th symptom / sign for the j-th syndrome type, and n be the total number of symptom / sign indicators. This is a correction coefficient used to adjust the degree of influence of the difference between the quantitative value of symptoms and signs and the weighting coefficient on the matching degree.

[0007] Furthermore, in step S3, candidate acupoint regions are determined using a meridian-regional association model, with the following formula: ,in This indicates the correlation strength between the p-th meridian and the q-th wrist-ankle acupuncture zone. Let m be the correlation parameter of the m-th acupoint on the p-th meridian. Let p be the location parameter for the m-th point in the q-th wrist-ankle acupuncture zone, and p be the total number of associated meridians. This is the meridian weighting coefficient. This is the zone adjustment coefficient.

[0008] Furthermore, in step S4, an acupoint selection model is used to determine the preset acupoint locations. The model formula is as follows: ,in Let t be the selection priority for the t-th acupoint. Let be the correlation coefficient between the t-th acupoint and the s-th type of insomnia symptom. Let be the effective value for clinical application of the t-th acupoint. Let be the distance parameter between the t-th acupoint and its adjacent acupoints. Let be the acupuncture angle parameter for the t-th acupoint. t is the priority correction coefficient, and t is the total number of candidate acupoints.

[0009] Furthermore, in step S5, the acupuncture parameters are planned using an operation parameter optimization model. The model formula is as follows: ,in For the u-th preset acupoint, the v-th operation parameter value is... These are the basic parameters for the acupuncture angle. This is the basic parameter for acupuncture depth. The sorting parameter is used to determine the order of operations. For angle weighting coefficients, For depth weighting coefficients, This is the order adjustment coefficient. This is a time correction factor. The phase angle is the parameter variation, and T is the operating cycle parameter.

[0010] Furthermore, in step S6, a scheme integration model is used to form a personalized acupoint selection scheme. The model formula is as follows: ,in For the personalized treatment plan integration value of the r-th patient, For the k-th certificate type matching parameter, The selection parameters for the k-th preset acupoint are: Let r be the k-th acupuncture operation parameter, and r be the total number of elements constituting the scheme. To integrate the adjustment coefficient.

[0011] Further, S3 includes the following sub-steps: S31, based on the syndrome mechanism summary corresponding to the target syndrome type range, extract the information on the dysfunction of the internal organs involved in the syndrome type, identify the meridian system directly related to the dysfunctional organs, and sort out the circulation path of each related meridian and its distribution area in the wrist and ankle; S32, consult the wrist and ankle acupuncture zoning and positioning standards, identify the corresponding anatomical range and meridian affiliation of each of the upper left 1 zone, upper left 2 zone, upper left 4 zone, upper right 2 zone, upper right 4 zone, lower right 2 zone, and lower right 5 zone, and establish a database of the correspondence between zoning and meridians; S33, compare the distribution area of ​​the meridian associated with the target syndrome type with the wrist and ankle acupuncture zoning, screen out the overlapping areas as preliminary candidate acupoint areas, and adjust the range of the preliminary candidate areas in combination with the parts of abnormal qi and blood circulation in the syndrome pathogenesis; S34, according to the characteristics of the qi and blood deficiency of the meridians, prioritize the adjusted candidate acupoint areas, and select the zoning corresponding to the qi and blood circulation calibration nodes as the preset candidate areas to form the final set of candidate acupoint areas.

[0012] Further, S4 includes the following sub-steps: S41, collecting basic information on all acupoints within the candidate acupoint area, including acupoint name, anatomical location, adjacent relationship with surrounding tissues, and clinical application records, to establish an acupoint basic information database; S42, analyzing the meridian connection strength between each acupoint and the organs related to insomnia, and quantifying the regulatory potential of acupoints on organ function by sorting out the exterior-interior correspondence between acupoints and organs and meridian conduction pathways in traditional Chinese medicine theory; S43, statistically analyzing the clinical application frequency and related efficacy feedback data of different acupoints in the treatment of refractory insomnia in the elderly, extracting the effectiveness characteristics of acupoint application, and excluding acupoints with a high incidence of adverse reactions in clinical application; S44, combining the connection strength between acupoints and organs and clinical application characteristics, using a multi-dimensional evaluation method to comprehensively score candidate acupoints, and selecting the top-ranked acupoints as preset acupoint locations based on the score results.

[0013] Further, S5 includes the following sub-steps: S51, for each preset acupoint, determine the safe angle range for acupuncture based on its location in the wrist-ankle acupuncture zone, anatomical position, and the distribution of adjacent blood vessels and nerves, to avoid damage to important tissues during acupuncture; S52, based on the syndrome pathogenesis corresponding to the preset acupoint, combined with the clinical norms for wrist-ankle acupuncture depth, and taking into account individual differences in patient age, constitution, and skin thickness, adjust and determine the specific acupuncture depth; S53, based on the direction of Qi and blood flow in the associated meridians, following the acupuncture principle of tonifying with the flow of Qi and reducing with the flow of Qi, and combined with the therapeutic effect required by the syndrome, plan the acupuncture sequence for different marked acupoints; S54, comprehensively verify the determined acupuncture angle, depth, and sequence to ensure that different operational parameters are compatible with each other, conform to the operational characteristics of the cannula-type wrist-ankle acupuncture, and meet the patient's tolerance.

[0014] A system for selecting acupoints based on syndrome differentiation in treating senile intractable insomnia using a cannula-type wrist-ankle acupuncture is presented. This system comprises: a multi-dimensional symptom and sign acquisition unit, used to collect patient sleep-related data, emotional state indicators, physical discomfort manifestations, tongue and pulse information, and dietary and bowel function data via sensors and manual input, converting and storing the different types of information into standardized data formats; a syndrome type intelligent matching and analysis unit, connected to the multi-dimensional symptom and sign acquisition unit, calling upon a preset syndrome type diagnostic database, comparing the patient's symptom and sign data with the clinical manifestations and syndrome mechanism summaries of five syndrome types, and outputting the target syndrome type range; and a meridian zone association mapping unit, interconnected with the syndrome type intelligent matching and analysis unit, retrieving the meridian circulation database and wrist-ankle acupuncture zone positioning rule base based on the target syndrome type range to establish a meridian zone mapping system. The system establishes a correlation between the meridian and wrist-ankle acupuncture zones, outputting candidate acupoint areas. A preset acupoint screening and evaluation unit communicates bidirectionally with the meridian zone correlation mapping unit, performing meridian correlation strength analysis, clinical application frequency statistics, and safety assessment on acupoints within the candidate areas to select preset acupoint locations. A dynamic acupuncture parameter planning unit connects to the preset acupoint screening and evaluation unit, dynamically adjusting acupuncture angle, depth, and operation sequence parameters based on the anatomical characteristics of the preset acupoint locations, individual patient differences, and syndrome differentiation treatment needs. A personalized solution integration and output unit connects to the multi-dimensional symptom and sign acquisition unit, the syndrome differentiation intelligent matching analysis unit, the meridian zone correlation mapping unit, the preset acupoint screening and evaluation unit, and the dynamic acupuncture parameter planning unit, integrating the output results of different units to generate a structured, personalized, dialectical acupoint selection plan and displaying it in a visual format.

[0015] Beneficial effects: This invention proposes a dialectical acupoint selection method and system for treating intractable insomnia in the elderly using a cannula-type wrist-ankle acupuncture. It relies on a standardized syndrome matching process to accurately locate the target syndrome, combines the meridian circulation and wrist-ankle acupuncture zoning rules to determine the candidate acupoint areas, screens preset acupoints through acupoint specificity analysis and dynamically plans acupuncture parameters, and finally forms a personalized plan. At the same time, it realizes the systematic operation of the whole process through six functional units. This invention establishes a standardized dialectical acupoint selection process, integrating the correlation logic of syndrome types, meridians, acupoints, and acupuncture parameters. By replacing subjective experience-based judgment with objective analysis, it effectively overcomes the shortcomings of poor consistency and lack of unified standards in existing technologies, improving the stability and repeatability of treatment plans. Through multi-dimensional assessment of individual patient differences, syndrome characteristics, and acupoint properties, it constructs a dynamic adaptation mechanism for syndrome types, meridian zones, preset acupoints, and acupuncture parameters, achieving personalized and precise acupoint selection. This specifically matches the pathophysiological characteristics of elderly patients with different syndrome types, solving the problems of insufficient acupoint targeting and failure to systematically connect multiple key factors in existing technologies. It fully leverages the therapeutic efficacy of the cannula-type wrist-ankle acupuncture, providing scientific, standardized, and efficient treatment support for elderly patients with intractable insomnia. Attached Figure Description

[0016] Figure 1 This is a flowchart of the method steps of the present invention; Figure 2 This is a diagram showing the system unit composition of the present invention. Detailed Implementation

[0017] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0018] like Figure 1 As shown, the method of selecting acupoints for treating intractable insomnia in the elderly using a cannula-type wrist-ankle acupuncture includes steps S1 to S6: S1. By collecting symptom and sign information of elderly patients with refractory insomnia, including sleep duration, emotional state, physical discomfort, tongue appearance, pulse data, and diet and bowel movements, a set of symptom and sign information is established. Specifically, S1 acquires symptom and sign information of elderly patients with refractory insomnia through multi-dimensional data collection methods. These methods include objective sensor monitoring and standardized manual recording. Sleep duration is collected continuously over 72 hours using sleep monitoring equipment, accurately recording the cumulative duration from sleep onset to wakefulness and the number of awakenings each night. Emotional state is quantitatively assessed using standardized scales, including six core emotional indicators such as anxiety, depression, and irritability, each graded from 0 to 10. Physical discomfort symptoms are primarily collected, including headache, chest tightness, fatigue, and limb numbness. Twelve types of physical symptoms related to insomnia were identified, specifying their frequency, duration, and severity. Tongue characteristics were recorded by a professional physician using high-definition image acquisition equipment, capturing five key parameters including tongue color, coating thickness, and coating color, while also noting tongue shape and moisture level. Pulse data was collected using a pulse oximeter to capture radial artery pulsation signals, extracting eight characteristic parameters such as pulse rate, pulse strength, and pulse shape, with a sampling frequency of 200Hz and a collection time of at least 60 seconds. Diet and bowel / urine information was recorded through a structured questionnaire, recording seven items: daily food types, food intake, frequency of bowel movements, stool characteristics, and urination. All collected information was categorized and organized according to unified data standards. After removing abnormal data, a symptom and sign information set including 38 specific indicators was established, providing comprehensive and accurate basic data support for subsequent syndrome matching. The collection process strictly adhered to medical ethical guidelines to ensure the authenticity and completeness of the data.

[0019] S2. Based on the set of symptoms and signs, compare the clinical manifestations and syndrome mechanisms of the five syndrome types (liver fire over the heart, phlegm-heat disturbing the heart, deficiency of both heart and spleen, disharmony between heart and kidney, and deficiency of heart and gallbladder qi) to preliminarily screen the target syndrome types with a high degree of matching. Specifically, S2, based on the symptom and sign information set established in S1, performs a matching analysis against the standardized clinical manifestations and pathogenesis summaries of five syndrome types: Liver Fire Exceeding the Heart, Phlegm-Heat Disturbing the Heart, Heart and Spleen Deficiency, Heart-Kidney Disharmony, and Heart-Gallbladder Qi Deficiency. Each syndrome type has 15-20 pre-set core diagnostic indicators, clearly defining the typical manifestations and associated weights of each indicator. For the Liver Fire Exceeding the Heart syndrome, the focus is on matching characteristic indicators such as irritability, bitter taste in the mouth, dry throat, headache, and flushed face; for the Phlegm-Heat Disturbing the Heart syndrome, the focus is on key manifestations such as chest tightness, excessive phlegm, abdominal distension, belching, and a yellow, greasy tongue coating; for the Heart-Spleen Deficiency syndrome, the focus is on core symptoms such as fatigue, loss of appetite, and sallow complexion; for the Heart-Kidney Disharmony syndrome, the focus is on indicators such as lower back and knee weakness, night sweats, palpitations, and forgetfulness; and for the Heart-Gallbladder Qi Deficiency syndrome, the focus is on matching timidity, easy startling, vivid dreams, easy awakening, and a thready, wiry pulse. The matching process employs a hierarchical comparison mechanism. First, core indicators are preliminarily screened, and then the overall matching degree is calculated through comprehensive correlation analysis. A matching degree threshold of 0.75 is set, and 1-2 syndrome types with matching degrees higher than the threshold are selected as the target syndrome type range. If multiple syndrome types are cross-matched, the pathogenesis correlation logic in the syndrome mechanism summary is further combined for identification to ensure the accuracy of the target syndrome type range and provide a reliable syndrome type basis for subsequent acupoint selection.

[0020] S3. Based on the meridian pathways corresponding to the target syndrome and the wrist and ankle acupuncture zoning and positioning rules, candidate acupuncture points are determined. The candidate acupuncture points are combined with the correspondence between the viscera-related meridians corresponding to the syndrome and the wrist and ankle acupuncture points: upper left 1, upper left 2, upper left 4, upper right 2, upper right 4, lower right 2, and lower right 5. Specifically, S3 determines the candidate acupoint areas based on the meridian pathways corresponding to the target syndrome and the wrist-ankle acupuncture zoning rules. The meridian pathways strictly follow the standards of traditional Chinese medicine meridian theory, clearly defining the core associated meridians for each syndrome. For example, the liver fire syndrome is associated with the Foot Jueyin Liver Meridian and the Hand Shaoyin Heart Meridian; the phlegm-heat syndrome is associated with the Hand Taiyin Lung Meridian and the Foot Yangming Stomach Meridian; the heart and spleen deficiency syndrome is associated with the Hand Shaoyin Heart Meridian and the Foot Taiyin Spleen Meridian; the heart and kidney disharmony syndrome is associated with the Hand Shaoyin Heart Meridian and the Foot Shaoyin Kidney Meridian; and the heart and gallbladder qi deficiency syndrome is associated with the Hand Shaoyin Heart Meridian and the Foot Shaoyang Gallbladder Meridian. The wrist-ankle acupuncture zoning follows these rules: upper left zone 1 corresponds to the forehead, eyes, and nose; upper left zone 2 corresponds to the temporal region, ear, and jaw; upper left zone 4 corresponds to the upper limb and upper chest and back; upper right zone 2 corresponds to the right temporal region, ear, and jaw; upper right zone 4 corresponds to the right upper limb and upper chest and back; lower right zone 2 corresponds to the right lower limb and lower back and buttocks; and lower right zone 5 corresponds to the perineum and perianal region. By establishing a four-level correspondence between syndrome type, internal organs, meridians, and zones, the wrist and ankle distribution areas of the meridians associated with the target syndrome type are precisely mapped to the aforementioned wrist-ankle acupuncture zones. This clarifies the specific coverage area of ​​each associated meridian within the wrist-ankle acupuncture zone. Combining the locational characteristics of abnormal Qi and blood circulation in the syndrome pathogenesis, the mapped zones are fine-tuned to ultimately determine 2-3 candidate acupoint areas that highly match the target syndrome type, ensuring a targeted correlation between the acupoint areas and the syndrome pathogenesis.

[0021] S4. Perform acupoint specificity analysis on the candidate acupoint areas, and select the preset acupoints by combining the strength of the Qi and blood relationship between the acupoints and the organs related to insomnia and the frequency of clinical application. Specifically, S4 performs specificity analysis on acupoints within the candidate acupoint selection area, screening preset acupoint sites. First, it identifies 3-5 common acupoints within each candidate acupoint selection area, collecting basic information such as anatomical location, meridian affiliation, and clinical application of each acupoint to establish an acupoint feature database. During the analysis, the focus is on evaluating the strength of the Qi and blood correlation between acupoints and the organs related to insomnia. A combination of meridian conduction path analysis and clinical data validation is used to quantify the regulatory potential of acupoints on the corresponding organ functions. The correlation strength score range is set from 0 to 10 points, with acupoints scoring above 8 points classified as highly correlated acupoints. Simultaneously, the frequency of application of each acupoint in the clinical treatment of refractory insomnia in the elderly over the past 5 years is statistically analyzed. The top 30% of acupoints by application frequency are selected as high-frequency effective acupoints. Based on clinical efficacy feedback data, acupoints with an adverse reaction rate higher than 3% are excluded. Further analysis of the distance relationship between acupoints and adjacent acupoints was conducted to ensure that the distance between preset sites was not less than 1.5 cm to avoid mutual interference during acupuncture. A multi-dimensional comprehensive scoring method was adopted, with weighted scores based on four dimensions: the strength of Qi and blood correlation, the frequency of clinical application, safety, and the distance between acupoints. The weights of each dimension were set to 0.4, 0.3, 0.2, and 0.1, respectively. The top 2-3 acupoints were selected as preset acupoints based on the scoring results to ensure the targeting, effectiveness, and safety of the preset sites.

[0022] S5. Based on the distribution characteristics of the preset acupoints, plan the needling angle, depth and operation sequence of the cannula wrist-ankle needle. The operation sequence is formulated according to the direction of meridian qi and blood flow and the characteristics of syndrome pathogenesis. Specifically, S5 plans the needling angle, depth, and operation sequence of the cannula-type wrist-ankle acupuncture based on the distribution characteristics of preset acupoints. The needling angle is determined according to the anatomical features and meridian pathways of the acupoint's location. For acupoints located on the medial or anterior side of the limb, such as the upper left 1st zone and upper right 2nd zone, the needling angle is set at 15-20 degrees to the skin. For acupoints located on the lateral or posterior side of the limb, such as the upper left 4th zone and lower right 2nd zone, the needling angle is adjusted to 20-25 degrees to ensure the needling direction aligns with the meridian pathway. The needling depth is individually adjusted based on the patient's age, constitution, and skin thickness. For patients aged 60-70, the needling depth is set at 12-15 mm; for patients aged 71-80, it is adjusted to 10-12 mm; and for patients over 80, it is set at 8-10 mm. Simultaneously, the depth is considered based on the muscle and fat thickness of the acupoint location, increasing the depth by 2-3 mm in areas with thicker fat and decreasing it by 1-2 mm in areas with thinner fat. The operation sequence is determined based on the direction of Qi and blood circulation in the meridians and the characteristics of the syndrome and pathogenesis. It follows the basic principles of "Yang meridians first, then Yin meridians; upper limbs first, then lower limbs; proximal ends first, then distal ends". Patients with excess syndromes such as liver fire in the heart and phlegm-heat disturbing the heart are operated on in the order of "draining", while patients with deficiency syndromes such as heart and spleen deficiency and heart and kidney disharmony are operated on in the order of "tonifying". The acupuncture interval for each preset point is set to 30 seconds. During the operation, the continuity and stability of the acupuncture movements are maintained to ensure that the acupuncture parameters are highly compatible with the characteristics of the preset points, the individual condition of the patient and the treatment needs of the syndrome.

[0023] S6. Integrate the analysis results to form a personalized acupoint selection plan based on the specific syndrome type of elderly patients with intractable insomnia.

[0024] Specifically, S6 integrates all the analysis results from S1 to S5 to form a personalized acupuncture point selection plan for the specific syndrome type of elderly patients with intractable insomnia. The integration process employs a structured data fusion mechanism, systematically integrating 38 indicators from the symptom and sign information set, the core diagnostic criteria for the target syndrome type, the meridian zoning correlation data of the candidate acupuncture point areas, the multi-dimensional evaluation results of the preset acupuncture points, and parameters such as acupuncture angle, depth, and operation sequence. The plan clearly indicates the patient's specific syndrome type diagnosis results and diagnostic criteria, details the names, anatomical locations, and positioning methods of 2-3 preset acupuncture points, precisely specifies the specific values ​​for the acupuncture angle and depth, and the operation sequence for each acupuncture point. It also includes precautions during acupuncture, such as pre-acupuncture skin disinfection procedures, key points for observing patient reactions during acupuncture, and post-acupuncture nursing measures. The plan is presented in a standardized document format, divided into five modules: patient basic information, syndrome type diagnosis, acupuncture point selection plan, operation specifications, and precautions. Each module has clear information classification and expression requirements to ensure the readability and operability of the plan. During the integration process, various data are cross-validated to check the compatibility between syndrome types and acupoints, the matching degree between acupuncture parameters and acupoint characteristics, and to correct data deviations in a timely manner. The resulting personalized treatment plan not only conforms to the principles of syndrome differentiation and treatment in traditional Chinese medicine, but also has clear technical parameters and operational standards, providing a comprehensive, accurate and standardized basis for clinical treatment.

[0025] Preferably, in step S2, a certificate type matching degree calculation model is used to determine the target certificate type range, and the model formula is: ,in This represents the degree of matching between the i-th patient and the j-th syndrome type. Let k be the quantified value of the kth symptom / sign of the i-th patient. Let be the weighting coefficient of the k-th symptom / sign for the j-th syndrome type, and n be the total number of symptom / sign indicators. This is a correction coefficient used to adjust the degree of influence of the difference between the quantitative value of symptoms and signs and the weighting coefficient on the matching degree.

[0026] Specifically, the S2 syndrome matching degree calculation achieves precise screening of the target syndrome range by constructing a comprehensive correlation analysis model. This model uses the patient's symptom and sign quantitative values ​​and syndrome symptom and sign weight coefficients as core input data. The symptom and sign quantitative values ​​are converted from 38 indicators collected in S1 into quantitative data of 0-10 points according to a unified standard. The syndrome symptom and sign weight coefficients are set according to the core diagnostic points of the five syndromes and clinical treatment guidelines. The core symptom weight coefficients for syndromes such as liver fire in the heart, phlegm-heat disturbing the heart, deficiency of both heart and spleen, disharmony between heart and kidney, and deficiency of heart and gallbladder qi are set at 0.8-1.0, the secondary symptom weight coefficients are set at 0.5-0.7, and the general symptom weight coefficients are set at 0.2-0.4. In the model calculation process, a weighted summation operation is first used to obtain the basic matching values ​​between patient symptoms and each syndrome type. Then, normalization is used to eliminate the influence of differences in indicator dimensions on the results. Finally, a correction coefficient is introduced to adjust the difference between the symptom quantification value and the weight coefficient. The correction coefficient ranges from 0.3 to 0.6. When the difference between the symptom quantification value and the weight coefficient is large, an exponential function is used to reduce its influence on the matching degree; when the difference is small, the adjustment magnitude is reduced. In implementation, the 38 symptom and sign quantification values ​​of the patient and the corresponding weight coefficients of the five syndrome types are substituted into the model to calculate five matching degree values. Then, a matching degree threshold of 0.75 is set, and syndrome types with matching degrees higher than the threshold are selected as the target syndrome type range. If multiple syndrome types meet the matching degree threshold, they are ranked according to the matching degree value to determine the priority, ensuring the objectivity and accuracy of the target syndrome type range and providing a reliable basis for subsequent acupoint selection analysis.

[0027] Preferably, in step S3, candidate acupoint regions are determined using a meridian-regional association model, and the model formula is as follows: ,in This indicates the correlation strength between the p-th meridian and the q-th wrist-ankle acupuncture zone. Let m be the correlation parameter of the m-th acupoint on the p-th meridian. Let p be the location parameter for the m-th point in the q-th wrist-ankle acupuncture zone, and p be the total number of associated meridians. This is the meridian weighting coefficient. This is the zone adjustment coefficient.

[0028] Specifically, the S3 meridian-region correlation analysis constructs a dedicated model to quantify the correlation strength between meridians and wrist-ankle acupuncture regions. The model input parameters include meridian-acupoint correlation parameters and wrist-ankle acupuncture region location parameters. The meridian-acupoint correlation parameters are set according to the affiliation relationship between meridians and acupoints and the intensity of Qi and blood conduction. The correlation parameter value for preset locations is 0.8-1.0, the correlation parameter value for secondary acupoints is 0.5-0.7, and the correlation parameter value for associated acupoints is 0.3-0.4. The wrist-ankle acupuncture region location parameters are determined based on the anatomical range of the region and its adjacent relationship with the meridians. The location parameter value for the location of the region's central area is 0.9-1.0, the location parameter value for the location of the region's edge area is 0.6-0.8, and the location parameter value for the location of the region's boundary area is 0.4-0.5. The model calculation first uses a weighted summation operation to obtain the basic correlation strength between meridians and regions, with the meridian weight coefficient ranging from 0.6 to 0.8. Then, a logarithmic operation is used to optimize the basic correlation strength, with the region adjustment coefficient ranging from 0.3 to 0.5, enhancing the influence of core sites and key acupoints on the correlation strength. During implementation, for each meridian associated with the target syndrome, the correlation strength is calculated with seven wrist-ankle acupuncture regions. The correlation strength value between each meridian and each region is obtained, and a correlation strength threshold of 0.7 is set. Regions with correlation strengths higher than the threshold are selected as preliminary candidate acupoint areas. Further adjustments are made based on the abnormal qi and blood circulation locations in the syndrome pathogenesis, ultimately determining candidate acupoint areas that highly match the target syndrome, ensuring accurate correlation between acupoint areas and meridians.

[0029] Preferably, in step S4, an acupoint selection model is used to determine the preset acupoint locations, and the model formula is: ,in Let t be the selection priority for the t-th acupoint. Let be the correlation coefficient between the t-th acupoint and the s-th type of insomnia symptom. Let be the effective value for clinical application of the t-th acupoint. Let be the distance parameter between the t-th acupoint and its adjacent acupoints. Let be the acupuncture angle parameter for the t-th acupoint. t is the priority correction coefficient, and t is the total number of candidate acupoints.

[0030] Specifically, in the S4 acupoint selection process, a multi-dimensional evaluation model is established to determine the selection priority of preset acupoints. The model input parameters include the correlation coefficient between acupoints and insomnia symptoms, the clinical efficacy value of acupoints, the distance parameter between acupoints and adjacent acupoints, and the acupuncture angle parameter. The correlation coefficient between acupoints and insomnia symptoms is set based on the correspondence between acupoints and internal organs in Traditional Chinese Medicine theory and clinical efficacy data. The correlation coefficient for acupoints that directly regulate core insomnia symptoms is set at 0.8-1.0, while the correlation coefficient for acupoints that indirectly improve symptoms is set at 0.5-0.7. The clinical efficacy value of acupoints is derived from statistical analysis of clinical treatment data over the past 5 years; acupoints with an effectiveness rate higher than 80% have an efficacy value of [value missing]. The effective value for acupoints with an effectiveness rate between 60% and 80% is 0.7-0.8, and for acupoints with an effectiveness rate below 60%, the effective value is 0.3-0.6. The distance parameter between acupoints and adjacent acupoints is converted to a standardized value in centimeters: 0.9-1.0 for distances ≥1.5 cm, 0.6-0.8 for distances between 1.0 and 1.5 cm, and 0.3-0.5 for distances <1.0 cm. The needling angle parameter is set according to the suitable needling angle range for acupoints: 0.8-1.0 for commonly used angles and 0.5-0.7 for special angles. The priority correction coefficient ranges from 0.2 to 0.4, adjusting the influence of the needling angle parameter on the priority through a sine function. During implementation, all parameters of acupoints within the candidate acupoint selection area are substituted into the model to calculate the screening priority value of each acupoint. The acupoints are sorted from high to low, and the top 2-3 acupoints are selected as preset acupoint selection points. At the same time, it is ensured that the spacing between preset points meets the requirements, taking into account the effectiveness, safety and rationality of acupoints.

[0031] Preferably, in step S5, the acupuncture parameters are planned by optimizing the model using operational parameters. The model formula is as follows: ,in For the u-th preset acupoint, the v-th operation parameter value is... These are the basic parameters for the acupuncture angle. This is the basic parameter for acupuncture depth. The sorting parameter is used to determine the order of operations. For angle weighting coefficients, For depth weighting coefficients, This is the order adjustment coefficient. This is a time correction factor. The phase angle is the parameter variation, and T is the operating cycle parameter.

[0032] Specifically, the S5 acupuncture parameter planning constructs an operation parameter optimization model to determine the acupuncture angle, depth, and operation sequence parameters for preset sites. The model input parameters include basic parameters for acupuncture angle, basic parameters for acupuncture depth, and operation sequence ranking parameters. The basic parameters for acupuncture angle are set according to the region where the acupoint is located and the direction of the meridian. The basic parameters for the angle of acupoints on the inner or anterior side of the limb are 15-20, and the basic parameters for the angle of acupoints on the outer or posterior side of the limb are 20-25. The basic parameters for acupuncture depth are set according to the age stratification of the patient. The basic parameters for the depth of patients aged 60-70 are 12-15, the basic parameters for the depth of patients aged 71-80 are 10-12, and the basic parameters for the depth of patients over 80 are 8-10. The operation sequence ranking parameters are set according to the meridian attributes and the direction of Qi and blood flow. The ranking parameters for Yang meridian acupoints are 1-3, the ranking parameters for Yin meridian acupoints are 4-6, the ranking parameters for upper limb acupoints are 1-2 and 4-5, and the ranking parameters for lower limb acupoints are 3-6. The angle weighting coefficient ranges from 0.4 to 0.5, the depth weighting coefficient ranges from 0.3 to 0.4, the sequence adjustment coefficient ranges from 0.2 to 0.3, the time correction coefficient ranges from 0.1 to 0.2, the parameter change phase angle ranges from 0 to π, and the operation cycle parameter ranges from 30 to 60. During model calculation, various parameters are comprehensively optimized through weighted summation, division, and integration. In implementation, preliminary operation parameter values ​​are first calculated by substituting the basic parameters, and then fine-tuned based on individual patient differences and acupoint characteristics. This ensures that the acupuncture angle, depth, and operation sequence both meet the standard requirements and are adapted to the patient's specific condition, improving the accuracy and safety of acupuncture operations.

[0033] Preferably, in step S6, a scheme integration model is used to form a personalized acupoint selection scheme, and the model formula is: ,in For the personalized treatment plan integration value of the r-th patient, For the k-th certificate type matching parameter, The selection parameters for the k-th preset acupoint are: Let r be the k-th acupuncture operation parameter, and r be the total number of elements constituting the scheme. To integrate the adjustment coefficient.

[0034] Specifically, step S6 involves scheme integration, establishing a personalized scheme integration model to achieve system fusion of various data. The model input parameters include symptom matching parameters, preset site screening parameters, and acupuncture operation parameters. The symptom matching parameter is the matching degree value calculated in step S2, ranging from 0 to 1.0; the higher the matching degree, the larger the parameter value. The preset site screening parameter is the screening priority value obtained in step S4, ranging from 0 to 1.0; the higher the priority, the larger the parameter value. The acupuncture operation parameters include standardized values ​​for acupuncture angle, depth, and operation sequence. The standardized angle parameter has a value of 0.8-1.0, the standardized depth parameter has a value of 0.7-1.0, and the standardized sequence parameter has a value of 0.6-1.0. The total number of scheme components is determined based on the actual integrated parameter categories, generally set to 8-12 items. The integration adjustment coefficient ranges from 0.3 to 0.5, and the synergistic effect of various parameters is enhanced through square root calculation. During implementation, the syndrome matching parameters, preset site selection parameters, and acupuncture operation parameters are first standardized, with a uniform value range of 0-1.0. These values ​​are then substituted into the model for weighted summation and square root calculation to obtain a personalized integrated value. Solutions with an integrated value higher than 0.8 are considered high-quality and require no adjustment. Solutions with an integrated value between 0.6 and 0.8 require minor adjustments to parameters with lower scores. Solutions with an integrated value lower than 0.6 require re-verification and correction of the preceding steps. The model calculation achieves the organic integration of various parameters, ensuring that the final personalized syndrome differentiation and acupuncture point selection plan is logically coherent, parameter-accurate, and highly operable, providing a comprehensive and standardized implementation basis for clinical treatment.

[0035] Preferably, step S3 includes the following sub-steps: S31, based on the syndrome mechanism summary corresponding to the target syndrome range, extract the information on organ dysfunction involved in the syndrome, identify the meridian system directly related to the dysfunctional organs, and sort out the circulation path of each related meridian and its distribution area in the wrist and ankle; S32, consult the wrist and ankle acupuncture zoning and positioning standards, identify the corresponding anatomical range and meridian affiliation of each of the upper left 1 zone, upper left 2 zone, upper left 4 zone, upper right 2 zone, upper right 4 zone, lower right 2 zone, and lower right 5 zone, and establish a database of correspondence between zoning and meridians; S33, compare the distribution area of ​​the meridian associated with the target syndrome with the wrist and ankle acupuncture zoning, screen out the overlapping areas as preliminary candidate acupoint areas, and adjust the range of the preliminary candidate areas in combination with the parts of abnormal qi and blood circulation in the syndrome pathogenesis; S34, according to the characteristics of the qi and blood deficiency of the meridians, prioritize the adjusted candidate acupoint areas, and preferentially select the zoning corresponding to the qi and blood circulation calibration node as the preset candidate areas to form the final set of candidate acupoint areas.

[0036] Specifically, step S3, the process of determining the candidate acupoint area, includes four sub-steps: S31, based on the syndrome mechanism summary corresponding to the target syndrome type, comprehensively extracts the specific manifestations of organ dysfunction involved in the syndrome type, identifies 1-3 core meridians directly related to the dysfunctional organs and 2-4 related meridians, systematically sorts out the complete circulation path of each meridian, and accurately marks the distribution area of ​​the meridians in the wrist and ankle and 3-5 key nodes of Qi and blood circulation to ensure the completeness and accuracy of meridian information; S32, strictly referring to the national standard for wrist and ankle acupuncture zoning in traditional Chinese medicine, clarifies the corresponding anatomical boundaries of the upper left 1, upper left 2, upper left 4, upper right 2, upper right 4, lower right 2, and lower right 5 zones, with each zone having a horizontal coverage of 2-3 cm and a vertical coverage of 3-4 cm. It records in detail the meridian affiliation and the scope of diseases it treats in each zone, and establishes a zoning and meridian system according to unified data specifications, including 8 core fields such as zone number, anatomical range, meridian name, treatment direction, and coordinate parameters. The database is used to determine the corresponding relationship, with the data accuracy controlled within 0.1 cm. S33 compares the meridian distribution area associated with the target syndrome with the wrist-ankle acupuncture partition information in the database point by point, with a comparison accuracy set at 0.5 cm. Areas with overlapping anatomical locations are precisely selected as preliminary candidate acupoint areas. Simultaneously, based on the specific location characteristics of abnormal Qi and blood circulation in the syndrome pathogenesis, the boundaries of the preliminary candidate areas are finely adjusted by 0.3-1.2 cm to ensure a high degree of consistency between the area range and the pathogenesis characteristics. S34, based on the theory of the waxing and waning of Qi and blood in traditional Chinese medicine meridians and the twelve-hour cycle of Qi and blood circulation, a 0-10 score system is used to prioritize the adjusted candidate acupoint areas. A Qi and blood node matching score threshold of 7.5 points is set, prioritizing 2-3 partitions that meet the score as core candidate areas. This ultimately forms a set of candidate acupoint areas, with each partition labeled with its priority ranking, Qi and blood matching score, and corresponding meridian Qi and blood basis, providing precise and clear guidance for subsequent acupoint selection.

[0037] Preferably, step S4 includes the following sub-steps: S41, collecting basic information on all acupoints within the candidate acupoint selection area, including acupoint name, anatomical location, adjacent relationship with surrounding tissues, and clinical application records, to establish an acupoint basic information database; S42, analyzing the meridian connection strength between each acupoint and the organs related to insomnia, and quantifying the regulatory potential of acupoints on organ function by sorting out the exterior-interior correspondence between acupoints and organs and meridian conduction pathways in traditional Chinese medicine theory; S43, statistically analyzing the clinical application frequency and related efficacy feedback data of different acupoints in the treatment of refractory insomnia in the elderly, extracting the effectiveness characteristics of acupoint application, and excluding acupoints with a high incidence of adverse reactions in clinical application; S44, combining the connection strength between acupoints and organs and clinical application characteristics, using a multi-dimensional evaluation method to comprehensively score candidate acupoints, and selecting the top-ranked acupoints as preset acupoint selection sites based on the score results.

[0038] Specifically, step S4, the acupoint selection process, includes four sub-steps: S41 comprehensively collects basic information on 3-5 conventional acupoints within the candidate acupoint area, including the standard name of the acupoint, precise anatomical coordinates (accuracy up to 0.1 cm), proximity to surrounding blood vessels and nerves (accurately recorded to 0.1 cm), acupoint hierarchical structure, and application cases recorded in historical literature and modern clinical practice. A structured acupoint basic information database is established, categorized by acupoint name, and includes six modules: basic attributes, anatomical data, clinical applications, and safety parameters. The data in the database undergoes three rounds of review and confirmation by clinicians to ensure its authenticity and accuracy. S42 deeply analyzes the meridian connection strength between each acupoint and the organs related to insomnia, systematically sorting out the exterior-interior correspondence between acupoints and organs in traditional Chinese medicine theory, the specific direction of meridian conduction pathways, and the efficiency of qi and blood conduction. Combining the research results of modern medical neuroanatomy and physiology, a 0-10 scoring system is used to quantitatively evaluate the regulatory potential of each acupoint on the corresponding organ function. A score of 6 or above is classified as acupoint with high regulatory potential, and a score of 4-5.9 is classified as acupoint with medium regulatory potential. Acupoints scoring 4 points or below are considered to have low regulatory potential; S43: Statistical analysis of the frequency of application of each acupoint in the clinical treatment of refractory insomnia in the elderly over the past 5 years, requiring a sample size of no less than 1000 cases, and detailed recording of the onset time (accurate to the day), degree of symptom improvement (assessed using a 0-10 scale), duration of treatment, and other effectiveness parameters for each application. Simultaneously, strict screening of adverse reaction cases occurring in clinical application should be conducted, clarifying the manifestations, occurrence time, and treatment methods of adverse reactions, setting an adverse reaction incidence threshold of 3%, and excluding acupoints with an incidence exceeding the threshold; S44 Combining the correlation strength score between acupoints and internal organs, clinical application frequency, efficacy parameters, and safety data, a multi-dimensional evaluation method was used to comprehensively score candidate acupoints. The evaluation dimensions included correlation strength (weight 0.4), application frequency (weight 0.3), efficacy (weight 0.2), and safety (weight 0.1). Based on a total score of 100, 2-3 acupoints with scores of 80 or above were selected as preset acupoints. At the same time, it was ensured that the distance between preset acupoints was not less than 1.5 cm, taking into account the relevance, efficacy, and safety of the acupoints.

[0039] Preferably, step S5 includes the following sub-steps: S51, for each preset acupoint, determine the safe angle range for acupuncture based on its location within the wrist-ankle acupuncture zone, anatomical position, and the distribution of adjacent blood vessels and nerves, to avoid damage to important tissues during acupuncture; S52, based on the syndrome pathogenesis corresponding to the preset acupoint, combined with the clinical guidelines for wrist-ankle acupuncture depth, and taking into account individual differences in patient age, constitution, and skin thickness, adjust and determine the specific acupuncture depth; S53, based on the direction of Qi and blood flow in the associated meridians, following the acupuncture principle of tonifying with the flow of Qi and reducing with the flow of Qi, and combined with the therapeutic effects required by the syndrome (clearing heat, tonifying deficiency, resolving phlegm), plan the acupuncture sequence for different marked acupoints; S54, comprehensively verify the determined acupuncture angle, depth, and sequence to ensure that different operational parameters are compatible with each other, conforming to the operational characteristics of the cannula-type wrist-ankle acupuncture and the patient's tolerance.

[0040] Specifically, the acupuncture parameter planning process in step S5 includes four sub-steps. In S51, for each preset acupoint, the location of the wrist-ankle acupuncture zone, specific anatomical structure, and distribution of adjacent blood vessels and nerves are confirmed through precise comparison with anatomical atlas and ultrasound imaging. The shortest distance between blood vessels / nerves and acupoints is determined (accurate to 0.1 cm). Through a combination of clinical experience verification and anatomical analysis, a safe acupuncture angle range of 15-25 degrees is determined, and the prohibited acupuncture angle range is defined as deviation from the safe range by more than ±5 degrees. At the same time, areas requiring re-needling during acupuncture are marked. Avoid blood vessels and nerves to prevent damage to important tissues. Based on the pre-defined acupoint locations and their corresponding syndrome types and pathogenesis characteristics, and referencing clinical standards for wrist and ankle acupuncture depth, the S52 acupuncture depth benchmark is set according to age stratification, taking into account individual differences such as patient age, body mass index (accurate to 0.1), and skin thickness (measured by ultrasound, accurate to 0.1 mm). The benchmark values ​​are: 12-15 mm for 60-70 years old, 10-12 mm for 71-80 years old, and 8-10 mm for over 80 years old. Further adjustments are made based on the muscle and fat thickness at the acupoint location, within ±1-3 mm. The fine-tuning of the needle depth ensures that the needle insertion reaches the effective stimulation level without damaging deep tissues. Based on the direction of Qi and blood flow in the meridians associated with preset points, the S53 strictly follows the TCM acupuncture principle of "tonifying with the flow of Qi and draining with the flow of Qi and blood" and combines the therapeutic effects required by the syndrome. For example, for excess syndromes such as liver fire syndrome and phlegm-heat disturbing the heart syndrome, which require clearing heat and draining fire, the procedure is performed in the order of the flow of Qi and blood. For deficiency syndromes such as heart and spleen deficiency syndrome and heart and kidney disharmony syndrome, which require tonifying Qi and blood, the procedure is performed in the order of the flow of Qi and blood. The system plans the order of needle insertion for each preset acupoint and sets the interval between needle insertions for each acupoint to 30 seconds to ensure a reasonable operating rhythm. S54 comprehensively verifies the established acupuncture angle, depth, and sequence parameters. It uses a parameter suitability score (0-10 points) to check the matching degree of angle and depth, and the consistency of sequence with pathogenesis. At the same time, it combines the patient's tolerance assessment (0-10 points) and sets a tolerance assessment threshold of 8 points. For parameters below the threshold, the angle is adjusted by 0.5-2 degrees or the depth is adjusted by 0.5-2 millimeters to ensure that all operation parameters are coordinated with each other, meet the operation technique requirements of cannula wrist and ankle acupuncture and the individual patient's tolerance range, and improve the safety and effectiveness of acupuncture operation.

[0041] like Figure 2As shown, this is a diagnostic acupoint selection system for treating senile intractable insomnia using a cannula-type wrist-ankle acupuncture. This system, applied to the diagnostic acupoint selection method for treating senile intractable insomnia using a cannula-type wrist-ankle acupuncture, includes: a multi-dimensional symptom and sign acquisition unit, used to acquire patient sleep-related data, emotional state indicators, physical discomfort manifestations, tongue and pulse information, and dietary and bowel function through sensor collection and manual input, converting different types of information into standardized data formats and storing them; a syndrome type intelligent matching and analysis unit, connected to the multi-dimensional symptom and sign acquisition unit, calling a preset syndrome type diagnostic database, and outputting the target syndrome type range by comparing the patient's symptom and sign data with the clinical manifestations and syndrome mechanism summaries of five syndrome types; and a meridian zone association mapping unit, which communicates with the syndrome type intelligent matching and analysis unit, retrieving the meridian circulation database and wrist-ankle acupuncture zone positioning rule base based on the target syndrome type range to establish... The system establishes a correlation between meridians and wrist-ankle acupuncture zones, outputting candidate acupoint areas. A preset acupoint screening and evaluation unit communicates bidirectionally with the meridian zone correlation mapping unit, performing meridian correlation strength analysis, clinical application frequency statistics, and safety assessment on acupoints within the candidate areas to select preset acupoints. A dynamic acupuncture parameter planning unit connects to the preset acupoint screening and evaluation unit, dynamically adjusting acupuncture angle, depth, and operation sequence parameters based on the anatomical characteristics of the preset acupoints, individual patient differences, and syndrome differentiation treatment needs. A personalized solution integration and output unit connects to the multi-dimensional symptom and sign acquisition unit, syndrome differentiation intelligent matching analysis unit, meridian zone correlation mapping unit, preset acupoint screening and evaluation unit, and dynamic acupuncture parameter planning unit, integrating the output results of different units to generate a structured, personalized, dialectical acupoint selection plan, which is then displayed in a visual format.

[0042] This invention relates to a diagnostic acupoint selection method and system for treating intractable insomnia in the elderly using a cannula-type wrist-ankle acupuncture. It integrates key elements such as symptoms, signs, syndrome types, meridians, acupoints, and acupuncture parameters from multiple dimensions, relying on a hierarchical and progressive analytical logic to ensure the objectivity and accuracy of acupoint selection. At the system level, the coordinated operation of six functional units forms a closed-loop mechanism for data collection, analysis, matching, screening, planning, and integration, ensuring the orderly and efficient operation process. This design effectively overcomes the shortcomings of existing technologies, such as reliance on physician subjective experience and lack of standardized acupoint selection. Through clear syndrome matching standards, meridian zoning association rules, and acupoint selection criteria, it reduces the impact of individual operational differences on treatment plans, improving the consistency and repeatability of treatment plans in different scenarios.

[0043] This invention collects multi-dimensional symptom and sign information from patients in a targeted manner, and dynamically adjusts the acupoint selection area, preset acupoints, and acupuncture parameters based on the characteristics of the syndrome differentiation and pathogenesis to form a customized treatment plan. Through data exchange and dynamic adjustment among the various units, the system establishes a deep correlation between syndrome differentiation, meridian zones, preset acupoints, and acupuncture parameters, ensuring that the plan highly matches the patient's specific condition. This advantage successfully solves the problems of insufficient targeted acupoint selection and failure to systematically connect multiple key factors in existing technologies. By accurately matching syndrome differentiation with acupoints and dynamically optimizing acupuncture operation parameters, it fully leverages the therapeutic efficacy of the cannula-type wrist-ankle acupuncture needle in regulating meridian qi and blood and balancing organ functions, providing more targeted treatment support for elderly patients with different syndromes and further improving the stability and reliability of treatment effects.

[0044] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," "link," and "fix" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0045] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various equivalent changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. The method for treating senile intractable insomnia with the cannula wrist-ankle needle, characterized in that, The method comprises steps S1-S6: S1, collecting symptom and sign information of an elderly intractable insomnia patient, including sleep duration, emotional state, physical discomfort, tongue features, pulse data, and diet and defecation conditions, to establish a symptom and sign information set; S2, according to the symptom and sign information set, referring to clinical manifestations and syndrome mechanism summaries of five types of syndromes, i.e., heart fire, phlegm-heat disturbing heart, heart and spleen deficiency, heart-kidney disharmony, and heart-dish deficiency, to preliminarily screen a target syndrome type range with higher matching degree; S3, based on a meridian running route corresponding to the target syndrome type range and a wrist-ankle needle partition positioning rule, determining a candidate acupoint region, the candidate acupoint region is combined with a corresponding relationship between a syndrome type corresponding viscera and meridians and a wrist-ankle needle left upper 1 area, left upper 2 area, left upper 4 area, right upper 2 area, right upper 4 area, right lower 2 area, and right lower 5 area; S4, performing acupoint specificity analysis on the candidate acupoint region, combining the acupoint with the blood and qi correlation intensity of the insomnia-related viscera and the clinical application frequency to screen preset acupoint sites; S5, according to the distribution characteristics of the preset acupoint sites, planning the acupuncture angle, depth and operation sequence of the sleeve type wrist-ankle needle, the operation sequence is formulated according to the meridian blood and qi running direction and the syndrome type pathogenesis characteristics; S6, integrating and analyzing the results to form a personalized syndrome differentiation and acupoint selection scheme for the elderly intractable insomnia patient.

2. The dialectical point selection method for treating senile intractable insomnia with the cannulated wrist-ankle needle according to claim 1, characterized in that, The S2 adopts a syndrome type matching degree calculation model to determine a target syndrome type range, and the model formula is: Wherein represents the matching degree of the ith patient and the jth syndrome type, is the quantitative value of the kth symptom and sign of the ith patient, is the weight coefficient of the kth symptom and sign of the jth syndrome type, and n is the total number of symptom and sign indexes, is a correction coefficient, used to adjust the influence degree of the difference between the quantitative value of the symptom and sign and the weight coefficient on the matching degree.

3. The method of claim 1, wherein the method is used for treating senile intractable insomnia. The candidate acupoint area is determined by a meridian-partition association model in S3, and the model formula is: Wherein represents the association strength of the pth meridian and the qth wrist-ankle needle partition, is the correlation degree parameter of the mth acupoint of the pth meridian, is the positioning parameter of the mth site of the qth wrist-ankle needle partition, p is the total number of associated meridians, is the meridian weight coefficient, is the partition adjustment coefficient.

4. The dialectical point selection method of the cannulated wrist-ankle needle for treating senile intractable insomnia according to claim 1, characterized in that, The preset acupoint is determined by using an acupoint screening model in the S4, and a model formula is as follows: Wherein is a screening priority of the tth acupoint, is a correlation coefficient of the tth acupoint and the s th insomnia symptom, is a clinical application effective value of the tth acupoint, is a distance parameter of the tth acupoint and an adjacent acupoint, is a needle angle parameter of the tth acupoint, is a priority correction coefficient, and t is a total number of candidate acupoints.

5. The dialectical point selection method of the cannulated wrist-ankle needle for treating senile intractable insomnia according to claim 1, characterized in that, The acupuncture parameter is planned by the operation parameter optimization model in S5, and the model formula is: Wherein is the vth operation parameter value of the uth preset acupoint, is an acupuncture angle basic parameter, is an acupuncture depth basic parameter, is an operation sequence ordering parameter, is an angle weight coefficient, is a depth weight coefficient, is a sequence adjustment coefficient, is a time correction coefficient, is a parameter change phase angle, and T is an operation period parameter.

6. The method of claim 1, wherein the method is used for treating senile intractable insomnia. The personalized acupoint selection scheme is formed by using a scheme integration model in S6, and a model formula is as follows: wherein is an individualized scheme integration value of the rth patient, is the kth syndrome matching parameter, is the screening parameter of the kth preset acupoint, is the kth acupuncture operation parameter, r is the total number of scheme components, is an integration adjustment coefficient.

7. The method of claim 1, wherein the method is used for treating senile intractable insomnia. The S3 comprises the following steps: S31, based on the syndrome mechanism summary corresponding to the target syndrome type range, extracting the information about the functional disorder of the viscera related to the syndrome type, directly associating the meridian system with the disordered viscera, and combing the running path of each associated meridian and the distribution area in the wrist-ankle part; S32, referring to the wrist-ankle needle partition positioning standard, determining the respective corresponding surface anatomy range and meridian attribution of the left upper 1 area, left upper 2 area, left upper 4 area, right upper 2 area, right upper 4 area, right lower 2 area, and right lower 5 area, and establishing a corresponding relationship database between the partition and the meridian; S33, comparing the meridian distribution area associated with the target syndrome type with the wrist-ankle needle partition, screening out the area with overlap as a preliminary candidate acupoint area, and simultaneously adjusting the range of the preliminary candidate area in combination with the abnormal blood and qi running position in the syndrome type pathogenesis; S34, according to the blood and qi running characteristics of the meridian, performing priority sorting on the adjusted candidate acupoint area, preferentially selecting the partition corresponding to the blood and qi running calibration node as the preset candidate area, and forming a final candidate acupoint area set.

8. The dialectical point selection method of the cannulated wrist-ankle needle of claim 1 for treating senile intractable insomnia, characterized in that, The S4 comprises the following steps: S41, collecting basic information of all acupoints in the candidate acupoint area, including acupoint name, anatomical position, adjacent relationship with surrounding tissues, and clinical application records, and establishing an acupoint basic information database; S42, analyzing the meridian contact strength of each acupoint with the insomnia-related viscera, and quantifying the regulation potential of the acupoint on the viscera function by combing the exterior-interior corresponding relationship between the acupoint and the viscera, the meridian transmission path in traditional Chinese medicine theory; S43, statistics of different acupoints in the clinical application frequency and correlation efficacy feedback data in the treatment of elderly intractable insomnia, extract the effectiveness characteristics of acupoint application, and exclude acupoints with high incidence of adverse reactions in clinical application; S44, combined with the correlation strength of acupoints and viscera and the clinical application characteristics, the candidate acupoints are scored by using multi-dimensional evaluation method, and the acupoints ranking in the front are selected as the preset acupoint sites.

9. The method of claim 1, wherein the method is used for treating senile intractable insomnia. S5 includes the following steps: S51, for each preset acupoint site, combined with its wrist-ankle needle partition, anatomical position and adjacent blood vessel and nerve distribution, determine the safe angle range of acupuncture to avoid damaging important tissues during acupuncture; S52, according to the syndrome type and pathogenesis corresponding to the preset acupoint site, combined with the clinical specification of the acupuncture depth, referring to the individual difference factors of the patient's age, constitution and skin thickness, adjust and determine the specific acupuncture depth; S53, based on the direction of qi and blood running along the meridians, follow the principle of acupuncture along the meridian for tonifying and against the meridian for purging, combined with the treatment effect required by the syndrome type, plan the acupuncture sequence of different acupoint sites; S54, comprehensive check of the determined acupuncture angle, depth and sequence, ensure that different operation parameters are mutually adapted, meet the operation characteristics of the sleeve type wrist-ankle needle and the tolerance of the patient.

10. The dialectical acupoint system for treating senile intractable insomnia with cannulated wrist-ankle needle is characterized in that, The system is applied to the dialectical acupoint selection method of the sleeve type wrist-ankle needle for treating elderly intractable insomnia according to claim 1, comprising: a symptom and sign multi-dimensional acquisition unit for acquiring patient sleep-related data, emotional state indicators, body discomfort manifestations, tongue and pulse information, and diet and bowel conditions through sensor acquisition and manual input, converting different types of information into standardized data format and storing; a syndrome type intelligent matching analysis unit connected with the symptom and sign multi-dimensional acquisition unit, calling a preset syndrome type diagnosis database, comparing patient symptom and sign data with clinical manifestations and syndrome mechanism summaries of five syndromes, and outputting a target syndrome type range; a meridian partition correlation mapping unit in data intercommunication with the syndrome type intelligent matching analysis unit, calling a meridian circulation database and a wrist-ankle needle partition positioning rule library based on the target syndrome type range, establishing a correlation between the meridians and the wrist-ankle needle partitions, and outputting candidate acupoint regions; a preset acupoint screening and evaluation unit in bidirectional communication with the meridian partition correlation mapping unit, performing meridian correlation strength analysis, clinical application frequency statistics and safety evaluation on acupoints in the candidate acupoint region, and screening preset acupoint sites; an acupuncture parameter dynamic planning unit connected with the preset acupoint screening and evaluation unit, dynamically adjusting acupuncture angle, depth and operation sequence parameters combined with anatomical characteristics of the preset acupoint site, individual differences of the patient and treatment needs of the syndrome type; a personalized scheme integration output unit connected with the symptom and sign multi-dimensional acquisition unit, the syndrome type intelligent matching analysis unit, the meridian partition correlation mapping unit, the preset acupoint screening and evaluation unit and the acupuncture parameter dynamic planning unit, integrating different unit output results, generating a structured personalized dialectical acupoint selection scheme and displaying it in a visual form.

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