Electrocardiosignal acquisition and management method and related equipment

Abstract

The invention discloses an electrocardiosignal acquisition and management method and related equipment. The method comprises the steps that electrocardiosignals of a target user are collected through a plurality of electrodes, and the electrodes are distributed at preset positions of the whole chest lead pasting sheet; acquiring the acquired electrocardiosignal of the target user based on a wireless transmission mode; and analyzing and displaying the electrocardiosignal of the target user. The problems that lead connecting lines are wound in a staggered mode, a large amount of time needs to be consumed for clearing the lines, and skin injuries can be further aggravated for patients with skin injuries on breasts can be solved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of smart medical care. More specifically, the present invention relates to an electrocardiogram (ECG) signal acquisition and management method and related equipment. Background Art

[0002] ECG machines are frequently used clinically, and they are performed on a wide range of patients, including those with heart disease, heart-related symptoms, other systemic diseases that may affect the heart, and patients with special conditions (such as the elderly, those with hypertension, diabetes, and those in the perioperative period). Traditional ECG procedures involve clearing the wiring of the chest and limb leads, and then securing the chest leads to the corresponding skin area on the patient's chest with suction bulbs. The limb leads are secured to the patient's limbs with clips. This traditional method has the following disadvantages: ① The six chest lead wires and four limb lead wires are intertwined, making clearing the wiring time-consuming, especially in emergency situations, which can affect patient care. ② For thinner patients with dry skin, the chest lead suction bulbs are difficult to securely attach, which not only affects ECG results but also requires reattachment, reducing medical staff's work efficiency. ③ After removing the suction bulbs, the area where the suction bulbs were attached is prone to red marks due to localized compression, obstructed blood circulation, and capillary rupture and bleeding. Especially for patients who already have skin damage on their chest, it will further aggravate the skin damage; ④ The suction ball cannot be disinfected and is reused in contact with the skin, which may lead to the spread of skin-related diseases. Summary of the Invention

[0003] The Summary of the Invention introduces a series of simplified concepts that will be further described in the Detailed Description of the Invention. The Summary of the Invention is not intended to limit the key features and essential features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.

[0004] In order to solve the problem of tangled lead wires, it takes a lot of time to straighten out the wires, which will further aggravate the skin damage problem for patients who already have skin damage on their chests. In a first aspect, the present invention provides a method for collecting and managing electrocardiogram signals, which includes:

[0005] Collecting the target user's electrocardiogram signal through multiple electrodes, wherein the multiple electrodes are distributed at preset positions of the whole-piece chest lead patch;

[0006] Acquiring the collected electrocardiogram signal of the target user based on wireless transmission;

[0007] The target user's electrocardiogram signal is analyzed and displayed.

[0008] Optionally, the multiple electrodes are 6 chest lead electrodes, the preset positions are associated with the 6 chest lead electrode preset collection positions, and the outer contour of the whole-piece chest lead adhesive patch matches the shape of the connection line formed by the 6 chest lead electrode preset collection positions.

[0009] Optionally, the whole-piece chest lead adhesive sheet is elastic, and the method further comprises:

[0010] Acquiring basic physiological information of the target user based on the medical management system;

[0011] Predicting the target user's body shape information based on the basic physiological information, where the body shape information includes weight data and height data;

[0012] Predicting a target stretching state of the one-piece chest lead adhesive patch that matches the target user based on the body posture information, wherein the initial shape of the one-piece chest lead adhesive patch matches a preset minimum user to be monitored;

[0013] Prompt information including the target stretching state is generated to prompt an operator of electrocardiogram monitoring.

[0014] Optionally, the whole-piece chest lead adhesive sheet is elastic, and the method further comprises:

[0015] Collecting image information of the target user;

[0016] determining the body shape information of the target user according to the image information;

[0017] Predicting a target stretching state of the one-piece chest lead adhesive patch that matches the target user based on the body shape information, wherein the initial shape of the one-piece chest lead adhesive patch matches a preset minimum user to be monitored;

[0018] Prompt information including the target stretching state is generated to prompt an operator of electrocardiogram monitoring.

[0019] Optionally, the method further includes:

[0020] calculating, based on the target stretching state, a theoretical pulling force that the whole-piece chest lead adhesive sheet bears when the whole-piece chest lead adhesive sheet reaches the target stretching state;

[0021] When the actual pulling force borne by the whole-piece chest lead adhesive patch reaches the theoretical pulling force, a prompt message is generated.

[0022] Optionally, also include:

[0023] Calculating the ideal adhesion coverage position of the whole-piece chest lead adhesive patch based on the body shape information of the target user;

[0024] The ideal pasting covering position is displayed in the image information of the target user to prompt the operator of the electrocardiogram monitoring.

[0025] Optionally, the acquiring the collected electrocardiogram signal of the target user based on wireless transmission includes:

[0026] The collected electrocardiogram signal of the target user is obtained based on the Bluetooth transmission method.

[0027] In a second aspect, the present invention further provides an electrocardiogram signal acquisition and management device, comprising:

[0028] A collection unit, configured to collect the target user's electrocardiogram (ECG) signals through a plurality of electrodes, the plurality of electrodes being distributed at preset positions of the whole-piece chest lead patch;

[0029] A transmission unit, configured to obtain the collected ECG signal of the target user based on a wireless transmission method;

[0030] The analyzing unit is used to analyze and display the electrocardiogram signal of the target user.

[0031] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the electrocardiogram signal acquisition and management method as described in any one of the first aspects above when executing the computer program stored in the memory.

[0032] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the electrocardiogram signal acquisition and management method according to any one of the above items in the first aspect is implemented.

[0033] In summary, the ECG signal acquisition and management method proposed in this application collects the ECG signals of a target user using multiple electrodes distributed at preset positions on a single-piece chest lead patch; obtains the collected ECG signals of the target user via wireless transmission; and analyzes and displays the ECG signals of the target user. This method, based on the structural integration of the electrode patch and the digital and wireless signal processing, effectively solves many problems existing in traditional ECG equipment. First, in terms of electrode placement, the preset electrode layout of the single-piece patch reduces lead wire entanglement and simplifies the operation process. This can significantly shorten preparation time and improve rescue efficiency, especially in emergency or intraoperative situations. Second, the patch fixation method uses medical colloid adhesion instead of traditional negative pressure suction bulbs, avoiding data errors and skin damage caused by suction bulb failure or repeated reattachment. This is particularly suitable for the elderly, infants, or patients with skin diseases, significantly improving the patient experience. Third, in terms of data transmission, the use of wireless transmission eliminates interference with bed space caused by connecting wires, improves ward wiring flexibility, and avoids signal loss caused by lead wire detachment. Finally, through terminal analysis and AI system integration, this method can complete ECG waveform recognition and risk warning in the first time, which not only improves diagnostic efficiency but also gains valuable time for subsequent treatment.

[0034] The electrocardiogram signal acquisition and management method of the present invention, and other advantages, objectives and features of the present invention will be partially reflected in the following description, and will also be partially understood by those skilled in the art through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present description. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0036] Figure 1 A flowchart of an electrocardiogram signal acquisition and management method provided in an embodiment of the present application;

[0037] Figure 2 A schematic diagram of the structure of an electrocardiogram signal acquisition and management device provided in an embodiment of the present application;

[0038] Figure 3 A schematic diagram of the structure of an electronic device for collecting and managing electrocardiogram signals provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or that are inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the embodiments described are only part of the embodiments of the present application, not all of the embodiments.

[0040] In order to solve the problem of tangled lead wires, it takes a lot of time to straighten out the wires. For patients who already have skin damage on their chest, it will further aggravate the problem of skin damage. Please refer to Figure 1 , is a flow chart of an electrocardiogram signal acquisition and management method provided in an embodiment of the present application, which may specifically include: steps S110 to S130.

[0041] S110 , collecting an electrocardiogram signal of a target user through a plurality of electrodes, wherein the plurality of electrodes are distributed at preset positions of a whole-piece chest lead patch.

[0042] S120: Acquire the collected electrocardiogram signal of the target user based on wireless transmission.

[0043] S130: Analyze and display the target user's electrocardiogram signal.

[0044] It is understandable that this method is based on a whole-piece patch electrode structure and wireless ECG signal transmission technology. It redesigns the acquisition architecture and data management process around the pain points of wire entanglement, difficulty in electrode fixation, skin compression damage and cross-infection in traditional ECG operations. In electrophysiological principles, each diastole and contraction of the heart will produce a subtle potential difference on the body surface. The electrodes transmit these electrical signals to the acquisition device through contact with the skin. Traditional ECG equipment uses multiple lead cables connected to suction ball electrodes to collect chest lead and limb lead data. This method integrates the chest lead electrodes into a flexible medical patch. The electrode positions are precisely designed to correspond to the standard V1 to V6 lead positions, and no longer rely on manual positioning and adsorption fixation. At the same time, a miniature signal amplification and filtering processing module is introduced at the signal acquisition end, and the data is transmitted to the terminal through wireless communication technology for real-time analysis and display, forming a complete, fast, safe and intelligent ECG signal acquisition and management process.

[0045] For example, an integrated whole-piece electrode patch can be constructed and calibrated for standard lead points. The patch is made of flexible and stretchable medical polymer materials and is adapted to the chest curve of patients of different body shapes. On the patch, the electrode contact points are pre-set on the patch according to the lead distribution of the international standard 12-lead electrocardiogram, especially the six positions of V1 to V6 of the chest leads. Each electrode point is made of a flexible metal or carbon fiber composite conductive material with high conductivity. The electrode and the skin are in stable contact through conductive glue or conductive skin-friendly gel, while ensuring low contact impedance and enhancing signal acquisition quality. The entire patch does not need to be placed with suction balls one by one or the lines are straightened out. Medical staff only need to align the patch with the anatomical landmark and quickly fit it to complete the chest lead electrode positioning in one go. It is especially suitable for the elderly, thin patients or patients with dry chest skin. Its fitting stability is significantly better than that of traditional suction ball electrodes.

[0046] For example, real-time collection and preliminary processing of ECG signals can be performed. A miniature electronic module is embedded in the center or edge of the patch. The module has a built-in low-noise preamplifier for amplifying the weak bioelectric signals collected by the electrodes. Subsequently, the signal enters the analog-to-digital converter (ADC) to convert the analog electrical signal into a digital signal. In the digital signal processing unit, the system automatically runs a variety of filtering algorithms, including a 50Hz power frequency interference filter, low-pass and high-pass filters (to process myoelectric noise and baseline drift, respectively), to ensure signal stability and accuracy. During clinical use, even if the patient has interference factors such as muscle tremors and wet and cold skin, the system can effectively eliminate interference and retain the core features of the original ECG waveform, which is convenient for subsequent analysis and diagnosis.

[0047] For example, the ECG signal can be transmitted stably and quickly to the terminal device through the wireless communication module. The micromodule integrates a low-power Bluetooth (Bluetooth Low Energy) or Wi-Fi Direct communication unit. The collected ECG signals can be connected to a mobile terminal (such as an ECG monitoring tablet, a doctor's workstation tablet or a mobile phone) via Bluetooth, or uploaded to the ECG information platform via Wi-Fi in the hospital's wireless LAN environment. Data transmission uses efficient compression and encryption protocols to ensure the security and privacy of medical data. This wireless solution gets rid of the constraints of traditional wired connections on bed space and rescue carts, and is particularly suitable for scenarios such as emergency rescue, mobile rounds, and bedside intraoperative monitoring.

[0048] For example, the terminal analysis and result display of the ECG signal can be performed. The ECG signal transmitted to the terminal can be reconstructed into a waveform through professional software, and a complete 12-lead ECG can be drawn in real time. It can also be connected to the hospital's AI-assisted diagnosis system to automatically analyze the time domain characteristics, waveform morphology, and ST segment abnormalities of the P wave, QRS complex, and T wave, and other typical indicators, and promptly prompt possible atrial fibrillation, bradycardia, premature beats, ST segment elevation and other heart rhythms and myocardial ischemia risks. Doctors can quickly browse the analysis results through tablet devices and upload the diagnosis results, ECG reports, etc. to the patient's electronic medical record system with one click, forming a complete data closed loop, reducing manual entry errors, and improving the efficiency of ECG results in multidisciplinary collaboration and preoperative evaluation.

[0049] In summary, the ECG signal acquisition and management method provided in the embodiments of the present application collects the ECG signals of a target user using multiple electrodes distributed at preset positions on a single-piece chest lead patch; obtains the collected ECG signals of the target user via wireless transmission; and analyzes and displays the ECG signals of the target user. This method, based on the structural integration of the electrode patch and the digital and wireless signal processing, effectively solves many problems existing in traditional ECG equipment. First, in terms of electrode placement, the preset electrode layout of the single-piece patch reduces the problem of lead wire entanglement, making the operation process simpler. This can significantly shorten preparation time and improve rescue efficiency, especially in emergency or intraoperative situations. Second, the patch fixation method uses medical colloid adhesion instead of traditional negative pressure suction bulbs, avoiding data errors and skin damage caused by suction bulb failure or repeated reattachment. This is particularly suitable for the elderly, infants, or patients with skin diseases, significantly improving the patient experience. Third, in terms of data transmission, the use of wireless transmission mode eliminates the interference of connecting wires on bed space, improves the flexibility of ward wiring, and avoids signal loss caused by lead wire detachment. Finally, through terminal analysis and AI system integration, this method can complete ECG waveform recognition and risk warning in the first time, which not only improves diagnostic efficiency but also gains valuable time for subsequent treatment.

[0050] According to some embodiments, the multiple electrodes are 6 chest lead electrodes, the preset positions are associated with the 6 chest lead electrode preset collection positions, and the outer contour of the whole-piece chest lead adhesive sheet matches the shape of the connection line formed by the 6 chest lead electrode preset collection positions.

[0051] Exemplarily, the multiple electrodes specifically include six chest lead electrodes, corresponding to the V1 to V6 chest lead acquisition points in a traditional 12-lead electrocardiogram (ECG). These electrodes are evenly and precisely distributed within a pre-set area on the front of the one-piece chest lead patch, with their layout strictly adhering to internationally recognized ECG electrode placement standards. V1 is located at the 4th intercostal space on the right side of the sternum, V2 is located at the 4th intercostal space on the left side of the sternum, V3 is located at the midpoint of the line connecting V2 and V4, V4 is located at the intersection of the left midclavicular line and the 5th intercostal space, V5 is located at the anterior axillary line on the horizontal line of V4, and V6 is located at the mid-axillary line on the horizontal line of V4. These six locations form a lead area with a specific spatial structural relationship in three-dimensional space, with the chest as the reference point. To ensure efficient, one-time positioning and fixation of the electrode patch during use, the overall outer contour of the one-piece chest lead patch is designed according to the anatomical arrangement of these six lead points on the human body, forming patch edge lines that geometrically match them. The patch's edge shape preferably adopts a "fan-shaped" layout, forming a wide arc extending from the midline to the sides. This contour closely matches the surface curvature of the chest area of patients of varying body types, while providing ample coverage between V1 and V6, ensuring that each electrode is accurately aligned with its acquisition area. This adaptable design not only reduces manual positioning errors but also significantly shortens the time spent by medical personnel during lead placement, greatly improving clinical efficiency. Furthermore, flexible printed circuits connect the electrodes within the patch, with the central area connected to the internal acquisition module, eliminating the tangles and interference risks associated with traditional lead wire entanglement. This patch structure provides full coverage of the entire chest lead area, ensuring uniform contact pressure between the electrodes and the skin, thereby improving ECG signal acquisition consistency and waveform stability. The patch's soft material and contoured design tailor to the human body provide excellent conformability and comfort, making it suitable for both male and female patients of all ages without restricting respiratory movement or interfering with intraoperative positioning.

[0052] In some examples, the one-piece chest lead adhesive patch is elastic, and the method further includes:

[0053] Acquiring basic physiological information of the target user based on the medical management system;

[0054] Predicting the target user's body shape information based on the basic physiological information, where the body shape information includes weight data and height data;

[0055] Predicting a target stretching state of the one-piece chest lead adhesive patch that matches the target user based on the body posture information, wherein the initial shape of the one-piece chest lead adhesive patch matches a preset minimum user to be monitored;

[0056] Prompt information including the target stretching state is generated to prompt an operator of electrocardiogram monitoring.

[0057] Exemplarily, the one-piece chest lead patch not only features preset electrode positions and a structurally matching contour, but is also made from an elastic polymer composite material with excellent flexibility and stretchability, enabling controlled deformation and stretchability under different patient body shapes to accommodate varying chest widths, chest curvatures, and body surface distributions. This elastic design not only improves the fit between the patch and the skin but also provides physical feasibility for spatial fine-tuning of the electrode positions, enabling the same type of patch to adapt to users of various body structures. Before ECG monitoring begins, the human body posture prediction function of a hospital medical management system (such as an electronic medical record system or a patient information management platform) can be used. Specifically, the system first retrieves the target user's basic physiological information, including key parameters such as age, gender, weight, and height. These parameters are typically entered during patient registration, hospitalization assessment, or health record creation. The system then converts this physiological information into body posture information based on a specific body posture modeling algorithm, namely, calculating parameters such as the patient's chest width, chest circumference, and skin tension model, and based on this, predicts the target stretch state that the patient needs to achieve when the patch is deployed. For example, for a middle-aged, heavier male patient, the system might predict that their chest area is wider, requiring the patch to be stretched horizontally or diagonally to 1.3 times its initial length to accurately align the electrode points with the standard positions of V1 to V6. For a thinner, elderly female patient, the system might indicate that no stretching is required, or that only a slight stretching is needed to achieve the required fit. The one-piece chest lead patch is designed so that its initial unstretched state matches the smallest monitored user (e.g., adult women or small adolescents), ensuring that even in its most compact state, it still accurately covers the basic lead area. The system generates corresponding prompts based on these predictions and provides feedback to the operator through a visual interface or device voice prompts. For example, while medical staff are preparing the patch, the system can display prompts such as "Recommended horizontal stretching 1.2 times to align with the lead indicator line" or "No stretching required, just apply directly," assisting them in completing patch placement more quickly and accurately. In some implementations, the patch body may also be printed with scale lines or color gradient areas. When the patch is stretched to a matching state, the scale lines become horizontal, the colors align, or the pattern deformation disappears, providing an intuitive reference for the degree of stretching, further lowering the technical threshold for operation and improving operational consistency. The introduction of this design means that the whole-piece chest lead patch is no longer a passive consumable of uniform specifications, but has the ability to actively adapt to the user's body shape and stretch in an individualized manner. It is especially suitable for monitoring subjects with different body shapes such as emergency, elderly, obese, or special populations (such as pregnant women, patients with postoperative chest deformation). In conjunction with the intelligent prediction mechanism of the medical system database, this method realizes the transition from fixed electrode-centered layout to patient-centered dynamic adaptation, which is a flexible upgrade path that is difficult to achieve with traditional ECG wiring methods.

[0058] In some examples, the one-piece chest lead adhesive patch is elastic, and the method further includes:

[0059] Collecting image information of the target user;

[0060] determining the body shape information of the target user according to the image information;

[0061] Predicting a target stretching state of the one-piece chest lead adhesive patch that matches the target user based on the body shape information, wherein the initial shape of the one-piece chest lead adhesive patch matches a preset minimum user to be monitored;

[0062] Prompt information including the target stretching state is generated to prompt an operator of electrocardiogram monitoring.

[0063] It is understood that in order to further improve the adaptability and intelligence of the whole-piece chest lead patch in clinical use, the method also includes image recognition and analysis of the target user's body shape, and based on this, predicting the optimal stretching state of the patch. Specifically, before ECG monitoring begins, the system uses an image acquisition module (such as a depth camera, structured light sensor, 2D camera, etc.) installed on the side of the bed or on the device terminal to collect chest image information of the target user. Image acquisition can be performed with the patient in a supine or semi-sitting position to ensure a clear and representative perspective. The system then uses image recognition and human posture estimation algorithms to analyze the collected image data, automatically identifying key geometric parameters such as the user's chest contour, mid-clavicular line, rib spacing, sternum position, and left and right chest width. It then reconstructs a two-dimensional or three-dimensional chest surface model from the image, and extracts body shape information for subsequent matching. This body shape information is more personalized than traditional height and weight, and can more accurately describe the structural differences between different patients in the patch application area. It is particularly suitable for patients with special body shapes, such as those with chest deformation, those undergoing orthopedic surgery, and pregnant women. After completing the body shape analysis, the system calculates the target stretch state for the patch to ensure that its six pre-set chest lead electrodes accurately align with the standard positions (V1-V6) after deployment. The system includes a built-in reference model of the patch's initial shape, which matches the smallest or thinnest users, ensuring basic use without stretching. For users with wider chests, the system uses the body shape model to calculate the specific stretch ratio required horizontally or along a specific arc, such as 1.2 times the width, 5 cm of lateral extension, or a specific angle of rotation. The predicted target stretch state is not only displayed numerically but also visually on the display terminal through image comparison or interactive graphics. The system then generates prompts to guide the ECG monitor operator on how to adjust the patch shape for optimal fit. For example, the user interface may indicate, "Recommend stretching the patch horizontally to align with the left chest line," "Extend the right area appropriately to cover the sixth intercostal space," or "No additional stretching required, simply center the patch." In some advanced implementations, the surface of the patch body can be accompanied by color gradient markings and elastic deformation indicator lines. Together with the visual cues provided by the system, this can help the operator more accurately judge whether the patch has reached the predicted state, avoid over-stretching or fitting deviation, and improve the stability of the monitoring results. By introducing image recognition and body shape modeling, the system has achieved the function of completing patch adaptation judgment based entirely on the user's real-time image without relying on text information entry, greatly improving the level of automation of ECG operations in emergency, mobile medical care, pre-hospital treatment or the elderly. Compared with the traditional method of relying on manual experience to judge the position and tension of the patch, this method significantly reduces the risk of human error, unstable fitting or electrode deviation, and provides a more consistent and reliable ECG monitoring experience for patients of different body shapes.

[0064] In some examples, the method further includes:

[0065] calculating, based on the target stretching state, a theoretical pulling force that the whole-piece chest lead adhesive sheet bears when the whole-piece chest lead adhesive sheet reaches the target stretching state;

[0066] When the actual pulling force borne by the whole-piece chest lead adhesive patch reaches the theoretical pulling force, a prompt message is generated.

[0067] It is understood that in order to further improve the accuracy and reliability of the whole-piece chest lead adhesive patch in actual operation, the method also includes theoretical modeling of the patch tension based on the predicted target stretch state, and monitoring the tension during the actual stretching process of the patch to achieve intelligent prompts and physical state feedback. Specifically, after predicting the patch stretch state corresponding to the target user through image recognition or body shape data, the system further calculates the theoretical tension value required for the patch to reach under this target stretch state. This theoretical tension is calculated based on the mechanical properties of the patch material (such as elastic modulus, initial length, elongation at break, etc.) and the target stretch ratio obtained by user body shape modeling, using classical elastic mechanics formulas. For example, if the patch material is a linear elastic body, its theoretical tensile force in a unit direction can be expressed by Hooke's law as: F = E × A × (ΔL / L0), where F is the theoretical tension, E is the elastic modulus of the material, A is the cross-sectional area, ΔL is the change in stretched length, and L0 is the initial length. This formula is used to estimate the theoretical stress level that the patch should generate at the target stretch ratio. The system uses this force value as a target reference and compares it with subsequent real-time tension monitoring data. To enable detection of actual tension, the single-piece chest lead patch can be pre-embedded with micro-force-sensitive elements (such as flexible piezoelectric materials, strain gauge wire, or thin-film tension sensors) on both sides (or in key stretching directions) during manufacturing. These elements sense the actual tension applied to the patch during stretching. As the operator gradually stretches and applies the patch to the patient's chest skin, the system collects the patch's current force state in real time and dynamically compares this value with the system's predicted theoretical tension. When the actual tension value reaches or approaches the calculated theoretical tension value (with a configurable error tolerance, such as ±10%), the system determines that the patch has reached optimal tension and automatically generates a prompt message, notifying the operator, "The patch has reached the recommended tension. Please complete the application and secure." This helps prevent overstretching or underfitting. This prompt can be presented through audio, a graphical interface, or a color change on the patch's color indicator area, ensuring that medical staff can quickly understand and make informed decisions during operation. This mechanism significantly enhances the objectivity and consistency of patch stretching control. In actual operation, especially in emergency rescue or basic medical scenarios involving non-professionals, it is difficult to judge whether the patch tension is appropriate only by sight and feel. After introducing the theoretical tension calculation and actual tension comparison mechanism, patch users do not need to have professional skills to complete standardized fitting according to the system prompts, thereby ensuring accurate electrode position, stable contact, and clear ECG signals, avoiding ECG waveform distortion or noise interference caused by poor patch fitting. For example, when performing a patch operation on a middle-aged male patient with an obese body, the system predicts that the patch needs to be stretched horizontally to 1.25 times the initial width, and the theoretical tension value is 3.2N.During the stretching process, the patch's built-in flexible sensor monitors tension in real time. When the sensing value reaches between 3.1 and 3.3 N, the system immediately issues a "stretching completed" prompt via the tablet terminal, ensuring that the electrodes do not shift due to excessive stretching or have poor contact due to loose fit. In summary, this implementation achieves a technological leap from estimated fit to verified fit by calculating the relationship between theoretical tension and real-time monitoring of patch tension, and is a key component of the closed-loop control logic in intelligent ECG monitoring systems.

[0068] In some examples, this also includes:

[0069] Calculating the ideal adhesion coverage position of the whole-piece chest lead adhesive patch based on the body shape information of the target user;

[0070] The ideal pasting covering position is displayed in the image information of the target user to prompt the operator of the electrocardiogram monitoring.

[0071] It is understood that to further improve the accuracy and automation of ECG monitoring operations, the method also includes calculating the ideal placement of the full-piece chest lead patch on the chest area based on the target user's body shape information, and visually displaying this ideal position in the graphical interface to guide the operator in achieving standardized patch placement. This function not only optimizes the spatial alignment between the electrode point and the target lead acquisition position, but also significantly reduces clinical issues such as waveform abnormalities and repeated operations caused by patch offset or electrode misalignment.

[0072] For example, first, after completing image acquisition and extracting the shape information of the user's chest, the system automatically identifies key anatomical landmarks on the chest based on the human body three-dimensional modeling and structure annotation algorithm, including the midline of the sternum, the position of the clavicle, the position of the left and right nipples, the range of the 4th to 6th intercostal space, the direction of the anterior axillary line and the mid-axillary line, etc. These landmarks serve as the basic reference coordinates for the layout of chest lead electrodes and are the core of ensuring the standardization of electrode fitting. After obtaining these anatomical coordinates, the system combines the known standard acquisition points of chest leads V1-V6, and calculates the geometric center and rotation angle of the patch that best matches the current user's chest through spatial affine transformation, chest fitting algorithm and patch contour matching model. The system also takes into account influencing factors such as the patient's current position (such as lying flat, half-sitting), gender differences (such as the female breast occlusion area), and further fine-tunes the patch's fitting area so that the entire patch is not only fully fitted in terms of horizontal length, but also accurately covers all lead points in the longitudinal position. After the calculation is complete, the system displays the ideal fitting area directly on the user's chest image via an overlay or augmented reality display. This image can be a real-time patient chest image, a pre-processed fitting model, or a semi-transparent guide map. For example, the system interface will display a dotted outline indicating "Please align the center of the patch with this area," or directly mark the three alignment points that the patch should cover on the image, with specific instructions such as "Align the upper left with the lower edge of the anterior axillary line, and the lower right with the 5th intercostal space along the midclavicular line." This visual guidance can also be combined with structural markings on the patch itself to provide visual and real-world guidance. The patch surface can be printed with standardized markings, such as numbered numbers, colored corners, or transparent alignment windows. During actual electrode placement, medical personnel simply align these physical markers with the positions indicated in the system prompt image for quick and accurate electrode application. For example, the image prompt "Align the red mark on the patch with the 4th intercostal space on the left chest" allows the operator to quickly complete positioning, making it particularly suitable for time-sensitive applications or for non-professionals. Through this image-guided mechanism, the system not only improves the spatial accuracy of the patch during use, but also significantly reduces the difficulty of operation, avoiding ECG waveform abnormalities, amplitude imbalance between leads, or artifact waveform problems caused by patch position offset. This method has significant practical value for emergency, intraoperative monitoring, pre-hospital emergency care, and mobile medical scenarios. It is especially suitable for groups such as patients with unusual chest shapes, female patients, or children who require individualized operational guidance. For example, when a female patient undergoes preoperative ECG monitoring, the system recognizes that her chest shape is significantly different from that of a standard male model. It automatically adjusts the patch to avoid the breast area, and displays the ideal fitting area in a translucent green frame on the screen. The operator is prompted to "the lower edge of the patch corresponds to the 6th intercostal space, rotate 5° to the right and tilt upwards." Ultimately, a precise and comfortable fit is achieved, ensuring the integrity and stability of the ECG lead signal.

[0073] In some examples, the step of acquiring the collected ECG signal of the target user based on wireless transmission includes:

[0074] The collected electrocardiogram signal of the target user is obtained based on the Bluetooth transmission method.

[0075] It is understood that this can be achieved using Bluetooth transmission. This wireless communication method is suitable for hospital clinical environments, mobile medical devices, and personal health monitoring scenarios. It enables low-power, short-distance, high-speed data communication while ensuring stable data transmission, meeting the technical requirements of ECG signal continuity and real-time performance. After the integrated chest lead patch completes electrical signal acquisition and front-end preprocessing (including signal amplification, filtering, and analog-to-digital conversion), the system's built-in micro-wireless communication module establishes a pairing connection with a nearby receiving terminal via the Bluetooth protocol. This receiving terminal can be a portable ECG monitor, a Bluetooth receiver module in a doctor's workstation, a tablet device, a smartphone, or other medical information processing device equipped with Bluetooth reception. For example, this system uses Bluetooth Low Energy technology as the primary communication protocol. BLE, with its low power consumption, fast connection speed, and strong data broadcast capabilities, is ideal for data transmission scenarios involving wearable and adhesive medical devices. Once the connection is established, the ECG patch periodically transmits collected ECG data packets in a standard data stream. Each packet contains a complete multi-lead signal frame with a timestamp, channel number, and checksum information to ensure data integrity and traceability. To enhance real-time data visibility, the Bluetooth module, in conjunction with the ECG software system running on the terminal device, enables real-time reconstruction, synchronous display, and intelligent analysis of ECG waveforms. On the data receiving end, the system dynamically determines connection stability based on the number of data frames received per second and provides prompts for action in the event of data delay, packet loss, or weak Bluetooth signal, thus preventing ECG signal discontinuity or distortion. For example, during mobile hospital rounds, medical staff can apply a full-sheet ECG patch to patients, which transmits the collected signal via Bluetooth to a tablet held by the doctor making the rounds. Doctors can view patients' ECG waveforms and AI recognition results in real time while on the ward, eliminating the need for a wired bedside ECG unit, significantly improving the flexibility and efficiency of information collection. Furthermore, in certain scenarios (such as ambulances, community health centers, or home monitoring), the Bluetooth module can serve as a relay, sending data to mobile terminals connected to a remote center. The remote center then uploads the data remotely via 4G / 5G networks or Wi-Fi, enabling remote monitoring and multi-point sharing of ECG data. In summary, the introduction of Bluetooth as a wireless transmission method in this method not only effectively avoids the space limitations and entanglement problems brought by traditional ECG cables, but also has many advantages such as convenient deployment, low cost, and strong compatibility. It is a key component for realizing the miniaturization, wirelessness, and mobility of patch-type ECG devices.

[0076] See also Figure 2 An embodiment of the electrocardiogram signal acquisition and management device in the embodiment of the present application may include:

[0077] The acquisition unit 21 is used to acquire the target user's electrocardiogram signal through a plurality of electrodes, wherein the plurality of electrodes are distributed at preset positions of the whole-piece chest lead adhesive patch;

[0078] The transmission unit 22 is configured to obtain the collected ECG signal of the target user based on wireless transmission;

[0079] The analyzing unit 23 is used to analyze and display the ECG signal of the target user.

[0080] In summary, the ECG signal acquisition and management device provided in the embodiments of the present application collects the ECG signals of a target user using multiple electrodes distributed at preset positions on a single-piece chest lead patch; obtains the collected ECG signals of the target user via wireless transmission; and analyzes and displays the ECG signals of the target user. This method, based on the structural integration of the electrode patch and the digital and wireless signal processing, effectively solves many problems existing in traditional ECG equipment. First, in terms of electrode placement, the preset electrode layout of the single-piece patch reduces the problem of lead wire entanglement, making the operation process simpler. This can significantly shorten preparation time and improve rescue efficiency, especially in emergency or intraoperative situations. Second, the patch fixation method uses medical colloid adhesion instead of traditional negative pressure suction bulbs, avoiding data errors and skin damage caused by suction bulb failure or repeated reattachment. This is particularly suitable for the elderly, infants, or patients with skin diseases, significantly improving the patient experience. Third, in terms of data transmission, the use of wireless transmission mode eliminates the interference of connecting wires on bed space, improves the flexibility of ward wiring, and avoids signal loss caused by lead wire detachment. Finally, through terminal analysis and AI system integration, this method can complete ECG waveform recognition and risk warning in the first time, which not only improves diagnostic efficiency but also gains valuable time for subsequent treatment.

[0081] like Figure 3 As shown, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any of the above-mentioned methods for ECG signal acquisition management are implemented:

[0082] Collecting the target user's electrocardiogram signal through multiple electrodes, wherein the multiple electrodes are distributed at preset positions of the whole-piece chest lead patch;

[0083] Acquiring the collected electrocardiogram signal of the target user based on wireless transmission;

[0084] The target user's electrocardiogram signal is analyzed and displayed.

[0085] Since the electronic device introduced in this embodiment is a device used to implement an electrocardiogram signal acquisition and management device in the embodiment of this application, based on the method introduced in the embodiment of this application, technical personnel in this field can understand the specific implementation of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of this application will not be introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of this application falls within the scope of protection of this application.

[0086] In the specific implementation process, the computer program 311 can be implemented when executed by the processor Figure 1 Any implementation manner in the corresponding embodiment:

[0087] Collecting the target user's electrocardiogram signal through multiple electrodes, wherein the multiple electrodes are distributed at preset positions of the whole-piece chest lead patch;

[0088] Acquiring the collected electrocardiogram signal of the target user based on wireless transmission;

[0089] The target user's electrocardiogram signal is analyzed and displayed.

[0090] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0091] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0092] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0093] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0094] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0095] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of ECG signal acquisition and management in the corresponding embodiment.

[0096] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)).

[0097] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0098] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0099] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0100] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0101] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0102] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for collecting and managing electrocardiogram signals, characterized in that: include: Collecting the target user's electrocardiogram signal through multiple electrodes, wherein the multiple electrodes are distributed at preset positions of the whole-piece chest lead patch; Acquiring the collected electrocardiogram signal of the target user based on wireless transmission; The target user's electrocardiogram signal is analyzed and displayed.

2. The method according to claim 1, wherein The multiple electrodes are 6 chest lead electrodes, the preset positions are associated with the 6 chest lead electrode preset collection positions, and the outer contour of the whole-piece chest lead adhesive sheet matches the shape of the connection line formed by the 6 chest lead electrode preset collection positions.

3. The method according to claim 1, wherein The whole-piece chest lead adhesive sheet is elastic, and the method further comprises: Acquiring basic physiological information of the target user based on the medical management system; Predicting the target user's body shape information based on the basic physiological information, where the body shape information includes weight data and height data; Predicting a target stretching state of the one-piece chest lead adhesive patch that matches the target user based on the body posture information, wherein the initial shape of the one-piece chest lead adhesive patch matches a preset minimum user to be monitored; Prompt information including the target stretching state is generated to prompt an operator of electrocardiogram monitoring.

4. The method according to claim 1, wherein The whole-piece chest lead adhesive sheet is elastic, and the method further comprises: Collecting image information of the target user; determining the body shape information of the target user according to the image information; Predicting a target stretching state of the one-piece chest lead adhesive patch that matches the target user based on the body shape information, wherein the initial shape of the one-piece chest lead adhesive patch matches a preset minimum user to be monitored; Prompt information including the target stretching state is generated to prompt an operator of electrocardiogram monitoring.

5. The method according to claim 3 or 4, wherein: The method further comprises: calculating, based on the target stretching state, a theoretical pulling force that the whole-piece chest lead adhesive sheet bears when the whole-piece chest lead adhesive sheet reaches the target stretching state; When the actual pulling force borne by the whole-piece chest lead adhesive patch reaches the theoretical pulling force, a prompt message is generated.

6. The method according to claim 4, wherein Also includes: Calculating the ideal adhesion coverage position of the whole-piece chest lead adhesive patch based on the body shape information of the target user; The ideal pasting covering position is displayed in the image information of the target user to prompt the operator of the electrocardiogram monitoring.

7. The method according to claim 1, wherein The acquiring of the collected electrocardiogram signal of the target user based on wireless transmission includes: The collected electrocardiogram signal of the target user is obtained based on the Bluetooth transmission method.

8. An electrocardiogram signal acquisition and management device, characterized in that: include: A collection unit, configured to collect the target user's electrocardiogram (ECG) signals through a plurality of electrodes, the plurality of electrodes being distributed at preset positions of the whole-piece chest lead patch; A transmission unit, configured to obtain the collected ECG signal of the target user based on a wireless transmission method; The analyzing unit is used to analyze and display the electrocardiogram signal of the target user.

9. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the electrocardiogram signal acquisition and management method as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the electrocardiogram signal acquisition and management method according to any one of claims 1 to 7 is implemented.

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