Respiration action tracking and recording solution

By providing a breathing movement tracking and recording solution, personalized training plans and real-time monitoring are offered, addressing the lack of professional guidance at home and improving the effectiveness and standard of respiratory rehabilitation training.

CN121922307APending Publication Date: 2026-04-24THE FIRST AFFILIATED HOSPITAL OF GUANGZHOU MEDICAL UNIV (GUANGZHOU RESPIRATORY CENT)
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Patent Information

Application Number
CN202411485091.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-23
Publication Date
2026-04-24

AI Technical Summary

Technical Problem

The lack of professional guidance and unclear training standards when conducting respiratory rehabilitation training at home affects the rehabilitation effect.

Method used

This solution provides a breathing motion tracking and recording solution, allowing users to register and create personalized training plans via a mini-program. The plan includes training videos and human-computer interaction, real-time monitoring and voice prompts, and rating and adjusting training plans based on training data.

Benefits of technology

This enabled personalized respiratory rehabilitation training at home, enhanced patient engagement, ensured training standards, and allowed for adjustments to the program based on training data, thereby improving rehabilitation outcomes.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a respiratory action tracking and recording solution. The recording scheme comprises the following steps: logging in an applet, registering an account and filling basic information, selecting a hospital and a doctor, importing patient data, and automatically making a training plan according to the patient data. The method comprises the following steps: providing a corresponding training rehabilitation video according to a formulated training plan, playing the training rehabilitation video by a training module and performing man-machine interaction, transmitting an action image when a patient follows the training to a monitoring module in real time, detecting the action strength and the action standard degree by the monitoring module, and analyzing respiratory frequency and depth data according to the respiratory action of the patient; if the monitoring module monitors that the action is not standard, voice prompt is carried out until the training item is completed. The system is convenient to use, and can achieve tracking and recording when a patient is not supervised by professionals and returns to home.
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Description

Technical Field

[0001] This invention relates to the field of respiratory motion tracking and recording technology, specifically a respiratory motion tracking and recording solution. Background Technology

[0002] Respiratory rehabilitation, also known as pulmonary rehabilitation, was officially defined in 2013 by the European Respiratory Society (ERS) and the American Thoracic Society (ATS): Pulmonary rehabilitation is a comprehensive, multidisciplinary intervention based on detailed patient assessment and personalized treatment, including but not limited to exercise, health education, and behavioral modification. It is a branch of rehabilitation medicine that, based on the patient's specific condition, develops a multidisciplinary rehabilitation plan through accurate diagnosis, treatment, psychological support, and education to stabilize or reverse the pathological changes caused by lung disease, aiming to restore respiratory function to its optimal state under normal living conditions. Respiratory rehabilitation is a crucial component of clinical rehabilitation, and the difference in recovery outcomes between patients who undergo it and those who do not is significant. While hospital-based respiratory rehabilitation provides guidance from medical staff, home-based respiratory rehabilitation training often lacks professional guidance, requiring users to follow the doctor's prescribed training schedule.

[0003] Existing home-based respiratory rehabilitation training suffers from technical problems due to a lack of professional guidance and management, resulting in unclear training standards and affecting the effectiveness of rehabilitation training. Therefore, a respiratory movement tracking and recording solution is proposed to address these issues. Summary of the Invention

[0004] The purpose of this invention is to provide a respiratory motion tracking and recording solution, the steps of which include: Step 1: Log in to the mini program, register an account and fill in basic information, select the hospital and doctor, import patient information, and determine the daily training duration and breathing exercises based on the degree of breathing difficulties determined by the attending physician. Training videos will be automatically generated based on the breathing exercises. Step Two: Provide corresponding training and rehabilitation videos according to the established training plan. The training and rehabilitation videos include, but are not limited to, stretching and sit-up rehabilitation exercises, bridge exercise rehabilitation exercises, and air cycling rehabilitation exercises. The three exercises can be performed alternately. Rehabilitation training can be carried out in the hospital bed or at home. Heart rate, peripheral blood oxygen saturation, and respiration can be monitored. Each exercise session should last 15-30 minutes, and the number of times to do the exercises per day should be based on the training plan. The steps for performing the stretching and sit-up rehabilitation exercise are as follows: (1) Hold onto the edge of the bed with both hands, tense and contract the muscles of your upper limbs, and at the same time lift your head; (2) Use upper limb strength to assist the head, shoulders, back and waist to lift off the bed in sequence; (3) Until you are in a vertical sitting position, and maintain the sitting position for 5 seconds; (4) Use your upper limbs to gradually lean back and lie flat, returning to the initial state, and repeat the above exercise.

[0005] The operating steps of the bridge-style exercise rehabilitation are as follows: (1) Lie on your back with your hands on your navel, knees bent, and feet flat on the bed. If you have decreased muscle strength, your family or rehabilitation staff can help you fix your lower limbs and knees. (2) Use the strength of your lower back to gradually lift your buttocks off the bed until they are 5-15cm away from the bed. (3) Maintain the above posture for 5 seconds, relax your buttocks to the bed surface, return to the initial state, and repeat the above exercise again.

[0006] The steps for performing the air cycling rehabilitation exercise are as follows: (1) The patient lies flat, keeping the upper body still, raising both lower limbs, and flexing the hip and knee joints to 90 degrees; (2) Alternately step with both lower limbs to the furthest point, with the knee joint fully extended during the stepping motion; (3) Repeat the above actions until the lower limbs are fatigued, then return to the initial state and rest.

[0007] The training module plays training and rehabilitation videos and enables human-computer interaction. The images of the patient's movements during the training are transmitted to the monitoring module in real time. The monitoring module detects the intensity and standardization of the movements and analyzes respiratory rate and depth data based on the patient's breathing movements. Step 3: If the monitoring module detects that the action is not standard, it will provide voice prompts until the training project is completed. The training data and monitoring data will be transferred to the database for storage, and the attending physician, patient and nurse can view them in real time. Step 4: At the end of each week, summarize the training data and rate it based on the breathing data during training. If the breathing data for the week consists entirely of slow breathing data, it is rated as Level 1; if the breathing data for the week includes four or more days of slow breathing data, it is rated as Level 2; if the breathing data for the week includes less than four days of slow breathing data, it is rated as Level 3. Adjust the training plan according to the rating results and provide feedback to the attending physician. After the attending physician confirms the plan, it is returned to the training module, and the patient trains according to the new plan.

[0008] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention can provide personalized exercise prescriptions for each patient based on their condition, and enable human-computer interaction during training. It corrects the patient's movements in real time through voice prompts, enhancing the patient's sense of participation. It also analyzes respiratory rate and depth data based on the patient's breathing movements, summarizes the training data of the week at the end of each week, and evaluates the patient's condition based on the evaluation results. The training plan is adjusted according to the evaluation results, which is beneficial to the patient's recovery. It is also easy to use. Even when patients are discharged from the hospital and return home without professional supervision and tracking, this solution can still achieve tracking and recording. Attached Figure Description

[0009] Figure 1 is a schematic diagram of the steps of the present invention; Figure 2 is a schematic diagram of the system structure of the present invention. Detailed Implementation

[0010] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0011] As attached Figure 1 As shown, the present invention provides a respiratory action tracking and recording solution, the steps of which include: Step 1: Log in to the mini program, register an account and fill in basic information, select the hospital and doctor, import patient information, and determine the daily training duration and breathing exercises based on the degree of breathing difficulties determined by the attending physician. Training videos will be automatically generated based on the breathing exercises. Step Two: Provide corresponding training and rehabilitation videos according to the established training plan. The training and rehabilitation videos include, but are not limited to, stretching and sit-up rehabilitation exercises, bridge exercise rehabilitation exercises, and air cycling rehabilitation exercises. The three exercises can be performed alternately. Rehabilitation training can be carried out in the hospital bed or at home. Heart rate, peripheral blood oxygen saturation, and respiration can be monitored. Each exercise session should last 15-30 minutes, and the number of times to do the exercises per day should be based on the training plan. The steps for performing the stretching and sit-up rehabilitation exercise are as follows: (1) Hold onto the edge of the bed with both hands, tense and contract the muscles of your upper limbs, and at the same time lift your head; (2) Use upper limb strength to assist the head, shoulders, back and waist to lift off the bed in sequence; (3) Until you are in a vertical sitting position, and maintain the sitting position for 5 seconds; (4) Use your upper limbs to gradually lean back and lie flat, returning to the initial state, and repeat the above exercise.

[0012] The operating steps of the bridge-style exercise rehabilitation are as follows: (1) Lie on your back with your hands on your navel, knees bent, and feet flat on the bed. If you have decreased muscle strength, your family or rehabilitation staff can help you fix your lower limbs and knees. (2) Use the strength of your lower back to gradually lift your buttocks off the bed until they are 5-15cm away from the bed. (3) Maintain the above posture for 5 seconds, relax your buttocks to the bed surface, return to the initial state, and repeat the above exercise again.

[0013] The steps for performing the air cycling rehabilitation exercise are as follows: (1) The patient lies flat, keeping the upper body still, raising both lower limbs, and flexing the hip and knee joints to 90 degrees; (2) Alternately step with both lower limbs to the furthest point, with the knee joint fully extended during the stepping motion; (3) Repeat the above actions until the lower limbs are fatigued, then return to the initial state and rest.

[0014] The training module plays training and rehabilitation videos and enables human-computer interaction. The images of the patient's movements during the training are transmitted to the monitoring module in real time. The monitoring module detects the intensity and standardization of the movements and analyzes respiratory rate and depth data based on the patient's breathing movements. Step 3: If the monitoring module detects that the action is not standard, it will provide voice prompts until the training project is completed. The training data and monitoring data will be transferred to the database for storage, and the attending physician, patient and nurse can view them in real time. Step 4: At the end of each week, summarize the training data and rate it based on the breathing data during training. If the breathing data for the week consists entirely of slow breathing data, it is rated as Level 1; if the breathing data for the week includes four or more days of slow breathing data, it is rated as Level 2; if the breathing data for the week includes less than four days of slow breathing data, it is rated as Level 3. Adjust the training plan according to the rating results and provide feedback to the attending physician. After the attending physician confirms the plan, it is returned to the training module, and the patient trains according to the new plan.

[0015] As attached Figure 2 As shown, the system includes: Login module: Log in to the mini program, register an account and fill in basic information, select the hospital and doctor, and import patient information; Training plan creation module: Automates the creation of training plans based on patient data; Training module: Provides corresponding training and rehabilitation videos according to the established training plan, and plays the training and rehabilitation videos and performs human-computer interaction. Monitoring module: Receives motion images from the training module in real time, detects the force and standardization of the movements based on the motion images, and analyzes respiratory rate and depth data based on the patient's breathing movements. Voice prompt module: If the monitoring module detects that the action is not standard, it will provide voice prompts until the training project is completed; Database: Stores training and monitoring data, which can be viewed in real time by attending physicians, patients, and nurses; Disease assessment module: The training data of the week will be summarized at the end of each week, and the disease status will be rated based on the training data of the week; Training Adjustment Module: Adjust the training plan based on the rating results and provide feedback on the new training plan to the attending physician. After the attending physician confirms the plan, it is returned to the training module, and the patient trains according to the new plan. Example

[0016] Take a patient with difficulty breathing as an example: Step 1: Log in to the mini program, register an account and fill in basic information, select the hospital and doctor, import patient information, and formulate a daily stretching and sitting rehabilitation exercise routine based on the patient information; Step 2: Provide corresponding training and rehabilitation videos according to the established training plan. The training module plays the training and rehabilitation videos and conducts human-computer interaction. The images of the patient's movements during the training are transmitted to the monitoring module in real time. The monitoring module detects the strength and standardization of the movements and analyzes the respiratory rate and depth data based on the patient's breathing movements. Step 3: If the monitoring module detects that the action is not standard, it will provide voice prompts until the training project is completed. The training data and monitoring data will be transferred to the database for storage, and the attending physician, patient and nurse can view them in real time. Step 4: Summarize the training data for the week at the end of each week. If there are fewer than four days of bradybreathing data in the week, it is judged as Grade 3, i.e. dyspnea. Adjust the training plan according to the rating result, reduce the number of training sessions, and provide feedback to the attending physician. After the attending physician confirms, return it to the training module, and the patient will train according to the new training plan. Any technical solution that achieves the above-mentioned technical effects by utilizing the technical solutions described in this invention, or by designing similar technical solutions by those skilled in the art under the inspiration of the technical solutions described in this invention, falls within the protection scope of this invention.

Claims

1. A respiratory motion tracking and recording solution, characterized in that: The steps of this recording scheme include: Step 1: Log in to the mini program, register an account and fill in basic information, select the hospital and doctor, import patient information, and automatically generate a training plan based on the patient information; Step 2: Provide corresponding training and rehabilitation videos according to the established training plan. The training module plays the training and rehabilitation videos and conducts human-computer interaction. The images of the patient's movements during the training are transmitted to the monitoring module in real time. The monitoring module detects the strength and standardization of the movements and analyzes the respiratory rate and depth data based on the patient's breathing movements. Step 3: If the monitoring module detects that the action is not standard, it will provide voice prompts until the training project is completed. The training data and monitoring data will be transferred to the database for storage, and the attending physician, patient and nurse can view them in real time. Step 4: Summarize the training data of the week at the end of each week, assess the patient's condition based on the data, adjust the training plan according to the assessment results, and provide feedback on the new training plan to the attending physician. After the attending physician confirms the plan, it is returned to the training module, and the patient trains according to the new plan.

2. The respiratory action tracking and recording solution according to claim 1, characterized in that: In step one, the automated training plan is developed based on patient information. This involves determining the daily training duration and breathing exercises based on the degree of breathing difficulty as determined by the attending physician, and automatically generating training videos based on the breathing exercises.

3. The respiratory action tracking and recording solution according to claim 1, characterized in that: The training and rehabilitation videos in step two include, but are not limited to, stretching and sit-up rehabilitation exercises, bridge exercise rehabilitation exercises, and air cycling rehabilitation exercises.

4. The respiratory action tracking and recording solution according to claim 3, characterized in that: The steps for performing the stretching and sit-up rehabilitation exercise are as follows: (1) Hold onto the edge of the bed with both hands, tense and contract the muscles of your upper limbs, and at the same time lift your head; (2) Use upper limb strength to assist the head, shoulders, back and waist to lift off the bed in sequence; (3) Until you are in a vertical sitting position, and maintain the sitting position for 5 seconds; (4) Use your upper limbs to gradually lean back and lie flat, returning to the initial state, and repeat the above exercise.

5. A respiratory action tracking and recording solution according to claim 3, characterized in that: The steps for performing the bridge exercise rehabilitation are as follows: (1) Lie on your back with your hands on your navel, knees bent, and feet flat on the bed. If you have decreased muscle strength, your family or rehabilitation staff can help you fix your lower limbs and knees. (2) Use the strength of your lower back to gradually lift your buttocks off the bed until they are 5-15cm away from the bed. (3) Maintain the above posture for 5 seconds, relax your buttocks to the bed surface, return to the initial state, and repeat the above exercise again.

6. The respiratory action tracking and recording solution according to claim 3, characterized in that: The steps for performing the air cycling rehabilitation exercise are as follows: (1) The patient lies flat, keeping the upper body still, raising both lower limbs, and flexing the hip and knee joints to 90 degrees; (2) Alternately step with both lower limbs to the furthest point, with the knee joint fully extended during the stepping motion; (3) Repeat the above actions until the lower limbs are fatigued, then return to the initial state and rest.

7. The respiratory action tracking and recording solution according to claim 1, characterized in that: In step four, the condition is graded based on the training data of the week, and the respiratory data during training is also graded. If the respiratory data of the week are all slow breathing data, it is graded as level one; if the respiratory data of the week has four or more days of slow breathing data, it is graded as level two; if the respiratory data of the week has less than four days of slow breathing data, it is graded as level three.

8. The respiratory action tracking and recording solution according to claim 1, characterized in that: include: Login module: Log in to the mini program, register an account and fill in basic information, select the hospital and doctor, and import patient information; Training plan creation module: Automates the creation of training plans based on patient data; Training module: Provides corresponding training and rehabilitation videos according to the established training plan, and plays the training and rehabilitation videos and performs human-computer interaction. Monitoring module: Receives motion images from the training module in real time, detects the force and standardization of the movements based on the motion images, and analyzes respiratory rate and depth data based on the patient's breathing movements; Voice prompt module: If the monitoring module detects that the action is not standard, it will provide voice prompts until the training project is completed; Database: Stores training and monitoring data, which can be viewed in real time by attending physicians, patients, and nurses; Disease assessment module: The training data of the week will be summarized at the end of each week, and the disease status will be rated based on the training data of the week; Training Adjustment Module: Adjust the training plan based on the rating results and provide feedback on the new training plan to the attending physician. After the attending physician confirms the plan, it is returned to the training module, and the patient trains according to the new plan.