Respiratory function rehabilitation effect evaluation device
By using wearable devices and sensor modules to monitor pressure and vibration data in real time in respiratory function rehabilitation, and combining the control module to evaluate the rehabilitation effect, the subjectivity and inaccuracy of the existing evaluation methods are solved, personalized rehabilitation plans and immediate feedback are achieved, and the objectivity and efficiency of the evaluation are improved.
Patent Information
- Application Number
- CN202510483164.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-08-15
AI Technical Summary
The existing methods for evaluating the rehabilitation effect of respiratory function mainly rely on subjective questionnaires and clinical experience, lack objective and quantitative tools, and cannot be monitored in real time, resulting in strong subjectivity of the assessment, incomplete data, and complex operation, making it difficult to meet the needs of personalized rehabilitation.
Wearable devices are used to collect pressure and vibration data during breathing, combine sensor modules and control modules for real-time monitoring and evaluation, and the rehabilitation effect is evaluated based on pressure changes and vibration signals through the control module, and is equipped with an alarm and display module to provide immediate feedback.
Realize instant evaluation of respiratory function rehabilitation and personalized plan formulation, improve the objectivity and accuracy of evaluation, enhance user experience and rehabilitation efficiency, support remote monitoring and data analysis, and promote scientific research and teaching.
Smart Images
Figure CN120477756A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of medical equipment, and in particular to a device for evaluating the effect of respiratory function rehabilitation. Background Art
[0002] Respiratory diseases such as chronic obstructive pulmonary disease (COPD) and asthma seriously affect the quality of life of patients and place a huge burden on the medical system. Therefore, early diagnosis, effective treatment and scientific management of respiratory diseases are crucial. Respiratory function rehabilitation, as a comprehensive non-drug treatment, can improve the respiratory function, exercise capacity, quality of life and psychological state of patients with respiratory diseases, but its effect evaluation mainly relies on subjective questionnaires and clinical experience, and lacks objective and quantitative tools. Existing evaluation methods have problems such as strong subjectivity, inability to monitor in real time, incomplete data and complex operation, which make it difficult to meet personalized rehabilitation needs. Therefore, the development of a respiratory function rehabilitation effect evaluation device that can monitor multiple parameters, provide real-time feedback, is easy to operate and has data analysis functions can not only improve the objectivity and accuracy of the evaluation, but also provide patients with more efficient rehabilitation plans, which has important clinical application value and social significance. Summary of the Invention
[0003] The present application provides a respiratory function rehabilitation effect evaluation device to improve the evaluation efficiency of respiratory function rehabilitation.
[0004] The present application provides a respiratory function rehabilitation effect evaluation device, comprising:
[0005] Wearable devices for collecting pressure data during breathing;
[0006] A sensor module is used to collect pressure change data and vibration data during breathing;
[0007] The control module is used to evaluate the respiratory function rehabilitation effect based on the pressure change data and vibration signals during the breathing process and obtain the respiratory function rehabilitation results.
[0008] In the above technical solution, a wearable device is set up to collect pressure data during the breathing process; a sensor module is used to collect pressure change data and vibration data during the breathing process; a control module is used to evaluate the respiratory function rehabilitation effect based on the pressure change data and vibration signals during the breathing process to obtain the respiratory function rehabilitation results; through the wearable device and the sensor module, the pressure changes and vibration signals during the breathing process can be monitored in real time, providing data support for the immediate evaluation of respiratory function rehabilitation; the control module can quickly evaluate the respiratory function rehabilitation effect based on the real-time monitored data and give feedback, thereby improving the evaluation efficiency of respiratory function rehabilitation.
[0009] In a specific embodiment, it also includes: an alarm module, wherein,
[0010] The alarm module is used to trigger the alarm module to issue an alarm when the control module detects abnormal respiratory parameters or poor rehabilitation effect.
[0011] In a specific embodiment, it further includes: a display module, wherein,
[0012] The display module is used to display respiratory parameters and rehabilitation effect evaluation results in real time.
[0013] In a specific embodiment, the sensor module includes:
[0014] Pressure sensor, used to collect pressure change data;
[0015] Vibration sensor, used to collect vibration signals during breathing.
[0016] In a specific embodiment, the wearable device includes a back piece, wherein:
[0017] The back piece is provided with a chest piece and a belly piece.
[0018] The bra piece and the abdominal piece are provided with a plurality of air bags, which are connected to the pressure sensor and are used for collecting pressure data during breathing in real time.
[0019] In a specific embodiment, the chest piece and the belly piece are both detachably connected to the back piece.
[0020] In a specific implementation scheme, the control module is a single chip microcomputer control module.
[0021] In a specific embodiment, the control module includes:
[0022] A data preprocessing unit, used for preprocessing the collected pressure data and vibration data;
[0023] A feature extraction unit, used to extract feature parameters from the pre-processed pressure data and vibration data;
[0024] The evaluation unit is used to evaluate the respiratory function rehabilitation effect based on the extracted characteristic parameters.
[0025] In a specific implementation scheme, the algorithm for extracting characteristic parameters adopts a time-domain to frequency-domain conversion algorithm.
[0026] In a specific embodiment, the display module includes a touch screen. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 This is a structural block diagram of the respiratory function rehabilitation effect evaluation device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0028] The present application will be further described in detail below through the accompanying drawings and examples, through which the features and advantages of the present application will become more clear and distinct.
[0029] The word "exemplary" is used exclusively herein to mean "serving as an example, example, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. Although various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless otherwise indicated.
[0030] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.
[0031] To facilitate understanding of the respiratory function rehabilitation effect evaluation device provided in the embodiment of the present application, its application scenario is first explained. The respiratory function rehabilitation effect evaluation device provided in the embodiment of the present application is used to improve the evaluation efficiency of respiratory function rehabilitation. As a comprehensive non-drug treatment method, respiratory function rehabilitation can improve the respiratory function, exercise ability, quality of life and psychological state of patients with respiratory diseases, but its effect evaluation mainly relies on subjective questionnaires and clinical experience, and lacks objective and quantitative tools. The existing evaluation methods have problems such as strong subjectivity, inability to monitor in real time, incomplete data and complex operation, which are difficult to meet personalized rehabilitation needs. Therefore, the development of a respiratory function rehabilitation effect evaluation device that can monitor multiple parameters, provide real-time feedback, is easy to operate and has data analysis functions can not only improve the objectivity and accuracy of the evaluation, but also provide patients with a more efficient rehabilitation plan, which has important clinical application value and social significance. Evaluation Evaluation The following is a detailed description of the embodiments in conjunction with specific drawings.
[0032] refer to Figure 1 , Figure 1 This is a structural block diagram of the respiratory function rehabilitation effect evaluation device provided in an embodiment of the present application.
[0033] exist Figure 1 The present application provides a respiratory function rehabilitation effect evaluation device, comprising:
[0034] Wearable devices for collecting pressure data during breathing;
[0035] A sensor module is used to collect pressure change data and vibration data during breathing;
[0036] The control module is used to evaluate the respiratory function rehabilitation effect based on the pressure change data and vibration signals during the breathing process and obtain the respiratory function rehabilitation results.
[0037] In the above technical solution, a wearable device is set up to collect pressure data during the breathing process; a sensor module is used to collect pressure change data and vibration data during the breathing process; a control module is used to evaluate the respiratory function rehabilitation effect based on the pressure change data and vibration signals during the breathing process to obtain the respiratory function rehabilitation results; through the wearable device and the sensor module, the pressure changes and vibration signals during the breathing process can be monitored in real time, providing data support for the immediate evaluation of respiratory function rehabilitation; the control module can quickly evaluate the respiratory function rehabilitation effect based on the real-time monitored data and give feedback, thereby improving the evaluation efficiency of respiratory function rehabilitation.
[0038] Specifically, wearable devices are set up to collect pressure data during breathing, and the respiratory function rehabilitation effect is evaluated by combining the sensor module and the control module; the beneficial effects include:
[0039] Real-time monitoring and evaluation: Wearable devices and sensor modules can monitor pressure changes and vibration signals during breathing in real time, providing data support for immediate evaluation of respiratory function rehabilitation. The control module can quickly evaluate the effect of respiratory function rehabilitation based on the real-time monitoring data and provide feedback to help users or medical staff adjust the rehabilitation plan in a timely manner, thereby improving the evaluation efficiency of respiratory function rehabilitation.
[0040] Personalized rehabilitation plan: The system records and analyzes each user's respiratory function data to develop a personalized rehabilitation plan based on individual differences. Through continuous monitoring and evaluation, the system can dynamically adjust the rehabilitation plan to ensure the effectiveness and relevance of the rehabilitation process.
[0041] Improved rehabilitation efficiency: Real-time monitoring and immediate feedback help users better understand their respiratory function and participate more actively in the rehabilitation process. Personalized rehabilitation plans and dynamic adjustment strategies maximize rehabilitation outcomes and shorten the recovery period.
[0042] Enhanced user experience: Wearable device design typically prioritizes comfort and portability, ensuring users experience no discomfort or limitations during use. The system provides intuitive and easy-to-understand displays of rehabilitation results, helping users better understand their progress.
[0043] Data Visualization and Analysis: The system generates detailed respiratory function data reports, including pressure curves and vibration signal graphs, providing comprehensive data analysis support for medical staff. Data visualization helps medical staff more intuitively understand the patient's respiratory function status, leading to more accurate diagnosis and rehabilitation recommendations.
[0044] Remote Monitoring and Management: The system supports remote data transmission and monitoring, allowing medical staff to view the user's respiratory function data in real time at different locations. This helps medical staff identify problems promptly and take appropriate measures, ensuring that the patient's recovery process receives continuous attention and effective management.
[0045] Promoting scientific research and teaching: The respiratory function data collected by the system can be used for scientific research, providing valuable data support for research in the field of respiratory function rehabilitation. The system can also serve as a teaching tool to help students understand the principles and practical methods of respiratory function rehabilitation.
[0046] In a specific embodiment, it also includes: an alarm module, wherein,
[0047] The alarm module is used to trigger the alarm module to issue an alarm when the control module detects abnormal respiratory parameters or poor rehabilitation effect.
[0048] In a specific embodiment, it further includes: a display module, wherein,
[0049] The display module is used to display respiratory parameters and rehabilitation effect evaluation results in real time.
[0050] In a specific embodiment, the sensor module includes:
[0051] Pressure sensor, used to collect pressure change data;
[0052] Vibration sensor, used to collect vibration signals during breathing.
[0053] In a specific embodiment, the wearable device includes a back piece, wherein:
[0054] The back piece is provided with a chest piece and a belly piece.
[0055] The bra piece and the abdominal piece are provided with a plurality of air bags, which are connected to the pressure sensor and are used for collecting pressure data during breathing in real time.
[0056] Specifically, the wearable device includes a back piece, a chest piece, and a belly piece disposed on the back piece. The chest piece and the belly piece are provided with multiple airbags, which are connected to pressure sensors for real-time collection of pressure data during breathing. Beneficial effects include:
[0057] 1. Accurately monitor respiratory status
[0058] Real-time data feedback: The airbag can expand and contract accordingly with the rise and fall of the chest and abdomen during breathing. These changes can be captured in real time through the pressure sensor, thereby accurately reflecting key indicators such as breathing depth and frequency.
[0059] Personalized assessment: Since everyone's breathing pattern is different, by real-time monitoring of pressure data during breathing, a personalized respiratory function assessment can be provided to each user, which helps to develop a more accurate rehabilitation plan.
[0060] 2. Assisted respiratory function rehabilitation training
[0061] Dynamically adjust training intensity: During respiratory function rehabilitation training, the system can dynamically adjust the training intensity based on the real-time monitored respiratory function data to ensure that users train within a safe and effective range.
[0062] Instant feedback on training effects: Users can instantly understand their training effects by viewing real-time monitored respiratory function data, thereby participating in training more actively and improving recovery efficiency.
[0063] 3. Improve user experience and comfort
[0064] Comfortable and fitting design: The airbag design on the bra and abdominal pieces usually focuses on comfort and fit to ensure that it does not cause discomfort to the user during long-term wear.
[0065] Lightweight and portable: The entire wearable device is designed to be lightweight and easy to carry, and users can easily use it in various scenarios such as at home, in the hospital, or outdoors.
[0066] In a specific embodiment, the chest piece and the belly piece are both detachably connected to the back piece.
[0067] Specifically, the bra piece and the belly piece are both detachably connected to the back piece, and the beneficial effects include:
[0068] 1. Improved flexibility and convenience
[0069] Easy to Wear and Adjust: Users can easily connect or remove the bra, abdomen, and back panels according to their needs and comfort, making the donning process more convenient. Users can also easily adjust the position or number of airbags to suit different rehabilitation needs.
[0070] Easy to clean and maintain: The detachable connection allows the bra, belly, and back panels to be cleaned separately, helping to keep the equipment clean and tidy. This also helps to extend the service life of the equipment and reduce maintenance costs.
[0071] 2. Personalized and customized services
[0072] Meet the needs of different body shapes: Due to the differences in body shape and breathing patterns among different users, the detachable connection method allows the bra and abdominal pieces to be customized or adjusted according to the user's body shape to ensure the best fit and comfort.
[0073] Adaptable to different rehabilitation stages: At different stages of respiratory rehabilitation, users may require different rehabilitation intensities and equipment configurations. The detachable connection allows users to easily adjust the equipment configuration to meet the needs of different stages according to the rehabilitation progress.
[0074] 3. Easy to upgrade and expand
[0075] Technology Upgrade: With technological advancements and developments in respiratory rehabilitation technology, the functionality and performance of wearable devices are likely to continue to improve. Detachable connections allow users to easily upgrade components such as sensors and airbags on the chest, abdomen, or back panels without replacing the entire device.
[0076] Functional expansion: Users can also add additional functional modules as needed, such as vibration sensors, heart rate monitors, etc., to enrich the functions of the device and improve the rehabilitation effect.
[0077] In a specific implementation scheme, the control module is a single chip microcomputer control module.
[0078] In a specific embodiment, the control module includes:
[0079] A data preprocessing unit, used for preprocessing the collected pressure data and vibration data;
[0080] A feature extraction unit, used to extract feature parameters from the pre-processed pressure data and vibration data;
[0081] The evaluation unit is used to evaluate the respiratory function rehabilitation effect based on the extracted characteristic parameters.
[0082] In a specific implementation scheme, the algorithm for extracting characteristic parameters adopts a time-domain to frequency-domain conversion algorithm.
[0083] Specifically, the step of extracting feature parameters by the feature extraction unit includes:
[0084] The pressure data and vibration data are converted from time domain to frequency domain to obtain the characteristic frequency set; Fourier transform is used.
[0085] Constructing a large evaluation model based on the feature frequency set; the large evaluation model adopts a recurrent neural network of Transformer architecture;
[0086] The evaluation model is used to evaluate the effect of respiratory function rehabilitation.
[0087] If the evaluation model adopts a recurrent neural network with a Transformer architecture, the advantages are:
[0088] Based on the self-attention mechanism: The core of the Transformer is the self-attention mechanism, which allows the model to perform a weighted summation of the input at each position when processing sequential data to obtain a global contextual representation. This mechanism enables the Transformer to efficiently capture long-range dependencies, which is particularly important for processing time series information in respiratory function data.
[0089] Encoder-Decoder Architecture: The Transformer uses an encoder-decoder architecture, where the encoder maps the input sequence to a continuous representation, and the decoder decodes these representations into a target sequence. This architecture enables the Transformer to flexibly handle input and output sequences of varying lengths, making it suitable for the diversity of respiratory function data.
[0090] Multi-head attention mechanism: To improve the model's expressiveness, the Transformer uses a multi-head attention mechanism, which simultaneously focuses on information from different representation subspaces. This helps the model more comprehensively capture the characteristic information in respiratory function data.
[0091] Positional encoding: Because the Transformer is a pure attention mechanism and does not utilize the positional information of elements in the sequence, positional encoding is introduced to compensate for this deficiency. The introduction of positional encoding enables the Transformer to better handle positional relationships in sequence data, which is crucial for analyzing respiratory function data.
[0092] Efficiently processing long sequences of data: Respiratory function data often contains multiple physiological parameters over long periods of time, forming long sequences of data. Transformer's self-attention mechanism enables efficient processing of long sequences of data, capturing key information.
[0093] Parallel computing capabilities: Transformer's parallel computing capabilities significantly improve training and inference efficiency, supporting larger models and processing longer sequences. This enables large evaluation models based on the Transformer architecture to process large amounts of respiratory function data in a short period of time, improving evaluation efficiency.
[0094] Powerful expressiveness: Through components such as the multi-head attention mechanism and feedforward neural network, the Transformer has powerful expressiveness, which enables it to learn complex feature patterns in respiratory function data and improve the accuracy of evaluation.
[0095] Flexibility: The Transformer-based evaluation model can handle input and output sequences of variable lengths, adapting to respiratory function data from different patients. This flexibility enables the model to be more widely applied in various respiratory function rehabilitation scenarios.
[0096] Using a Transformer-based neural network as the evaluation model will be able to efficiently process long sequences of information in respiratory function data, capture key features, and improve the accuracy and efficiency of the evaluation. Furthermore, the model possesses powerful expressiveness and flexibility, making it suitable for diverse respiratory function rehabilitation scenarios.
[0097] Furthermore, the pressure data and vibration data are converted from the time domain to the frequency domain to obtain a characteristic frequency set. Based on this characteristic frequency set, a large evaluation model is constructed, and then the model is used to evaluate the effect of respiratory function rehabilitation. The beneficial effects include:
[0098] Improve signal analysis accuracy: Time-to-frequency conversion can convert signals from the time domain to the frequency domain, allowing for more intuitive analysis of the signal's frequency characteristics. Extracting characteristic frequency sets helps assess key frequency components in the signal, providing an accurate data foundation for subsequent evaluation models.
[0099] Enhanced model generalization: The large-scale evaluation model, built based on a set of characteristic frequencies, can learn the signal characteristics of different respiratory recovery states. With a large amount of training data, the model can evaluate characteristic patterns related to respiratory recovery outcomes, thereby improving the accuracy of the evaluation.
[0100] Real-time monitoring and evaluation: This evaluation model can be embedded in a real-time monitoring system to analyze the patient's respiratory function data in real time. By comparing it with pre-set rehabilitation goals, the system can instantly evaluate the rehabilitation effect and provide timely feedback to doctors.
[0101] Development of a personalized rehabilitation plan: Through the assessment model, doctors can understand the patient's specific recovery situation. Based on the assessment results, doctors can develop a personalized rehabilitation plan for the patient, including respiratory muscle strength training, to improve the recovery effect.
[0102] Objective quantification of rehabilitation effects: Traditional evaluation of respiratory function rehabilitation outcomes relies primarily on the patient's subjective experience and the physician's empirical judgment. This evaluation model allows for objective quantification of rehabilitation outcomes, providing physicians with a more accurate basis for assessment.
[0103] Improve patient satisfaction and compliance: The real-time monitoring and evaluation system allows patients to more intuitively understand their rehabilitation progress. By seeing the obvious rehabilitation results, patients can participate more actively in rehabilitation training, thereby improving patient satisfaction and compliance.
[0104] Reduce medical costs: Through real-time monitoring and evaluation, rehabilitation plans can be adjusted promptly to avoid unnecessary waste of medical resources. At the same time, by improving rehabilitation effects, patients' hospitalization time and medical expenses can be reduced.
[0105] Promoting the development of respiratory rehabilitation technology: The successful application of this assessment model will promote the further development of respiratory rehabilitation technology. By continuously optimizing and improving the model, the efficiency and effectiveness of respiratory rehabilitation can be further improved.
[0106] In a specific embodiment, the display module includes a touch screen.
[0107] Those skilled in the art will appreciate that the present application may be implemented as a system, method, or computer program product.
[0108] Therefore, the present disclosure may be implemented in the following forms: entirely in hardware, entirely in software (including firmware, resident software, microcode, etc.), or in a combination of hardware and software, generally referred to herein as a "circuit," "module," or "system." Furthermore, in some embodiments, the present disclosure may be implemented in the form of a computer program product embodied in one or more computer-readable media, wherein the computer-readable media contains computer-readable program code.
[0109] Any combination of one or more computer-readable media can be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.
[0110] Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application. Various substitutions and improvements may be made to the present application on this basis, all of which fall within the scope of protection of the present application.
Claims
1. A respiratory function rehabilitation effect evaluation device, characterized in that: include: Wearable devices for collecting pressure data during breathing; A sensor module is used to collect pressure change data and vibration data during breathing; The control module is used to evaluate the respiratory function rehabilitation effect based on the pressure change data and vibration signals during the breathing process and obtain the respiratory function rehabilitation results.
2. The respiratory function rehabilitation effect evaluation device according to claim 1, characterized in that: Also includes: Alarm module, where The alarm module is used to trigger the alarm module to issue an alarm when the control module detects abnormal respiratory parameters or poor rehabilitation effect.
3. The respiratory function rehabilitation effect evaluation device according to claim 2, characterized in that: Also includes: Display module, where The display module is used to display respiratory parameters and rehabilitation effect evaluation results in real time.
4. The respiratory function rehabilitation effect evaluation device according to claim 3, characterized in that: The sensor module includes: Pressure sensor, used to collect pressure change data; Vibration sensor, used to collect vibration signals during breathing.
5. The respiratory function rehabilitation effect evaluation device according to claim 4, characterized in that: The wearable device includes a back piece, wherein: The back piece is provided with a chest piece and a belly piece. The bra piece and the abdominal piece are provided with a plurality of air bags, which are connected to the pressure sensor and are used for collecting pressure data during breathing in real time.
6. The respiratory function rehabilitation effect evaluation device according to claim 5, characterized in that: The bra piece and the belly piece are both detachably connected to the back piece.
7. The respiratory function rehabilitation effect evaluation device according to claim 6, characterized in that: The control module is a single chip microcomputer control module.
8. The respiratory function rehabilitation effect evaluation device according to claim 7, characterized in that: The control module includes: A data preprocessing unit, used for preprocessing the collected pressure data and vibration data; A feature extraction unit, used to extract feature parameters from the pre-processed pressure data and vibration data; The evaluation unit is used to evaluate the respiratory function rehabilitation effect based on the extracted characteristic parameters.
9. The respiratory function rehabilitation effect evaluation device according to claim 8, characterized in that: The algorithm for extracting characteristic parameters adopts the algorithm of time domain to frequency domain conversion.
10. The respiratory function rehabilitation effect evaluation device according to claim 9, characterized in that: The display module includes a touch screen.