CN117582210A - Children asthma screening and monitoring device - Google Patents
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Abstract
The invention belongs to the field of medical equipment, and discloses a screening and monitoring device for children asthma, which comprises the following components: the device comprises a respiration sensor, a data processing unit, an alarm device and a communication module; the respiration sensor is in remote wireless connection with the data processing unit, and the data processing unit is provided with an alarm device and a communication module. The invention provides a screening and monitoring device for childhood asthma, which combines a respiration sensor, a data processing unit, an alarm device and a communication module, realizes the functions of real-time monitoring, alarm and remote monitoring, solves the problems of inconvenience and insufficient timeliness of the existing childhood asthma detection and screening device, and is expected to play an important role in early intervention and treatment of childhood asthma.
Description
Technical Field
The invention belongs to the field of medical equipment, and particularly relates to a device for screening and monitoring asthma of children.
Background
At present, childhood asthma is a common chronic respiratory disease in children that needs to be monitored and treated early. The traditional monitoring method has the problems of inconvenience and insufficient timeliness, so a new device is needed to realize the screening and monitoring of the asthma of children.
Through the above analysis, the problems and defects existing in the prior art are as follows:
the existing children asthma detection and screening device has the problems of inconvenience and insufficient timeliness.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a screening and monitoring device for children asthma.
The invention is realized in that a pediatric asthma screening and monitoring device comprises: the device comprises a respiration sensor, a data processing unit, an alarm device and a communication module; the respiration sensor is in remote wireless connection with the data processing unit, and the data processing unit is provided with an alarm device and a communication module.
Further, the respiration sensor is a bracelet type and can be worn on the wrist.
Further, the respiration sensor adopts ultrasonic and infrared technology to collect data, so that the accuracy of data collection is ensured.
Further, the data processing unit comprises a processor and a memory, and the processor and the memory are connected and are arranged on the data processing unit.
Further, a processor and memory on the data processing unit is used to store baseline data for the normal breathing pattern and compare and analyze it with historical data.
Further, the alarm device comprises a buzzer, an LED lamp and a vibration sheet, wherein the LED lamp is arranged on the upper surface of the data processing unit, and the buzzer and the vibration sheet are arranged inside the LED lamp.
Further, the communication module includes a Wi-Fi transceiver, a bluetooth transceiver, and a mobile network transceiver for communicating with a cloud server or a smart phone application.
Another object of the present invention is to provide a method for implementing the pediatric asthma screening and monitoring apparatus, the method for using the pediatric asthma screening and monitoring apparatus comprising the steps of:
s101, a child wears a respiration sensor on a hand, the respiration sensor continuously monitors the respiration condition of the child, and information is remotely sent to a data processing unit;
s102, the data processing unit analyzes the breathing mode, and if abnormality is detected, the data processing unit controls the alarm device to send out an alarm signal;
and S103, the data processing unit transmits the data to the cloud server in real time through the communication module, and a doctor can check the data through the application program and make treatment suggestions.
It is another object of the present invention to provide a sensor system for monitoring respiration, the system comprising:
the ultrasonic sensing module is designed for:
transmitting an ultrasonic signal to the chest of the user;
receiving the reflected ultrasonic signal;
acquiring motion information of the chest by calculating a time difference or a frequency change between the transmitted and received ultrasonic signals to evaluate a respiratory state;
an infrared sensing module designed to:
transmitting infrared rays to the chest of the user;
detecting reflected infrared signals and acquiring body surface temperature change and chest up-down movement information;
a data processing unit designed to:
synchronously receiving data from the ultrasonic sensing module and the infrared sensing module;
running at least one data fusion algorithm to fuse data from the ultrasonic sensing module and the infrared sensing module to obtain more accurate breathing information;
based on the fused data, respiratory-related parameters including, but not limited to, respiration rate, respiration depth are calculated and output;
an output module designed to:
displaying the calculated breathing parameters in real time;
storing the breathing parameters and the original data locally or at the cloud;
wherein the data processing unit is further configured to perform detection of an abnormal respiratory event and to activate an alarm mechanism to send an alarm to a user and/or medical personnel when an abnormal respiratory event is detected.
In combination with the technical scheme and the technical problems to be solved, the technical scheme to be protected has the following advantages and positive effects:
the invention provides a screening and monitoring device for children asthma, which combines a respiration sensor, a data processing unit, an alarm device and a communication module, realizes the functions of real-time monitoring, alarm and remote monitoring, solves the problems of inconvenience and insufficient timeliness of the existing children asthma detection and screening device, and is expected to play an important role in early intervention and treatment of children asthma.
Secondly, the technical scheme is regarded as a whole or from the perspective of products, and the technical scheme to be protected has the following technical effects and advantages:
and (3) real-time monitoring: the device can monitor the breathing condition of children in real time and discover abnormality early.
Alarm function: the device timely informs the guardian through the alarm device, so that the child is ensured to be timely concerned and intervened.
Remote monitoring: the communication module enables a guardian and a doctor to monitor the conditions of children remotely, and provides a more convenient management mode.
Third, the overall design of pediatric asthma screening and monitoring apparatus enables real-time monitoring of pediatric breathing patterns and automatic detection of asthma symptoms, which is a significant technological advance, as traditional asthma detection methods generally require the guidance of a physician and cannot be monitored in real-time.
The respiratory sensor is a bracelet-type design, which is a significant improvement for child users because it is more convenient, comfortable, and does not interfere with daily activities. Furthermore, analysis of the data using machine learning algorithms can more accurately detect possible asthma symptoms, which is not possible with conventional statistical methods.
The respiration sensor adopts ultrasonic and infrared technology to collect data, which is a newer technology, can more accurately detect and record the respiration mode of children, does not need physical contact, and is more comfortable and convenient.
The processor and memory design within the data processing unit allows the device to process and store data locally, which increases the speed and efficiency of data processing, while also increasing the security of the data, since it is not necessary to send unprocessed data to a remote server.
The data processing unit stores reference data as well as historical data for the normal breathing pattern, which enables the device to identify anomalies from the individual's historical data, rather than relying solely on a common standard. This is an important concept because breathing patterns may vary from person to person and analysis of the historical data of individuals may more accurately identify asthma symptoms.
Drawings
Fig. 1 is a block diagram of a pediatric asthma screening and monitoring apparatus provided by an embodiment of the invention.
Fig. 2 is a flowchart of a method for using a childhood asthma screening and monitoring device according to an embodiment of the present invention.
In the figure: 1. a respiration sensor; 2. a data processing unit; 3. an alarm device; 4. a communication module; a processor 21; a memory 22.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, the childhood asthma screening and monitoring device provided by the embodiment of the invention includes: a respiration sensor 1, a data processing unit 2, an alarm device 3 and a communication module 4; wherein the respiration sensor 1 is remotely and wirelessly connected with the data processing unit 2, and the data processing unit 2 is provided with an alarm device 3 and a communication module 4.
The respiration sensor 1 is a bracelet type respiration sensor with high precision, the respiration frequency and depth of children can be monitored in real time in a non-contact mode, and the respiration sensor adopts technologies such as ultrasonic waves and infrared rays, so that accurate data acquisition is ensured. The specific method for realizing the respiration sensor combining the ultrasonic technology and the infrared technology comprises the following steps:
1. design and implementation of ultrasonic sensor
Transmitting ultrasonic signals: ultrasonic waves of a specific frequency are emitted by an ultrasonic transmitter.
Receiving a reflected signal: an ultrasonic receiver is used to capture ultrasonic reflected signals caused by respiratory motion (e.g., up and down movements of the chest).
Processing and analyzing the signals: the depth and frequency information of the breath is obtained by analyzing the time difference or frequency change between the transmitted and received signals and calculating the displacement of the chest.
2. Design and implementation of infrared sensor
Emitting infrared rays: infrared emitters are used to emit infrared light toward a target area.
Detecting reflected infrared rays: the reflected infrared signals are captured by an infrared receiver or a camera, so that the body surface temperature change and the up-and-down movement information of the chest are obtained.
Data analysis: by analyzing the intensity and distribution of infrared rays, respiration-related body surface temperature changes and chest movement information are obtained.
3. Data fusion and processing
Synchronous data acquisition: it is ensured that the data acquisition of the two sensors (ultrasound and infrared) is synchronized for further data fusion and analysis.
Data fusion algorithm: data from both sensors is integrated together using one or more data fusion algorithms (e.g., a Kalman filter, neural network, etc.) to obtain more accurate respiration information.
Calculating respiratory parameters: the fused data is analyzed through an algorithm, and related respiratory parameters (such as respiratory rate, respiratory depth and the like) are calculated.
4. Displaying and/or storing results
And (3) data display: the calculated breathing parameters are displayed in real time, and visual feedback is provided for a user or doctor.
And (3) data storage: the breathing parameters and raw data are stored locally or in the cloud for further analysis or review.
5. Further development of
Abnormality detection and alarm: the automatic detection and alarm functions of abnormal breathing are realized, and the health of the user is guaranteed.
Remote monitoring: the remote monitoring function is developed so that doctors or families can remotely pay attention to the breathing condition of users through the internet.
By combining the ultrasonic and infrared technologies, the breathing action and the body surface temperature change are accurately acquired, and meanwhile, the error can be effectively reduced and the accuracy and the stability of the breathing detection are improved through the data fusion algorithm processing analysis. Meanwhile, the application of multiple technologies can mutually verify and verify to a certain extent, so that the reliability of the respiratory monitoring system is further enhanced.
The data processing unit 2 is responsible for receiving and processing the data returned by the sensor in real time and comprises a processor 21 and a memory 22, wherein the processor 21 and the memory 22 are connected and are arranged on the data processing unit 2, and the data processing unit is used for storing reference data of a normal breathing mode and historical data for comparison and analysis.
The working principle of the data processing unit is as follows: the data processing unit is connected to the respiration sensor via a wireless communication protocol, such as bluetooth, wi-Fi, or other proprietary wireless protocol. When the respiration data of the child is captured by the respiration sensor, these data will be transmitted wirelessly to the data processing unit. Once the data is received, the data processing unit first performs preprocessing including cleaning, normalization, denoising, etc., for further analysis. The processed data is input into a preset algorithm for analysis. This includes statistical analysis, such as calculating the average frequency and depth of breathing, or more complex machine learning models, such as deep learning networks, for identifying complex breathing patterns. These patterns include rapid changes in respiratory rate, abnormal inhalation and exhalation ratios, or other patterns indicative of asthma symptoms. Based on the analysis results, the data processing unit will determine whether an asthma symptom is present. If an asthma symptom is identified, the data processing unit will activate the connected alarm device, emit a sound, vibration or visual signal, alerting the user or healthcare provider. The data processing unit is also responsible for storing the respiration data and the analysis results, which can be transmitted wirelessly to a remote server or healthcare provider via a built-in communication module for further analysis or for appropriate medical intervention. In general, the data processing unit implements the overall process from receiving and preprocessing data, analyzing the data, interpreting the results and raising an alarm, and finally storing and transmitting the data.
The alarm device 3 is used for detecting an abnormal breathing mode and giving an alarm and comprises a buzzer, an LED lamp and a vibration sheet; the LED lamp is arranged on the upper surface of the data processing unit, and the buzzer and the vibration sheet are arranged inside the LED lamp. When the data processing unit 2 detects a breathing pattern that does not correspond to the reference data, the alarm device 3 triggers an alarm signal in the form of sound, light and vibration, which draws the attention of the guardian.
The communication module 4, including a Wi-Fi transceiver, a bluetooth transceiver and a mobile network transceiver, is configured to communicate with a cloud server or a smart phone application program, so that a doctor, a parent or a guardian can remotely monitor the respiratory status of a child, view historical data and receive alarm information, and as shown in fig. 2, the usage method of the device for screening and monitoring asthma of a child includes the following steps:
s101, the breath sensor 1 is worn on the hand by the child, the breath sensor 1 continuously monitors the breath condition of the child, and information is remotely sent to the data processing unit 2;
s102, the data processing unit 2 analyzes the breathing mode, and if abnormality is detected, the data processing unit 2 controls the alarm device 3 to send out an alarm signal;
s103, the data processing unit 2 transmits the data to the cloud server in real time through the communication module 4, and the doctor can view the data through the application program and make treatment advice.
The working principle of the childhood asthma screening and monitoring device provided by the invention is as follows:
1. respiration sensor: the heart of this device is a respiration sensor which detects and records the breathing pattern of the child. This includes the frequency, depth of inspiration and expiration, and other parameters indicative of respiratory problems. For example, asthmatics may have periodic wheezing or shortness of breath. The sensor is a wearable device, such as a chest-mounted belt, or a device that the child can breathe directly.
2. A data processing unit: the respiration sensor wirelessly transmits the collected data to the data processing unit. This unit analyzes the data to determine if symptoms of asthma are present. This includes specific breathing patterns such as irregular inhalation/exhalation ratios, or apneas. The data processing unit uses a machine learning algorithm or other type of data analysis method to identify these patterns.
3. An alarm device: if the data processing unit detects symptoms of asthma, it activates the alarm device. This includes an audio or visual alert, or a notification sent to the healthcare provider or parent cell phone.
4. And a communication module: the data processing unit further comprises a communication module which can send the breathing data and the analysis results to a remote server or a healthcare provider. This is accomplished through Wi-Fi, bluetooth, or other wireless communication technology.
In general, this device uses data processing techniques to identify symptoms of asthma by monitoring the breathing patterns of children, and then alerts or provides information to the relevant personnel via an alert device and communication module. The purpose of this system is to identify and manage childhood asthma early, thereby preventing severe asthma attacks and improving the quality of life of the patient.
The following are two specific embodiments and implementations:
example 1
1. The asthma screening and monitoring device for children is characterized in that the respiration sensor is of a wearable bracelet type design and can be matched with convenience of daily activities of children. The inside of the bracelet contains an ultrasonic sensor which can accurately detect and record the breathing pattern of the child.
2. The data processing unit is a microcomputer which internally comprises an ARM processor and a flash memory to run a data analysis algorithm and store respiratory data and analysis results. It uses a deep learning algorithm that has been trained to identify possible asthma symptoms such as irregular inhalation/exhalation ratios or apneas.
3. The data processing unit also comprises a small buzzer as an alarm device, and the buzzer can give an audible alarm when possible asthma symptoms are detected.
4. A Wi-Fi module on the data processing unit enables it to wirelessly transmit the breathing data and analysis results to a remote server or healthcare provider on the home network.
Example two
1. The respiratory sensor is a small infrared sensor, and can detect and record the respiratory mode of children by detecting the temperature change of the nasal cavity or the oral cavity.
2. The data processing unit is an embedded system, which internally contains a microprocessor and an EEPROM memory to run data analysis algorithms and store breathing data and analysis results. It uses a Support Vector Machine (SVM) algorithm that has been trained to identify possible asthma symptoms such as irregular inhalation/exhalation ratios or apneas.
3. The data processing unit also comprises an LED lamp as an alarm device, and when possible asthma symptoms are detected, the LED lamp flashes to give out a visual alarm.
4. The cellular network module on the data processing unit enables it to wirelessly transmit the breathing data and analysis results to a remote server or healthcare provider, maintaining a connection even in the event that the home network is not available.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention will be apparent to those skilled in the art within the scope of the present invention.
Claims (9)
1. A pediatric asthma screening and monitoring device, the pediatric asthma screening and monitoring device comprising: the device comprises a respiration sensor, a data processing unit, an alarm device and a communication module; the respiration sensor is in remote wireless connection with the data processing unit, and the data processing unit is provided with an alarm device and a communication module;
a respiration sensor for detecting and recording a respiration pattern of the child;
a data processing unit, which is remotely and wirelessly connected to the respiration sensor, and analyzes the received respiration data to determine whether asthma symptoms exist;
an alarm device, which is arranged on the data processing unit and used for giving an alarm when the data processing unit detects asthma symptoms;
and the communication module is arranged on the data processing unit and used for sending the breathing data and the analysis result to a remote server or a medical care provider.
2. The pediatric asthma screening and monitoring apparatus of claim 1, wherein the respiration sensor is a wristband, wearable on the wrist; the data processing unit uses machine learning algorithms or other data analysis methods to identify asthma symptoms, including irregular inhalation/exhalation ratios or apneas.
3. The pediatric asthma screening and monitoring apparatus of claim 1, wherein the respiration sensor collects data using ultrasonic and infrared techniques to ensure accuracy of data collection.
4. The pediatric asthma screening and monitoring apparatus of claim 1, wherein the data processing unit comprises a processor and a memory, the processor and the memory being coupled to the data processing unit.
5. The pediatric asthma screening and monitoring apparatus of claim 1, wherein the processor and memory on the data processing unit are configured to store baseline data for normal breathing patterns and to compare and analyze the baseline data with historical data; the data processing unit is remotely and wirelessly connected to the respiration sensor for receiving and preprocessing the respiration data from the respiration sensor, analyzing the processed data by a preset algorithm to determine whether asthma symptoms exist, activating an alarm device when the asthma symptoms are recognized, simultaneously storing the respiration data and the analysis results, and wirelessly transmitting the information to a remote server or a health care provider by a built-in communication module.
6. The pediatric asthma screening and monitoring apparatus of claim 1, wherein the alarm means comprises a buzzer, an LED light and a vibrating plate, the LED light being disposed on the upper surface of the data processing unit, the buzzer and the vibrating plate being disposed inside the LED light.
7. The pediatric asthma screening and monitoring apparatus of claim 1, wherein the communication module comprises a Wi-Fi transceiver, a bluetooth transceiver, and a mobile network transceiver for communicating with a cloud server or a smartphone application.
8. A sensor system for monitoring respiration, the system comprising:
the ultrasonic sensing module is designed for: transmitting an ultrasonic signal to the chest of the user; receiving the reflected ultrasonic signal; acquiring motion information of the chest by calculating a time difference or a frequency change between the transmitted and received ultrasonic signals to evaluate a respiratory state;
an infrared sensing module designed to: transmitting infrared rays to the chest of the user; detecting reflected infrared signals and acquiring body surface temperature change and chest up-down movement information;
a data processing unit designed to: synchronously receiving data from the ultrasonic sensing module and the infrared sensing module; running at least one data fusion algorithm to fuse data from the ultrasonic sensing module and the infrared sensing module to obtain more accurate breathing information; based on the fused data, respiratory-related parameters including, but not limited to, respiration rate, respiration depth are calculated and output;
an output module designed to: displaying the calculated breathing parameters in real time; storing the breathing parameters and the original data locally or at the cloud;
wherein the data processing unit is further configured to perform detection of an abnormal respiratory event and to activate an alarm mechanism to send an alarm to a user and/or medical personnel when an abnormal respiratory event is detected.
9. A method of using a pediatric asthma screening and monitoring apparatus according to any one of claims 1 to 7, wherein the pediatric asthma screening and monitoring apparatus comprises the steps of:
s101, a child wears a respiration sensor on a hand, the respiration sensor continuously monitors the respiration condition of the child, and information is remotely sent to a data processing unit;
s102, the data processing unit analyzes the breathing mode, and if abnormality is detected, the data processing unit controls the alarm device to send out an alarm signal;
and S103, the data processing unit transmits the data to the cloud server in real time through the communication module, and a doctor can check the data through the application program and make treatment suggestions.
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