Early warning device for monitoring acute attack of asthma patient through wearable wireless stethoscope

Abstract

The invention provides a wearable wireless stethoscope early warning device for monitoring acute attack of an asthma patient, the wearable wireless stethoscope early warning device comprises a vest, a first binding belt and a second binding belt, the first binding belt and the second binding belt are arranged on two sides of the vest, two adjusting belts are arranged above the vest, and the two adjusting belts are connected with the vest; a miniature sound signal sensor, a miniature lung sound discriminator and a signal microprocessor are arranged in the vest, the miniature sound signal sensor is used for collecting breathing sound signals, and the miniature lung sound discriminator is used for recognizing dry rale, wet rale and normal breathing sound. The breathing sound of an asthma patient, especially a child patient, is monitored in real time, abnormal breathing sound characteristics are accurately recognized, timely early warning of acute attack is achieved, by means of wireless transmission and a remote diagnosis technology, a doctor can remotely obtain illness state information of the patient, timely diagnosis and treatment guidance is provided for the patient, and the patient experience is improved. The risk caused by acute attack of asthma is reduced, and the health management level of patients is improved.

Description

Technical Field

[0001] This invention relates to the field of medical monitoring equipment technology, and in particular to a wearable wireless stethoscope device for monitoring and early warning of acute attacks in asthma patients. Background Technology

[0002] Asthma is a common chronic respiratory disease characterized by its sudden onset and recurrence, especially in children. If an acute asthma attack is not detected and treated promptly, it can lead to serious health risks and even death. Traditional asthma monitoring methods rely primarily on the subjective feelings of patients or their families and irregular hospital checkups, which suffers from problems such as untimely monitoring and inability to grasp changes in the condition in real time.

[0003] Currently, some respiratory monitoring devices on the market are either bulky and inconvenient to carry, failing to meet the needs of patients' daily activities; or they have limited functionality, only able to detect data such as baseline respiratory rate, making it difficult to accurately identify the unique respiratory sound characteristics (such as dry rales and wet rales) during an asthma attack. Although some devices have remote transmission capabilities, they lack intelligent analysis and diagnostic systems, preventing doctors from obtaining timely and effective information for remote diagnosis and intervention, resulting in patients not receiving timely and effective treatment when their condition suddenly worsens.

[0004] Therefore, there is an urgent need for an asthma monitoring device that can provide real-time monitoring, intelligent early warning, and remote medical care. Summary of the Invention

[0005] To overcome existing problems, this application provides a wearable wireless stethoscope for monitoring and early warning of acute asthma attacks. By monitoring the breathing sounds of asthma patients, especially children, in real time, it accurately identifies abnormal breathing sound characteristics, achieves timely early warning of acute attacks, and, with the help of wireless transmission and remote diagnostic technology, enables doctors to remotely obtain patient condition information, provide timely diagnosis and treatment guidance, reduce the risk of acute asthma attacks, and improve the patient's health management level.

[0006] The technical solution adopted by the embodiments of this application to solve its technical problem is: A wearable wireless stethoscope monitoring and early warning device for acute attacks of asthma patients includes a vest, and a first strap and a second strap disposed on both sides of the vest. The vest is the main wearable component. The first strap and the second strap are respectively disposed on the two sides of the vest to fix the vest to the patient's body and ensure the stability of the device during wear. Two adjustment straps are provided on the top of the vest and are connected to the vest. The vest contains a miniature sound signal sensor, a miniature lung sound detector, and a signal microprocessor. The miniature sound signal sensor is used to collect breath sound signals, the miniature lung sound detector is used to identify dry rales, wet rales, and normal breath sounds, and the signal microprocessor is used to perform noise reduction processing on the signal and compare the processed signal with pre-stored normal breath sounds. When an abnormal breath sound is detected, an alert is issued. There are two miniature sound signal sensors, which are located inside the vest close to the wearer's chest to accurately collect breath sound signals. The miniature sound signal sensors are built into the vest and located close to the patient's chest, enabling real-time collection of the patient's breath sound signals. The miniature lung sound detector is connected to the miniature sound signal sensor and has the function of identifying dry rales, wet rales, and normal breath sounds, and can perform preliminary analysis and classification of the collected breath sound signals.

[0007] Preferably, the adjustment strap includes a first connecting strap, a second connecting strap, and an adjustment buckle. The adjustment buckle is used to adjust the relative length of the first connecting strap and the second connecting strap to accommodate wearers of different body types. The relative length of the first connecting strap and the second connecting strap can be adjusted by the adjustment buckle to meet the wearing needs of patients of different body types and improve wearing comfort.

[0008] Preferably, the vest has a display screen on the front for displaying sound waveforms and battery information. The display screen has wireless connectivity, and the monitored signals can automatically upload the collected breath sound signals, preliminary diagnostic results, and other information to the client via a wireless network. Patients or their families can view the recording playback and automatic diagnostic information through the client. Doctors can access the client through a web application module, combine the patient's previously entered medical records with the collected breath sounds, perform remote diagnosis, and send diagnostic opinions and remote guidance on medication and other precautions to the patient through the client. The signal microprocessor uploads the collected signals and preliminary diagnostic results to the client via a wireless network. The signal microprocessor is connected to a miniature lung sound detector, which has the function of noise reduction processing of the signal. By removing interference factors such as environmental noise, the quality of the breath sound signal is improved. The signal microprocessor compares and analyzes the processed signal with pre-stored normal breath sounds. When abnormal breath sounds are detected, the alarm is controlled to vibrate or sound to remind the patient and their family. The signal microprocessor analyzes the abnormal breath sound signals according to preset algorithms and rules and automatically provides preliminary diagnostic results.

[0009] Preferably, the vest has a power switch on one side of the display screen. The power switch is used to control the opening and closing of the device, and the operation is simple and convenient.

[0010] Preferably, the vest has a built-in lithium battery located at the position corresponding to the display screen, supporting direct charging and rechargeable use. The vest is equipped with an alarm above the power switch to alert for abnormal sounds. The alarm provides both vibration and sound alerts and can display the sound waveform of breathing sounds in real time, allowing patients and their families to intuitively understand the breathing situation. It can also display the lithium battery's power level information to remind patients to charge it in time.

[0011] The advantages of the embodiments of this application are: 1. Through miniature sound signal sensors and miniature lung sound discriminators, the respiratory sound characteristics of patients can be collected and identified in real time and accurately, so as to detect early signs of acute asthma attacks in a timely manner and buy valuable time for treatment. The signal microprocessor, combined with noise reduction and comparative analysis technology, realizes automatic early warning. When abnormal respiratory sounds are detected, the alarm will issue a prompt in time, which effectively improves the awareness of patients and their families about the condition.

[0012] 2. Utilizing Wi-Fi connectivity and remote diagnostic technology, doctors can remotely access patients' medical information, conduct timely and accurate diagnoses, and provide targeted treatment guidance. This breaks down geographical limitations, improving the accessibility and timeliness of medical services. The adjustable wearable design allows the device to adapt to the needs of patients of different body types, ensuring comfortable and stable wear. A built-in lithium battery and multiple charging modes, along with an intuitive display and simple operation, enhance the device's ease of use and user experience.

[0013] 3. The device can not only monitor and issue early warnings, but also store patients' respiratory sound data and diagnostic information, providing rich data support for doctors to track patients' conditions over the long term and develop personalized treatment plans, which helps to achieve comprehensive health management for asthma patients. Attached Figure Description

[0014] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0015] Figure 1 This is a front view schematic diagram of the wearable wireless stethoscope monitoring and early warning device for acute asthma attacks of the present invention. Figure 2 This is a schematic diagram of the back structure of the wearable wireless stethoscope monitoring and early warning device for acute asthma attacks of the present invention. Figure 3 This is a schematic diagram of the overall structure of the adjustment band in the wearable wireless stethoscope monitoring and early warning device for acute attacks of asthma patients according to the present invention.

[0016] Explanation of key figure labels: 1. First strap; 2. Display screen; 3. Power switch; 4. Adjustment strap; 41. First connecting strap; 42. Second connecting strap; 43. Adjustment buckle; 5. Alarm; 6. Second strap; 7. Vest; 8. Miniature sound signal sensor; 9. Miniature lung sound detector; 10. Signal microprocessor. Detailed Implementation

[0017] 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 a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention. In addition, for the sake of convenience, the terms "upper," "lower," "left," and "right" are equivalent to the upper, lower, left, and right directions of the accompanying drawings themselves, and the terms "first," "second," etc., are used for descriptive purposes and have no other special meaning.

[0018] This application provides a wearable wireless stethoscope for monitoring and early warning of acute asthma attacks, addressing problems in existing technologies. Through a miniature sound signal sensor and a miniature lung sound discriminator, it can accurately collect and identify the patient's respiratory sound characteristics in real time, promptly detecting early signs of acute asthma attacks and gaining valuable time for treatment. A signal microprocessor, combined with noise reduction and comparative analysis technology, enables automatic early warning; when abnormal respiratory sounds are detected, an alarm is triggered, effectively increasing the patient's and family's awareness of the condition. With the help of Wi-Fi connectivity and remote diagnostic technology, doctors can remotely obtain the patient's condition information, conduct timely and accurate diagnoses, and provide targeted treatment guidance, breaking geographical limitations and improving the accessibility and timeliness of medical services. The adjustable wearable structure design allows the device to adapt to the needs of patients of different body types, ensuring comfortable and stable wear. A built-in lithium battery and multiple charging modes, along with an intuitive display and simple operation, improve the device's ease of use and user experience. The device not only monitors and issues warnings but also stores the patient's respiratory sound data and diagnostic information, providing rich data support for doctors to track patient conditions long-term and develop personalized treatment plans, contributing to comprehensive health management for asthma patients.

[0019] The technical solution in this application is to solve the above problems, and the overall approach is as follows: Example 1 This embodiment provides the specific structure of a wearable wireless stethoscope device for monitoring and early warning of acute asthma attacks in patients, such as... Figure 1-3As shown, the device includes a vest 7 and a first strap 1 and a second strap 6 disposed on both sides of the vest 7. The vest 7 is the main wearable component. The first strap 1 and the second strap 6 are respectively disposed on the two sides of the vest 7 to fix the vest 7 to the patient's body and ensure the stability of the device during wear. Two adjustment straps 4 are provided on the top of the vest 7 and are connected to the vest 7. The vest 7 contains a miniature sound signal sensor 8, a miniature lung sound discriminator 9, and a signal microprocessor 10. The miniature sound signal sensor 8 is used to collect breath sound signals, the miniature lung sound discriminator 9 is used to identify dry rales, wet rales, and normal breath sounds, and the signal microprocessor 10 is used to perform noise reduction processing on the signal and compare the processed signal with pre-stored normal breath sounds. When an abnormal breath sound is detected, an alert is issued. There are two miniature sound signal sensors 8, which are set inside the vest 7 close to the wearer's chest to accurately collect breath sound signals. The miniature sound signal sensor 8 is built into the vest and close to the patient's chest, and can collect the patient's breath sound signals in real time. The miniature lung sound discriminator 9 is connected to the miniature sound signal sensor 8 and has the function of identifying dry rales, wet rales, and normal breath sounds. It can perform preliminary analysis and classification of the collected breath sound signals.

[0020] The adjustment strap 4 includes a first connecting strap 41, a second connecting strap 42, and an adjustment buckle 43. The adjustment buckle 43 is used to adjust the relative length of the first connecting strap 41 and the second connecting strap 42 to fit wearers of different body types. The relative length of the first connecting strap 41 and the second connecting strap 42 can be adjusted through the adjustment buckle 43 to meet the wearing needs of patients of different body types and improve wearing comfort.

[0021] The vest 7 has a display screen 2 on the front for displaying sound waveforms and battery information. The display screen 2 has wireless connectivity, and the monitored signals can automatically upload the collected breath sound signals, preliminary diagnostic results, and other information to the client via a wireless network. Patients or their families can view the recording playback and automatic diagnostic information through the client. Doctors can access the client through the WEB application module, combine the patient's previously entered medical records with the collected breath sounds, conduct remote diagnosis, and send diagnostic opinions and remote guidance on medication and other precautions to the patient through the client. The signal microprocessor 10 uploads the collected signals and preliminary diagnostic results to the client via a wireless network. The signal microprocessor 10 is connected to the miniature lung sound detector 9, which has the function of noise reduction processing of the signal. By removing environmental noise and other interference factors, the quality of the breath sound signal is improved. The signal microprocessor 10 compares and analyzes the processed signal with the pre-stored normal breath sounds. When abnormal breath sounds are detected, the alarm 5 is controlled to emit vibration or sound prompts to remind the patient and their family. The signal microprocessor 10 analyzes the abnormal breath sound signal according to preset algorithms and rules and automatically provides a preliminary diagnostic result.

[0022] The vest 7 has a power switch 3 on one side of the display screen 2. The power switch 3 is used to control the opening and closing of the device. The operation is simple and convenient.

[0023] The vest 7 has a built-in lithium battery located at the position corresponding to the display screen 2, which supports direct charging and rechargeable use. The vest 7 has an alarm 5 above the power switch 3, which is used to alert for abnormal sounds. The alarm 5 provides both vibration and sound alerts and can display the sound waveform of breathing sounds in real time, making it easy for patients and their families to intuitively understand the breathing situation. It can also display the lithium battery power information to remind them to charge it in time.

[0024] By adopting the above technical solution: Adjust the first connecting strap 41 and the second connecting strap 42 to the appropriate length by adjusting the buckle 43 of the adjusting strap 4, put the vest 7 on the child, ensure that the miniature sound signal sensor 8 is located on the left side of the child's chest, turn on the device power switch 3, and after confirming that the battery is sufficient through the display screen 2, use the mobile client to scan the device QR code to complete the pairing, enter the child's age, weight, and history of asthma attacks in the client, and set the alarm threshold to trigger the alarm when three consecutive dry rales are detected.

[0025] The device's miniature sound signal sensor 8 continuously collects respiratory sounds, which are then identified by the miniature lung sound discriminator 9 and analyzed by the signal microprocessor 10. When the child's asthma is induced by exercise, and the signal microprocessor 10 detects continuous dry rales, it immediately controls the alarm 5 to emit high-frequency vibrations and a buzzer. At the same time, the display screen 2 flashes a red warning light. After hearing the alarm, the parents can view the real-time sound waveform and preliminary diagnosis results through the client, and contact the attending physician through the client's one-click call function.

[0026] Doctors receive recordings of the child's breath sounds, waveform data, and preliminary diagnostic information through a web application module. Based on the child's medical records, they determine that the child is experiencing a mild asthma attack. Doctors then send guidance messages through the client until the symptoms subside.

[0027] Example 2 This embodiment provides the specific structure of a wearable wireless stethoscope device for monitoring and early warning of acute asthma attacks in patients, such as... Figure 1-3 As shown, the device includes a vest 7 and a first strap 1 and a second strap 6 disposed on both sides of the vest 7. The vest 7 is the main wearable component. The first strap 1 and the second strap 6 are respectively disposed on the two sides of the vest 7 to fix the vest 7 to the patient's body and ensure the stability of the device during wear. Two adjustment straps 4 are provided on the top of the vest 7 and are connected to the vest 7. The vest 7 contains a miniature sound signal sensor 8, a miniature lung sound discriminator 9, and a signal microprocessor 10. The miniature sound signal sensor 8 is used to collect breath sound signals, the miniature lung sound discriminator 9 is used to identify dry rales, wet rales, and normal breath sounds, and the signal microprocessor 10 is used to perform noise reduction processing on the signal and compare the processed signal with pre-stored normal breath sounds. When an abnormal breath sound is detected, an alert is issued. There are two miniature sound signal sensors 8, which are set inside the vest 7 close to the wearer's chest to accurately collect breath sound signals. The miniature sound signal sensor 8 is built into the vest and close to the patient's chest, and can collect the patient's breath sound signals in real time. The miniature lung sound discriminator 9 is connected to the miniature sound signal sensor 8 and has the function of identifying dry rales, wet rales, and normal breath sounds. It can perform preliminary analysis and classification of the collected breath sound signals.

[0028] The adjustment strap 4 includes a first connecting strap 41, a second connecting strap 42, and an adjustment buckle 43. The adjustment buckle 43 is used to adjust the relative length of the first connecting strap 41 and the second connecting strap 42 to fit wearers of different body types. The relative length of the first connecting strap 41 and the second connecting strap 42 can be adjusted through the adjustment buckle 43 to meet the wearing needs of patients of different body types and improve wearing comfort.

[0029] The vest 7 has a display screen 2 on the front for displaying sound waveforms and battery information. The display screen 2 has wireless connectivity, and the monitored signals can automatically upload the collected breath sound signals, preliminary diagnostic results, and other information to the client via a wireless network. Patients or their families can view the recording playback and automatic diagnostic information through the client. Doctors can access the client through the WEB application module, combine the patient's previously entered medical records with the collected breath sounds, conduct remote diagnosis, and send diagnostic opinions and remote guidance on medication and other precautions to the patient through the client. The signal microprocessor 10 uploads the collected signals and preliminary diagnostic results to the client via a wireless network. The signal microprocessor 10 is connected to the miniature lung sound detector 9, which has the function of noise reduction processing of the signal. By removing environmental noise and other interference factors, the quality of the breath sound signal is improved. The signal microprocessor 10 compares and analyzes the processed signal with the pre-stored normal breath sounds. When abnormal breath sounds are detected, the alarm 5 is controlled to emit vibration or sound prompts to remind the patient and their family. The signal microprocessor 10 analyzes the abnormal breath sound signal according to preset algorithms and rules and automatically provides a preliminary diagnostic result.

[0030] The vest 7 has a power switch 3 on one side of the display screen 2. The power switch 3 is used to control the opening and closing of the device. The operation is simple and convenient.

[0031] The vest 7 has a built-in lithium battery located at the position corresponding to the display screen 2, which supports direct charging and rechargeable use. The vest 7 has an alarm 5 above the power switch 3, which is used to alert for abnormal sounds. The alarm 5 provides both vibration and sound alerts and can display the sound waveform of breathing sounds in real time, making it easy for patients and their families to intuitively understand the breathing situation. It can also display the lithium battery power information to remind them to charge it in time.

[0032] By adopting the above technical solution: Before going to school, students put on the device. Parents temporarily authorize the device monitoring permissions to the school doctor through the client. The school doctor can log in to the WEB application module on the computer in the school health center to view the breathing sound monitoring data of the authorized students in real time. The device is set to low battery automatic reminder mode. When the lithium battery power is lower than 20%, the display screen 2 shows a charging icon and sends a power warning message to the parents and school doctor's client.

[0033] During a physical education class, a student experienced an acute asthma attack due to strenuous exercise. The device detected persistent wet rales and triggered an alarm. The school doctor immediately viewed the real-time data through the client and contacted the parents. At the same time, the doctor remotely accessed the system and determined that the attack was moderate based on the breath sound waveform. The doctor instructed the school doctor to assist the student in using a backup nebulizer and recommended that the parents take the student to the hospital for further treatment. The device continuously uploaded breath sound data during transportation, providing a basis for the hospital to formulate a treatment plan in advance.

[0034] After treatment, the doctor retrieves the student's respiratory sound recordings, waveform data, and alarm records throughout the entire episode via the client application. This data, combined with the medical records, is used to analyze the student's condition and optimize the personalized treatment plan. Parents can view historical data reports on the client application to understand the trend of the child's condition and to assist in adjusting daily care and preventive measures.

[0035] According to the patient's body shape, the length of the first connecting strap 41 and the second connecting strap 42 is adjusted by adjusting the buckle 43 of the adjusting strap 4, and the vest 7 is worn on the patient to ensure that the miniature sound signal sensor 8 inside the vest 7 is accurately fitted to the patient's chest position so that the sensor can effectively collect respiratory sound signals.

[0036] Press the power button 3 to start the device, check the lithium battery level on the display screen 2, and charge it if the battery is low. When the device is used for the first time or when the patient is changed, the patient's basic information and related parameters, such as age, gender, and medical history, can be set through the client so that the signal microprocessor 10 can perform more accurate analysis and diagnosis.

[0037] After the device is started, the miniature sound signal sensor 8 begins to collect the patient's breath sound signals in real time and transmits the signals to the miniature lung sound detector 9 for preliminary identification and classification. The signals are then transmitted to the signal microprocessor 10, which performs noise reduction processing on the signals and compares them with pre-stored normal breath sounds. When abnormal breath sounds, such as dry rales or wet rales, are detected, the alarm 5 is activated with vibration or sound, and an abnormality indicator is displayed on the screen 2 to alert the patient and their family. The miniature sound signal sensor 8 is located inside the vest 7 close to the wearer's chest; when the wearer breathes, the vibration of the chest... Movement causes vibrations in the surrounding air, which propagate in the form of sound waves. The miniature sound signal sensor 8 senses the changes in air pressure or mechanical vibrations caused by these sound waves through its sensitive element and converts them into corresponding electrical signals. After converting the sensed sound vibrations into electrical signals, the miniature sound signal sensor 8 performs preliminary processing and amplification on these electrical signals to enhance the signal strength and stability, facilitating subsequent transmission and processing. Then, the miniature sound signal sensor 8 transmits the collected and processed respiratory sound electrical signals to the connected miniature lung sound discriminator 9 for further analysis and classification of the respiratory sound signals.

[0038] The device connects wirelessly to a wireless network and automatically uploads the collected respiratory sound signals, preliminary diagnostic results, and other information to the client. Patients or their families can view the recording playback and automatic diagnostic information through the client at any time. Doctors can log in to the client through the WEB application module to obtain the patient's condition data, combine it with the previously entered medical records, conduct remote diagnosis, and provide feedback on the diagnosis and treatment suggestions to the patient and their family through the client, thus realizing remote medical guidance.

[0039] During daily use, patients should regularly check the battery information on display screen 2 and charge the device in a timely manner. Patients and their families should pay attention to the health tips and doctor's advice on the client and actively cooperate with treatment and health management. If the device malfunctions or has any abnormalities, they can report it to the device supplier or relevant technicians through the client for repair and handling.

[0040] Finally, it should be noted that the above embodiments are merely examples for clearly illustrating the present invention and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A wearable wireless stethoscope device for monitoring and early warning of acute asthma attacks in patients, characterized in that, Includes a vest (7), and a first tie (1) and a second tie (6) disposed on both sides of the vest (7). Two adjustment straps (4) are provided on the top of the vest (7), and the two adjustment straps (4) are connected to the vest (7). The vest (7) is equipped with a miniature sound signal sensor (8), a miniature lung sound discriminator (9), and a signal microprocessor (10). The miniature sound signal sensor (8) is used to collect respiratory sound signals. The miniature lung sound discriminator (9) is used to identify dry rales, wet rales, and normal respiratory sounds. The signal microprocessor (10) is used to perform noise reduction processing on the signal and compare the processed signal with the pre-stored normal respiratory sounds. When an abnormal respiratory sound is detected, a prompt is issued.

2. The wearable wireless stethoscope device for monitoring and early warning of acute asthma attacks according to claim 1, characterized in that, The adjustment strap (4) includes a first connecting strap (41), a second connecting strap (42), and an adjustment buckle (43). The adjustment buckle (43) is used to adjust the relative length of the first connecting strap (41) and the second connecting strap (42) to fit wearers of different body types.

3. The wearable wireless stethoscope device for monitoring and early warning of acute asthma attacks according to claim 1, characterized in that, The vest (7) has a display screen (2) on the front for displaying sound waveforms and power information.

4. The wearable wireless stethoscope monitoring and early warning device for acute asthma attacks according to claim 3, characterized in that, The vest (7) is provided with a power switch (3) on one side of the display screen (2), and the power switch (3) is used to control the opening and closing of the device.

5. A wearable wireless stethoscope for monitoring and early warning of acute asthma attacks according to claim 4, characterized in that, The vest (7) has a built-in lithium battery located at the corresponding position of the display screen (2), which supports direct charging and energy storage.

6. A wearable wireless stethoscope for monitoring and early warning of acute asthma attacks according to claim 5, characterized in that, The vest (7) is equipped with an alarm (5) located above the switch (3) for alerting abnormal sounds.

7. A wearable wireless stethoscope for monitoring and early warning of acute asthma attacks according to claim 6, characterized in that, The display screen (2) has a wireless connection function, and the signal microprocessor (10) uploads the collected signals and preliminary diagnostic results to the client via a wireless network.

8. A wearable wireless stethoscope for monitoring and early warning of acute asthma attacks according to claim 6, characterized in that, The alarm (5) provides both vibration and sound alerts.

9. A wearable wireless stethoscope for monitoring and early warning of acute asthma attacks according to claim 1, characterized in that, The signal microprocessor (10) analyzes the abnormal breathing sound signal according to the preset algorithm and rules and automatically gives a preliminary diagnosis result.

10. A wearable wireless stethoscope for monitoring and early warning of acute asthma attacks according to any one of claims 1-9, characterized in that, Two miniature sound signal sensors (8) are provided and are located inside the vest (7) close to the wearer's chest to accurately collect respiratory sound signals.

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