Acoustic detection device and system for shoulder joint sac adhesion manipulation release treatment

Abstract

The invention discloses an acoustic detection device and system for shoulder joint sac adhesion manipulation release treatment, and relates to the technical field of medical detection, the acoustic detection device comprises a microphone array unit, each microphone in the array is wrapped in a flexible shell, a plurality of flexible shells are connected with flexible bandages to form an annular array, and a micro-control unit, voltage analog signals input by the microphone array unit are converted into digital signals, and the digital signals are transmitted to the upper computer unit; and the upper computer unit is connected with the micro-control unit and is used for outputting a clinical symptom classification and recognition result corresponding to the specific sound signal and the precise position based on the shoulder joint and the peripheral tissue activity abnormal area of the shoulder joint. According to the method, whether the patient has abnormal tearing or not, the abnormal early warning information and the specific position of the abnormal early warning information can be conveniently, quickly and effectively fed back to a doctor under the non-invasive condition, additional injuries to the patient in the treatment process are reduced, and meanwhile the diagnosis and treatment pertinence and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the field of medical detection technology, and in particular to an acoustic detection device and system for manual release treatment of shoulder joint capsule adhesion. Background Art

[0002] Adhesion of the shoulder capsule, also known as frozen shoulder, is a common shoulder disease, and its incidence has been on the rise in recent years. As the disease progresses, it may manifest as chronic inflammation, fibrosis and adhesion of soft tissues such as the synovium, joint capsule, and ligaments around the shoulder joint, which in turn leads to severe limitation of shoulder joint mobility and eventually causes muscle atrophy around the shoulder joint. Manual release under anesthesia (MUA) restores joint mobility by tearing adhesion tissue. It has the advantages of short operation time, no trauma, and no complications. It has become an effective clinical method for treating the disease. Existing methods for detecting joint diseases mainly use arthroscopy, which is inserted into the joint for examination through minimally invasive surgery, or large equipment such as magnetic resonance imaging (MRI) for examination.

[0003] In clinical applications, the current treatment and examination methods for adhesive capsulitis of the shoulder joint have the following defects:

[0004] (1) During the MUA process, the patient is under anesthesia. Improper force by the doctor may lead to postoperative sequelae such as soft tissue injury, joint dislocation and fracture, especially for patients with severe joint inflammation. If this happens, the doctor cannot determine whether the patient's shoulder periarthritis tissue has abnormal tearing and what type of tear has occurred, nor can he confirm the specific direction of the injury source. It is difficult to provide timely feedback and adjust the operation during the operation, which is prone to additional injuries.

[0005] (2) Existing diagnostic methods can only be used before and after surgery. It is very inconvenient to detect problems that may occur during surgery, and there is a lack of real-time monitoring equipment to monitor accidents during surgery.

[0006] (3) Inspections using large equipment such as MRI have high requirements for equipment and environment and are expensive. The ionizing radiation present in the process also limits its application to daily monitoring. Arthroscopic surgery has high operating requirements and may also cause problems such as slow wound recovery and infection. Summary of the invention

[0007] The purpose of the present invention is to provide an acoustic detection device and system for manual release treatment of shoulder joint capsule adhesion, so as to solve the problems raised in the above-mentioned background technology.

[0008] To achieve the above-mentioned object, the present invention provides the following technical solution: an acoustic detection device for manual release treatment of shoulder capsule adhesion, comprising: a microphone array unit, a microcontroller unit, and a host computer unit;

[0009] The microphone array unit includes a plurality of acoustic sensors and a plurality of flexible shells for wrapping the acoustic sensors, and a flexible strap is connected between the plurality of flexible shells to form a ring array arranged on the circumferential surface of the patient's shoulder joint;

[0010] A data bus is connected between the acoustic sensor and the micro control unit, and each acoustic sensor detects acoustic data of a corresponding position and transmits the data to the micro control unit;

[0011] The microcontroller unit is used to receive the voltage analog signal collected by the microphone array unit, and perform post-processing to obtain a digital signal to convert it into acoustic data;

[0012] The host computer unit includes computer hardware and a host computer program, wherein the computer hardware is connected to the microcontroller unit and is used to receive acoustic data and perform feature extraction on the preprocessed signal;

[0013] The host computer program selects time domain features, frequency domain features, and time-frequency domain features, and obtains the patient's shoulder joint disease type and the specific location information of the muscle tear through classification model calculation and analysis.

[0014] In a further embodiment, the microphone array unit is composed of 2-500 acoustic sensors.

[0015] In a further embodiment, the microphone array unit is provided with an amplifying and filtering circuit, and the output end is connected to the micro control unit through a flexible wire.

[0016] In a further embodiment, a hydrogel adhesive layer is adhered to the surface of the microphone array unit.

[0017] In a further embodiment, the material of the flexible strap is a composite structure of at least one of stretchable textile fiber, rubber, polydimethylsiloxane and polylactic acid.

[0018] In a further embodiment, the flexible shell is a composite structure of at least one of rubber, polydimethylsiloxane and polylactic acid, and has a thickness of 5 mm-2 cm.

[0019] A system of acoustic detection devices for manipulation and release of shoulder capsule adhesions. According to the acoustic detection device for manipulation and release of shoulder capsule adhesions, when the host computer unit performs acoustic monitoring and evaluation of the corresponding area, the evaluation parameters are determined based on the time domain, frequency domain, and time-frequency domain characteristics.

[0020] In a further embodiment, the host computer unit inputs evaluation parameters and outputs classification warning evaluation results when performing abnormal situation warnings in the corresponding area;

[0021] In a further embodiment, the classified warning evaluation results include normal loosening sound signals, labral avulsion sound signals, fracture sound signals, and muscle tear sound signals.

[0022] In a further embodiment, after acquiring the acoustic information of each area, the host computer unit draws a thermal map of the entire array for each evaluation parameter, and accurately locates the lesion according to the different colors of specific areas on the thermal map.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] The present invention classifies and identifies the sound signals of shoulder joint and its surrounding tissue activities and even tears based on their different characteristics. The system can collect sufficiently clear and effective abnormal shoulder joint sounds, and can quickly and conveniently provide doctors with reliable reference information under non-invasive conditions, so as to facilitate doctors to judge whether there is abnormal tearing, what kind of abnormality may occur, and the location of the abnormality during surgery. It can be used for diagnosis and treatment, and in addition to being used in surgery, it can also be used for routine testing. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0026] Figure 2 is a schematic diagram of a microphone array unit of the present invention;

[0027] Figure 3 is a schematic diagram of a single microphone sensor of the present invention;

[0028] Figure 4 This is a comparison diagram of the noise reduction effect of the flexible housing package in the present invention;

[0029] Figure 5 It is a data sample diagram in the present invention;

[0030] Figure 6 It is a thermal map drawn by the amplitude parameter in the present invention;

[0031] Figure 7 It is the classification result diagram in the present invention.

[0032] In the figure: 11, sound signal; 12, microphone array unit; 13, micro control unit; 14, host computer unit; 21, microphone array unit; 22, flexible strap; 23, hydrogel adhesion layer; 31, acoustic sensor; 32, flexible shell; 41, microphone collection signal without flexible shell; 42, microphone collection signal with flexible shell; 51, normal release sound signal; 52, labrum avulsion sound signal; 53, fracture sound signal; 54, muscle tearing sound signal. DETAILED DESCRIPTION

[0033] The following will be described clearly and completely in conjunction with the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] The invention concept of this patent is: in view of the low accuracy, poor real-time performance, high cost and other problems existing in the existing release treatment technology, an acoustic detection device and system for manual release treatment of shoulder capsule adhesion is designed, which uses a microphone with flexible packaging to pick up abnormal sound signals of the patient's shoulder joint during the diagnosis and treatment of shoulder capsule adhesion. Under non-invasive conditions, the abnormal sound signals of different types of shoulder joint lesions can be identified to provide doctors with reliable reference information.

[0035] Embodiment: This embodiment provides an acoustic detection device for the manual release treatment of shoulder capsule adhesion, including: a microphone array unit 12, a micro control unit 13, and a host computer unit 14.

[0036] The microphone array unit 12 includes a plurality of acoustic sensors 31 and a plurality of flexible shells 32 for wrapping the acoustic sensors 31. Flexible straps 22 are connected between the plurality of flexible shells 32 to form a circular array, which is arranged on the circumferential surface of the patient's shoulder joint. The acoustic sensors 31 in the microphone array unit 12 are encapsulated by the flexible shells 32, can fit the human body to pick up sound, have little effect on the movement of the shoulder joint, and have a certain passive noise reduction effect on the external environmental noise.

[0037] A data bus is connected between the acoustic sensor 31 and the micro control unit 13 . Each acoustic sensor 31 detects acoustic data at a corresponding position and transmits the data to the micro control unit 13 .

[0038] The micro control unit 13 is used to receive the voltage analog signal collected by the microphone array unit 12, and perform post-processing to obtain a digital signal to convert it into acoustic data.

[0039] The host computer unit 14 includes computer hardware and a host computer program. The computer hardware is connected to the micro control unit 13 and is used to receive acoustic data and perform feature extraction on the pre-processed signal.

[0040] The host computer program selects time domain features, frequency domain features, and time-frequency domain features, and obtains the patient's shoulder joint disease type and the specific location information of the muscle tear through classification model calculation and analysis.

[0041] The microphone array unit 12 is composed of 2-500 acoustic sensors 31, and the microphone array unit 12 picks up the multi-channel shoulder periphery sound signal 11. Taking the microphone array unit 12 as an example, the microphone array unit 12 is composed of 4 acoustic sensors 31 and a polydimethylsiloxane flexible shell 32, such as Figure 3 As shown, the flexible shell 32 is a composite structure of at least one of rubber, polydimethylsiloxane and polylactic acid, with a thickness of 5mm-2cm. Polydimethylsiloxane is used to design the flexible shell 32, and the microphone array unit 12 is encapsulated into a flexible unit. The microphone array unit 12 is encapsulated in the flexible shell 21, so that it can not only better fit the human body to pick up sound, but also play a certain passive noise reduction effect on the external environmental noise.

[0042] The microphone array unit 12 is provided with an amplifying and filtering circuit to convert the picked-up sound signal into a voltage signal. The output end is connected to the micro control unit 13 through a flexible wire. The main part of the micro control unit 13 is a micro signal processor, which converts the voltage analog signal into a digital signal. The output end is connected to the host computer unit 14.

[0043] When using the device, the microphone array unit 12 is glued to the shoulder joint of a patient undergoing a release operation under anesthesia, with the sound inlet facing the human body as the sound signal collection point. The acoustic sensor 31 is connected to the signal processing circuit and the microcontroller unit 13 through a flexible wire, and the sound signal picked up is transmitted to the computer after processing, and the sound signal of each channel is recorded by the computer, and finally pre-processed by noise reduction, filtering, etc. for query classification.

[0044] In this embodiment, the flexible conductor here is a flexible printed circuit board, and the interface of the adapter board is a shielded DuPont line interface or other interfaces with a shielding function that are integrated with the micro control unit 13.

[0045] The material of the flexible strap 22 is a composite structure of at least one of stretchable fabric fiber, rubber, polydimethylsiloxane and polylactic acid.

[0046] The surface of the microphone array unit 12 is pasted with a hydrogel adhesive layer 23 to enhance the adhesion to the human body, including polyvinyl alcohol, polyhydroxyethyl acrylate or polyacrylamide. Figure 2 As shown, multiple groups of microphone array units 12 can be encapsulated and attached to the human body through adhesive strips to collect information, taking the encapsulation of four groups of flexible straps 22 and hydrogel adhesive layer 23 as an example. In addition, by using polydimethylsiloxane as a flexible shell 32 for encapsulation, the wearability and passive noise reduction function of the microphone array unit 12 are optimized, which is particularly suitable for manual release therapy under anesthesia.

[0047] In summary, by obtaining information in the element form of microphone array unit 12, it is possible to know the source direction of the abnormal sound signal, expand the spatiality of the information source, and make the positioning of the abnormal area more accurate. After obtaining the information, the doctor can take targeted countermeasures to the area.

[0048] The shoulder joint sound signal 11 in the diagnosis process is used to detect the symptoms of shoulder joint adhesive capsule and the process of manual release treatment under anesthesia, which has the advantages of real-time and non-invasiveness. It solves the problem of lack of real-time detection means in the treatment of shoulder joint adhesive capsule, which is conducive to doctors to find problems on the spot and solve them.

[0049] The microphone array unit 12 is encapsulated in a flexible housing 32, which optimizes its wearability and passive noise reduction functions. It is also easy to disassemble, improves ease of use, reduces environmental conditions and operating requirements for system use, and its reusable nature reduces patient costs.

[0050] Also disclosed is a system of an acoustic detection device for manual release treatment of shoulder joint capsule adhesion, wherein the upper computer unit 14 determines evaluation parameters according to the time domain, frequency domain, and time-frequency domain characteristics when performing acoustic monitoring and evaluation of the corresponding area. The evaluation parameters include mean square value variance, waveform factor, signal amplitude, mean, standard deviation, skewness, kurtosis, root mean square, power, and classification scale index.

[0051] When the host computer unit 14 performs an abnormal situation warning for the corresponding area, it inputs an evaluation parameter and outputs a classification warning evaluation result.

[0052] Among them, the classification warning evaluation results include normal loosening sound signal 51, labrum avulsion sound signal 52, fracture sound signal 53 and muscle tearing sound signal 54.

[0053] In addition, after acquiring the acoustic information of each area, the host computer unit 14 draws a thermal map of the entire array for each evaluation parameter, and accurately locates the lesion according to the different colors of specific areas on the thermal map.

[0054] like Figure 4 As shown, taking the comparison of the signal 41 collected by the microphone without a flexible housing and the signal 42 collected by the microphone with a flexible housing as an example, the time domain comparison diagram shows the effect of the passive noise reduction.

[0055] like Figure 5 As shown, during the diagnosis process, the patient's shoulder joint is repeatedly moved, and the sound signal 11 of the microphone can be observed and recorded as the audio signal data of the patient. After preprocessing, the signal-to-noise ratio can be greatly improved, and the signal features can be extracted, including time domain features, frequency domain features, and time-frequency domain features.

[0056] like Figure 6As shown, a heat map is drawn using the amplitude parameters in the time domain signal obtained using an array of 4 microphone units. It is found that the amplitude at 12 o'clock is abnormal, which can attract the doctor's attention during diagnosis and treatment and in subsequent pathological analysis.

[0057] like Figure 7 As shown, combined with the abnormal and normal sample data features in the database, the sample data includes four types, taking the normal loosening sound signal 51, the labral avulsion sound signal 52, the fracture sound signal 53, and the muscle tear sound signal 54 as examples, the classification model trained by machine learning can predict the patient's symptoms and tear types, with a success rate of more than 88%. Therefore, this system can provide doctors with valuable reference information in the diagnosis process and help surgery and patient treatment.

[0058] In summary, by utilizing the shoulder joint sound signals during the diagnosis process to detect the symptoms of adhesive capsulitis of the shoulder and the process of manual release treatment under anesthesia, it is possible to obtain symptom classification information and abnormal site information. It has the advantages of being non-invasive, accurate, easy to operate, and low-cost, and can reduce additional damage to patients during the treatment process. It solves the problems of lack of detection methods and inaccurate diagnosis in the treatment of adhesive capsulitis of the shoulder in clinical practice.

[0059] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An acoustic detection device for manual release treatment of shoulder capsule adhesion, characterized in that: include: Microphone array unit (12), micro control unit (13), host computer unit (14); The microphone array unit (12) comprises a plurality of acoustic sensors (31) and a plurality of flexible shells (32) for wrapping the acoustic sensors (31); a flexible strap (22) is connected between the plurality of flexible shells (32) to form an annular array arranged on the circumferential surface of the patient's shoulder joint; A data bus is connected between the acoustic sensor (31) and the micro control unit (13); each acoustic sensor (31) detects acoustic data at a corresponding position and transmits the data to the micro control unit (13); The micro control unit (13) is used to receive the voltage analog signal collected by the microphone array unit (12), perform post-processing to obtain a digital signal and convert it into acoustic data; The host computer unit (14) includes computer hardware and a host computer program. The computer hardware is connected to the micro control unit (13) and is used to receive acoustic data and extract features from pre-processed signals. The host computer program selects time domain features, frequency domain features, and time-frequency domain features, and obtains the patient's shoulder joint disease type and the specific location information of the muscle tear through classification model calculation and analysis.

2. The acoustic detection device for manipulation release treatment of shoulder joint capsule adhesion according to claim 1, characterized in that: The microphone array unit (12) is composed of 2-500 acoustic sensors (31).

3. The acoustic detection device for manipulation release treatment of shoulder joint capsule adhesion according to claim 2, characterized in that: The microphone array unit (12) is provided with an amplifying and filtering circuit, and an output end is connected to a micro control unit (13) via a flexible wire.

4. The acoustic detection device for manipulation release treatment of shoulder joint capsule adhesion according to claim 1, characterized in that: A hydrogel adhesive layer (23) is adhered to the surface of the microphone array unit (12).

5. The acoustic detection device for manipulation release treatment of shoulder joint capsule adhesion according to claim 1, characterized in that: The material of the flexible binding belt (22) is a composite structure of at least one of stretchable fabric fibers, rubber, polydimethylsiloxane and polylactic acid.

6. The acoustic detection device for manipulation release treatment of shoulder joint capsule adhesion according to claim 1, characterized in that: The flexible shell (32) is a composite structure of at least one of rubber, polydimethylsiloxane and polylactic acid, and has a thickness of 5 mm to 2 cm.

7. A system of an acoustic detection device for manual release treatment of shoulder joint adhesion capsule, according to any one of claims 1 to 6, characterized in that: When performing acoustic monitoring and evaluation of a corresponding area, the host computer unit (14) determines evaluation parameters based on time domain, frequency domain, and time-frequency domain characteristics.

8. The system of the acoustic detection device for manipulation release treatment of shoulder joint adhesion according to claim 7, characterized in that: The upper computer unit (14) inputs evaluation parameters and outputs classification early warning evaluation results when performing early warning of abnormal conditions in the corresponding area; 9. The system of the acoustic detection device for manual release treatment of shoulder joint adhesion according to claim 8, characterized in that: The classification warning evaluation result includes a normal loosening sound signal (51), a labral avulsion sound signal (52), a fracture sound signal (53) and a muscle tear sound signal (54).

10. The system of the acoustic detection device for manipulation release treatment of shoulder joint adhesion according to claim 7, characterized in that: After acquiring the acoustic information of each area, the host computer unit (14) draws a thermal map of the entire array for each evaluation parameter, and accurately locates the lesion according to the different colors of specific areas on the thermal map.

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