Acoustic detection device and system for manual release treatment of adhesive capsulitis of the shoulder joint

Abstract

The present invention discloses an acoustic detection device and system for manual release treatment of shoulder joint adhesions, which relates to the field of medical detection technology. The device and system include a microphone array unit, wherein each microphone in the array is wrapped in a flexible shell, and flexible straps are connected between multiple flexible shells to form a ring array. A microcontroller converts the voltage analog signal input by the microphone array unit into a digital signal and transmits it to a host computer unit; the host computer unit is connected to the microcontroller and outputs a clinical symptom classification and recognition result based on the precise location of the abnormal area of ​​activity of the shoulder joint and its surrounding tissues and the specific sound signal. The present invention can conveniently, quickly and effectively provide feedback to the doctor under non-invasive conditions on whether the patient has abnormal tearing, what kind of abnormality has occurred, and the specific location where the abnormal warning information appears, thereby reducing additional damage to the patient during the treatment process and improving the targetedness and accuracy of diagnosis and treatment.

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 adhesive capsulitis of the shoulder joint. Background Art

[0002] Adhesion of the shoulder capsulitis, also known as frozen shoulder, is a common shoulder joint 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 ultimately 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, and 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 have the following defects:

[0004] (1) During the MUA process, the patient is under anesthesia. Improper use of force by the doctor may lead to postoperative complications such as soft tissue injury, joint dislocation and fracture. This is especially true for patients with severe joint inflammation. If this happens, the doctor cannot determine whether the patient's shoulder tissue has been abnormally torn and what type of tear has occurred. The doctor cannot also confirm the specific direction of the injury source, making it difficult to provide timely feedback and adjust the operation during the operation, which can easily lead 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 operational 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 adhesions, 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 adhesive capsulitis of the shoulder joint, 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. Flexible straps are connected between the plurality of flexible shells to form a ring array, which is 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, perform post-processing to obtain a digital signal and convert it into acoustic data;

[0012] The host computer unit includes computer hardware and a host computer program. The computer hardware is connected to the microcontroller unit and is used to receive acoustic data and perform feature extraction on the pre-processed signal.

[0013] The upper 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 via 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 flexible strap is made of a composite structure of at least one of stretchable textile fibers, 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 to 2 cm.

[0019] A system of acoustic detection devices for manual release treatment of shoulder joint adhesions. According to the acoustic detection device for manual release treatment of shoulder joint adhesions, the host computer unit determines the evaluation parameters based on the time domain, frequency domain, and time-frequency domain characteristics when performing acoustic monitoring and evaluation of the corresponding area.

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

[0021] In a further embodiment, the classified warning assessment 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 based on 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 provide doctors with reliable reference information quickly and conveniently 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 chart 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. Microcontroller 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 is a clear and complete description of the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts are within the scope of protection of the present invention.

[0034] The inventive concept of this patent is to address the low accuracy, poor real-time performance, and high cost issues of existing release treatment technologies. An acoustic detection device and system for manual release treatment of adhesive capsulitis of the shoulder has been designed. This system utilizes a flexible, encapsulated microphone to pick up abnormal sound signals from the patient's shoulder joint during the diagnosis and treatment of adhesive capsulitis. This system can non-invasively identify abnormal sound signals associated with different types of shoulder joint lesions, providing reliable reference information to physicians.

[0035] Embodiment: This embodiment provides an acoustic detection device for manual release treatment of shoulder joint 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 several acoustic sensors 31 and multiple flexible shells 32 for wrapping the acoustic sensors 31. Flexible straps 22 are connected between the multiple 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 shell 32, can fit the human body to pick up sound, have little effect on the shoulder joint movement, and have a certain passive noise reduction effect on the external environmental noise.

[0037] A data bus is connected between the acoustic sensors 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, perform post-processing to obtain a digital signal and 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 upper 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. 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. Figure 3 As shown, the flexible housing 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 housing 32, encapsulating the microphone array unit 12 into a flexible unit. The flexible housing 21 encapsulates the microphone array unit 12, allowing it to better conform to the human body and pick up sound while also providing a certain degree of passive noise reduction against external ambient noise.

[0042] The microphone array unit 12 is provided with an amplification and filtering circuit, which converts 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 this device, the microphone array unit 12 is positioned with its sound input facing the human body as a sound signal collection point. The device is then bonded to the shoulder joint of a patient undergoing a release surgery under anesthesia. The acoustic sensor 31 is connected to the signal processing circuit and microcontroller unit 13 via a flexible wire. The picked-up sound signals are processed and transmitted to a computer, which then records the sound signals from each channel. Finally, the sound signals undergo pre-processing such as noise reduction and filtering for query classification.

[0044] In this embodiment, the flexible conductor 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 flexible strap 22 is made of a composite structure of at least one of stretchable textile fibers, 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 microphone array units 12 can be encapsulated and attached to the human body via adhesive strips to collect information. Four flexible straps 22 and a hydrogel adhesive layer 23 are used as an example. Furthermore, by encapsulating the flexible housing 32 using polydimethylsiloxane, the wearability and passive noise reduction capabilities of the microphone array unit 12 are optimized, making it particularly suitable for manual release therapy under anesthesia.

[0047] In summary, by using the element form of microphone array 12 to obtain information, the source direction of the abnormal sound signal can be known, the spatiality of the information source is expanded, and the positioning of the abnormal area is made more accurate. After obtaining the information, the doctor can take targeted countermeasures to the area.

[0048] Utilizing shoulder joint sound signals 11 during the diagnostic process to monitor adhesive capsulitis and the progress of manual release treatment under anesthesia offers real-time, non-invasive detection. This addresses the lack of real-time detection methods during adhesive capsulitis treatment, enabling doctors to identify and address issues on the spot.

[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, which improves the convenience of use and reduces the environmental conditions and operating requirements for the use of the system. The reusable feature reduces patient costs.

[0050] Also disclosed is a system for an acoustic detection device for manual release treatment of adhesive capsulitis of the shoulder joint. 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. The evaluation parameters include mean square error, form factor, signal amplitude, mean, standard deviation, skewness, kurtosis, root mean square, power, and a type-scaling index.

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

[0052] Among them, the classification warning evaluation results include normal loosening sound signal 51, labral 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 patient's audio signal data. 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, combining the characteristics of abnormal and normal sample data in the database (including four types of sample data, such as normal release sound signal 51, labral avulsion sound signal 52, fracture sound signal 53, and muscle tear sound signal 54), a classification model trained through machine learning can predict the patient's condition and tear type with a success rate of over 88%. Therefore, this system can provide doctors with valuable reference information during the diagnosis process, assisting 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 and the process of manual release treatment under anesthesia, it is possible to obtain symptom classification information and abnormal site information. This has the advantages of being non-invasive, accurate, easy to operate, and low-cost, reducing additional damage to patients during the treatment process, and solving the problems of lack of detection methods and inaccurate diagnosis in the clinical treatment of adhesive capsulitis of the shoulder.

[0059] While 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 these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An acoustic detection device for manual release of adhesive capsulitis of the shoulder joint, characterized in that: include: Microphone array unit (12), micro control unit (13), host computer unit (14); 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), and 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), and 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 perform feature extraction on the pre-processed signal. The upper 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 therapy of adhesive capsulitis of shoulder joint 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 therapy of adhesive capsulitis of shoulder joint 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 therapy of adhesive capsulitis of shoulder joint 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 adhesive capsulitis of shoulder joint according to claim 1, characterized in that: The material of the flexible strap (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 therapy of adhesive capsulitis of shoulder joint 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. An acoustic detection device system for manual release treatment of adhesive capsulitis of the shoulder joint, 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 adhesive capsulitis of shoulder joint according to claim 7, characterized in that: When performing an abnormal situation warning in a corresponding area, the host computer unit (14) inputs an evaluation parameter and outputs a classification warning evaluation result.

9. The system of the acoustic detection device for manipulation release treatment of adhesive capsulitis of shoulder joint according to claim 8, characterized in that: The classification warning assessment result includes a normal loosening sound signal (51), a labral avulsion sound signal (52), a fracture sound signal (53) and a muscle tearing sound signal (54).

10. The system of the acoustic detection device for manipulation release treatment of adhesive capsulitis of shoulder joint 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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