1041 results about "Skull bone" patented technology

The invention relates to the technical field of skull repair, and discloses a personalized 3D printing porous composite hydroxyapatite coating skull repair body which comprises a truss structure, a plurality of porous areas are distributed on the truss structure, bionic bone trabecula structures are integrally formed in the porous areas, the truss structure is composed of hollow pipes communicating with one another, and the hollow pipes communicate with one another. A plurality of small holes and micro holes which are communicated with the interior of the hollow pipe are formed in the hollow pipe, and a composite coating of a hydroxyapatite coating and titanium is sprayed on the porous area; the invention provides a personalized 3D printed skull restoration with a porous composite hydroxyapatite coating. The problem that the biocompatibility, the bone induction capability and the bone ingrowth effect of an existing skull restoration need to be improved is solved.

The invention belongs to the technical field of ultrasonic imaging, and particularly relates to a phase distortion correction method for craniocerebral ultrasonic imaging. The method comprises the following steps: acquiring ultrasonic echo data in a skull scene and a B-mode image obtained after beam forming; identifying the skull boundary of the transcranial B-mode image, and constructing a craniocerebral sound velocity model; solving a sound wave travel time matrix under the current sound velocity model on the basis of a ray theory method or an EiKonal equation, and applying the sound wave travel time matrix to beam forming to obtain an image after phase distortion correction; and a transcranial imaging result after beam forming is optimized, including space-time signal filtering processing, Doppler processing, microbubble detection positioning and tracking processing and compensation processing of signal attenuation caused by skull reverberation. According to the method, the axial blood flow velocity estimation precision can be greatly improved, the spatial resolution and saturation of an imaging result are improved, and high-quality skull imaging and hemodynamics and brain function research are facilitated.

The present invention relates to a method for modelling a customised helmet for a user, the method being characterised in that it comprises carrying out, by data processing means (11) of a first server (1), the steps of: (a) obtaining a three-dimensional representation of a surface of the user's skull; (b) selecting a three-dimensional functional layer model of the helmet from among a plurality of predefined three-dimensional functional layer models according to the three-dimensional representation of the surface of the user's skull; (c) constructing a three-dimensional customised comfort layer model of the helmet that fills the space between the surface of the skull and the functional layer for the selected three-dimensional functional layer model; (d) fusing the selected three-dimensional functional layer model and the constructed three-dimensional customised comfort layer model into a comprehensive helmet model, suitable for additive manufacturing.

The embodiment of the invention relates to the technical field of brain-computer interfaces, in particular to a brain-computer interface module, a digital skull implant and an integration method and related application of the digital skull implant. The digital skull implant comprises a skull prosthesis and a brain-computer interface module, wherein the brain-computer interface module and the skull prosthesis are integrated; the brain-computer interface module comprises an ultrasonic transducer used for sending ultrasonic signals to the brain and collecting brain echo signals. The brain-computer interface module comprises an ultrasonic transducer used for sending ultrasonic signals to the brain and collecting brain echo signals. The brain-computer interface module is configured to be integrated with a skull or a skull prosthesis. In this way, the implantation structure integrating the brain-computer interface module in the skull form can have good mechanical strength and biocompatibility, complete implantation and wireless design can be achieved, and ultrasonic waves penetrate through the skull to conduct precise stimulation on the brain area.

The invention discloses a skull data comparison method based on artificial intelligence. The skull data comparison method comprises the following steps: S1, acquiring three-dimensional scanning data of a skull to be detected and a reference skull database; s2, preprocessing the skull data to be detected; s3, multi-dimensional features of the skull to be detected are extracted through the deep learning model; s4, performing similarity comparison on the skull features to be detected and skull features in the reference database to generate a matching degree score; s5, outputting identity information or a morphological analysis result of the target reference skull according to the matching degree score; the invention further provides a skull data comparison system based on artificial intelligence. The skull data comparison system comprises a data acquisition module, a preprocessing module, a feature extraction module, an intelligent comparison module and a visual output module. Compared with the prior art, the method has the advantages that the comparison accuracy is high; the processing speed is high; the application range is wide.

The utility model discloses a double-locking skull fixing system, and belongs to the field of medical instruments. The double-locking skull fixing system comprises a connecting piece and a groove plug, the connecting sheet comprises a flat plate; fixing parts are arranged at the two ends of the flat plate; and the longitudinal section of the fixing part is L-shaped. The fixing system comprises a connecting piece and a groove plug, during fixing, the connecting piece is placed in, the connecting piece rotates around the center of the connecting piece, the end of the connecting piece enters a clamping groove of a skull and a repairing piece for primary fixing, the repairing piece makes contact with the edge of the skull after fixing, then the groove plug is placed in for secondary fixing, and therefore the purpose of fixing the skull and the repairing piece is achieved. The problem that in the prior art, skull locking operation is tedious is solved.

Belongs to the technical field of biomedical engineering, and discloses a method, a device, equipment, a product and a storage medium for identifying skull defects by constructing a characteristic spectrum through a nuclear magnetic image to solve the problem that a defect area is mistakenly divided into skull areas in existing automatic skull segmentation. Converting the human brain nuclear magnetic image to an anatomical space based on the plurality of anatomical points, and implementing preliminary segmentation to obtain a primary segmentation region of the skull; calculating coordinates of voxel points in the primary segmentation region in an anatomical point coordinate system, establishing a matrix, calculating a plurality of nuclear magnetic gray statistical characteristics of the primary segmentation region, and drawing a characteristic spectrum; and performing multi-condition feature threshold judgment on the feature map to obtain a logic binary map, and extracting a region of which a connected domain is greater than a specified threshold as a skull defect region. According to the method provided by the invention, a plurality of gray features are utilized, the misrecognition of the skull in the prior art is effectively corrected, the method can be further used for judging the filling tissue of the skull defect area, and the skull defect recognition capability can be improved.

The invention discloses a bone regeneration promoting drug-loaded skull implant with a bionic structure and a preparation method of the bone regeneration promoting drug-loaded skull implant, and belongs to the technical field of medical materials. The skull implant is prepared through a flat plate mold pressing technology and is of a bionic three-layer structure, the upper layer and the lower layer of the haft tube imitating structures and the middle layer of the bone trabecula imitating structure are prepared through the water-soluble core, a vascularization channel can be provided, and bone tissue climbing is promoted; a polydopamine-carboxymethyl chitosan coating is used for carrying out surface modification on a porous structure of the implant, hydroxyapatite in-situ forming and bone regeneration promoting medicine loading are achieved through an impregnation process, and the polydopamine coating can provide a hydration environment; hydroxyapatite in-situ forming increases biocompatibility on the premise of not influencing the mechanical properties of implants, in addition, hydroxyapatite degradation and drug release can jointly induce bone tissue regeneration, and skull repair is promoted.

The invention discloses a preparation method and application of high-strength, high-inorganic-ratio and degradable organic-inorganic composite hydrogel, and belongs to the technical field of biomedical tissue engineering. The hydrogel is prepared from the following components in percentage by weight: 30 to 70 percent of calcium phosphate nano-cluster and 30 to 70 percent of sodium alginate. The organic-inorganic composite hydrogel is beneficial to proliferation and mineralization of bone cells, and more ideal bone guidance is realized. Experimental results prove that the material has good cytocompatibility, can quickly promote rat skull defect repair (8 mm limit bone injury repair time is shortened to 4 weeks), and has a more remarkable healing effect compared with a contrast autogenous bone graft material with an optimal clinical repair effect. The high-strength organic-inorganic composite hydrogel prepared by the invention is of a single-network structure, shows good mechanical properties, also has excellent degradability matched with tissues, and is beneficial to hard tissue repair.

The invention discloses a transcranial magnetic stimulation positioning system based on a deep effect brain region, and the system comprises the steps: obtaining the data of a tested magnetic resonance image, which comprises a resting state functional image and a high-resolution T1 structure image; performing data preprocessing on the function image and the structure image, and establishing an individual space; the deep effect brain region template is converted to an individual space through nonlinear registration, and a target region of interest is defined; calculating functional connections between voxels of the deep effect brain region and the cortical region by adopting a Granger causality analysis method based on wavelet transformation; and screening Top block masses according to the functional connection strength, calculating the gravity centers of the Top block masses, and determining individualized stimulation targets in combination with the skull surface distance. According to the method, spontaneous brain activity function variation of the brain of an individual and the brain signal propagation direction are fully considered, accurate positioning of different individual levels is achieved, relatively stable cortex stimulation targets are obtained, and therefore the clinical curative effect of TMS is optimized.

The invention relates to the technical field of medical image auxiliary diagnosis, in particular to a nuclear magnetic resonance image auxiliary diagnosis method and system based on multi-modal fusion. The method comprises the following steps: step 1, synchronously acquiring a three-dimensional T1 weighted structure image, a T2 weighted fluid attenuation inversion recovery image and diffusion weighted imaging data of a subject, carrying out spatial registration by taking the T1 weighted image as a reference, and executing skull stripping and gray scale standardization; 2, individualized brain region segmentation is carried out based on a brain anatomical map, the lesion sensitivity weight of each modal is calculated for each segmented brain region, and the weight is obtained by quantifying the following parameters; step 3, extracting multi-modal image features in each brain region; and 4, inputting the fusion features of the whole brain region into a multi-task classifier. The standardization and alignment of the multi-mode MRI image in the space and gray level are realized, and the problems of space mismatch and feature interference among different modes are effectively solved.

According to the in-situ printing track planning method provided by the invention, an integrated point cloud data processing flow is designed after 3D scanning, so that manual intervention is reduced; the LSCM algorithm and the ARAP algorithm are respectively utilized to carry out plane parameterization and dimension reduction on the three-dimensional triangular mesh so as to reduce the implementation difficulty and improve the path planning efficiency, and the two methods are mutually verified so as to ensure the parameterization effect; solving a grid correspondence problem by utilizing vertex topology uniqueness, and designing a dynamic reasoning mechanism, namely, when fingerprints are not completely unique, gradually deducing to global correspondence through limited vertex corresponding information in a triangle to adapt to uncertainty of defective grid information; a defective skull layering path is integrally generated through input bone tissue parameters and curved surface defect grids, and the structural characteristics of an original skull are simulated. The whole process of the method from point cloud preprocessing to path generation is automatic, intervention is reduced, response is quick, adaptation individuation is improved, and skull tissue function recovery is promoted through bionic design.

The present application discloses a skull repair connection assembly and an installation method thereof, comprising a lower base and an upper cover; the upper cover comprises a cover plate and a one-way bolt; the one-way bolt is fixedly arranged at the lower middle end of the cover plate; a plurality of inclined protrusions are arranged on both sides of the one-way bolt; the lower base comprises a pair of symmetrically arranged card plates; the pair of card plates are fixedly connected by a bent elastic sheet; a cavity for accommodating the one-way bolt is formed between the opposite surfaces of the pair of card plates and the elastic sheet; a plurality of grooves for cooperating with the protrusions are arranged on the side of the card plate close to the cavity; a buckle for engaging the skull or the repair piece is arranged on the side of the lower end of the card plate away from the cavity; a pressing piece for lifting the card plate is arranged on the side of the upper end of the card plate away from the cavity; the protrusions cooperate with the grooves to form a locking structure, so that the lower base and the upper cover are connected and fixed. The installation can be completed in only two steps, and the operation is simple and convenient, and no auxiliary equipment is required.

The invention belongs to the technical field of biology, and particularly relates to milk-derived pentapeptide for promoting calcium mineral absorption and application of the milk-derived pentapeptide. The CPP containing the high-activity peptide fragment is obtained by optimizing a process, and the influence of the CPP on mineral absorption is verified by utilizing a zebra fish model. Then, the pentapeptide GPFPI with calcium absorption promoting activity is screened out from the CPP in combination with peptidomics and a molecular docking technology, functional verification is carried out, it is found that the pentapeptide presents a dose-dependent trend on Ca < 2 + > transport, the Ca < 2 + > transport amount is remarkably increased by 23.23% at 10 mu M, and meanwhile, zebra fish experiments show that intervention of the GPFPI effectively reverses accumulated optical density value reduction caused by dexamethasone, and the effect of inhibiting calcium absorption is achieved. Compared with a manufacturing module, the skull accumulative optical density value of a GPFPI (2-20 mu M) processing group is remarkably increased. It is shown that the synthetic peptide GPFPI can effectively promote Ca < 2 + > transfer and absorption, improve the osteoporosis symptom of zebra fish and increase deposition of calcium in bones.

The invention provides a device and equipment for evaluating the dose-effect relationship of craniocerebral injury caused by human body explosive shock waves and a medium, and relates to the technical field of craniocerebral injury dose-effect relationship evaluation.The method comprises the steps that firstly, the scale law relationship of explosive shock wave attenuation coefficients of different species is established, and the incidence pressure peak values of the forehead of the human body corresponding to different incidence overpressure duration time are calculated; and then establishing a human body craniocerebral explosion injury 50% survival curve, and evaluating the craniocerebral injury dose-effect relationship of the person to be evaluated based on the curve. According to the evaluation device, by combining experimental animals with different weights and skull thicknesses, high-precision physical head models and other outfield actual explosion experiments, the dose-effect relationship of the craniocerebral injury of the experimental animals is transited to people, the dose-effect relationship of the craniocerebral injury of the human body is established, a craniocerebral injury evaluation system of the human body explosive shock waves is formed, and the complex structure of the craniocerebral of the human body is considered; and the dose-effect relationship of the animal is filtered into the human body, so that the dose-effect relationship of craniocerebral injury when the human body is subjected to explosion impact can be evaluated more accurately.

The invention discloses a method, device and equipment for generating a head model, a storage medium and a program product. The method is characterized by comprising the following steps of: receiving and verifying original three-dimensional T1 weighted image data and an original three-dimensional grid model; performing tissue segmentation based on the verified three-dimensional T1 weighted image data and the original three-dimensional T1 weighted image data to obtain a cerebral grey matter mask, a cerebral white matter mask, a scalp mask and a skull mask; performing topological structure repair on the brain grey matter mask and the brain white matter mask to obtain a brain mask; respectively converting the scalp mask, the skull mask and the brain mask into a scalp mesh model, a skull mesh model and a brain mesh model; calculating and applying a spatial transformation matrix from the verified three-dimensional grid model to the scalp grid model, and performing spatial registration and fusion on the scalp grid model, the skull grid model and the brain grid model to obtain a head model; the method has the advantages that the efficiency, precision and robustness of head model generation are effectively improved, and the method has good cross-platform deployment capability.

A method for fabricating a custom cranial remodeling device for correction of cranial deformities in a subject is described. The method comprises generating a three-dimensional head data file for the subject. Predetermined reference points are identified on the head. The predetermined reference points are utilized to calculate contour lines on the head. A modified head shape data file is generated and juxtaposed with the head represented by the three-dimensional head data file having the contour lines thereon. The modified head shape data file is used to generate a shape for a desired custom cranial remodeling device, the shape having an interior surface to contact the head and an outer surface The contour lines establish peripheral edges for the custom cranial remodeling device.

The invention relates to a bone cement injection device for skull repair. The bone cement injection device comprises an outer sheath tube, a separate injection structure and an outer push rod, a pushing channel extending in the axial direction is formed in the outer sheath tube, the tube wall of the outer sheath tube is provided with a first hole group and a second hole group which are symmetrically distributed by 180 degrees in the circumferential direction, and each hole group comprises a plurality of via holes arranged at equal intervals in the axial direction; the two symmetrically-arranged separated injection structures are arranged corresponding to the first hole set and the second hole set respectively, each separated injection structure comprises a separated injection pipe, the separated injection pipe is inserted into the pushing channel, a perfusion channel extending in the axial direction is arranged in the separated injection pipe, the near end of the perfusion channel is through, and the far end of the perfusion channel is closed; the rigid contact pins are arranged at equal intervals in the axial direction of the separate injection pipe and penetrate through the side wall of the separate injection pipe at the same circumferential angle, and the inner end of each contact pin is communicated with the perfusion channel. The repairing block can be effectively filled with bone cement, and the effect after skull repairing is improved.

A transcranial Focused Ultrasound (tFUS) system uses a neural network to correct skull aberrations and maximizes the transmission of ultrasound waves through the skull. A method using supervised learning generates aberration correction parameters to be used by the receiver and transmitter of the tFUS system. A method utilizing these aberration correction parameters operating on the tFUS system maximizes the coherence of ultrasound waves passing through the skull. The method maximizes the amount of power transmitted through the skull, given a fixed maximum pressure (for example, determined by regulatory requirements).

The invention discloses a multi-channel phase resonance transcranial ultrasonic regulation and control system and method based on 3D printing, and relates to the technical field of transcranial ultrasonic nerve regulation and control. Firstly, after three-dimensional modeling is conducted on the basis of patient head diagnosis and treatment data obtained in advance, a brain region needing to be stimulated is calibrated; then, on the basis of the acoustic theory, calculating a spatial position and an angle corresponding to the ultrasonic stimulation probe by applying an inversion technology; according to the calculation result, a personalized 3D printing helmet is designed, and a structure used for fixing an ultrasonic probe is printed on the top of the helmet; the device for fixing the ultrasonic stimulation probe adopts a special design, and the distance between the probe and the surface of a skull can be adjusted; the ultrasonic stimulation probe is composed of multiple channels and multiple array elements and can achieve phase resonance and adjust the focus position. Due to the fact that millimeter-level deviation exists in the system, a large amount of data are collected, an artificial intelligence model is established, modeling is conducted on 3D printing helmet system errors, after accurate errors are obtained, the focus position is further adjusted through the ultrasonic phase resonance technology, and accurate positioning is achieved.

The present disclosure relates to the field of ultrasonic detection, in particular to a craniocerebral ultrasonic standard plane imaging and automatic detection and display method for abnormal regions. The following technical solution is adopted: contour detection is performed on the scanned ultrasound images the skull to construct a skull surface model, and the standard planes in ultrasound images are identified and extracted according to the skull surface model. The symmetry of the standard planes in ultrasound images is used to compare the similarity, so as to obtain the abnormal regions for segmentation and display. The advantages of the present disclosure are as follows: the skull surface model is constructed by detecting the cranial edge, and the coordinate system is established based on this model, thereby the standard planes in ultrasound images can be quickly identified from the scanned ultrasound images.

The invention relates to the technical field of peek skull defect repair, in particular to a skull defect repair structure based on structural reconstruction of a peek skull repair material, which comprises a repair patch, a plurality of hourglass-shaped pore channels are formed in the surface of the repair patch, the diameter of the port of a horn-shaped concave groove is larger than that of the tail of the horn-shaped concave groove, the diameter of the port is 1.5 mm, the diameter of the tail of the horn-shaped concave groove is 0.05 mm, and the diameter of the hourglass-shaped pore channels is 1.5 mm. The hourglass-shaped hole channel is designed to be in an hourglass shape with two wide ends and a slender channel, the contact area between the two ends of the hole channel and healthy skull tissue is increased, growth, climbing and combination of granulation tissue are facilitated, meanwhile, attachment, adhesion and healing of soft tissue inside and outside a growth promoting layer repairing material are facilitated, the integration degree of the implant is further improved, and the survival rate of the implant is increased. And the outer surface of the PEEK is covered with the convex structures, so that the contact area between the PEEK material and tissues can be increased, the growth and combination of the tissues are facilitated, and individualized design conforming to aesthetic plastic surgery, thickening design for supplementing temporal muscle atrophy space and mutual embedding of the PEEK material and the skull are carried out.

A surgical planning device (10), a surgical planning method, a surgical planning system, and a computer-readable storage medium. The surgical planning device (10) comprises a memory (1) and at least one processor (2); the at least one processor (2) is configured to implement the following steps when executing computer programs: on the basis of a thickness constraint condition, determining a first pre-selected region set from a skull image model of a subject (S101); on the basis of a collision screening condition, determining a second pre-selected region set from the skull image model by means of a device three-dimensional model (S102); on the basis of a fitting determination condition, determining a third pre-selected region set from the skull image model by means of the device three-dimensional model (S103); and on the basis of the first pre-selected region set, the second pre-selected region set, and the third pre-selected region set, acquiring at least one target pre-selected region from the skull image model and displaying same (S104).

The invention provides an analogue simulation method for accumulated craniocerebral injury under the action of multiple shock waves, and relates to the technical field of data processing. The method comprises the following steps: constructing an explosive shock wave model; constructing a head geometric model; the brain, the cerebellum and the brainstem in the solid area are represented through a Mooney Rivlin model; representing the skin, muscles and skull in the solid area through a linear elastic constitutive model; the cerebrospinal fluid in the fluid area is represented through the fluid dynamic model; coupling the fluid region and the solid region through an embedded boundary method; calculating the explosion impact pressure when the explosion impact waves of each turn are transmitted to the head through an explosion impact wave model; through a finite element analysis method, accumulated skull displacement, skull acceleration, skull stress, skull strain and intracranial pressure under the action of each turn of explosion shock waves are determined, and a brain accumulated injury value is calculated.

Systems and methods using non-imaging transcranial focused ultrasound (tFUS) systems are described. Non-imaging annular and matrix probes with low element counts are used in the systems. In an embodiment, an infrared-based system is used to gather the ultrasound's position information on the scalp. The position information is used to simulate the spatial distribution of the ultrasound field of the ultrasound probes. The simulation output is overlaid with pre-procedure MRI data and displayed to a clinician. Measurements on the MRI data are used to compensate the beam formation for the acoustic behavior of the skull so that a desirable tFUS focal region is achieved. In a different embodiment, an optical system is used for gathering positional information.

The invention discloses a brain image area label generation method based on standard space inverse deformation reflection, and relates to the technical field of medical image processing and computer vision. The method comprises the following steps: performing skull stripping and resampling preprocessing on an individual space target brain image, performing rigid, affine and nonlinear cascade registration on the preprocessed brain image and a standard space template, and solving a forward deformation field and an inverse deformation field; calling an inverse deformation field to reversely propagate standard space anatomical atlas labels to an individual space, and resolving label conflicts to obtain an initial label graph; generating each modal coarse label graph through the registration matrix, and performing weighted fusion according to a confidence coefficient weight to obtain a consistent coarse label set; quality control is executed based on anatomy prior, an individualized label is obtained after topological repair, and finally a label, metadata and an uncertainty evaluation report are exported. According to the method, automation and standardization of brain image tag generation are realized, and the accuracy, consistency and generalization ability of tags are improved.

The invention discloses a brain-computer interface signal enhancement and evaluation method fusing physical information. The method comprises the following steps: firstly, based on an individual structure magnetic resonance image, constructing a personalized six-layer brain tissue anatomical model comprising a cortex, a white matter, cerebrospinal fluid, a dura mater, a skull and a scalp, and endowing differentiated conductivity parameters; secondly, neuroelectrophysiology priori knowledge such as neurodynamics and white matter anisotropic conduction is converted into a representation rule which can be learned by a neural network; then, the rules are systematically embedded into a physical information neural network in a differentiable physical constraint form, including a cortical neurodynamic equation residual error, a volume conduction equation residual error of each layer and an interlayer interface continuity constraint; and finally, training a network by using the scalp electroencephalogram signals, and jointly outputting high-fidelity intracranial electroencephalogram signals and multi-modal neurophysiological information by minimizing a loss function containing reconstruction and physical constraints. According to the method, the fidelity, the physical rationality and the clinical interpretability of signal enhancement are effectively improved.

The invention discloses a craniofacial restoration method based on a diffusion model, and the method comprises the steps: S1, collecting a three-dimensional medical image of a head, carrying out the standardization processing and biological information labeling of the three-dimensional medical image, and obtaining a skull-craniofacial data set; s2, training a PiPNet network by using the craniofacial image marked with the craniofacial key structure mark points to obtain a craniofacial mark point recognition network; s3, constructing a craniofacial restoration network, and training the craniofacial restoration network by using the skull-craniofacial data set to obtain a craniofacial restoration model; and S4, inputting the skull image and the corresponding biological information into the craniofacial restoration model, and outputting a restored craniofacial image. According to the method, personal identity features are comprehensively captured by integrating multi-modal information; a diffusion model is used as a backbone network, the dependence of a traditional method on training data distribution is broken through, and the quality of a recovery result is remarkably improved. And meanwhile, an editable text prompt mechanism is introduced, so that the uncertainty of skull-face mapping is effectively reduced.

The present invention concerns a device (1) for restoring the integrity of the cranial bones, particularly of the non-resorbable type, comprising a plate body (3) in turn comprising a central body (5) and at least one peripheral portion (71), wherein said at least one peripheral portion (71) comprises fastening means (72) for fastening the device itself to the cranial bone (100), and wherein said cranial fixation device (1) comprises, at said central body (5), at least one insertion portion (50) protruding in a direction substantially orthogonal to said plate body (3) and which is configured to be inserted within a hole (102), drilled in the skull (100) of a patient, wherein said insertion portion (50) comprises a trabecular structure (51), suitable for stimulating bone regrowth and osseointegration of the device itself.

The invention discloses a bone conduction earphone and a bone conduction earphone system thereof, and relates to the technical field of bone conduction earphones, and the bone conduction earphone and the bone conduction earphone system thereof comprise a power supply module, a sound processing module and a connection module used for being connected with external equipment, the sound processing module comprises an audio input unit for receiving analog or digital audio signals from a microphone or other audio sources, the signal processing unit is used for processing the received audio signals; the vibration transmission unit is used for converting the processed audio signals into vibration signals and transmitting the vibration signals to auditory nerves of a user through skull bones; the signal processing unit comprises a noise reduction algorithm for reducing noise and a sound leakage prevention algorithm for reducing sound leakage of the bone conduction earphone; the noise reduction function and the sound leakage prevention function are achieved through the noise reduction algorithm and the sound leakage prevention algorithm respectively, and the noise reduction performance and the sound leakage prevention performance of the bone conduction earphone are improved.