770 results about "Chest cavity" patented technology

The invention relates to the field of heart rate monitoring, and discloses a millimeter wave radar breath and heart rate synchronous monitoring method and system, and the method comprises the steps: transmitting a linear frequency modulation continuous wave signal according to a millimeter wave radar, and collecting original echo data reflected by a target region; baseband signal demodulation and phase information extraction are carried out on the original echo data to obtain original phase time sequence data, and the original phase time sequence data comprise thoracic cavity micro-motion features; and according to a Butterworth band-pass filter, preprocessing the original phase time sequence data through human body physiological signal frequency band characteristics to obtain a breathing frequency band signal and a heart rate frequency band signal. According to the method, the apnea event triggering threshold value and the arrhythmia early warning index are updated in real time through Kalman filtering and extended Kalman filtering, so that the monitoring system can dynamically adjust the health parameters, which means that the monitoring system can be optimized in real time and the abnormal health event can be accurately responded in different physiological states.

The invention provides an expectoration auxiliary control method and device. The method comprises the steps that audio signals of breathing sounds and cough sounds at multiple positions of the chest of a patient are collected through an audio sensor array, and a standardized audio feature data set is obtained through noise reduction, segmentation and feature extraction; a dynamic weighted graph model is constructed, and a random edge sampling algorithm and a parallel batch processing dynamic algorithm are combined to analyze and obtain a sputum viscosity index and a sputum distribution position map; based on the result, mapping the vibration parameter space into an unweighted disk diagram, and obtaining a personalized vibration treatment scheme by using a shortest path algorithm; in combination with the real-time breathing cycle of the patient, working parameters of the sound wave vibrator and the negative pressure suction device are synchronously controlled, and a coordinated and consistent multi-mode treatment execution instruction is obtained; and collecting real-time feedback data in treatment, and dynamically adjusting working parameters through reinforcement learning to obtain an optimized expectoration adjuvant therapy scheme. Intelligent adjustment can be achieved based on the real-time breathing state and sputum characteristics of the patient, the expectoration efficiency is improved, and discomfort of the patient is reduced.

The invention discloses a sleep apnea type distinguishing method and device based on a millimeter wave radar, and a computer readable storage medium. The method comprises the following steps: acquiring a millimeter wave radar echo signal of a monitored object in a monitoring area; extracting body movement signal characteristics, thoracic cavity reflection signal energy characteristics and respiratory signal amplitude characteristics from the echo signals; on the basis of the extracted body movement signal features, the chest reflection signal energy features and the respiratory signal amplitude features, constructing a feature sequence with a time sequence; and inputting the feature sequence into a pre-trained classification model based on a self-attention mechanism to perform dynamic correlation analysis, and determining the sleep apnea type of the monitored object. The method has the advantages of non-contact type, accurate distinguishing of sleep apnea types and the like.

The invention belongs to the technical field of medical image assistance, and particularly relates to an auxiliary stereo imaging system and method for a complex chest trauma operation. By integrating multi-modal image data, real-time three-dimensional space capture, dynamic correction and risk score driven view adjustment, accurate assistance of the thymotomy operation process is achieved, the accuracy and safety of the operation are improved, the operation risk and operation difficulty are remarkably reduced, and the operation efficiency is improved. By acquiring and processing multi-modal image data in real time, a high-precision three-dimensional anatomical structure model containing thymus tissues, a blood vessel network and nerve distribution can be constructed, a visual surgical navigation view is provided for a doctor, meanwhile, a dynamic correction technology is adopted, thymus displacement parameters caused by thoracic cavity respiratory movement of a patient are monitored in real time, and the thoracic cavity of the patient can be accurately and accurately positioned. And on the basis, the real-time three-dimensional space data is dynamically adjusted, so that the spatial synchronization of the image data and the anatomical structure is ensured, and the navigation error caused by respiratory movement is effectively avoided.

The invention discloses a millimeter wave radar vital sign detection method based on an HHO-CEEMDAM algorithm, and the method comprises the steps: building a millimeter wave radar experiment system, and collecting an intermediate frequency signal of a human body echo; performing data reading and recombination, extracting phase features, and enhancing a target signal through non-coherent accumulation to determine the distance between the chest of the human body and the radar; recovering the phase of the vital sign signal from the incoherent accumulation FFT result by using the linear characteristic of arc tangent demodulation, and performing phase unwrapping and phase difference to obtain optimized phase information; setting a CEEMDAN parameter initialization range and designing a fitness function; a CEEMDAN parameter is optimized by using an HHO algorithm; performing CEEMDAN decomposition by using the optimized parameters, and screening breathing and heartbeat IMF components; and according to the IMF component, obtaining estimated values of the respiratory rate and the heart rate. The method improves the estimation precision of the respiratory rate and the heart rate of the millimeter wave radar in fatigue driving detection.

The invention discloses a millimeter wave radar vital sign monitoring method and a millimeter wave radar vital sign monitoring system based on self-adaptive thoracic cavity positioning, and the method comprises the steps: firstly, collecting a sleep posture image of a target human body; operations such as image preprocessing, attitude skeleton key point estimation, SVM attitude classification and mechanical arm control are carried out to enable the radar to directly face the chest and back of a target human body, then radar echo data are acquired, direct current clutter suppression, constant false alarm detection and pulse compression are carried out to realize data preprocessing, and then the phase at a target range gate is extracted; and sending the vital sign data to a filter to obtain target vital sign information, and finally realizing apnea detection and recording of the target human body according to the vital sign data. According to the method, the posture of the user can be accurately recognized, the mechanical arm can be controlled, and the accuracy and generalization of the millimeter wave radar in the sleep monitoring field are remarkably improved through the method.

The invention relates to an imaging type non-contact gating signal obtaining method for a magnetic resonance system, and belongs to the field of physiological signal detection.The method comprises the steps that pulse and respiration signals of a magnetic resonance detection patient are collected through a camera, and face information of the patient is obtained through a reflector in a magnetic resonance instrument cavity; a living body skin detection technology is utilized to efficiently select a region of interest of the face of a patient, and an IPPG technology is combined to process a video image to obtain a curve of image gray along a time sequence; a motion detection algorithm is used for tracking micro motion of the chest, and stable and accurate breathing signals are extracted by combining frequency selection. By analyzing and quantifying pulse wave signals and delay of respiration signals and electrocardiosignals, the purpose of replacing electrocardiosignal R-peak gating triggering with pulse wave and respiration signal feature triggering is achieved. The invention provides an imaging type non-contact gating technology to solve the problems that traditional ECG and other contact gating technologies are easily affected by a strong static magnetic field, an alternating gradient magnetic field and a radio-frequency pulse electromagnetic field in a magnetic resonance imaging system, and motion artifacts can be generated on motion of fluid such as human blood, breathing and cardiac contraction. Therefore, the quality of a magnetic resonance imaging image is improved.

A CMC airfoil includes core fiber plies that define a radial tube that circumscribes an internal cavity, and skin fiber plies that define an exterior of the airfoil section. There is a filler element in the trailing edge region aft of the internal cavity and sandwiched between the skin fiber plies on the pressure side and the skin fiber plies on the suction side. At least one cooling passage includes at least one inlet orifice section that opens to the internal cavity and extends through the core fiber plies, a radially-elongated multi-dimensional plenum connected with the at least one inlet orifice section, a plurality of outlet orifice sections extending through the trailing edge, and a plurality of intermediate passage sections bound by at least one of the skin plies and the filler element and connecting the radially-elongated multi-dimensional plenum with the plurality of outlet orifice sections.

The invention belongs to the technical field of wireless sensing and artificial intelligence, and discloses a high-robustness non-contact accurate electrocardiogram monitoring method based on a millimeter wave radar. Firstly, the distance and angle of a potential target are obtained through distance fast Fourier transform and digital beam forming technologies, and static background removal and thoracic cavity position detection are achieved in combination with mean filtering and a two-dimensional constant false alarm rate algorithm. And then a continuous phase is extracted by using a differential cross multiplication method, a two-step heartbeat-related phase extraction scheme is designed, body micro-motion and breathing interference are removed by adopting B-spline fitting and differential operation respectively, and a stable heartbeat-related phase signal is obtained. A heart rate-guided adaptive wavelet decomposition method is designed to obtain multiband features, and time-frequency joint features are extracted through a double-branch attention mechanism and a gating fusion part. Finally, the time-frequency joint features are input into an electrocardiosignal time domain reconstruction module based on a TransUNet architecture, high-quality reconstruction of electrocardiosignals is achieved, and the method has the advantages of being non-contact, continuous and convenient.

The invention relates to the technical field of respiratory training, in particular to a gamification guide system for respiratory rehabilitation training, which comprises a data acquisition module, a data analysis module, a training adaptation module, a training guide module and a training adjustment module, the breathing state parameter and the thoracic cavity fluctuation reference value are determined, the data analysis module calculates the breathing abnormity characterization value by determining the breathing difference value and the facial feature fluctuation value, divides the breathing rehabilitation training abnormity tendency and calls the corresponding module, and the training adaptation module adjusts the number of breathing force bearing points. The training guide module determines a stress reference value, a training operation characterization value is calculated by combining the stress reference value with the thoracic cavity fluctuation reference value, and the training adjustment module adjusts the number of times of training based on the training operation characterization value. According to the breathing rehabilitation training method and device, the breathing pre-training is carried out, the appropriate training parameters are determined in a targeted mode, the training content is determined according to the real-time training condition, and the breathing rehabilitation training efficiency is improved.

The invention provides a heart movement monitoring method and device based on a millimeter wave radar. The method comprises the following steps: S1, transmitting a millimeter wave signal to act on a target; s2, capturing a reflected signal reflected back from the target; s3, the reflected signals are processed to determine the area where the target thoracic cavity is located; s4, extracting a body surface mechanical motion signal of the area where the chest is located; s5, redundant signals in the radar scanning space are removed, and heart mechanical motion signals are obtained; s6, constructing a neural network model according to the heart mechanical motion signal; s7, under the guidance of the ECG mode, heart mechanical motion signals are input into the neural network model to obtain a heart mechanical motion signal classification result, and heart motion monitoring is achieved.

The invention provides a heart rate and breath prediction method, a program product, electronic equipment and a storage medium. The method comprises the following steps: acquiring an original signal sequence acquired from a human body through an ultra-wideband radar; determining a thoracic cavity displacement signal according to a mapping relation between the phase change and thoracic cavity displacement; performing multi-domain feature extraction on the thoracic cavity displacement signal to obtain multi-domain features; the multi-domain features comprise time domain features, frequency domain features and time-frequency domain features; on the basis of the multi-domain features, prediction values are obtained through a pre-trained prediction model, and the prediction values comprise the heart rate and the respiratory rate in the future time period. The robustness of the algorithm is enhanced through multi-dimensional feature fusion, high precision is still kept in an electromagnetic interference or multi-target scene, and the reliability of heart rate and respiratory rate prediction in a complex environment is improved. The physical signal advantage of the ultra-wideband radar is complementary with the environmental adaptability of the neural network, and the prediction accuracy of the heart rate and respiratory rate is improved.

The invention belongs to the technical field of remote health monitoring, medical diagnosis and intelligent health equipment, and discloses a non-contact heartbeat monitoring method and system based on millimeter wave signals. According to the non-contact heartbeat monitoring system, heartbeat monitoring is achieved by transmitting and receiving millimeter wave signals reflected from the chest of the human body through the millimeter wave radar technology. Tiny movement generated by cardiac pulsation can cause tiny changes of the chest of the human body, and the changes are shown through reflected millimeter wave signals. By processing and analyzing the reflected signals in real time, the influence of heartbeat on the signals can be accurately extracted, so that the heartbeat frequency and physiological indexes related to the electrocardiogram can be deduced.

The invention relates to the technical field of cardio-pulmonary resuscitation, and particularly discloses a cardio-pulmonary resuscitation pressing mechanism and a pressure monitoring control system thereof.The cardio-pulmonary resuscitation pressing mechanism comprises an acquisition module used for detecting and recording pressing data in the chest pressing process in real time; wherein the pressing data comprises the maximum pressure during chest pressing and the springback pressure during chest springback; the analysis module is used for analyzing the pressing data to obtain an analysis result; and the control module is used for controlling the cardio-pulmonary resuscitation pressing mechanism according to the maximum pressure and the rebound pressure detected in real time. The maximum pressure when the chest is pressed and the rebound pressure when the chest rebounds are monitored, control over the cardio-pulmonary resuscitation pressing mechanism is achieved, it is guaranteed that the chest of a patient is effectively pressed, and the treatment rate of cardio-pulmonary resuscitation is increased; by analyzing the pressing data, whether effective pressing exists or not can be analyzed and monitored, effective data support is provided for rescuers, corresponding measures can be taken conveniently, and the treatment rate is further increased.

The invention provides a control method and device of chest drainage equipment, electronic equipment and a storage medium, according to the method, the drainage amount is timed through a first timer, the air leakage rate is timed through a second timer, and due to the fact that reasonable timing zero clearing and timing pause mechanisms are arranged, the drainage amount is more accurate. The timing can be judged only based on the data fluctuation of the patient under the normal condition, and the interference of abnormal factors such as equipment inclination, drainage tube blockage and drainage bottle falling is eliminated, so that the opportunity of stopping drainage can be judged more accurately.

A delivery system and method for delivering a prosthetic heart valve to the aortic valve annulus via a transaortic approach. The system includes a balloon catheter for delivering a balloon-expandable prosthetic heart valve through an introducer from an approach from outside the patient, through a minimally-invasive opening in the chest cavity through an incision in the aorta, and into the aorta and aortic annulus. The balloon catheter includes a flexible, tapered tip just distal of the balloon to facilitate positioning of the prosthetic heart valve in the proper orientation within the aortic annulus. The prosthetic heart valve may be installed over the existing calcified leaflets, and a pre-dilation valvuloplasty procedure may also be utilized.

A sports rotation swing training system is provided that includes a harness assembly to be worn around the torso of the player that is used with a separate vertical upright structure. The harness assembly comprises a chest / waist band and a generally horizontally projecting stick protruding from the band side. The projecting stick is designed to engage with the separate upright structure upon the player's execution of a swing to provide feedback (auditory, tactile, or electronic) related to the degree of rotation. The chest / waist band can be alternatively positioned by the user at the chest (to practice thoracic rotation) or at the waist (to practice pelvic rotation). In a preferable aspect of the invention, the angle of the projecting stick is adjustable downward from generally parallel to the ground.

The invention discloses an intelligent monitoring device for chest drainage components, which comprises a spectrum analyzer and a drainage bin, a main control chip; an output unit; a power supply unit; a detection area is arranged on one side of the spectrum analyzer, a detection end capable of stretching into the detection area is arranged on one side of the drainage bin, a detection cavity allowing drainage liquid to enter is formed in the detection end, the optical detection module comprises a light source module capable of emitting light beams to the detection cavity and a detector used for receiving reflected light beams, and the detector is connected with the main control chip. A reflective optical detection technology is adopted, monitoring of key components such as hemoglobin, chylomicroparticles and inflammatory factors is realized at the same time, a characteristic absorption spectrum of a specific biomarker can be covered by a multi-wavelength light source module, and concentration change trends of various components are synchronously obtained by combining absorbance dynamic analysis of a main control chip; the limitation of single parameter detection of a traditional device is broken through.

The invention discloses a diaphragm motion state monitoring device and a breathing health assessment method. The device comprises a wearable equipment body, a pair of flexible pressure sensors, a flexible myoelectricity sensor and a main control unit, the wearable equipment body is rectangular, the pair of flexible pressure sensors are arranged on the upper portion and the lower portion of the wearable equipment body, the flexible myoelectricity sensor is arranged between the pair of flexible pressure sensors, and the main control unit is arranged outside the wearable equipment body; the pair of flexible pressure sensors is used for detecting a thoracic cavity pressure signal and an abdominal cavity pressure signal; the flexible myoelectricity sensor is used for detecting diaphragm myoelectricity signals; and the main control unit is used for performing index calculation based on the processed chest pressure signal, abdominal pressure signal and diaphragm electromyographic signal to obtain a plurality of respiratory health indexes, and sending the indexes to the mobile terminal for comparison so as to realize respiratory health assessment. According to the invention, real-time monitoring and evaluation of the breathing health state of the user can be realized.

A breakaway chest drain connector, which includes a first part having an inlet for connecting to an upstream portion of a chest drain tube, a one-way valve and a first flange surrounding the one-way valve; and a second part having an outlet for connecting to a downstream portion of the chest tube, a second flange and a hollow protrusion, the second flange surrounding the hollow protrusion. The second part is connectable to the first part by securing the first flange to the second flange such that the hollow protrusion passes through the one-way valve to form an uninterrupted fluid flow passage from the inlet through the hollow protrusion and the outlet along a longitudinal axis of the connector. The first and second flanges are separable by applying a longitudinal separation force above a defined threshold separation force.

The invention relates to the technical field of side thoracotomy models, and discloses a side thoracotomy model for thoracic surgery and a preparation process thereof. Comprising a lateral thoracotomy model, the interior of the lateral thoracotomy model is movably connected with a rib model, the interior of the rib model is provided with a lung lobe model, and the side surface of the lung lobe model is covered with a thoracic cavity membrane. The stirred and mixed liquid can be injected into a mold to conduct injection molding production on the rib model, when the rib model is cooled through polytetrafluoroethylene and PVC plastic materials, the hardness of the materials is increased, and the materials can be normally used for the rib model; according to the technical scheme, the cut-off rib model can be detached from the interior of the lateral thoracotomy model, the detached rib model is heated at high temperature in a heating mode so that the rib model can be subjected to liquid injection molding again, and therefore the rift valley model can be repeatedly used, and the material use cost is reduced.

The application provides a heart electrophysiology simulation system, comprising: an image acquisition module for acquiring a plurality of thoracic cavity images; the three-dimensional grid reconstruction module is used for obtaining a ventricle three-dimensional grid through a finite element method according to the plurality of thoracic cavity images; the ventricular conduction network construction module is used for generating a ventricular conduction network according to the ventricular three-dimensional grid, the ventricular conduction network comprises a plurality of first grid points, and the geometric position of each first grid point shares the point cloud of the ventricular three-dimensional grid; the electrophysiological parameter simulation module is used for simulating the conduction process of the heart action potential in the ventricle according to the geometric position of the first grid point and electrophysiological parameters, and the electrophysiological parameters comprise cell level parameters and tissue level parameters; and the dynamic simulation module is used for simulating the cardiac electric signal according to the conduction process of the cardiac action potential in the ventricle to obtain a dynamic simulation result.

The invention relates to the technical field of biological radar signal processing, in particular to an FMCW radar-based heart beat interval estimation method, which comprises the following steps of: S1, converting a chest vibration echo phase time sequence obtained by irradiating a chest area of a monitored object by an FMCW radar into an acceleration time sequence by using a second-order time derivative; s2, dynamically mapping the center frequency and the wavelet order in a preset frequency analysis interval, constructing a self-adaptive wavelet dictionary, then executing multi-order wavelet time domain convolution operation on the acceleration time sequence by using the dictionary, and aggregating time-frequency energy distribution to generate a time-frequency energy diagram; and S3, performing a deconvolution operation reconstruction strategy based on an energy-guided multi-stage time-frequency feature screening technology and wavelet function conjugation, generating an approximate time domain signal of heart beat vibration, and completing heart beat information inversion. According to the method, the accuracy and robustness of IBI extraction can be effectively improved under the condition of low signal-to-noise ratio, so that stable monitoring of light and moderate HRV (heart rate variability) is supported.

The invention discloses a closed thoracic drainage bottle facilitating drainage, and belongs to the field of medical instruments. The device comprises a water seal bottle, a negative pressure adjusting bottle, a water seal pipe and a chest drainage pipe, and is additionally provided with an adjusting assembly and a liquid collecting assembly. The liquid collecting assembly comprises a first liquid collecting bottle and a second liquid collecting bottle which are symmetrical; the adjusting assembly comprises a fixing plate and four sets of two-way valves, the fixing plate is provided with symmetrical connectors which are connected with the liquid collecting bottle and the chest drainage tube respectively, and the two forked ends of the water sealing tube penetrate through the corresponding two-way valve connectors and stretch into the liquid collecting bottle. Seamless switching of the double liquid collection bottles can be achieved by controlling opening and closing of different two-way valves, and drainage does not need to be interrupted when the liquid collection bottles are replaced. The device is easy and convenient to operate, the drainage efficiency is improved, and drainage continuity and safety are guaranteed.

The invention belongs to the technical field of chest drainage auxiliary equipment, and discloses a fixing device for preventing a chest drainage tube from falling off after a thoracoscope operation, the fixing device comprises a fixing seat, a winding center shaft is arranged in the fixing seat, an adhesive tape is wound outside the winding center shaft, and the free end of the adhesive tape penetrates through the fixing seat and extends to the outer side. When a user has a large amount of sweat to cause viscosity failure of the adhesive tape, the clamping assembly is unscrewed, the adhesive tape body at the front end is torn off through the separation notch, the adhesive tape body at the front end is discarded, and a new adhesive tape body continues to be pulled outwards, so that pasting treatment after quick replacement can be carried out, the whole fixing device connected to the outer side of the drainage tube does not need to be replaced, and operation is convenient. The practical switching operation of a new adhesive tape body is simple, the quick replacement treatment can be realized in the skin surface pasting and fixing period aiming at obese people easy to sweat and the condition that frequent replacement is needed, the whole fixing device does not need to be discarded, and the use effect is good.

Various embodiments include methods for generating patient-specific heart and thorax models using anatomical landmarks and segmentation data, optimized through the application of trained neural network models. Three-dimensional medical imaging data may be processed by a trained neural network to automatically segment and isolate the heart, blood cavities, and thorax to extract feature maps from the segmented images. Anatomical landmarks, such as the heart apex and valve centers, are identified and the alignment of heart axes is verified. Reference heart and thorax models are selected and adapted to fit the patient-specific landmarks through scaling, translating, and rotating. Best adapted heart and thorax models may then be used for conducting one or more medical procedures. Neural network models, trained on historical patient data sets, may be refined through machine learning from new patient data, thereby improving accuracy.

A mobile bodily imaging system for determination of a lung fluid content is provided, comprising: a stepped-frequency radar generator that generates one or more tone and transmits the one or more tone into a chest of the patient; a sparse deconvolution inversion algorithm to detect reflection points indicating tissue interfaces within the patient and create a sparsity-based image; an initial model generated using Markov Chain Monte Carlo or Deep Neural Network estimates; and a final model generated using a neural renderer, wherein the neural renderer is provided with confirmed data that permits the neural renderer to predict the form of the reflection points, wherein the neural renderer creates an image that is compared to the sparsity based image, and wherein the neural renderer creates refined images in a number of iterations and / or based upon a predetermined threshold of a difference between the refined neural renderer image and the sparsity-based image.

The invention relates to the technical field of medical information analysis, in particular to a thoracic surgery postoperative complication assessment method and system based on multi-dimensional analysis, and the method comprises the following steps: S1, obtaining a postoperative multi-dimensional monitoring data set; s2, performing standardized preprocessing on the multi-dimensional monitoring data set to generate standardized monitoring data; s3, classifying and integrating the standardized monitoring data into physiological function data, drainage feature data and motion perception data according to data types; s4, chest dynamic pressure change analysis is carried out, and pressure gradient change parameters are calculated; s5, obtaining an abnormal metabolite ratio index; and S6, generating a complication risk assessment report. According to the method, through standardized integration and weighted analysis of the multi-dimensional postoperative monitoring data, accurate quantitative evaluation and graded output of the thoracic surgery postoperative complication risk are realized, and the reliability of early warning and the timeliness of clinical intervention are improved.

The chest drainage device comprises a collecting container and a main machine, the collecting container comprises a drainage tube, a machine box and a connecting piece, the machine box and the connecting piece are connected, the machine box is provided with a hydrops cavity communicated with the drainage tube, and the connecting piece is provided with a pump air exhaust channel communicated with the hydrops cavity; the main machine comprises a negative pressure source and a one-way valve, the negative pressure source is communicated with the pump air suction channel through a first pipeline, the negative pressure source can suck to enable the liquid accumulation cavity to be in negative pressure, and the one-way valve is arranged on the first pipeline and used for enabling air in the first pipeline to flow to the negative pressure source in a one-way mode. When the main machine is powered off, the negative pressure source loses power, at the moment, the one-way valve enables the pump exhaust channel to be closed and not to be communicated with the outside, even if the chest drainage device forms a closed container, the chest drainage device can continue drainage in a gravity type drainage mode, and residual liquid and residual gas in the chest of a patient can still flow into the hydrops cavity through the drainage tube.

The invention discloses a back recognition method and device based on a human body image, electronic equipment, a storage medium and a massage robot. The method comprises the steps of determining human body key points in a human body image, and determining a human body region in the human body image according to the human body key points; determining a shoulder boundary point according to the shoulder key point and a first connecting line of the neck key point and the hip joint key point; determining an armpit point according to an included angle formed between the shoulder key point and a connecting line between the elbow key point and the hipbone key point and a distance between the shoulder key point and the hipbone key point; determining a chest point and a hip point according to the shoulder key points, the hipbone key points, the armpit points and the first connecting line; and determining a back area in the human body area according to the shoulder boundary point, the armpit point, the chest point and the hip point. By using the scheme provided by the invention, the back area can be simply and efficiently determined in the human body image, and the determined back area is high in precision.