39 results about "Out patients" patented technology

The invention relates to the technical field of biomedicine, in particular to an internet-of-things-based digitized management method for graded nursing of an intensive care unit. The method comprises the following steps that heterogeneous data of a patient are collected in real time through nursing monitoring equipment, and a principle physiological data flow is obtained; performing comprehensive physiological index calculation on the principle physiological data flow to obtain a comprehensive physiological index; carrying out individualized physiological index prediction according to the comprehensive physiological index, and carrying out patient condition deterioration probability prediction to obtain condition deterioration probability data; performing nursing level demand prediction according to the individualized physiological index prediction result to obtain nursing level demand probability data; and performing illness state trend prediction vector generation on the illness state deterioration probability data and the nursing level demand probability data to obtain an illness state trend prediction vector. According to the invention, through more accurate illness state trend prediction and graded early warning, medical workers are better assisted to carry out graded nursing on patients, and the management level of an intensive care unit is improved.

The invention relates to the technical field of resource allocation management, in particular to a first-aid medical resource allocation management method and system, a medium and a product, and the method comprises the steps: obtaining call-for-help appeal information, and determining first-aid preparation information based on the call-for-help appeal information, the first-aid preparation information comprising a first-aid route and first-aid vehicle-mounted resources; carrying out patient receiving and transporting based on the first-aid preparation information, and collecting real-time road condition information, patient sign information and patient medical history information in the receiving and transporting process; adjusting a first-aid route based on the real-time road condition information and the physical sign information of the patient, and recording receiving and transporting driving information; real-time hospital rescue resource information is acquired, and on-site medical resources and resource preparation time are determined based on the real-time hospital rescue resource information, the patient sign information and the patient medical history information; on-site preparation information is determined based on the on-site medical resources and the resource preparation time. According to the invention, rationality and accuracy in a first-aid medical resource allocation process can be improved, so that a patient can be ensured to be timely and effectively rescued.

The invention provides a time sequence-based blood transfusion prediction method for postoperative blood conditions of patients, which belongs to the technical field of medical treatment, and comprises the following steps of: firstly, collecting basic information, past history, operation diagnosis information, blood information and curve information of a plurality of patients, screening out patients with normal data, and determining whether the patients are normal or not; the method comprises the following steps: firstly, fitting a postoperative hb recovery curve model of normal people, and then, combining the basic information and blood information of the patient collected before after each patient; according to the method, the evaluation of the postoperative condition of the patient is more targeted and accurate through the calculation of the deviation degree, a doctor can be helped to more accurately judge the postoperative condition of the patient, the risk of misdiagnosis or missed diagnosis is reduced, and more information can be provided to help the doctor to formulate a personalized treatment scheme; and meanwhile, manual participation is effectively reduced, the working efficiency is improved, the concept of the deviation degree also provides a new research view angle for researchers, and the method has wide application prospects.

The invention provides a control method and system for interaction between emergency simulation training and a real respirator, and the method comprises the steps: collecting control parameters of the respirator, and carrying out the preprocessing of the control parameters, and obtaining an equipment parameter vector; calculating a physiological response state based on the device parameter vector; the physiological response state comprises alveolar pressure and oxygenation estimation; based on the physiological response state, performing quantitative judgment on the disease stage of the patient to obtain a current disease stage, and executing a corresponding evolution instruction set; a medical specification operation reference table is constructed, a target interval is extracted from the current illness state stage and the evolution instruction set, the matching degree of the target interval and a reference interval is calculated, and the reference interval is extracted from the medical specification operation reference table; determining whether to continue evolution, enter relieving or mark training is completed based on the matching degree; the breathing gas of the patient is simulated and restored through the gas compressor and the gas mixing device and is conveyed to the real breathing machine.

The present invention relates to a real-time surgical registration method for approximating the respiratory state, comprising: importing a CT sequence acquired during surgery, extracting the skin contour of the patient's upper surface and reconstructing it into a three-dimensional point set H. Using a depth camera to acquire and segment the three-dimensional point set V of the patient's skin surface in real time. Aligning the source point set H to the target point set V in real time and feeding back the error of each alignment. According to the error data, an error curve of the alignment error and the progress time is drawn in real time. The execution is continued until the error curve of at least one respiratory cycle is acquired and drawn. Observe the trend of the alignment curve, and when the error approaches the minimum value, control the patient to slow down the breathing, and control the patient to hold the breath near the minimum value of the alignment error. Apply the spatial transformation relationship obtained by the point set alignment at this time to the source point set H to realize surgical registration. The present invention effectively approximates the respiratory state when the CT scan is taken before surgery, does not need to stick or tie the detection object on the patient's body surface, and is a contactless and more accurate surgical registration method.

The utility model belongs to the technical field of medical instruments, and particularly relates to a breathing machine. The breathing machine comprises a breathing machine shell, a breathing module, a sputum excretion module, a main board and a lung sound detection module, a cavity is formed in the breathing machine shell, the breathing module, the sputum excretion module and the main board are arranged in the cavity, and the breathing module is used for assisting a patient in breathing; the lung sound detection module comprises a detection probe and a plug connector, an interface is formed in the respirator shell, the plug connector is plugged in the interface, the detection probe is electrically connected with the plug connector, the detection probe is used for collecting lung sound signals of a human body, and the mainboard can control the sputum excretion module to assist a patient in sputum excretion according to the lung sound signals. According to the sputum excretion device, the respiratory resistance and the sputum deposition condition of a patient can be judged by collecting lung sound signals through the detection probe, the sputum excretion module is started according to the sputum deposition condition to assist the patient in sputum excretion, sputum excretion can be achieved without pulling out a respiratory pipeline of the patient, and secondary infection of the patient is avoided.

The utility model discloses a spine patient dress which is designed into a front piece with sleeves and a rear piece, the front piece with the sleeves is detachably connected with the rear piece of an upper garment, the spine patient dress is easy to wear and take off due to the split design, the nursing burden is relieved, and the rear piece can be opened for wound nursing by directly detaching a first connecting piece. After nursing is completed, the first connecting pieces can be connected, the comfort of the patient is improved, and the back is prevented from catching a cold; a lead wire outlet is formed in the front piece with the sleeves, a wire collecting part is arranged on the front piece with the sleeves and covers the lead wire outlet, lead wires for electrocardiograph monitoring penetrate out of the patient clothes from the lead wire outlet, the lead wires are restrained, stored and arranged along the shape of the wire collecting part, excessive lead wires are prevented from being scattered on the body of a patient in a disordered mode, the lead wires are prevented from making contact with the skin of the patient, and the patient is prevented from suffering from electrocardiograph monitoring. And the patient does not need to worry about pressing the lead wire when changing the body position.

The invention discloses a method for accelerating rehabilitation training based on compound movement after a colorectal cancer operation, and particularly relates to the technical field of rehabilitation after the colorectal cancer operation. The method comprises the following steps: S1, screening and grouping patients: selecting patients with colorectal cancer which are subjected to surgical treatment and voluntarily participate, screening out patients meeting specific conditions, and randomly dividing the patients into a movement intervention group and a conventional nursing group; and further randomly dividing the motion intervention group into a plurality of small groups, and respectively carrying out composite motion of different combinations. By combining aerobic exercise (gradually increasing walking distance after operation) with specific part exercise (ankle pump exercise and Kegel exercise), the first-time anus exhaust time of an exercise intervention group is advanced by 12.3 hours, the defecation time is shortened by 9.8 hours, the intestinal obstruction occurrence rate is reduced by 67%, meanwhile, the walking distance is increased by 25% in 6 minutes, gastrointestinal motility and body activity recovery are remarkably promoted, and the treatment effect is good. The effect of accelerating the recovery of the gastrointestinal function postoperative body function after the colorectal cancer operation is achieved.

A device (100) for positioning a patient (102) at the edge of a patient bed (106) is described, wherein the device (100) has means (108) for reversibly detachable attachment of the device (100) to a torso (110) and / or to limbs of the patient (102), wherein the device (100) extends at least partially around a torso circumference of the patient (102) and projects beyond the torso (110) of the patient (102) in a circumferential direction at least in a dorsal region of the patient (102) and / or in a dextral and / or sinistral torso region, in particular in the region of the abdominal wall muscles, in order to position the patient (102) in such a way as to prevent it from falling over.

The application provides an automatic emergency chest X-ray film triage system, comprising: an image screening module receiving a DICOM image of a patient, defining the DICOM image meeting a preset condition as a first image; a segmentation data acquisition module inputting the first image into a plurality of deep learning models for image segmentation, respectively obtaining corresponding segmentation data; each deep learning model is trained according to a chest anatomical site; a qualitative judgment module composed of a plurality of triage units, receiving the segmentation data, each triage unit determining the segmentation data matched therewith, outputting corresponding qualitative judgment data based on the segmentation data; and a structured report module automatically outputting final diagnosis data based on the qualitative judgment data. The application also discloses an automatic emergency chest X-ray film triage method. The application can screen out patients with potential risks as soon as the chest X-ray film is taken, mark abnormal areas, prompt doctors to make a diagnosis quickly, and treat the patients in time.

The invention discloses an acute necrotizing pancreatitis severe prediction model construction method based on a machine learning method. The acute necrotizing pancreatitis severe prediction model construction method comprises the following steps: S1, collecting patient data based on an inclusion standard and an exclusion standard; s2, data preprocessing and feature selection; s3, obtaining an optimal differential diagnosis prediction model in combination with radiomics characteristics and a plurality of machine learning algorithms; s4, obtaining an evaluation index through prediction performance comparison; and S5, constructing a pancreas model, a pancreas surrounding model and a combination model, and producing an ROC curve interpretation result. The present invention develops and verifies a machine learning model for distinguishing between severe and moderate ANPs (i.e., ANSP and ANMSP). These models will be based on radiomics features extracted from pancreatic parenchyma portal vein phase CECT images, peripancreatic necrotic lesions, and combinations thereof. By evaluating the diagnostic performance of the models, early recognition of disease severity is realized, and support is provided for clinical decisions related to treatment.

The invention relates to an EICU transfer-out patient staging rehabilitation evaluation system, which performs trend analysis on continuous physiological parameters when a patient is transferred out of an EICU, judges whether the patient really enters a rehabilitation feasible window by identifying a dynamic stable interval of an index, and dynamically adjusts a staging evaluation starting point based on a recovery trend drift rule. The misjudgment risk of a false positive stable state is eliminated; dividing the functional state of the patient into a plurality of functional clusters, and dynamically judging whether the plurality of clusters are converted from an intervention dependence state to an autonomous maintenance state or not; recording a recovery rate gain generated by each type of intervention measures to the target function cluster, and reversely correcting a current stage division result when monitoring an intervention effect decreasing or reversing trend, so as to form a dynamic closed-loop logic among intervention, response and stages; high-frequency small-amplitude abnormal changes in the low-intensity fluctuation physiological signals of the patient are detected, and the latent rehabilitation decline trend is recognized by setting the relation between a continuous fluctuation threshold value and response stability changes after intervention.

A life information processing system and a life information processing method, the system including a memory, a processor, and a display, the processor performing the following operations: acquiring a plurality of types of patient data of a patient; analyzing the patient data to obtain one or more analysis results; determining a patient state of the patient and a physiological cause causing the patient state according to the one or more analysis results; displaying patient state prompt information representing the patient state and displaying physiological reason prompt information representing the physiological reason. The system prompts the physiological reasons causing the patient state while outputting the patient state, can help medical staff to know the physical condition of the patient more deeply, and helps the medical staff to perform diagnosis or treatment better.

The present invention belongs to the field of biomedicine and specifically relates to a 5hmC molecular marker for predicting treatment sensitivity for sudden deafness. The present invention provides a 5hmC molecular marker for predicting treatment sensitivity for sudden deafness, comprising genes encoding the proteins CDK5R1, TAF6L, MFSD9, CDH7, PLCH1, MARCHF7, MCAT, MFNG, ATP9B, EGF, and EPHX2. The 5hmC molecular marker provided by the present invention can effectively predict treatment sensitivity for sudden deafness, with an AUC as high as 0.994. Using this molecular marker, treatment outcomes can be predicted before treatment, screening out patients with poor or ineffective treatment outcomes, allowing for preemptive comprehensive treatment and improving patient prognosis.

The invention discloses a health data modeling analysis method and system based on AI assistance, relates to the field of medical treatment, and solves the problem that an existing health data modeling analysis method is poor in analysis effect, and the method comprises the steps: S1, obtaining medical examination items accepted by a target analysis patient in a patient illness state collection period, s2, acquiring a plurality of patients to be matched with a model through the patient condition acquisition data, respectively acquiring medical examination result matching degrees between the patients to be matched with the model and the target analysis patient, screening out patients with consistent diseases, and acquiring a medical examination result matching result of the patients to be matched with the model and the target analysis patient according to the medical examination result matching degree; and S3, performing real-time health state analysis on the target analysis patient according to the model patient matching data, and issuing health early warning according to an analysis result, so that the pertinence and accuracy of the health data modeling analysis method can be improved.

This utility model discloses a bedridden patient position sensing device, relating to the field of medical care technology. It includes: a mattress with upward bulges on both sides near the bed edge; a frame surrounding the bottom of the mattress; sensors evenly distributed on the mattress, with the sensor located at the bed edge below the bulges and above the frame, and slidably mounted; and a rocker arm rotatably mounted on the frame, with the rotation point located between the two ends of the rocker arm. When the patient moves to the bed edge and is about to fall, the rocker arm rotates, and a pressure plate presses one end of the rocker arm, causing the other end to tilt upward. Simultaneously, the sensor moves upward, allowing the rocker arm to quickly approach the sensor. Only a small force is needed to trigger the sensor, shortening the sensing distance between the rocker arm and the sensor, enabling rapid detection of whether the patient is about to fall off the bed, thus better ensuring the patient's safety.

The invention relates to the field of medical care, and discloses a patient model construction method, device and system, and the method comprises the following steps: a cloud data server obtains basic data in a model construction task, and obtains a basic model corresponding to the basic data in the cloud data server according to the basic data; a construction target in the model construction task is obtained, corresponding construction target basic data in the basic model corresponding to the basic data are obtained according to the construction target, and the model construction module generates a construction target model construction container and sends the construction target basic model data to the construction target model construction container; and completing the model construction of the construction target, and carrying out patient simulation and testing through the constructed model. A more accurate patient model is constructed by integrating basic information, physical data and physiological data of a patient and combining advanced algorithms and technologies. And a more reliable basis is provided for medical research and treatment decision.

The utility model relates to the technical field of colonoscopy nursing, in particular to a nursing device for colonoscopy, which comprises a bottom pad sheet, an arc-shaped groove arranged on the upper surface of the bottom pad sheet close to the left side, a water absorption pad arranged in the arc-shaped groove, a body position layer arranged on the upper surface of the bottom pad sheet close to the corner of the right upper end, and an isolation screen arranged in the middle of the upper surface of the bottom pad sheet. A blind pad towel is arranged at the right end of the isolation screen, a circular groove is formed in the front end face of the isolation screen, and a collecting bag is arranged in the circular groove; according to the nursing device for colonoscopy, the isolation screen with a blind pad towel is arranged to be matched with the bottom pad sheet, the isolation screen is bonded and combined with one side of the bottom pad end through a fixing belt, double layers are used for protection matching of private parts of a patient, a water absorption pad is installed to adsorb liquid dung sprayed out during patient examination, and the pollution influence on the examination environment is reduced; under the cooperation of the collecting bag, the colonoscope penetrates through the round hole and penetrates out of the collecting opening, the collecting opening is aligned with the anus of a patient, sprayed liquid dung can be collected easily, and the influence on environmental pollution is reduced.

The invention provides a detection device and a detection method. The detection device comprises a fixing part, a detection assembly, a control module and a timing module, and the detection assembly can press a to-be-detected part of a patient according to preset pressure and preset time to form a recess; meanwhile, the control module cooperates with the timing module and the detection assembly to obtain data of the recess recovery speed of the to-be-detected part of the patient. Therefore, the detection device provided by the embodiment of the invention can execute the same pressing force and pressing time in each detection process of each patient so as to ensure the accuracy of a detection result; the detection device provided by the embodiment of the invention can also obtain the data of the recess recovery speed of the to-be-detected part of the patient, so that the medical personnel can evaluate the edema degree of the patient.

The application relates to the field of medical imaging technology and discloses a method for automatically selecting a scanning protocol and correcting scanning parameters in CT examination, which comprises the following steps: step 1, a paper examination application form is photographed, and a patient ID, an examination item and a submission reason are recognized according to the photographed paper examination application form; step 2, a scanning protocol is matched according to the examination item as a current scanning protocol; step 3, a previous examination of the patient is found from an image archiving and communication system, and scanning parameters of the previous examination are acquired; step 4, scanning parameters of the current scanning protocol are weighted and estimated according to the scanning parameters of the previous examination, and the scanning parameters of the current scanning protocol are updated according to the weighted and estimated scanning parameters; and step 5, a patient is subjected to CT scanning according to the updated scanning parameters of the current scanning protocol. By using the application scheme, the working strength and complexity of technicians can be reduced, and the overall efficiency and quality of CT examination can be improved.

The invention relates to the field of hospital information management, in particular to a hospital information management method and device, equipment and a storage medium. The method comprises the following steps: collecting user registration information based on an online platform to obtain a structured registration label; extracting a first offline registration queue based on an offline hospital system; carrying out patient waiting time calculation on the first offline registration queue, and constructing a real-time waiting time axis; merging the structured registration tag into the first offline registration queue to generate a second offline registration queue; calculating waiting time according to the second offline registration queue, and generating predicted waiting duration of the online user; and based on the structured registration labels, performing recommendation analysis on the doctors of the same type and calculation of waiting duration of the doctors one by one, and generating waiting duration of a plurality of recommended doctors. According to the invention, the doctor-seeing experience of the user and the hospital resource utilization efficiency are improved, the waiting time of the patient is reduced, and queuing management is improved.

A life information processing system and a life information processing method, the system including a memory, a processor, and a display, the processor performing the following operations: acquiring a plurality of types of patient data of a patient; analyzing the patient data to determine a patient state of the patient; analyzing the patient data to determine one or more target rules satisfied by the patient data; and controlling the display to display patient state prompt information representing the patient state, and displaying at least one part of the one or more target rules. The system provides explanatory description while outputting the state of the patient, can improve the reliability of the state of the patient, and helps medical staff to better perform diagnosis or treatment.

The present application discloses a method for predicting the progression-free survival of patients with intermediate and advanced HCC after triple immunotherapy. A personalized tumor mutation map is constructed from the sequencing data of the tumor tissues and paired leukocytes of patients with intermediate and advanced HCC. Based on the tumor mutation information in the personalized tumor mutation map, a gene risk score is calculated using a first model. Subsequently, with the gene risk score and clinical variables as independent variables, a total risk score is calculated using a second model. Risk stratification is performed according to the cut-off value of the total risk score to predict the probability of PFS at different times for patients receiving triple immunotherapy. The present invention can effectively predict the progression-free survival of patients with intermediate and advanced hepatocellular carcinoma after triple immunotherapy, thereby screening out patients who may potentially benefit.

The application discloses a multifunctional bed nursing shifting device, and belongs to the technical field of health care assistive devices, which comprises a frame, can assist the bedridden patient in turning over, reduces the burden of nursing staff, reduces the risk of secondary injury caused by improper turning over, adjusts the position of the auxiliary straight plate to be flush with the bed edge, prevents the patient from falling off the bed, facilitates the removal of the patient from the bed, realizes semi-automatic operation through mechanical assistance, significantly reduces the physical consumption and operation difficulty of the nursing staff, helps to improve the overall nursing quality and efficiency, and through the cooperation of the supporting unit, the linkage unit and the position adjusting unit, can be flexibly converted between the wheelchair mode and the turning over assisting mode, each supporting plate can be horizontally unfolded to form a turning over assisting straight plate, or can be folded and combined into a wheelchair seat, greatly improving the applicability and space utilization efficiency of the equipment, and adapting to different use scenarios.

The invention provides a method for detecting minimal residual focuses of esophageal squamous cell carcinoma patients in peripheral blood cfDNA through individualized customization of a panel to predict the pathological reaction of new adjuvant therapy and the curative effect of operative therapy, so that patients avoiding esophageal resection and patients needing further adjuvant therapy are screened out. Comprising the following steps: (1) collecting peripheral blood of a patient before neoadjuvant therapy, after neoadjuvant therapy and after an operation, extracting cfDNA, and performing library construction; (2) performing exon sequencing on tumor puncture tissues and white blood cells of the esophageal squamous carcinoma patient, selecting sites and designing primers according to tumor specific mutation, and designing an individualized customized panel; (3) performing targeted amplification on the library in the step (1) by utilizing the individualized customized panel in the step (2), and sequencing; and (4) carrying out bioinformatics analysis on a sequencing result in the step (3), then judging whether mutation is true or false, judging a tiny residual focus state of a sample, and calculating a ctDNA proportion of blood so as to predict a pathological reaction after new adjuvant therapy of the ESCC patient or an effect after operative therapy.

The invention relates to the technical field of medical images, and discloses a method for automatically selecting a scanning protocol and correcting scanning parameters in CT (Computed Tomography) examination, which comprises the following steps of: 1, shooting a paper examination application form, and identifying a patient ID (Identity), an examination item and an examination reason according to the shot paper examination application form; step 2, matching a scanning protocol as a current scanning protocol according to the inspection item; step 3, finding past examinations of the patient from the image filing and communication system, and obtaining scanning parameters of the past examinations; step 4, performing weighted estimation on the scanning parameters of the current scanning protocol according to the scanning parameters checked previously, and updating the scanning parameters of the current scanning protocol according to the scanning parameters subjected to weighted estimation; and 5, performing CT scanning on the patient according to the updated scanning parameters of the current scanning protocol. By means of the scheme, the working intensity and complexity of technicians can be reduced, and the overall efficiency and quality of CT examination are improved.

The invention provides a service robot inspection system for hospital night on-duty, relates to the field of safety inspection of patient wards, and aims to solve the problem that nurse resources are wasted due to the fact that nurses and nurses which are insufficient in hospital on-duty personnel, prone to fatigue and high in specialty apply time to transactional and repetitive work in the on-duty period. The hospital night on-duty service robot inspection system is specially designed according to the situation that the patient ward safety problem frequently occurs, so that medical staff can be assisted by a medical care on-duty service robot to regularly inspect the ward and patient safety, and the abnormal or emergency situation of the patient can be intelligently recognized; according to the method, the dangerous states or hidden dangers of the floors of the hospital are identified and pre-warned, and related persons in charge are timely notified to respond, so that on one hand, medical staff are liberated from conventional, simple and repetitive work, on the other hand, the human care of the hospital to patients and family members is enhanced, and the medical care quality is improved.

The utility model relates to the technical field of fetching bags, in particular to a medical exhaust type fetching bag which comprises an outer sleeve, one end of the outer sleeve is fixedly connected with a collection assisting device, the end, away from the collection assisting device, of the outer sleeve is fixedly connected with a handle, a fetching clamp is inserted into the outer sleeve, and the fetching clamp is connected with the handle. A handle is fixedly connected to one end of the taking-out clamp, a bag body is inserted into the outer sleeve, a pull rope is fixedly connected to one end of the bag body, a pull ring is fixedly connected to the end, away from the bag body, of the pull rope, four exhaust holes are formed in the surface of the bag body, the number of the exhaust holes is four, and the four exhaust holes are arranged in a mirror image mode. A kidney-shaped hole is formed in the surface of the bag body, and one end of the taking-out clamp is inserted into the kidney-shaped hole. The two exhaust holes are formed in the two sides of the lower edge of the bag opening of the fetching bag, air in the bag body can be fully exhausted, the fetching bag can be taken out of the body of a patient with the minimum size as much as possible, and therefore the operation pressure of a doctor is reduced.

The utility model discloses a portable pressure injury risk assessment device which comprises a shell, a connecting hole is formed in the surface of the shell, an assessment mechanism is inserted into the connecting hole, and the assessment mechanism comprises a connecting rod, a display panel, an indicating gear, a fastening nut, a damping rotating shaft A and a damping rotating shaft B. According to the portable pressure injury risk assessment device, through arrangement of the assessment mechanism and the scoring area, when a patient is assessed, a damping rotating shaft B rotationally connected with the surface of a connecting rod is rotated according to a corresponding numerical value of the patient in the scoring area, and the damping rotating shaft B can drive six assessment areas to rotate on the connecting rod; the device is limited and fixed through the six damping rotating shafts A which are arranged on the surface of the connecting rod and are matched with the damping rotating shafts B, the evaluation process can be completed by finding the numerical value of a patient in the scoring area in the evaluation area, compared with a traditional mode that limiting is conducted through friction force, generated abrasion is smaller, and the service life of the device is prolonged.

The invention discloses a mark-point-free radiotherapy positioning reset method and device, and the method comprises the steps: obtaining a first image when a treatment bed carrying a patient moves to a positioning scanning position, and enabling the first image to comprise a mark line in a bed board; when the treatment couch carrying the patient moves to a reset scanning position, a second image is obtained, and the second image comprises a marking line in the couch board; comparing a coordinate system during positioning scanning with the first image, a coordinate system during resetting scanning and the second image, and obtaining the change of the body position of the patient according to a marking line in the bed board; and when the change falls into a threshold range, determining that the positioning and resetting are completed. According to the embodiment of the invention, the problems of high technical requirements, low speed and low accuracy of positioning and resetting in related technologies are solved.