466 results about "Hemoglobin H" patented technology

The invention discloses a hemoglobin-resistant Taq DNA polymerase mutant and a construction method thereof, and relates to the field of biology, and the hemoglobin-resistant Taq DNA polymerase mutant is characterized in that a nucleotide sequence for coding the Taq DNA polymerase is shown as SEQ ID NO.1, and the mutant comprises at least one mutation or all mutations selected from S623D and E721A sites. On the basis of natural Taq DNA polymerase, the molecular structure of the Taq DNA polymerase is modified through rational design and combination with a site-specific mutagenesis biotechnology, so that the Taq DNA polymerase mutant is more suitable for PCR amplification of samples containing hemoglobin and the like than a wild type, and the result judgment accuracy of a sample containing a hemoglobin inhibitor is more facilitated.

The invention provides an exosome, a mesenchymal stem cell and application of the exosome and the mesenchymal stem cell in treatment of type 2 diabetes mellitus, and belongs to the technical field of biological medicine. The exosome secreted by the umbilical cord mesenchymal stem cells of the composite pretreatment group is used for treating the type 2 diabetes mellitus, and the obvious advantages are shown. Compared with a model control group, the exosome has the advantages that the glucose tolerance of diabetic rats treated by the exosome is obviously improved, the blood glucose value is reduced by about 47.5% within 120 minutes, the area under a blood glucose curve (AUC) is reduced by about 50.5%, the serum insulin is increased by about 147.7%, insulin secretion is effectively promoted, the glycosylated hemoglobin level is obviously reduced, and the long-term blood glucose control effect is good. By integrating various indexes, the exosome obtained by the composite pretreatment scheme provided by the invention has a remarkable effect of improving the illness state of rats with type 2 diabetes mellitus, provides a new effective strategy for treatment of type 2 diabetes mellitus, and shows a good application prospect.

The invention discloses an abdominal aortic aneurysm progress prediction method and system based on cross-modal knowledge distillation. The method comprises the following steps: collecting blood of a target object; the method comprises the following steps: detecting the concentration of blood protein fingerprint markers of blood of a target object, wherein the blood protein fingerprint markers comprise matrix metalloproteinase-12, calcitonin-related polypeptide-alpha, uromodulin, nerve injury induction protein-1, glycosylated hemoglobin A1c and fibroblast growth factor-9; carrying out abdominal aortic aneurysm risk calculation by calling Student-net of cross-modal knowledge distillation based on the blood protein fingerprint marker concentration; wherein the input of the Teaser-net of the cross-modal knowledge distillation comprises a CTA image feature and a pathological section feature, and a category probability vector output by the Student-net is aligned with a category probability vector output by the Teaser-net; and outputting the risk level of the abdominal aortic aneurysm and the probability of occurrence / progress / rupture of the abdominal aortic aneurysm in the preset year. And the development of the aortic aneurysm disease is accurately predicted.

The invention discloses a diabetic complication monitoring auxiliary system and method in the technical field of complication monitoring, and the system comprises a data collection module which is used for obtaining local multi-modal data of a user in real time; the federal learning module is used for integrating the local multi-modal data of the user with other anonymous medical databases through a distributed architecture and constructing a multi-family cross-institution complication prediction model; the causal reasoning module is used for analyzing the causal relationship among the blood glucose fluctuation, the glycosylated hemoglobin and the target complication based on an anti-factual causal reasoning algorithm, and outputting a causal effect value to correct the prediction deviation; the prediction module is used for generating occurrence probabilities of future specific complications based on the causal effect values and risk scores output by the complication prediction model, and classifying the occurrence probabilities according to risk levels; and the early warning module is used for generating personalized intervention suggestions according to the risk levels. According to the scheme, the data leakage risk in the data acquisition process is reduced through the federal learning distributed architecture, and the prediction reliability is improved.

The invention relates to the technical field of peritoneal drainage, in particular to a peritoneal drainage system based on hemoglobin real-time monitoring and intelligent early warning. According to the technical scheme, the device comprises an abdominal cavity drainage tube, an optical sensing module, a microprocessor module and a wireless communication module, wherein the microprocessor module is configured to perform moving average filtering and dynamic trend modeling on hemoglobin concentration data; and triggering early warning according to a preset multi-level alarm condition. The hemoglobin concentration in the peritoneal drainage liquid is accurately monitored in real time, intelligent early warning and a personalized response mechanism are combined, the limitation of traditional manual observation is broken through, the timeliness and accuracy of bleeding risk identification are remarkably improved, the infection risk is reduced through the closed design, the medical care working process is optimized through the system integration capacity, and the medical care efficiency is improved. Data sharing and remote cooperation are achieved, intervention time windows are shortened, patient prognosis is improved, nursing resources can be released, medical quality is improved, and a comprehensive and efficient solution is provided for postoperative monitoring.

The invention relates to the technical field of beauty instrument control methods, in particular to a beauty instrument control method and system. According to the method, skin optical characteristics, biological impedance parameters and environmental parameters are acquired through multi-dimensional data acquisition, and a characteristic data set containing hemoglobin concentration, moisture content, real part of electrical impedance and environmental temperature is generated after preprocessing. Based on the data set, a multi-engine prediction model is adopted to analyze the skin state change trend, and predicted values of the moisture demand, the temperature sensitivity, the barrier function and the microcirculation state are generated. Then, optimization instructions of radio frequency energy, a phototherapy mode, micro-current parameters and temperature control are calculated respectively according to prediction results, and safety and coordination of parameter adjustment are ensured through cooperative verification. According to the invention, through dual-time scale prediction and multi-parameter collaborative optimization, the problem of nursing effect lag caused by environment change and skin state fluctuation of a traditional beauty instrument is solved, and the nursing precision and stability are significantly improved.

The present invention relates to RNAi agents, e.g., double stranded RNA (dsRNA) agents, targeting the complement component C3 gene (C3). The invention also relates to methods of using such RNAi agents to inhibit expression of a C3 gene and to methods of preventing and treating a C3-associated disorder, e.g., cold agglutinin disease (CAD), warm autoimmune hemolytic anemia, and paroxysmal nocturnal hemoglobinuria (PNH), lupis nephritis (LN), bullous pemphigoid, Pemphigus, e.g., Pemphigus vulgaris (PV) and Pemphigus foliaceus (PF), and C3 glomerulopathy.

The invention provides a fructus cannabis protein peptide capable of reducing blood sugar and regulating glycometabolism and a preparation method and application thereof, and belongs to the technical field of functional active peptides, and the preparation method comprises the following steps: performing low-temperature supersonic fluid crushing on fructus cannabis, performing enzymolysis pretreatment on the crushed fructus cannabis, adding compound protease for enzymolysis, adding PNGaseF enzyme for further enzymolysis, and performing freeze drying to obtain the fructus cannabis protein peptide capable of reducing blood sugar and regulating glycometabolism. And carrying out membrane ultrafiltration interception and enrichment on the enzymolysis supernatant, carrying out tangential flow filtration, concentrating, drying and sterilizing to obtain the fructus cannabis protein peptide. Tests prove that the novel fructus cannabis protein peptide has the following remarkable effects that the fasting blood glucose level can be remarkably reduced, and uncomfortable symptoms such as thirst, polydipsia, diuresis and weakness caused by hyperglycemia are relieved; the symptoms of glucose intolerance and insulin resistance caused by hyperglycemia can be obviously relieved, and the onset risk of type 2 diabetes mellitus is reduced; the level of fasting serum insulin and glycosylated hemoglobin can be obviously reduced, and the level of serum GLP-1 can be improved.

The present disclosure relates to compositions and methods of increasing levels of fetal hemoglobin (HbF) in cells. The present disclosure further relates to methods for treating patients suffering from blood cell diseases, including those associated with reduced amounts of functional adult hemoglobin (HbA), such as sickle cell disease and β-thalassemias

The invention discloses a neonatal jaundice health management system based on big data, and belongs to the technical field of jaundice health management, and the system specifically comprises the steps: collecting the transdermal jaundice measurement value, hemoglobin concentration, day age and weight data of a neonate through a data collection module; an individualized drift index is calculated based on the hemoglobin concentration and the day age data through a physiological parameter calibration module; inputting the transdermal jaundice measurement numerical value and the individualized drift index into a dynamic correction model through a dynamic prediction analysis module to generate a serum bilirubin prediction numerical value; a time sequence data processing module is used for smoothing the predicted numerical value and calculating the variable quantity of adjacent time points; constructing trend indexes and generating serum bilirubin change trend data through a trend analysis and detection module; and finally, generating a health management scheme based on the threshold level and the trend change point through an intelligent decision module. According to the invention, effective assessment and personalized management of the neonatal jaundice risk are realized.

The disclosure features systems and methods for correcting a mutation in the human beta-globin (HBB) gene in a cell or population of cells. The disclosure also features methods of increasing repair of a DNA double stranded break (DSB) in an HBB gene by the homology-directed repair (HDR) pathway. The disclosure also features compositions for use in the methods.

The present subject matter relates to recombinant lentiviral transfer plasmids for producing lentiviral vectors with increased vector titer and performance. These transfer plasmids are constructed so that a central polypurine tract (cPPT) is centered between the lentiviral LTRs and include a 6x stop codon sequence block downstream of the 3' LTR. When the transfer plasmids comprise a globin expression cassette, the lentiviral vectors produced therefrom are useful for treating hemoglobinopathies by gene therapy. Transduced cells, pharmaceutical compositions and methods of treating or ameliorating hemoglobinopathies with these lentiviral vectors are also provided. Additional transfer plasmids, cells, and compositions are provided that are useful for delivering any gene of interest to a cell, as well as plasmids for production of lentiviral vectors for treating other erythroid-specific diseases or disorders such as anemia and cancer.

The invention relates to an anemia blood transfusion risk management system based on real-time monitoring, and belongs to the technical field of medical data processing. The management system comprises a plurality of sensors and is used for acquiring multiple monitoring data such as hemoglobin concentration, blood oxygen saturation waveform and cardiovascular waveform of a patient, and real-time analysis is executed by a calculation module. The calculation module quantifies key indexes such as blood volume change and hemoglobin concentration by constructing a dynamic risk index model, and performs morphological similarity comparison on a real-time waveform and a plurality of established reference waveform templates. And the management system corrects the risk level based on the similarity analysis result and outputs a comprehensive score. The score can be used as a reference standard for clinical blood transfusion intervention.

The invention discloses an fNIRS adaptive feedback emotion cognition cooperative training device and method, and relates to the technical field of emotion disorder cognition training. The device comprises a data acquisition module used for acquiring an original dual-wavelength light intensity signal from a brain; the data processing module is used for performing multi-stage preprocessing on the original dual-wavelength light intensity signal; the neural feedback module is used for calculating a multi-dimensional evaluation index according to the hemoglobin concentration data and adjusting a difficulty level and a feedback threshold value of a training task by using a dynamic threshold value control algorithm; the training module is used for training participants based on the emotion stimulation task and the cognitive training task; and the evaluation module is used for performing training evaluation according to the comparison result of the comprehensive performance score and the feedback threshold. Brain function equipment is closely combined with cognitive training and emotion stimulation tasks, dynamic evaluation and real-time feedback are added for traditional tasks, and through the brain network analysis technology, accurate evaluation of the user training effect is achieved.

The invention provides a handheld photoacoustic multi-mode vascular puncture and tissue damage diagnosis system and device, and belongs to the technical field of photoacoustic imaging. According to the handheld multispectral photoacoustic imaging device, elastic force feedback and blood vessel real-time development are integrated, and the puncture success rate is increased by 30%; by virtue of hemoglobin / collagen double-index imaging, the stress injury can be pre-warned 72 hours in advance; the 3D hematoma volume automatically calculates an error lt; and repeated puncture and missed diagnosis are remarkably reduced. The invention provides a quantitative evaluation and real-time navigation integrated scheme for vascular puncture and tissue damage, and is safe and efficient.

The invention relates to a probiotic preparation containing a BL11 strain and capable of improving obesity-related metabolism and senescence indexes of middle-aged and elderly people and application of the probiotic preparation. The strain in the probiotic preparation is composed of a bifidobacterium longum subsp. Longum BL11 strain and a pediococcus acidilactici PA53 strain. The two strains can cooperate with each other and promote each other, and have a synergistic effect in the aspect of improving obesity-related metabolic indexes, which is specifically embodied in that: the weight increase and body fat rate of mice fed with high fat diet can be reduced; the low-density lipoprotein level, the total cholesterol level and the triglyceride level are reduced, and the high-density lipoprotein level is improved; fasting blood-glucose, glycosylated hemoglobin level and insulin resistance index are reduced; chronic inflammation is relieved; meanwhile, the composition also has excellent performance in the aspect of improving senescence-related indexes, the content of malondialdehyde in serum can be reduced, the activity of superoxide dismutase and glutathione peroxidase can be improved, and the activity of telomerase can be improved.

The invention relates to the technical field of biomedical engineering, in particular to a household noninvasive anemia monitoring and early warning method and system in a chronic kidney disease scene. The system comprises hemoglobin detection equipment, a dialysis machine and processing equipment, physiological data of the chronic kidney disease are collected through the hemoglobin detection equipment, dialysis is conducted on the chronic kidney disease through the dialysis machine, and dialysis data are recorded; and determining a predicted anemia risk grade of the chronic kidney patient through the processing equipment according to the physiological data, the dialysis data and the physical sign data of the chronic kidney patient, and performing anemia early warning according to the predicted anemia risk grade and the physiological data. According to the application, anemia home monitoring of the chronic kidney disease patient is realized, the patient does not need to go back to a hospital regularly, the economic burden and the body burden of the chronic kidney disease patient are reduced, and the life quality of the chronic kidney disease patient is remarkably improved.

The invention relates to the technical field of medical informatics, in particular to an AI-based intelligent early warning system for hyperuricemia male reproductive metabolism abnormality. The system comprises a memory and a processor, and the processor executes a computer program stored in the memory to realize the following steps: acquiring uric acid data, waistline data, glycosylated hemoglobin data and reproductive index data of a target male; combining the uric acid fluctuation abnormality degree, the multi-dimensional blood glucose abnormality expression degree and the movement rule expression degree of each stage to obtain the reproduction metabolism abnormality degree; according to the relative relationship between the reproductive index data and the corresponding standard range, obtaining the abnormal performance degree of the reproductive index; integrating the reproductive metabolism abnormality degree and the reproductive index abnormality expression degree to obtain a multi-dimensional feature linkage reproductive metabolism expression comprehensive evaluation degree of the target male; and according to the comprehensive evaluation degree of the multi-dimensional feature linkage reproductive metabolism performance, whether early warning is carried out is judged. According to the invention, the accuracy and credibility of intelligent early warning of the risk of abnormal male reproductive metabolism of hyperuricemia are improved.

The present invention provides a paroxysmal hemoglobinuria indication drug ipropam key intermediate synthesis method, and relates to the technical field of ipropam, the method comprises: taking p-bromobenzaldehyde as an initial raw material, adopting an S-configuration catalyst to obtain an intermediate 03, carrying out protection group removal on the intermediate 03, carrying out automatic ring closing to obtain an intermediate 04, and carrying out post-treatment to obtain the paroxysmal hemoglobinuria indication drug ipropam key intermediate. Reducing the intermediate 04 with sodium borohydride to obtain a single cis-configuration intermediate 05, then carrying out a chiral flip reaction and hydrolysis to remove p-nitrobenzoic acid, then carrying out an etherification reaction with diethyl sulfate to obtain an intermediate 08, reducing amide of the intermediate 08 with sodium borohydride and boron trifluoride diethyl etherate to obtain an intermediate 09, then carrying out an acetylation reaction to protect amino, and finally carrying out a reaction to obtain the chiral cis-configuration intermediate 03. Cuprous cyanide is subjected to a cyanation reaction and a hydrolytic esterification reaction to obtain the ipropam key intermediate TM. The method is low in raw material price, high in chiral control selectivity, easy in reaction condition control and low in equipment requirement, avoids column chromatography and other operations, and is more suitable for industrial production.

A method of treating a human subject which is effected by intermittent inhalation of gaseous nitric oxide at a concentration of at least 160 ppm is disclosed. The method can be utilized for treating a human subject suffering from, or prone to suffer from, a disease or disorder that is manifested in the respiratory tract, or from a disease or disorder that can be treated via the respiratory tract. The disclosed method can be effected while monitoring one or more of on-site and off-site parameters such as vital signs, methemoglobin levels, pulmonary function parameters, blood chemistry and hematological parameters, blood coagulation parameters, inflammatory marker levels, liver and kidney function parameters and vascular endothelial activation parameters, such that no substantial deviation from a baseline in seen in one or more of the monitored parameters.

In certain embodiments, a lentiviral vector for the treatment of sickle cell disease (SCD) is provided. In certain embodiments, the vector comprises an expression cassette that encodes that an anti-sickling β-globin gene and an shRNA that inhibits expression of a BCL11A gene (BCL11A shRNA) wherein said expression cassette is in reverse orientation in the vector; a β-globin locus control region (LCR) comprising a reduced length hypersensitive site 1 (HS1) sequence, a reduced length hypersensitive site 2 (HS2) sequence, a reduced length hypersensitive site 3 (HS3) sequence, and a reduced length hypersensitive site 4 (HS4) sequence, where said anti-sickling β-globin gene is operably linked to the human β-globin locus control region.

The invention provides a recognition and early warning method and device for irritable hyperglycemia, electronic equipment and a storage medium, and is applied to the technical field of medical data processing. According to the method, data type information (including FreeStyle LibreH dynamic blood glucose and glycosylated hemoglobin data), influence factor data (improved and preset irritable hyperglycemia index and the like) and abnormal state information (fasting interference and detection difference) are taken; acute-stage and chronic-stage average blood glucose basic data are generated through preprocessing. The index weight is enhanced and improved by means of a dynamic fusion engine, the probability is predicted by combining space-time correlation analysis and binary logistic regression, and the abnormal characteristics are obtained by comparing the difference of the AUC by adopting Delog test. The multi-modal features are processed to obtain an identification result, clinical indexes screened by LASSO are fused, index differences are compared to generate risk influence factors, finally, a dynamic early warning result is generated based on a space-time correlation early warning engine and a multi-target strategy, and accurate identification and early warning are achieved.

The invention discloses a method for detecting a fatigue state based on a multi-modal data fusion technology, and the method comprises the following steps: S1, collecting multi-modal training data through a sleep deprivation experiment, and carrying out the training of a model. Comprising fNIRS, ECG, PPG, GSP and Resp, hemoglobin concentration data, obtained through a fNIRS headband, of the forehead lobe of the brain is obviously related to fatigue, data of electrocardio, pulse waves, skin electricity and respiratory waves are obtained through an electrocardio sensor (pectoral girdle), a PPG bracelet, a GSR ring and a respiratory wave (Resp) sensor (waistband), the data collected by different devices are objective, the defects of psychological experiment methods are effectively overcome, and the psychological experiment accuracy is improved. And different modalities can provide complementary information, and even capture the features of the target from multiple angles.

The invention relates to the technical field of intelligent medical adjuvant therapy, in particular to a depression targeted nerve regulation method and system based on fNI RS dynamic brain entropy, and aims to overcome the defects that an existing nerve regulation method is fixed in stimulation parameter, lacks real-time feedback, depends on subjective evaluation and the like. According to the method, a multichannel near infrared spectrum optical brain imaging device is adopted to collect a time sequence signal of prefrontal lobe resting hemoglobin; calculating the time sequence signal of the prefrontal lobe static hemoglobin to obtain a static entropy feature and a dynamic entropy feature; calculating a brain entropy ratio according to the static entropy feature and the dynamic entropy feature; and matching the brain entropy ratio with a preset brain entropy threshold value, and adjusting nerve regulation and control stimulation parameters according to the corresponding brain entropy threshold value. Through the brain entropy real-time feedback closed-loop TMS regulation and control technology, the quantitative relation between the brain entropy and the stimulation parameters is established, and a stimulation parameter dynamic adjustment method is provided for the nerve regulation and control technology.

An electronic device comprises a housing configured to contact a user's skin, an optical transmitter array, an optical receiver, a memory element and a processing element. The optical transmitter array outputs a plurality of optical signals that pass through the user's skin, each of the plurality of optical signals having one of three wavelengths. The optical receiver receives the optical signals and generates corresponding photoplethysmogram (PPG) signals. The memory element stores absorption constants for deoxyhemoglobin blood content, oxyhemoglobin blood content and glycated hemoglobin blood content, each absorption constant associated with one of the first wavelength, the second wavelength or the third wavelength. The processing element determines a glycated hemoglobin blood level for the user based on a ratio of a determined glycated hemoglobin blood content to a sum of determined deoxyhemoglobin blood content, a determined oxyhemoglobin blood content and a determined glycated hemoglobin blood content.

The invention relates to the technical field of medical monitoring equipment, in particular to an intelligent drainage monitoring system and method after a hepatotomy based on multi-modal sensing, and the system comprises a sensing data collection module, a signal processing module, a data fusion analysis module and an abnormity recognition early warning module. The sensing data acquisition module comprehensively acquires pressure, component and diffusion state data of drainage liquid by utilizing an optical fiber pressure sensor array, a micro spectral analysis device and a biological impedance sensor, the signal processing module converts sensing data into digital signals, and the data fusion analysis module performs fusion analysis on the drainage liquid based on the signals. According to the system, the content of bilirubin and hemoglobin in drainage liquid and the diffusion state of the bilirubin and hemoglobin in the abdominal cavity are recognized and comprehensively analyzed, the abnormity recognition and early warning module compares an analysis result with a preset normal index, the abnormal condition is determined, an early warning signal is generated, the intelligence and accuracy of drainage management are effectively improved, and the working efficiency is improved. Postoperative complications can be reduced, and the rehabilitation quality of a patient can be improved.

The invention provides a plateau hypoxic encephaledema early warning system, which comprises a first acquisition module configured to emit ultrasonic waves to at least two tangent planes of a first area to obtain an ultrasonic image reflected after being transmitted by an eyeball, and determining the diameter of an optic nerve sheath after first preprocessing; the second acquisition module is configured to emit a near-infrared signal source to a second area to obtain a spectral image reflected after transcranial transmission, and absorption spectrums of oxyhemoglobin and deoxidized hemoglobin are obtained after second preprocessing; the data processing module is configured to obtain the optic nerve sheath diameter and the absorption spectrum and determine a first influence factor and a second influence factor about the optic nerve sheath diameter and the absorption spectrum; and the early warning module is configured to give an alarm if the first influence factor and the second influence factor exceed a preset threshold value under a first preset condition. Early warning and monitoring of encephaledema are achieved through multi-mode monitoring.

The invention discloses an AI intelligent multi-terminal adaptive non-invasive hemoglobin detector and a detection method, and the detector comprises a configuration module which is used for transmitting combined light with a specific wavelength to penetrate a fingernail bed of a user when the fingertip of the user is placed in an accommodation cavity; the image acquisition module is integrated in the intelligent terminal and is used for shooting a multiband image reflected by a fingernail bed when the fingertip of the user is placed in the accommodating cavity; the transmission module is used for transmitting the multiband image to the processing module; and the processing module is internally provided with a deep learning spectral feature regression model and is used for extracting features related to the hemoglobin concentration from the multiband image, carrying out regression calculation and outputting a quantitative hemoglobin concentration value. Optical signals carry complete concentration related information after penetrating through the fingernail bed, so that the detection precision is improved; image acquisition is integrated on an intelligent terminal commonly used by a user, the use threshold is reduced through multi-terminal adaptation, the accuracy of data feature extraction is improved based on a deep learning spectral feature regression model, and then the accuracy of a detection result is improved.

The invention discloses a composition for preventing and treating plateau erythrocythemia and application of the composition, and relates to the technical field of pharmaceutical composition preparation. The composition is prepared from PT2385 and salidroside. The combination of PT2385 and salidroside can effectively inhibit hyperplasia of red blood cells of HAPC rats, reduce hemoglobin and relieve blood flow stasis and microcirculation disturbance of body tissues and organs caused by hypoxia, so that hypoxia phenotypic characteristics of the HAPC rats are improved. In addition, free radicals can be effectively removed, oxidative stress, peroxidation reaction and inflammatory reaction induced by hypoxia are inhibited, the mitochondrial function is protected, and the dysfunction of HAPC rat tissue and organ injury is improved. The problem that in the prior art, an effective medicine for preventing and treating plateau erythrocythemia is lacked is solved.

The invention discloses a non-contact blood spectral imaging blood pressure monitoring system and method, and relates to the technical field of blood pressure monitoring, the non-contact blood spectral imaging blood pressure monitoring system comprises the steps of capturing reflection spectrum fluctuation of a key detection area of a human face, performing signal processing on the reflection spectrum fluctuation, extracting blood flow information, extracting hemoglobin optical response characteristics and hemodynamic conduction characteristics, and determining the blood pressure of the human face. A multi-modal feature fusion network is constructed, comprehensive feature representation is formed, a blood pressure mapping model is established based on the comprehensive feature representation, the blood pressure mapping model comprises a static blood pressure estimation sub-model and an ambulatory blood pressure change prediction sub-model, and a basic blood pressure value is calculated through the static blood pressure estimation sub-model. Calculating a blood pressure fluctuation value through the dynamic blood pressure change prediction sub-model, and combining the basic blood pressure value with the blood pressure fluctuation value to generate a final blood pressure monitoring result; and non-contact, continuous and accurate blood pressure monitoring is realized.