| With the development of the society and the aging trend of the global population,cardiopulmonary chronic disease has become a top cause of health threat to the aging population.Meanwhile,cardiopulmonary chronic disease is becoming more and more common among young people.With the development of medical science and technology,the improvement of people's health consciousness,modern medical treatment emphasizes the dynamic health management of "healthy people" and advocates that "prevention is more important than treatment".so that patients can receive personalized and dynamic medical services.Ecg,heart rate,pulse,blood oxygen saturation,respiration,body temperature,blood pressure and other basic physiological parameters of the human body are closely related to the prevention and treatment of diseases.the perspective of technical,in addition to the professional medical equipment in hospitals,which can realize the monitoring of human health status,the convenient and flexible wearable physiological parameter monitoring system provides a technical support platform for personalized real-time physiological parameter monitoring.Modern medical model transformation,the level of medical wearable miniaturization,intelligent equipment put forward higher request,wearable physiological parameters monitoring in all kinds of sensors,miniaturization,intelligent,high precision of the body's physiological parameters,implementation to human body health noninvasive continuous real-time monitoring of physiological parameters,is to realize the overall health and personalized medicine is relatively effective new medical care model.However,the research on wearable system perception technology with miniaturization,low power consumption and high precision is still one of the difficulties in wearable medical research.Comprehensiveand in-depth research on wearable medical perception technology is of great significance for the diagnosis and treatment of personalized diseases,health management,elderly care,chronic disease management and difficult access to medical services.Based on "perception" as the breakthrough point,according to perceive a wearable physiological monitoring system key problems of technology,mainly for pulse,heart rate sensors to material preparation and sensing performance testing,heart,lung and slow disease management oriented wearable physiological monitoring system,information fusion of wearable Ecg signal classification algorithm and so on several aspects has carried on the research,specific include the following contents:(1)Preparation and sensing performance of POM/2D GNs flexible wearable pulse and heart rate sensor sensing electrode materials.POM/2D GNs composites were prepared and characterized by XRD,TEM and EDS and their electrochemical properties were tested.Constructed based on POM/water monitoring sensor model of2 D GNs,use place and remove water droplets responsiveness of the sensing device for testing,the results show that the measured ? ADC values may well response placing and remove water droplets POM/2D GNs the pressure signal of a sensor changes.In order to explore the potential of POM/2D GNs sensor in the field of human pulse and heart rate monitoring,we designed a flexible pulse sensor device model and fixed it at the wrist pulse point for continuous pulse monitoring and recording for 15 seconds.The results show that the sensor based on POM/2D GNs is very sensitive to the external pulse,and the monitoring results are basically consistent with the pulse waves detected by PPG technology.Therefore,POM/2D GNs has been proved to be able to be used in wearable medical systems to monitor vital signs such as human pulse and heart rate.This work opens a new way for the preparation of flexible wearable Ecg and pulse sensors.(2)Preparation and sensing performance of 2D GNs/ZnS:Mn2+/POM flexible wearable pulse and heart rate sensor sensing electrode materials.On the basis of POM/2D GNs pulse sensor sensing material,2D GNs/ZnS:Mn2+/POM composite material was further prepared in this paper,and its XRD,TEM,PL(photoluminescence),ML(force luminescence)and electrochemical properties were characterized.The results show that the material has pressure-controlled luminescence property,and the relationship between ML strength and pressure value is linear in a certain range.Due to the introduction of 2D GNs and POM with high electrical conductivity,2D GNs/ZnS:Mn2+/POM electrode is sensitive to external stimuli and has high electrical conductivity.2D GNs/ZnS:Mn2+/POM sensor device model was constructed and pulse and ecg signals were monitored.Experimental results showed that the composite material could be used as pulse and ecg sensor sensing electrode for wearable pulse and heart rate monitoring.The research in this paper further enriched the preparation method of wearable flexible pulse and heart rate sensor sensor electrode materials,and provided certain reference value for the new application of flexible graphene-based materials as Ecg and pulse sensors.(3)Wearable physiological parameter monitoring system for cardiopulmonary chronic disease management.This paper design a wearable physiological parameters of cardiopulmonary disease slow monitoring system fully combines the traditional technical advantages of ecg monitoring equipment,with low power consumption,miniaturization and physiological signal measuring accuracy as the goal,give attention to two or morethings ADS1292,AFE4400,STM32 analog front end and low power consumption chip solutions,designed a set of 3 lead Ecg signal acquisition and blood oxygen saturation monitoring module for the integration of wearable cardiopulmonary slow disease monitoring system,verified,the system can effectively collect the ecg and blood oxygen saturation signal.At the same time,the graphene-based sensing material POM/2D GNs was used to collect and verify ecg signals.(4)Research on arrhythmia classification algorithm of deep convolutional neural network(DCNN).It is of great significance to obtain useful information from ecg signals collected at the front end to assist clinicians in diagnosis,and it is also one of the core and key perception technologies of intelligent wearable device system.In this paper,a classification algorithm of arrhythmias based on deep convolutional neural network is proposed to generate a patient-specific deep structure automatic beatclassification model.The advantages of the proposed method include the reduction of the previous Ecg noise processing and the separate feature extraction steps.The average accuracy of the proposed model in the recognition of mit-bih arrhythmia database was 96.79%,the average effect degree was 97.85%,and the comprehensive performance evaluation index was 95.98%.(5)Study on arrhythmia classification algorithm of CLSTMA combined neural network model.In this paper,the CLSTMA combined neural network model is proposed based on deep convolutional neural network.After 20 rounds of training and intervention,a patients-specific deep structure automatic heart beat classification model was generated.The proposed method reduced the previous steps of ecg noise processing and separate feature extraction,and further enhanced the generalization ability of the model.The recognition and verification results of the proposed model on the mit-bih arrhythmia database of four types of beats show that the comprehensive performance evaluation index of the model reaches 96.86%.Taking the ventricular arrhythmia as an example,the accuracy of the model reaches 96.70% and the effect degree reaches 98.22%.Compared with the existing literature,the overall performance of the model is better than the model performance reported in the literature.In conclusion,the research results of this paper further expand and enrich the research on wearable medical perception technology,and provide theoretical basis and technical support for cardiopulmonary chronic disease monitoring system and other flexible wearable technologies to realize the collection of human health signs,prevention and diagnosis of diseases. |
PDF Full Text Request