Research And Development Of The Intelligent Triage System

Research and development of the intelligent triage systemObjective: Major natural disasters and hostilities will lead to the emergence of mass casualties. However, it is extremely limited medical resources in this situation. Triage as an important part of disaster medicine, It is the primary part of emergency medical rescue. The meaning of triage is to effectively classify the wounded According to the injury, to integrate emergency resources reasonably, to carry out targeted emergency treatment, to improve the treatment efficiency of the wounded. The traditional method of triage is usually artificial identification, for example, the respiratory rate is measured by the way of feelling that cost about 1~2min. Its disadvantage is time-consuming, accuracy is poor, lack of quantitative indicators. We want to carry out research and design of intelligent automatic triage system to improve the efficiency of triage. Its purpose is to develop an intelligent triage system, real-time detection the key physiological signals of injured, integrated state of consciousness and automatic classification of injuries to quantify the extent. Ultimately, improve the level of on-site treatment. In addition, the system can make triage automation technology, non-professionals can produce quality sorting, significantly reduced the aid of professional human resource consumption, efficient use of on-site emergency rescue personnel.Methods: In this paper, an algorithm and intelligent platform for grading injury were developed based on physiological signal collecting technology, intelligent grading algorithm and integration technology. We use a signal acquisition controller integrated wounded identity information and physiological information to the host computer for processing, according to the classification results obtained sorting algorithm for data analysis and processing, and add a filtering algorithm ECG and respiration signals can be more accurately observe the wounded injury, improve the accuracy of classification results. We realize sorting algorithm c sharp software development platform, physiological signal processing algorithms and the final results showed. Finally, we designed a filtering algorithm verification test ECG, respiration signal filtering algorithm validation experiments and sorting experiments to verify the reliability of the system.Contents: This paper includes the following work:①. System hardware design and implementation. The use of physiological signal acquisition card and handheld PDA terminal building intelligent automatic triage platform, the entire system with the "radio frequency identification", "blood pressure", "breathing" and "ECG" signal automatic acquisition and data storage capabilities, and according to care request terminal will store the data transmitted to the monitoring terminal. Hardware platform selection is mainly set up the various hardware components, communication protocol design and signal acquisition controller. The entire hardware system includes a storage module identity information, identity information collection module, physiological information acquisition module, signal acquisition and the handheld terminal display controller design module. Which we use S50 Wristband storage wounded identity, mainly casualty’s name and number and design of RF gun scanning IC bracelet achieve acquisition wounded identity information, use PM6750 physiological signal acquisition card get wounded trial information, the final design a signal acquisition controller, its purpose is to save I / O port resources and improve efficiency in the use of hand-held terminals, we have adopted a multi-input single-out time-multiplexed manner, we use a signal acquisition controller and various physiological signals integrate radio frequency identification signal via a serial port to transfer data to the host computer. We use the wave of Shandong Qiao Diamond TB3223 tablet computer to receive a data signal acquisition and transmission controller for processing display.②. Design and Implementation of algorithms. In this paper, a total of three algorithms to achieve a design that filtering algorithm ECG, respiration signal filtering algorithm and sorting algorithms. Its central electrical signal filtering algorithm and respiratory signal filtering algorithm with the same eLMS filtering algorithms, but different role of objects, sorting algorithms we use a simple scoring method of war wounds, wounded by blood pressure, respiration and consciousness condition scoring calculation wounded injuries were graded. And eLMS algorithm to filter out during triage due to interference caused by chest compressions and other aid measures, so that sorting can be more accurate, intuitive classification. We use c # software development platform authoring system data acquisition, processing and display interface, and the preparation of related algorithms, allows the system to achieve real-time filtering and display, and automatically using the measured parameters to get the wounded injury rating based on sorting algorithm.③. Human-computer interaction to build software systems. Human-computer interaction software system roughly divided into three sub-systems, which are sub-parameter display, parameter setting subsystem and record review subsystem. Under each sub-divided into one or more modules area. The whole system is to achieve the reception of the wounded identity and physiological signals, display, processing, storage and other functions, and also a combination of sorting algorithms and physiological signal jamming algorithm for processing data. We use Visual Studio2010 as a software system development environment, C Sharp language writing system interface to achieve these functions through the interface and some buttons, and ultimately packaged into a setup file to be loaded using the PAD.④. System reliability and feedback monitoring efficiency assessment experiments. In this paper, in order to verify the reliability of the system and its algorithm, we designed three experiments, namely ECG filtering algorithm verification experiment, breathing filter algorithm validation experiments and sorting experiments. Its central electric filter algorithm is verified by experiment filtered ECG rhythm recognition result of sensitivity, specificity and accuracy to illustrate the reliability of the algorithm; and the respiratory signal filtering algorithm is verified by experiments before and after the filter calculation the accuracy of respiratory rate to judgment; sorting experiments were conducted in patients with clinical experimental design, using traditional classification method and the intelligent classification system to classify this article calculated the time spent comparing classification and the classification accuracy of the results reliable verification system sex.Achievements: In this study, an intelligent triage device that can automatically collect measurement of blood pressure, ECG, respiration and other physiological signals determine injury state, recording the wounded state of consciousness, injuries to achieve quick easy war injuries based scoring method smart quantitative classification and disposal advice optimization tips. And the integration of physiological interference signal processing algorithms, and ultimately an intelligent triage unit(Military Medical Sciences, Institute of Medical Equipment patents, patent number: ZL201520217734.5) development, to build a sorting platform, and the wounded acquisition-related information, and display processing, and real-time ECG and respiration signal filtering.Conclusions: In this paper, the contents of internal triage provides a new way to effectively overcome the traditional manual classification of low accuracy, timeliness defects and poor, improve the efficiency and wounded in the treatment level for sorting links. And the operation is simple, reducing the sorting staff of professional requirements, we can better avoid the problems caused by the professional level of misclassification.