The emergency aid system is based on the EC5-1719CLDNA high-performance single-board computer, adding human vital signs monitoring sensor, audio and video module, wireless transmission module, database and application software, and ECG monitoring equipment to realize real-time collection and monitoring of human vital signs and medical history. Collection, rapid diagnosis of the disease, suspected case inquiry, remote expert emergency, ECG analysis and other functions. The system is used for rapid disease diagnosis and first aid in the pre-hospital first aid session, which effectively reduces the mortality and disability rate of patients. For accidents, sudden illnesses and other diseases, there is a first-aid "time window". If you can quickly diagnose and give effective first aid in the pre-hospital first aid, it can greatly reduce the mortality and disability rate. However, due to objective conditions, it is difficult for mobile medical teams on medical ambulances to be equipped with experienced specialists, so that the most timely and effective measures are not taken, or the best time for assistance is missed. In view of the above problems, this paper uses EC5-1719CLDNA (embedded star) as the system kernel, combined with human vital signs monitoring sensor, audio and video module, TD-SCDMA wireless transmission module, GPS module to achieve the ambulance emergency intelligent assistant system for this purpose Provides an effective solution. The system consists of two parts: the ambulance end and the emergency center. Both parties use the TD-SCDMA wireless module for data communication. The ambulance end mainly completes the collection of the patient's physiological characteristics (body temperature, pulse, respiration, blood pressure), the analysis of the patient's electrocardiogram, and transmits the collected data to the ambulance center through the wireless module in real time to facilitate the center to make the patient Comprehensive remote diagnosis. The emergency center is responsible for managing and deploying ambulances, receiving real-time vital signs data and preliminary diagnosis results sent by each ambulance, and providing real-time audio and video communication to provide emergency reference data for medical and imaging experts to guide ambulance implementation. An effective treatment plan. The overall block diagram of the entire system is shown in Figure 1. Figure 1 Overall framework of the intensive care system for intensive care vehicles The ambulance end uses EC5-1719CLDNA (Embedded Star) high-performance single-board computer, which uses integrated sensors to collect, process and transmit pulse, body temperature and respiratory signals in real time. The design block diagram is shown in Figure 2. Figure 2 ambulance end function system structure The entire ambulance end can be divided into four modules: a data acquisition module that completes the collection of physiological characteristics of the patient; a human-computer interaction module that displays the results of the patient data analysis; completes the wireless module that is in contact with the center; and completes a video dialogue with the center. Sound image processing module. The data acquisition module is a key part of the whole system. The acquired signal is realized by the 16-bit ∑-Δ analog-to-digital converter AD7705. The chip contains a digital filter, thus eliminating the need for a separate filter circuit. Very good filtering effect. The control used is controlled by two single-chip microcomputers, and the collected signals are sent to the main control system for analysis and processing. Since the ambulance in the system interacts with the central end during the movement, and the wireless network card is configured at the central end to receive the data of the ambulance terminal, the system also adopts the GPS module of the Corte company in the ambulance terminal. The positioning accuracy is 10 m). The local GPS coordinates are obtained from the satellite through the GPS terminal. According to the positioning information, the ambulance end and the emergency center are helped to understand the current position of the ambulance. Similarly, the transmission of audio and video on the move is also higher than the static requirements. The system uses the socket technology to transmit audio and video data wirelessly. At the same time, in order to alleviate the data backlog caused by poor network communication, the data can not be sent out. The system sends a stop-and-go strategy, that is, each time the data is sent, the receiver is monitored and the flag is set to determine. Whether to stop compression of video frames. At the receiving end, after receiving the video frame, the flag is sent to the transmitting end, so that the receiving end starts to compress and transmits the next frame of data. Thus, when the network is abnormal, since the compression is stopped, this will not cause a data backlog. For the same subject, the waveform of the pulse sensor HK-2000B signal is measured with an oscilloscope at the same time, and compared with the output waveform of the system system. The waveform is shown in Figure 3 and Figure 4. Figure 3 oscilloscope output pulse waveform Figure 4 This system output waveform Pulse measurements were performed on subjects of different ages, genders, and different conditions, and the results were different. Test conclusion: By comparing with the conventional measurement method, it is found that the system measures the pulse more accurately and is convenient for storage and processing.
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