技术领域technical field
本发明涉及医院监护领域，尤其涉及一种用于病房数据采集方法。The invention relates to the field of hospital monitoring, in particular to a method for collecting data in a ward.
背景技术Background technique
对于具有住院部的医院来说，对住院部收留住院的病人的日常监护是最为繁琐的工作之一。这项工作要求医生和护士定期前往各个病人的病床前进行病人身体状况的检查和询问，并查看安装在病人身旁的各种监护仪器的读数情况，以在病人出现异常状况或监护仪器读数超出预定范围时，积极采取救护措施，帮助病人脱离危险。For a hospital with an inpatient department, the daily monitoring of the inpatients in the inpatient department is one of the most cumbersome tasks. This work requires doctors and nurses to go to each patient's bed regularly to check and inquire about the patient's physical condition, and to check the readings of various monitoring instruments installed next to the patient, so that when the patient has an abnormal condition or the reading of the monitoring instrument exceeds When pre-determining the range, actively take rescue measures to help patients out of danger.
然而，现有技术中的这种人工数据监控模式存在以下弊端：(1)耗费了医院大量的人力资源，医院的医生和护士人数相对病人数量来说相对有限，如果在住院部门使用大量的医护人员，在其他部门例如门诊部门的人员就会较少，影响医院的正常就诊秩序；(2)即时是使用大量的医护人员，也做不到24小时无间断数据采集和监护，在一些时间段，例如凌晨，大部分病人仍会处于无人监护的困境。However, this artificial data monitoring mode in the prior art has the following disadvantages: (1) it consumes a lot of human resources in the hospital, and the number of doctors and nurses in the hospital is relatively limited relative to the number of patients. There will be fewer personnel in other departments such as the outpatient department, which will affect the normal order of hospital visits; (2) even if a large number of medical personnel are used, 24-hour uninterrupted data collection and monitoring cannot be achieved. , For example, in the early morning, most patients will still be in the plight of unsupervised.
因此，需要一种用于病房数据采集方法，能够24小时无间断对病人身体状况和监护仪器读数进行数据采集，在出现异常时及时进行报警，解决医院人手不足的问题的同时，提高病人监护的效率。Therefore, there is a need for a data collection method for the ward, which can collect data on the patient's physical condition and the readings of the monitoring instrument 24 hours a day, alarm in time when an abnormality occurs, solve the problem of insufficient staff in the hospital, and improve the efficiency of patient monitoring. efficiency.
发明内容Contents of the invention
为了解决上述问题，本发明提供了一种用于病房数据采集方法，将监护仪器读数采集设备和病人身体状况检测设备移植到可灵活移动且能够做到全时段监护的机器人结构上，而且在出现异常状况进行本地报警的同时，通过无线通信技术实现远程报警。In order to solve the above problems, the present invention provides a data acquisition method for wards, which transplants the reading acquisition equipment of the monitoring instrument and the patient's physical condition detection equipment to a robot structure that can move flexibly and can monitor all the time. In addition to local alarms for abnormal conditions, remote alarms are realized through wireless communication technology.
根据本发明的一方面，提供了一种用于病房数据采集方法，该方法包括下列步骤：1)提供一种用于病房数据采集的机器人系统，所述机器人系统包括定位设备、电机驱动设备、数据采集设备、数据处理设备和主控制器，所述数据采集设备采集病房内各个医疗仪器的仪器图像和各个病人的人员图像，所述数据处理设备与所述数据采集设备连接，基于所述仪器图像确定对应仪器的读数，根据所述人员图像确定对应病人的身体状况，所述主控制器与所述定位设备、所述电机驱动设备和所述数据处理设备分别连接，根据预存的多个数据采集点位置和所述定位设备确定的所述机器人的当前位置，确定所述机器人系统前往所述多个数据采集点的数据采集路径，根据所述数据采集路径向所述电机驱动设备发送电机驱动信号，还用于分别根据所述对应仪器的读数和所述病人的身体状况确定是否发出相应报警信号；以及2)使用所述机器人来进行数据采集。According to one aspect of the present invention, a method for collecting data in a ward is provided, the method comprising the following steps: 1) providing a robot system for collecting data in a ward, the robot system including a positioning device, a motor drive device, A data acquisition device, a data processing device and a main controller, the data acquisition device collects the instrument image of each medical instrument in the ward and the personnel image of each patient, the data processing device is connected with the data acquisition device, based on the instrument The images determine the readings of the corresponding instruments, and determine the physical conditions of the corresponding patients according to the personnel images. The position of the collection point and the current position of the robot determined by the positioning device, determine the data collection path for the robot system to the multiple data collection points, and send the motor drive to the motor drive device according to the data collection path The signal is also used to determine whether to issue a corresponding alarm signal according to the readings of the corresponding instrument and the physical condition of the patient; and 2) use the robot to collect data.
更具体地，在所述用于病房数据采集的机器人系统中，还包括：静态存储器，用于预先存储了各种医疗仪器的图像模板、各种医疗仪器的指针阈值和病人的各种医疗特征阈值，还用于预先存储仪器上限灰度阈值、仪器下限灰度阈值、人员上限灰度阈值和人员下限灰度阈值，所述各种医疗特征阈值包括肤色阈值和姿态不规范度阈值，所述仪器上限灰度阈值和所述仪器下限灰度阈值用于将图像中的仪器和背景分离，所述人员上限灰度阈值和所述人员下限灰度阈值用于将图像中的人员和背景分离；电力供应设备，用于为所述机器人系统提供除了电力供应设备以外的各个用电设备的电力供应；无线通信设备，用于与远端的护士监控平台建立双向通信链路连接，以接收所述护士监控平台发送的控制指令；控制电机，为直流电机，与所述电机驱动设备连接，基于所述电机驱动信号调整自身的运行数据；所述定位设备通过检测病房内预设在地面上的巡视线，确定所述机器人系统的当前位置；所述数据采集设备为CCD云台高清摄像机，镜头转角为0-240度，采集的图像分辨率为1920×1080；所述数据处理设备包括图像先期处理单元、仪器读数分析单元和病人状况分析单元，所述图像先期处理单元、所述仪器读数分析单元和所述病人状况分析单元分别采用独立的FPGA芯片来实现，所述图像先期处理单元与所述数据采集设备连接，对所述仪器图像或所述人员图像依次执行边缘增强处理、小波滤波处理和灰度化处理，以生成仪器灰度图像或人员灰度图像，所述仪器读数分析单元与所述静态存储器和所述图像先期处理单元分别连接，将所述仪器灰度图像中灰度值在所述仪器上限灰度阈值和所述仪器下限灰度阈值之间的像素识别并组成仪器子图案，将所述仪器子图像与所述各种医疗仪器的图像模板逐一匹配以获得所述仪器子图像对应的图像模板和对应的种类，基于所述仪器子图像和所述对应的图像模板的比较结果，获得所述仪器子图像中指针位置所对应的读数，所述病人状况分析单元与所述静态存储器和所述图像先期处理单元分别连接，将所述人员灰度图像中灰度值在所述人员上限灰度阈值和所述人员下限灰度阈值之间的像素识别并组成人员子图案，识别所述人员子图案中的人员的各种医疗特征；所述主控制器与所述静态存储器、所述仪器读数分析单元和所述病人状况分析单元分别连接，将所述仪器子图像中指针位置所对应的读数与所述仪器子图像对应的种类的指针阈值比较，在超出所述仪器子图像对应的种类的指针阈值时，输出仪器子图像对应的种类并输出仪器读数报警信号，将所述人员子图案中的人员的各种医疗特征与所述病人的各种医疗特征阈值按种类逐一对比，当存在病人的一种医疗特征，其对应的所述人员子图案中的人员的医疗特征超出其对应的医疗特征阈值时，输出病人的医疗特征种类并输出身体状况异常报警信号；其中，所述无线通信设备还与所述主控制器连接，用于将所述主控制器输出的仪器子图像对应的种类和仪器读数报警信号无线发送给所述护士监控平台，用于将所述主控制器输出的病人的医疗特征种类和身体状况异常报警信号无线发送给所述护士监控平台。More specifically, in the robot system for data collection in wards, it also includes: a static memory for pre-storing image templates of various medical instruments, pointer thresholds of various medical instruments, and various medical characteristics of patients The threshold is also used to pre-store the upper limit gray threshold of the instrument, the lower gray threshold of the instrument, the upper gray threshold of the personnel and the lower gray threshold of the personnel. The various medical characteristic thresholds include the skin color threshold and the posture irregularity threshold. The instrument upper limit gray threshold and the instrument lower limit gray threshold are used to separate the instrument in the image from the background, and the personnel upper gray threshold and the personnel lower gray threshold are used to separate the personnel in the image from the background; The power supply device is used to provide the robot system with power supply for each electric device except the power supply device; the wireless communication device is used to establish a two-way communication link connection with the remote nurse monitoring platform to receive the The control command sent by the nurse monitoring platform; the control motor, which is a DC motor, is connected to the motor drive device, and adjusts its own operating data based on the motor drive signal; line to determine the current position of the robot system; the data acquisition device is a CCD pan-tilt high-definition camera, the lens angle is 0-240 degrees, and the resolution of the collected image is 1920×1080; the data processing device includes image pre-processing unit, instrument reading analysis unit and patient condition analysis unit, the image pre-processing unit, the instrument reading analysis unit and the patient condition analysis unit are respectively implemented by independent FPGA chips, the image pre-processing unit and the The data acquisition device is connected, and edge enhancement processing, wavelet filtering processing and grayscale processing are sequentially performed on the instrument image or the personnel image to generate an instrument grayscale image or a personnel grayscale image, and the instrument reading analysis unit is connected to the The static memory and the image pre-processing unit are respectively connected to identify and form an instrument sub-pattern with grayscale values between the instrument's upper grayscale threshold and the instrument's lower grayscale threshold in the instrument grayscale image Matching the instrument sub-image with the image templates of the various medical instruments one by one to obtain the image template corresponding to the instrument sub-image and the corresponding type, based on the comparison between the instrument sub-image and the corresponding image template As a result, the reading corresponding to the position of the pointer in the sub-image of the instrument is obtained, the patient condition analysis unit is respectively connected to the static memory and the image pre-processing unit, and the gray value in the gray image of the person is The pixels between the upper limit gray threshold of the personnel and the lower gray threshold of the personnel are identified and formed into a personnel sub-pattern, and the various medical characteristics of the personnel in the personnel sub-pattern are identified; the main controller and the static memory , the instrument reading analysis unit and the patient condition analysis unit are respectively connected, and the reading corresponding to the pointer position in the instrument sub-image is compared with the pointer threshold value of the type corresponding to the instrument sub-image, and when the instrument sub-image exceeds the When the pointer threshold of the type corresponding to the image is set, the output instrument sub The type corresponding to the image and output the instrument reading alarm signal, and compare the various medical characteristics of the personnel in the personnel sub-pattern with the various medical characteristic thresholds of the patient one by one. When there is a medical characteristic of the patient, its When the medical characteristics of the personnel in the corresponding personnel sub-pattern exceed their corresponding medical characteristic thresholds, output the patient’s medical characteristic type and output an abnormal physical condition alarm signal; wherein, the wireless communication device is also in communication with the main controller connection, for wirelessly sending the type and instrument reading alarm signal corresponding to the instrument sub-image output by the main controller to the nurse monitoring platform, for sending the patient's medical characteristic type and physical condition output by the main controller The abnormal alarm signal is wirelessly sent to the nurse monitoring platform.
更具体地，在所述用于病房数据采集的机器人系统中，所述机器人系统还包括：显示设备，与所述主控制器连接，用于实时显示与所述主控制器输出的仪器子图像对应的种类和仪器读数报警信号分别对应的提示文字信息，还用于实时显示与所述主控制器输出的病人的医疗特征种类和身体状况异常报警信号分别对应的提示文字信息。More specifically, in the robot system for data collection in wards, the robot system further includes: a display device connected to the main controller for real-time display of the instrument sub-image output by the main controller The prompt text information corresponding to the corresponding type and instrument reading alarm signal is also used for real-time display of the prompt text information corresponding to the patient's medical characteristic type and abnormal physical condition alarm signal output by the main controller.
更具体地，在所述用于病房数据采集的机器人系统中，所述机器人系统还包括：语音播放设备，与所述主控制器连接，用于实时播放与所述主控制器输出的仪器子图像对应的种类和仪器读数报警信号分别对应的语音提示文件，还用于实时播放与所述主控制器输出的病人的医疗特征种类和身体状况异常报警信号分别对应的语音提示文件。More specifically, in the robot system for data collection in wards, the robot system also includes: a voice playback device connected to the main controller for real-time playback of the instrument output from the main controller. The voice prompt files corresponding to the type of the image and the instrument reading alarm signal are also used to play the voice prompt files respectively corresponding to the patient's medical characteristic type and abnormal physical condition alarm signal output by the main controller in real time.
更具体地，在所述用于病房数据采集的机器人系统中，将所述数据采集设备和所述数据处理设备集成在一块电路板上。More specifically, in the robot system for data collection in wards, the data collection device and the data processing device are integrated on one circuit board.
更具体地，在所述用于病房数据采集的机器人系统中，所述显示设备为液晶显示器。More specifically, in the robot system for data collection in wards, the display device is a liquid crystal display.
更具体地，在所述用于病房数据采集的机器人系统中，所述语音播放设备为双声道扬声器。More specifically, in the robot system for data collection in wards, the voice playback device is a two-channel speaker.
附图说明Description of drawings
以下将结合附图对本发明的实施方案进行描述，其中：Embodiments of the present invention will be described below in conjunction with the accompanying drawings, wherein:
图1为根据本发明实施方案示出的用于病房数据采集的机器人系统的结构方框图。Fig. 1 is a structural block diagram of a robot system for collecting data in a ward according to an embodiment of the present invention.
图2为根据本发明实施方案示出的用于病房数据采集的机器人系统的数据处理设备的结构方框图。Fig. 2 is a structural block diagram of a data processing device of a robot system for collecting data in a ward according to an embodiment of the present invention.
具体实施方式detailed description
下面将参照附图对本发明的用于病房数据采集的机器人系统的实施方案进行详细说明。The implementation of the robot system for ward data collection of the present invention will be described in detail below with reference to the accompanying drawings.
需要到病房被护理的病人一般病情较重，他们的身体状况需要被实时监控，例如肤色变化情况和身体姿态情况，同时，需要安装一些监护仪器对病人的生理指数进行采集。Patients who need to be nursed in the ward are generally in serious condition, and their physical condition needs to be monitored in real time, such as skin color changes and body posture. At the same time, some monitoring equipment needs to be installed to collect the patient's physiological index.
医院为了完成病人身体状况检查和监护仪器数据读取两项任务，通常是采取护士长期巡视、主治医生定期查看的方法，然而主治医生都会被安排出诊任务，护士也不能做到24小时无间断监护，因此，仍没有实现全时段的病人监护，病人还是会在某些时段陷入无人照应的尴尬局面，这一问题，即时医院投入再多人力，也是无法得到实际解决的。In order to complete the two tasks of checking the patient's physical condition and reading the data of the monitoring instrument, the hospital usually adopts the method of long-term patrols by nurses and regular checks by the attending doctor. However, the attending doctor will be assigned out-patient tasks, and nurses cannot perform 24-hour uninterrupted monitoring Therefore, full-time patient monitoring has not yet been realized, and patients will still fall into the embarrassing situation of being unattended at certain times. This problem, even if the hospital invests more manpower, cannot be actually solved.
为了脱离这一困境，一些医院从设备上下功夫，例如建设更多的病人护士交互的硬件平台，用于在病人感觉身体不适时，及时呼叫护士前来护理，这种方式虽然起到一定的积极作用，然而，对于重病患者，由于无法自理，还是无法执行与护士交互的动作。In order to get out of this predicament, some hospitals are working hard on equipment, such as building more hardware platforms for patient-nurse interaction, which are used to call nurses in time when patients feel unwell. Function, however, for seriously ill patients, due to their inability to take care of themselves, they still cannot perform actions to interact with nurses.
针对上述不足，本发明搭建了一种用于病房数据采集的机器人系统，采用高精度的图像采集和识别技术完成病人身体状况检查和监护仪器数据读取这两项任务，采用无线通信技术以保证机器人系统与护士监护平台的双向通信，采用巡视线技术确保机器人系统准确移动到病房内的各个采集数据点处，从而以机器人设备自动监护的方式，减轻医护人员的任务量，提高病人的监护质量和效率。In view of the above-mentioned deficiencies, the present invention builds a robot system for ward data acquisition, which uses high-precision image acquisition and recognition technology to complete the two tasks of patient physical condition inspection and monitoring instrument data reading, and uses wireless communication technology to ensure The two-way communication between the robot system and the nurse monitoring platform adopts line-of-sight technology to ensure that the robot system moves accurately to each data collection point in the ward, thereby reducing the workload of medical staff and improving the quality of patient monitoring by means of automatic monitoring of robot equipment and efficiency.
图1为根据本发明实施方案示出的用于病房数据采集的机器人系统的结构方框图，所述机器人系统包括：定位设备1、电机驱动设备2、数据采集设备4、数据处理设备5和主控制器3，所述主控制器3与所述定位设备1、所述电机驱动设备2、所述数据采集设备4和所述数据处理设备5分别连接，所述数据采集设备4和所述数据处理设备5连接。Fig. 1 is a structural block diagram of a robot system for ward data collection shown according to an embodiment of the present invention, said robot system comprising: a positioning device 1, a motor drive device 2, a data collection device 4, a data processing device 5 and a main control device 3, the main controller 3 is respectively connected to the positioning device 1, the motor drive device 2, the data collection device 4 and the data processing device 5, the data collection device 4 and the data processing device Device 5 is connected.
其中，所述数据采集设备4用于采集病房内各个医疗仪器的仪器图像和各个病人的人员图像，所述数据处理设备5基于所述仪器图像确定对应仪器的读数，根据所述人员图像确定对应病人的身体状况，所述主控制器3根据预存的多个数据采集点位置和所述定位设备确定的所述机器人的当前位置，确定所述机器人系统前往所述多个数据采集点的数据采集路径，根据所述数据采集路径向所述电机驱动设备2发送电机驱动信号，还用于分别根据所述对应仪器的读数和所述病人的身体状况确定是否发出相应报警信号。Wherein, the data collection device 4 is used to collect the instrument image of each medical instrument in the ward and the personnel image of each patient, the data processing device 5 determines the reading of the corresponding instrument based on the instrument image, and determines the corresponding The physical condition of the patient, the main controller 3 determines the data collection of the robot system to the multiple data collection points according to the pre-stored multiple data collection point positions and the current position of the robot determined by the positioning device path, according to the data acquisition path to send the motor drive signal to the motor drive device 2, and is also used to determine whether to send a corresponding alarm signal according to the reading of the corresponding instrument and the physical condition of the patient.
接着，继续对本发明的用于病房数据采集的机器人系统的具体结构进行进一步的说明。Next, continue to further describe the specific structure of the robot system for ward data collection of the present invention.
所述机器人系统还包括：静态存储器，用于预先存储了各种医疗仪器的图像模板、各种医疗仪器的指针阈值和病人的各种医疗特征阈值，还用于预先存储仪器上限灰度阈值、仪器下限灰度阈值、人员上限灰度阈值和人员下限灰度阈值，所述各种医疗特征阈值包括肤色阈值和姿态不规范度阈值，所述仪器上限灰度阈值和所述仪器下限灰度阈值用于将图像中的仪器和背景分离，所述人员上限灰度阈值和所述人员下限灰度阈值用于将图像中的人员和背景分离。The robot system also includes: a static memory, which is used to pre-store image templates of various medical instruments, pointer thresholds of various medical instruments and various medical feature thresholds of patients, and is also used to pre-store the upper limit gray threshold of the instrument, The lower grayscale threshold of the instrument, the upper grayscale threshold of the personnel and the lower grayscale threshold of the personnel, the various medical feature thresholds include the skin color threshold and the posture irregularity threshold, the upper grayscale threshold of the instrument and the lower grayscale threshold of the instrument are used to separate the instrument from the background in the image, and the upper gray threshold of the person and the lower gray threshold of the person are used to separate the person from the background in the image.
所述机器人系统还包括：电力供应设备，用于为所述机器人系统提供除了电力供应设备以外的各个用电设备的电力供应。The robot system further includes: a power supply device, configured to provide the robot system with power supply for each electrical device except the power supply device.
所述机器人系统还包括：无线通信设备，用于与远端的护士监控平台建立双向通信链路连接，以接收所述护士监控平台发送的控制指令。The robot system also includes: a wireless communication device, configured to establish a two-way communication link connection with the remote nurse monitoring platform, so as to receive control instructions sent by the nurse monitoring platform.
所述机器人系统还包括：控制电机，为直流电机，与所述电机驱动设备2连接，基于所述电机驱动信号调整自身的运行数据。The robot system also includes: a control motor, which is a DC motor, connected to the motor drive device 2, and adjusts its own operating data based on the motor drive signal.
所述定位设备1通过检测病房内预设在地面上的巡视线，确定所述机器人系统的当前位置。The positioning device 1 determines the current position of the robot system by detecting the patrol line preset on the ground in the ward.
所述数据采集设备4为CCD云台高清摄像机，镜头转角为0-240度，采集的图像分辨率为1920×1080。The data acquisition device 4 is a CCD pan-tilt high-definition camera with a lens rotation angle of 0-240 degrees, and the collected image resolution is 1920×1080.
如图2所示，所述数据处理设备5包括图像先期处理单元51、仪器读数分析单元52和病人状况分析单元53，所述图像先期处理单元51、所述仪器读数分析单元52和所述病人状况分析单元53分别采用独立的FPGA芯片来实现。As shown in Figure 2, the data processing device 5 includes an image pre-processing unit 51, an instrument reading analysis unit 52, and a patient condition analysis unit 53, and the image pre-processing unit 51, the instrument reading analysis unit 52 and the patient The status analysis unit 53 is implemented by using independent FPGA chips respectively.
所述图像先期处理单元51与所述数据采集设备4连接，对所述仪器图像或所述人员图像依次执行边缘增强处理、小波滤波处理和灰度化处理，以生成仪器灰度图像或人员灰度图像，所述仪器读数分析单元52与所述静态存储器和所述图像先期处理单元51分别连接，将所述仪器灰度图像中灰度值在所述仪器上限灰度阈值和所述仪器下限灰度阈值之间的像素识别并组成仪器子图案，将所述仪器子图像与所述各种医疗仪器的图像模板逐一匹配以获得所述仪器子图像对应的图像模板和对应的种类，基于所述仪器子图像和所述对应的图像模板的比较结果，获得所述仪器子图像中指针位置所对应的读数。The image pre-processing unit 51 is connected to the data acquisition device 4, and sequentially performs edge enhancement processing, wavelet filtering processing, and grayscale processing on the instrument image or the personnel image to generate an instrument grayscale image or personnel grayscale image. The instrument reading analysis unit 52 is connected to the static memory and the image pre-processing unit 51 respectively, and the gray value in the instrument gray image is between the upper limit gray threshold of the instrument and the lower limit of the instrument The pixels between the grayscale thresholds are identified and composed of instrument sub-patterns, and the instrument sub-images are matched with the image templates of the various medical instruments one by one to obtain the corresponding image templates and corresponding types of the instrument sub-images. The comparison result of the instrument sub-image and the corresponding image template is used to obtain the reading corresponding to the position of the pointer in the instrument sub-image.
所述病人状况分析单元53与所述静态存储器和所述图像先期处理单元51分别连接，将所述人员灰度图像中灰度值在所述人员上限灰度阈值和所述人员下限灰度阈值之间的像素识别并组成人员子图案，识别所述人员子图案中的人员的各种医疗特征。The patient condition analysis unit 53 is respectively connected to the static memory and the image pre-processing unit 51, and the gray value in the gray image of the person is between the upper limit gray threshold of the person and the lower gray threshold of the person The pixels in between identify and compose a sub-pattern of persons identifying various medical characteristics of the persons in the sub-pattern of persons.
所述主控制器3与所述静态存储器、所述仪器读数分析单元52和所述病人状况分析单元53分别连接，将所述仪器子图像中指针位置所对应的读数与所述仪器子图像对应的种类的指针阈值比较，在超出所述仪器子图像对应的种类的指针阈值时，输出仪器子图像对应的种类并输出仪器读数报警信号，将所述人员子图案中的人员的各种医疗特征与所述病人的各种医疗特征阈值按种类逐一对比，当存在病人的一种医疗特征，其对应的所述人员子图案中的人员的医疗特征超出其对应的医疗特征阈值时，输出病人的医疗特征种类并输出身体状况异常报警信号。The main controller 3 is respectively connected to the static memory, the instrument reading analysis unit 52 and the patient condition analysis unit 53, and corresponds the reading corresponding to the position of the pointer in the instrument sub-image to the instrument sub-image Compared with the pointer threshold value of the type of the instrument sub-image, when the pointer threshold value of the type corresponding to the instrument sub-image is exceeded, the type corresponding to the instrument sub-image is output and an instrument reading alarm signal is output, and the various medical characteristics of the personnel in the personnel sub-pattern Compared with the various medical characteristic thresholds of the patient one by one, when there is a medical characteristic of the patient, and the corresponding medical characteristic of the person in the personnel sub-pattern exceeds the corresponding medical characteristic threshold, the patient’s medical characteristic threshold is output. Types of medical features and output an alarm signal for abnormal physical conditions.
其中，所述无线通信设备还与所述主控制器3连接，用于将所述主控制器3输出的仪器子图像对应的种类和仪器读数报警信号无线发送给所述护士监控平台，用于将所述主控制器3输出的病人的医疗特征种类和身体状况异常报警信号无线发送给所述护士监控平台。Wherein, the wireless communication device is also connected with the main controller 3, and is used to wirelessly send the type and the instrument reading alarm signal corresponding to the instrument sub-image output by the main controller 3 to the nurse monitoring platform, for The patient's medical feature category and abnormal physical condition alarm signal output by the main controller 3 are wirelessly sent to the nurse monitoring platform.
其中，所述机器人系统还可以包括：显示设备，与所述主控制,3连接，用于实时显示与所述主控制器3输出的仪器子图像对应的种类和仪器读数报警信号分别对应的提示文字信息，还用于实时显示与所述主控制器3输出的病人的医疗特征种类和身体状况异常报警信号分别对应的提示文字信息；所述机器人系统还可以包括：语音播放设备，与所述主控制器3连接，用于实时播放与所述主控制器3输出的仪器子图像对应的种类和仪器读数报警信号分别对应的语音提示文件，还用于实时播放与所述主控制器3输出的病人的医疗特征种类和身体状况异常报警信号分别对应的语音提示文件；可以选择将所述数据采集设备4和所述数据处理设备5集成在一块电路板上，所述显示设备可选为液晶显示器，所述语音播放设备可选为双声道扬声器。Wherein, the robot system may also include: a display device, connected to the main controller 3, for displaying in real time the prompt corresponding to the type of the instrument sub-image output by the main controller 3 and the instrument reading alarm signal respectively The text information is also used to display in real time the prompt text information corresponding to the patient's medical feature category and abnormal physical condition alarm signal output by the main controller 3; The main controller 3 is connected, and is used for playing in real time the voice prompt file corresponding to the type of the instrument sub-image output by the main controller 3 and the instrument reading alarm signal respectively, and is also used for real-time playback and output of the main controller 3 The voice prompt files corresponding to the patient's medical characteristic types and abnormal physical condition alarm signals respectively; the data acquisition device 4 and the data processing device 5 can be selected to be integrated on a circuit board, and the display device can be optionally a liquid crystal display, and the voice playback device may be a two-channel speaker.
另外，病房是医院为患病情况较为严重的病人提供护理和治疗的场所，一般设置在医院门诊部门附近，其中更严重的病重患者还会安排到重症监护室内以加强监控和护理，保障对病人的治疗质量和效果。In addition, the ward is the place where the hospital provides care and treatment for patients with serious illnesses. It is generally set up near the outpatient department of the hospital. The more seriously ill patients will be arranged in the intensive care unit to strengthen monitoring and care, and to ensure the The quality and effectiveness of patient care.
重症监护室，又称作为加护病房，简称ICU。危重病的监护与治疗是近年来兴起的一门临床学科，宗旨是为危及生命的急性重症病人提供技术和高质量的医疗服务，即对危急重症的病人进行生理机能的监测、生命支持、防治并发症，促进和加快病人的康复过程，这是续复苏后的一种更高层次的医疗服务，是社会现代化和医学科学发展的必然趋势。近年来，随着高新科技的不断进步，多种检测和支持设备广泛应用于临床，ICU病房的普及与规范，人们对生命生理机能的了解也逐渐完善，因此，提高了对衰竭器官的支持和保护能力，使危急重病的抢救成功率明显提高，许多危急重症的病人在严密监护与精心治疗下，度过了生命中最困难的时刻，而逐渐走向康复。同时，也带动和促进了其他临床学科的进步和发展。Intensive Care Unit, also known as Intensive Care Unit, or ICU for short. The monitoring and treatment of critical illness is a clinical discipline that has emerged in recent years. Complications, to promote and speed up the patient's recovery process, which is a higher level of medical services after recovery, is an inevitable trend of social modernization and medical science development. In recent years, with the continuous advancement of high-tech, a variety of detection and support equipment are widely used in clinical practice, the popularization and standardization of ICU wards, and people's understanding of life physiological functions have gradually improved. Therefore, the support and support for failing organs have been improved. The ability to protect has significantly improved the success rate of rescue of critically ill patients. Under strict monitoring and careful treatment, many critically ill patients have passed the most difficult time in their lives and are gradually recovering. At the same time, it also drives and promotes the progress and development of other clinical disciplines.
另外，图像识别，是指利用计算机对图像进行处理、分析和理解，以识别各种不同模式的目标和对像的技术。一般工业使用中，采用工业相机拍摄图片，然后再利用软件根据图片灰阶差做进一步识别处理。In addition, image recognition refers to the technology of using computers to process, analyze and understand images to identify targets and objects in various patterns. In general industrial use, industrial cameras are used to take pictures, and then software is used for further recognition processing based on the gray scale difference of the pictures.
图像识别可能是以图像的主要特征为基础的。每个图像都有它的特征,如字母A有个尖，P有个圈、而Y的中心有个锐角等。对图像识别时眼动的研究表明，视线总是集中在图像的主要特征上，也就是集中在图像轮廓曲度最大或轮廓方向突然改变的地方，这些地方的信息量最大。而且眼睛的扫描路线也总是依次从一个特征转到另一个特征上。由此可见，在图像识别过程中，知觉机制必须排除输入的多余信息，抽出关键的信息。在人类图像识别系统中，对复杂图像的识别往往要通过不同层次的信息加工才能实现。对于熟悉的图形，由于掌握了它的主要特征，就会把他当作一个单元来识别，而不再注意他的细节了。这种由孤立的单元材料组成的整体单位叫做组块，每一个组块是同时被感知的。在文字材料的识别中，人们不仅可以把一个汉字的笔划或偏旁等单元组成一个组块，而且能把经常在一起出现的字或词组成组块单位来加以识别。Image recognition may be based on the main features of the image. Each image has its characteristics, such as the letter A has a point, P has a circle, and the center of Y has an acute angle, etc. The research on eye movement during image recognition shows that the sight is always focused on the main features of the image, that is, the place where the contour curvature of the image is the largest or the direction of the contour changes suddenly, and the amount of information in these places is the largest. Moreover, the scanning route of the eye is always sequentially transferred from one feature to another. It can be seen that in the process of image recognition, the perception mechanism must eliminate redundant input information and extract key information. In the human image recognition system, the recognition of complex images is often realized through different levels of information processing. For a familiar figure, because you have mastered its main features, you will recognize it as a unit and no longer pay attention to its details. This overall unit composed of isolated unit materials is called a block, and each block is perceived at the same time. In the recognition of written materials, people can not only form a unit such as strokes or radicals of a Chinese character into a block, but also recognize words or words that often appear together into a block unit.
采用本发明的用于病房数据采集的机器人系统，针对现有病房护理模式覆盖时段范围窄、需要大量人工劳作的技术问题，引入有针对性的图像采集和图像识别技术对病房的病人和仪器的相关数据进行采集和精确特征识别，并在数据异常时提供报警机制，以机器监控模式替代传统的人工监控模式，提高了病房护理的智能化水平。Adopting the robot system for ward data acquisition of the present invention, aiming at the technical problems that the existing ward nursing mode covers a narrow range of time and requires a large amount of manual labor, the targeted image acquisition and image recognition technology is introduced to the patients and instruments in the ward. Relevant data is collected and accurately identified, and an alarm mechanism is provided when the data is abnormal, and the traditional manual monitoring mode is replaced by the machine monitoring mode, which improves the intelligent level of ward nursing.
可以理解的是，虽然本发明已以较佳实施例披露如上，然而上述实施例并非用以限定本发明。对于任何熟悉本领域的技术人员而言，在不脱离本发明技术方案范围情况下，都可利用上述揭示的技术内容对本发明技术方案做出许多可能的变动和修饰，或修改为等同变化的等效实施例。因此，凡是未脱离本发明技术方案的内容，依据本发明的技术实质对以上实施例所做的任何简单修改、等同变化及修饰，均仍属于本发明技术方案保护的范围内。It can be understood that although the present invention has been disclosed above with preferred embodiments, the above embodiments are not intended to limit the present invention. For any person skilled in the art, without departing from the scope of the technical solution of the present invention, the technical content disclosed above can be used to make many possible changes and modifications to the technical solution of the present invention, or to be modified into equivalent changes, etc. effective example. Therefore, any simple modifications, equivalent changes and modifications made to the above embodiments according to the technical essence of the present invention, which do not deviate from the technical solution of the present invention, still fall within the protection scope of the technical solution of the present invention.
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| CN201510629577.3ACN105204416B (en) | 2015-01-24 | 2015-01-24 | A kind of for ward collecting method |
| CN201510036027.0ACN104503419B (en) | 2015-01-24 | 2015-01-24 | A method for collecting data in a ward |
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