WO2022007128A1 - 利用内容解析的压迫区域识别平台及方法 - Google Patents

利用内容解析的压迫区域识别平台及方法 Download PDF

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WO2022007128A1
WO2022007128A1 PCT/CN2020/109758 CN2020109758W WO2022007128A1 WO 2022007128 A1 WO2022007128 A1 WO 2022007128A1 CN 2020109758 W CN2020109758 W CN 2020109758W WO 2022007128 A1 WO2022007128 A1 WO 2022007128A1
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skin
analysis
compression
image
imaging
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PCT/CN2020/109758
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French (fr)
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胡飞青
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胡飞青
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Priority to US17/428,571 priority Critical patent/US20220254043A1/en
Publication of WO2022007128A1 publication Critical patent/WO2022007128A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B17/00—Surgical instruments, devices or methods, e.g. tourniquets
    • A61B17/34—Trocars; Puncturing needles
    • A61B17/3403—Needle locating or guiding means
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B90/00—Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups A61B1/00 - A61B50/00, e.g. for luxation treatment or for protecting wound edges
    • A61B90/36—Image-producing devices or illumination devices not otherwise provided for
    • A61B90/37—Surgical systems with images on a monitor during operation
    • G06T5/92—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B90/00—Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups A61B1/00 - A61B50/00, e.g. for luxation treatment or for protecting wound edges
    • A61B90/36—Image-producing devices or illumination devices not otherwise provided for
    • A61B90/361—Image-producing devices, e.g. surgical cameras
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20024—Filtering details
    • G06T2207/20028—Bilateral filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30088—Skin; Dermal

Definitions

  • the invention relates to the field of surgical monitoring, in particular to a compression area identification platform and method using content analysis.
  • Surgery refers to the removal and suturing of a patient's body by a doctor with a medical device.
  • It is the main treatment method of surgery, commonly known as "surgery”.
  • the purpose is to treat or diagnose diseases, such as removing diseased tissue, repairing damage, transplanting organs, improving the function and shape of the body, etc.
  • the present invention provides a compression area identification platform using content analysis, which can quickly identify the skin compression area at the surgical puncture position and perform an on-site signal alarm, thereby reminding medical personnel to perform a puncture position. Adjust or replace the puncture position to avoid injury to the patient and ensure the normal operation of the operation.
  • the skin area is first detected to perform a live search of the compression area within the skin area.
  • a pressure area identification platform using content parsing comprising:
  • the compression recognition device is connected to the skin analysis device, and is used for acquiring each imaging depth of field value of each skin imaging pixel point in the skin imaging area, and performing mean calculation on each imaging depth of field value to obtain a reference depth of field;
  • the compression identification device is further configured to have the following areas in the skin imaging area, where the imaging depth of field value is greater than the reference depth of field and the magnitude of the skin imaging pixel points exceeds a preset amplitude threshold. signal, otherwise, send out a signal that the compression area is not identified;
  • the high-definition capture mechanism is used to perform a high-definition capture action on the puncture position of the patient's intubation, so as to obtain and output the corresponding intubation scene image;
  • an image rendering device connected to the high-definition capture mechanism, for performing image rendering processing on the received intubation scene image, so as to obtain and output a corresponding current rendered image
  • a gamma correction device connected to the image rendering device, for performing gamma correction processing on the received currently rendered image to obtain and output a corresponding gamma corrected image
  • a content-enriching device connected to the gamma correction device, for performing bilinear interpolation processing on the received gamma-corrected image to obtain and output a corresponding content-processed image;
  • a skin analysis device connected to the content enrichment device, for identifying skin imaging pixels in the content processing image, and outputting the area occupied by each skin imaging pixel in the content processing image as a skin imaging area;
  • the red component value of the skin imaging pixel point falls within the red component range, the red component value falls within the red component range, and the red component value falls within the red component range, and the red component range,
  • the blue component range and the green component range are used to define the yellow range that the skin imaging area presents.
  • a compression area identification method using content analysis comprising using the above-mentioned compression area identification platform using content analysis to realize the puncture position of the patient according to the analysis result of the scene signal Real-time monitoring of the skin compression area.
  • the pressure area identification platform and method using content analysis of the present invention is reliable in monitoring and widely used. Since the skin compression area at the surgical puncture position can be quickly identified and an alarm of the on-site signal is performed, the medical staff can be reminded to adjust the instrument at the puncture position or replace the puncture position.
  • the skin is divided into two layers, the epidermis and the dermis.
  • the epidermis is on the surface of the skin and can be divided into two parts: the stratum corneum and the germinal layer.
  • the keratinized cells form the stratum corneum, which becomes dandruff after shedding.
  • the cells of the germinal layer divide continuously to replenish the exfoliated stratum corneum.
  • the germinal layer has melanocytes, which produce melanin that prevents UV rays from damaging the internal tissues.
  • the epidermis is a stratified squamous epithelium, and the dermis is a dense connective tissue with many elastic fibers and collagen fibers, so it has elasticity and toughness.
  • the dermis is thicker than the epidermis and is rich in blood vessels and nerves.
  • the skin also has many appendages such as hair, sweat glands, sebaceous glands, and finger (toe) nails.
  • the present invention builds a compression area identification platform and method using content analysis, which can effectively solve the corresponding technical problems.
  • the compression area identification platform using content parsing includes:
  • the compression recognition device is connected to the skin analysis device, and is used for acquiring each imaging depth of field value of each skin imaging pixel point in the skin imaging area, and performing mean calculation on each imaging depth of field value to obtain a reference depth of field;
  • the compression identification device is further configured to have the following areas in the skin imaging area, where the imaging depth of field value is greater than the reference depth of field and the magnitude of the skin imaging pixel points exceeds a preset amplitude threshold. signal, otherwise, send out a signal that the compression area is not identified;
  • the high-definition capture mechanism is used to perform a high-definition capture action on the puncture position of the patient's intubation, so as to obtain and output the corresponding intubation scene image;
  • an image rendering device connected to the high-definition capture mechanism, for performing image rendering processing on the received intubation scene image, so as to obtain and output a corresponding current rendered image
  • a gamma correction device connected to the image rendering device, for performing gamma correction processing on the received currently rendered image to obtain and output a corresponding gamma corrected image
  • a content-enriching device connected to the gamma correction device, for performing bilinear interpolation processing on the received gamma-corrected image to obtain and output a corresponding content-processed image;
  • a skin analysis device connected to the content enrichment device, for identifying skin imaging pixels in the content processing image, and outputting the area occupied by each skin imaging pixel in the content processing image as a skin imaging area;
  • the red component value of the skin imaging pixel point falls within the red component range, the red component value falls within the red component range, and the red component value falls within the red component range, and the red component range,
  • the blue component range and the green component range are used to define the yellow range that the skin imaging area presents.
  • the skin analysis device, the image rendering device, the gamma correction device, and the content enrichment device are all arranged in an instrument box near the patient's bed.
  • the skin analysis device is implemented by a programmable logic device, and the programmable logic device is designed by using VHDL.
  • the image rendering device is a DSP processing chip, and the DSP processing chip has a built-in timer and a ROM memory.
  • Data connection and data interaction are performed between the skin analysis device and the image rendering device through a 16-bit parallel data interface.
  • the skin analysis device and the image rendering device share the same on-site timing device and the same power supply input device.
  • a data cache device is further provided between the skin analysis device and the image rendering device;
  • the data caching device is respectively connected with the skin analysis device and the image rendering device through two data interfaces.
  • the pressure area identification platform utilizing content analysis may further include:
  • an SRAM memory chip arranged between the skin analysis device and the image rendering device, and connected to the skin analysis device and the image rendering device respectively;
  • the SRAM memory chip is used to store the current output data of the skin analysis device and the image rendering device respectively;
  • the SRAM memory chip is used to store the current input data of the skin analysis device and the image rendering device respectively.
  • the pressure area identification platform utilizing content analysis may further include:
  • a GPRS communication interface connected with the skin analysis device, for sending the current sending data of the skin analysis device through a GPRS communication line;
  • the SRAM memory chip is further configured to store the red component range, the blue component range and the green component range.
  • the present invention also builds a compression area identification method using content analysis.
  • the method includes using the above-mentioned compression area identification platform using content analysis to achieve puncture on the patient according to the analysis result of the on-site signal. Real-time monitoring of the location of the skin compression area.
  • the DSP processing chip also called a digital signal processor, is a microprocessor that is particularly suitable for performing digital signal processing operations, and its main application is to realize various digital signal processing algorithms quickly and in real time.
  • DSP processing chips generally have the following main characteristics: (1) One multiplication and one addition can be completed in one instruction cycle; (2) The program and data space are separated, and instructions and data can be accessed at the same time; (3) ) On-chip fast RAM, usually accessible simultaneously in two blocks via separate data buses; (4) Hardware support with low-overhead or no-overhead loops and jumps; (5) Fast interrupt handling and hardware I/O Support; (6) have multiple hardware address generators operating in a single cycle; (7) can perform multiple operations in parallel; (8) support pipeline operations, so that operations such as instruction fetch, decode and execute can be overlapped.

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Abstract

一种利用内容解析的压迫区域识别平台及方法，压迫区域识别平台包括：压迫识别设备，用于获取皮肤成像区域中各个皮肤成像像素点的各个成像景深值，对各个成像景深值进行均值计算以获得参考景深；压迫识别设备还用于在皮肤成像区域中存在以下区域，其中成像景深值大于参考景深的幅度超过预设幅度阈值的皮肤成像像素点的数量超限，则发出压迫区域识别信号，否则，发出压迫区域未识别信号。利用内容解析的压迫区域识别平台及方法监控可靠、应用广泛。由于能够迅速识别到手术穿刺位置的皮肤压迫区域并执行现场信号的报警，从而提醒医务人员进行穿刺位置的器械调整或穿刺位置的更换。

Description

利用内容解析的压迫区域识别平台及方法 技术领域
本发明涉及手术监控领域，尤其涉及一种利用内容解析的压迫区域识别平台及方法。
背景技术
手术指医生用医疗器械对病人身体进行的切除、缝合等治疗。以刀、剪、针等器械在人体局部进行的操作，来维持患者的健康。是外科的主要治疗方法，俗称“开刀”。目的是医治或诊断疾病，如去除病变组织、修复损伤、移植器官、改善机体的功能和形态等。
早期手术仅限于用简单的手工方法，在体表进行切、割、缝，如脓肿引流、肿物切除、外伤缝合等。故手术是一种破坏组织完整性(切开)，或使完整性受到破坏的组织复原(缝合)的操作。随着外科学的发展，手术领域不断扩大，已能在人体任何部位进行。应用的器械也不断更新，如手术刀即有电刀、微波刀、超声波刀及激光刀等多种。因之手术也有更广泛的含义。
发明内容
为了解决相关领域的技术问题，本发明提供了一种利用内容解析的压迫区域识别平台，能够迅速识别到手术穿刺位置的皮肤压迫区域并执行现场信号的报警，从而提醒医务人员进行穿刺位置的器械调整或穿刺位置的更换，避免给病人造成伤害，保证手术的正常进行。
为此，本发明至少需要具备以下几处关键的发明点：
(1)基于皮肤压迫区域的成像特性对病人插管的穿刺位置执行针对性的压迫区域的解析，以在存在压迫区域时，执行相应的信号报警操作， 从而有效避免对病人造成的二次伤害；
(2)为了限定压迫区域的检测范围，先对皮肤区域进行检测，以在皮肤区域内执行压迫区域的现场搜索。
根据本发明的一方面，提供了一种利用内容解析的压迫区域识别平台，所述平台包括：
压迫识别设备，与皮肤分析设备连接，用于获取皮肤成像区域中各个皮肤成像像素点的各个成像景深值，对所述各个成像景深值进行均值计算以获得参考景深；
所述压迫识别设备还用于在所述皮肤成像区域中存在以下区域，其中成像景深值大于所述参考景深的幅度超过预设幅度阈值的皮肤成像像素点的数量超限，则发出压迫区域识别信号，否则，发出压迫区域未识别信号；
高清抓拍机构，用于对病人的插管的穿刺位置执行高清抓拍动作，以获得并输出相应的插管场景图像；
图像渲染设备，与所述高清抓拍机构连接，用于对接收到的插管场景图像执行图像渲染处理，以获得并输出相应的当前渲染图像；
伽马校正设备，与所述图像渲染设备连接，用于对接收到的当前渲染图像执行伽马校正处理，以获得并输出相应的伽马校正图像；
内容丰富设备，与所述伽马校正设备连接，用于对接收到的伽马校正图像执行双线性插值处理，以获得并输出相应的内容处理图像；
皮肤分析设备，与所述内容丰富设备连接，用于识别所述内容处理图像中的皮肤成像像素点，并将各个皮肤成像像素点在所述内容处理图像中占据的区域作为皮肤成像区域输出；
其中，在所述皮肤分析设备中，所述皮肤成像像素点的红色分量值落 在红色分量范围、红色分量值落在红色分量范围以及红色分量值落在红色分量范围，所述红色分量范围、所述蓝色分量范围以及所述绿色分量范围用于限定出皮肤成像区域呈现的黄色范围。
根据本发明的另一方面，还提供了一种利用内容解析的压迫区域识别方法，所述方法包括使用如上述的利用内容解析的压迫区域识别平台以根据现场信号的分析结果实现对病人穿刺位置的皮肤压迫区域的实时监测。
本发明的利用内容解析的压迫区域识别平台及方法监控可靠、应用广泛。由于能够迅速识别到手术穿刺位置的皮肤压迫区域并执行现场信号的报警，从而提醒医务人员进行穿刺位置的器械调整或穿刺位置的更换。
具体实施方式
下面将对本发明的利用内容解析的压迫区域识别平台及方法的实施方案进行详细说明。
皮肤分表皮和真皮两层，表皮在皮肤表面，又可分成角质层和生发层两部分。已经角质化的细胞组成角质层，脱落后就成为皮屑。生发层细胞不断分裂，能补充脱落的角质层。生发层有黑色素细胞，产生的黑色素可以防止紫外线损伤内部组织。表皮属复层扁平上皮，真皮则是致密结缔组织，有许多弹力纤维和胶原纤维，故有弹性和韧性。真皮比表皮厚，有丰富的血管和神经。皮肤下面有皮下组织，属疏松结缔组织，有大量脂肪细胞。皮肤还有毛发、汗腺、皮脂腺、指(趾)甲等许多附属物。
在执行手术过程中，如果输液管道或者抽血管道的埋入的皮肤区域出现皮肤压迫的状态，需要及时进行现场管道校正，避免长期皮肤压迫对病人造成不适和危害。然而，现有技术中并不存在相关的识别机制。
为了克服上述不足，本发明搭建了一种利用内容解析的压迫区域识别平台及方法，能够有效解决相应的技术问题。
根据本发明实施方案示出的利用内容解析的压迫区域识别平台包括：
压迫识别设备，与皮肤分析设备连接，用于获取皮肤成像区域中各个皮肤成像像素点的各个成像景深值，对所述各个成像景深值进行均值计算以获得参考景深；
所述压迫识别设备还用于在所述皮肤成像区域中存在以下区域，其中成像景深值大于所述参考景深的幅度超过预设幅度阈值的皮肤成像像素点的数量超限，则发出压迫区域识别信号，否则，发出压迫区域未识别信号；
高清抓拍机构，用于对病人的插管的穿刺位置执行高清抓拍动作，以获得并输出相应的插管场景图像；
图像渲染设备，与所述高清抓拍机构连接，用于对接收到的插管场景图像执行图像渲染处理，以获得并输出相应的当前渲染图像；
伽马校正设备，与所述图像渲染设备连接，用于对接收到的当前渲染图像执行伽马校正处理，以获得并输出相应的伽马校正图像；
内容丰富设备，与所述伽马校正设备连接，用于对接收到的伽马校正图像执行双线性插值处理，以获得并输出相应的内容处理图像；
皮肤分析设备，与所述内容丰富设备连接，用于识别所述内容处理图像中的皮肤成像像素点，并将各个皮肤成像像素点在所述内容处理图像中占据的区域作为皮肤成像区域输出；
其中，在所述皮肤分析设备中，所述皮肤成像像素点的红色分量值落在红色分量范围、红色分量值落在红色分量范围以及红色分量值落在红色分量范围，所述红色分量范围、所述蓝色分量范围以及所述绿色分量范围用于限定出皮肤成像区域呈现的黄色范围。
接着，继续对本发明的利用内容解析的压迫区域识别平台的具体结构进行进一步的说明。
所述利用内容解析的压迫区域识别平台中：
所述皮肤分析设备、所述图像渲染设备、所述伽马校正设备和所述内容丰富设备都设置在病人所在病床附近的仪表箱内。
所述利用内容解析的压迫区域识别平台中：
所述皮肤分析设备采用可编程逻辑器件来实现，所述可编程逻辑器件采用VHDL进行设计。
所述利用内容解析的压迫区域识别平台中：
所述图像渲染设备为DSP处理芯片，所述DSP处理芯片内置有定时器和ROM存储器。
所述利用内容解析的压迫区域识别平台中：
所述皮肤分析设备和所述图像渲染设备之间通过16位并行数据接口进行数据连接和数据交互。
所述利用内容解析的压迫区域识别平台中：
所述皮肤分析设备和所述图像渲染设备共用同一现场计时设备和共用同一供电输入设备。
所述利用内容解析的压迫区域识别平台中：
所述皮肤分析设备和所述图像渲染设备之间还设置有数据缓存设备；
其中，所述数据缓存设备通过两个数据接口分别与所述皮肤分析设备和所述图像渲染设备连接。
所述利用内容解析的压迫区域识别平台中还可以包括：
SRAM存储芯片，设置在所述皮肤分析设备和所述图像渲染设备之间，分别与所述皮肤分析设备和所述图像渲染设备连接；
其中，所述SRAM存储芯片用于分别存储所述皮肤分析设备和所述图像渲染设备的当前输出数据；
其中，所述SRAM存储芯片用于分别存储所述皮肤分析设备和所述图像渲染设备的当前输入数据。
所述利用内容解析的压迫区域识别平台中还可以包括：
GPRS通信接口，与所述皮肤分析设备连接，用于将所述皮肤分析设备的当前发送数据通过GPRS通信线路进行发送；
其中，所述SRAM存储芯片还用于存储所述红色分量范围、所述蓝色分量范围以及所述绿色分量范围。
同时，为了克服上述不足，本发明还搭建了一种利用内容解析的压迫区域识别方法，所述方法包括使用如上述的利用内容解析的压迫区域识别平台以根据现场信号的分析结果实现对病人穿刺位置的皮肤压迫区域的实时监测。
另外，所述DSP处理芯片，也称数字信号处理器，是一种特别适合于进行数字信号处理运算的微处理器，其主要应用是实时快速地实现各种数字信号处理算法。
根据数字信号处理的要求，DSP处理芯片一般具有如下主要特点：(1)在一个指令周期内可完成一次乘法和一次加法；(2)程序和数据空间分开，可以同时访问指令和数据；(3)片内具有快速RAM，通常可通过独立的数据总线在两块中同时访问；(4)具有低开销或无开销循环及跳转的硬件支持；(5)快速的中断处理和硬件I/O支持；(6)具有在单周期内操作的多个硬件地址产生器；(7)可以并行执行多个操作；(8)支持流水线操作，使取指、译码和执行等操作可以重叠执行。
本领域普通技术人员可以理解：实现上述方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成，前述的程序可以存储于一计算机可读取存储介质中，该程序在执行时，执行包括上述方法实施例的步骤；而前述的存储介质包括：只读内存(英文：Read-Only Memory，简称：ROM)、 随机存取存储器(英文：Random Access Memory，简称：RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
最后应说明的是：以上各实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述各实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分或者全部技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的范围。

Claims (10)

  1. 一种利用内容解析的压迫区域识别平台，所述平台包括：
    压迫识别设备，与皮肤分析设备连接，用于获取皮肤成像区域中各个皮肤成像像素点的各个成像景深值，对所述各个成像景深值进行均值计算以获得参考景深；
    所述压迫识别设备还用于在所述皮肤成像区域中存在以下区域，其中成像景深值大于所述参考景深的幅度超过预设幅度阈值的皮肤成像像素点的数量超限，则发出压迫区域识别信号，否则，发出压迫区域未识别信号；
    高清抓拍机构，用于对病人的插管的穿刺位置执行高清抓拍动作，以获得并输出相应的插管场景图像；
    图像渲染设备，与所述高清抓拍机构连接，用于对接收到的插管场景图像执行图像渲染处理，以获得并输出相应的当前渲染图像；
    伽马校正设备，与所述图像渲染设备连接，用于对接收到的当前渲染图像执行伽马校正处理，以获得并输出相应的伽马校正图像；
    内容丰富设备，与所述伽马校正设备连接，用于对接收到的伽马校正图像执行双线性插值处理，以获得并输出相应的内容处理图像；
    皮肤分析设备，与所述内容丰富设备连接，用于识别所述内容处理图像中的皮肤成像像素点，并将各个皮肤成像像素点在所述内容处理图像中占据的区域作为皮肤成像区域输出；
    其中，在所述皮肤分析设备中，所述皮肤成像像素点的红色分量值落在红色分量范围、红色分量值落在红色分量范围以及红色分量值落在红色分量范围，所述红色分量范围、所述蓝色分量范围以及所述绿色分量范围用于限定出皮肤成像区域呈现的黄色范围。
  2. 如权利要求1所述的利用内容解析的压迫区域识别平台，其特征在于：
    所述皮肤分析设备、所述图像渲染设备、所述伽马校正设备和所述内容丰富设备都设置在病人所在病床附近的仪表箱内。
  3. 如权利要求2所述的利用内容解析的压迫区域识别平台，其特征在于：
    所述皮肤分析设备采用可编程逻辑器件来实现，所述可编程逻辑器件采用VHDL进行设计。
  4. 如权利要求3所述的利用内容解析的压迫区域识别平台，其特征在于：
    所述图像渲染设备为DSP处理芯片，所述DSP处理芯片内置有定时器和ROM存储器。
  5. 如权利要求4所述的利用内容解析的压迫区域识别平台，其特征在于：
    所述皮肤分析设备和所述图像渲染设备之间通过16位并行数据接口进行数据连接和数据交互。
  6. 如权利要求5所述的利用内容解析的压迫区域识别平台，其特征在于：
    所述皮肤分析设备和所述图像渲染设备共用同一现场计时设备和共用同一供电输入设备。
  7. 如权利要求6所述的利用内容解析的压迫区域识别平台，其特征在于：
    所述皮肤分析设备和所述图像渲染设备之间还设置有数据缓存设备；
    其中，所述数据缓存设备通过两个数据接口分别与所述皮肤分析设备和所述图像渲染设备连接。
  8. 如权利要求7所述的利用内容解析的压迫区域识别平台，其特征在于，所述平台还包括：
    SRAM存储芯片，设置在所述皮肤分析设备和所述图像渲染设备之间，分别与所述皮肤分析设备和所述图像渲染设备连接；
    其中，所述SRAM存储芯片用于分别存储所述皮肤分析设备和所述图像渲染设备的当前输出数据；
    其中，所述SRAM存储芯片用于分别存储所述皮肤分析设备和所述图像渲染设备的当前输入数据。
  9. 如权利要求8所述的利用内容解析的压迫区域识别平台，其特征在于，所述平台还包括：
    GPRS通信接口，与所述皮肤分析设备连接，用于将所述皮肤分析设备的当前发送数据通过GPRS通信线路进行发送；
    其中，所述SRAM存储芯片还用于存储所述红色分量范围、所述蓝色 分量范围以及所述绿色分量范围。
  10. 一种利用内容解析的压迫区域识别方法，所述方法包括使用如权利要求1-9任一所述的利用内容解析的压迫区域识别平台以根据现场信号的分析结果实现对病人穿刺位置的皮肤压迫区域的实时监测。
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