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Medical ventilator capable of early detecting and recognizing types of pneumonia, gas recognition chip, and method for recognizing gas thereof

机译:可及早发现和识别肺炎类型的医用呼吸机,气体识别芯片及其气体识别方法

摘要

A medical ventilator capable of early detecting and recognizing types of pneumonia, a gas recognition chip, and a method for recognizing gas thereof are disclosed. The gas recognition chip of the medical ventilator comprises a sensor array, a sensor interface circuit, a stochastic neural network chip, a memory and a microcontroller. The sensor array receives a plurality of multiple types of gases to produce odor signals corresponding to each type of gas. The sensor interface circuit analyzes the odor signals to produce gas pattern signals corresponding to each type of gas. The stochastic neural network chip amplifies the differences between the gas pattern signals and performs dimensional reduction on the gas pattern signals to aid the analysis. The memory stores training data. The microcontroller performs a mixed gas recognizing algorithm to early detect and recognize the type of the pneumonia according to the gas training data.
机译:公开了一种能够及早发现和识别肺炎类型的医用呼吸机,一种气体识别芯片以及一种用于识别其气体的方法。医用呼吸机的气体识别芯片包括传感器阵列,传感器接口电路,随机神经网络芯片,存储器和微控制器。传感器阵列接收多种气体以产生与每种气体相对应的气味信号。传感器接口电路分析气味信号以产生与每种气体相对应的气体模式信号。随机神经网络芯片会放大气体模式信号之间的差异,并对气体模式信号进行降维处理以帮助分析。存储器存储训练数据。微控制器执行混合气体识别算法,以根据气体训练数据及早发现并识别肺炎的类型。

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