TANG, KEA-TIONG,郑桂忠,鄭桂忠,SHIH, CHUNG HUNG,施崇鸿,施崇鴻,WANG, LI CHUN,王立群,CHEN, HSIN,陈新,陳新,LIU, YI WEN,刘奕汶,劉奕汶,SHYU, JYUO MIN,徐爵民,YANG, CHIA MIN,杨家铭,楊家銘,YAO, DA JENG,饶达仁,饒達仁
申请号：
TW101103310
公开号：
TWI458464B
申请日:
2012.02.01
申请国别(地区):
TW
年份:
2014
代理人:
摘要：
The present invention discloses a medical ventilator capable of early detecting and recognizing types of pneumonia, a gas recognition chip, and a method for recognizing gas thereof. 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 enlarges 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.本發明係揭露一種可早期偵測及辨識肺炎種類的呼吸器、其氣體辨識晶片及其氣體辨識方法。此呼吸器之氣體辨識晶片包含感測器陣列、感測器介面電路、隨機類神經網路晶片、記憶體及微控制器。感測器陣列接收複數種待測氣體以產生對應於各個待測氣體的氣味訊號。感測器介面電路分析各個氣味訊號，以產生對應各待測氣體的氣體圖案訊號。隨機類神經網路晶片，係放大氣體圖案訊號之間的差異，並降低氣體圖案訊號的維度，以協助產生分析結果。記憶體儲存訓練資料。微控制器執行混合氣體辨識演算法，並根據氣體訓練資料來辨識肺炎種類。
