WU, MING FENG,吴明峰,吳明峰,WEN, CHIH YU,温志煜,溫志煜,HSU, JENG YUAN,许正园,許正園,HUANG, WEI CHANG,黄伟彰,黃偉彰
申请号：
TW100127468
公开号：
TW201306799A
申请日:
2011.08.02
申请国别(地区):
TW
年份:
2013
代理人:
摘要：
This invention relates to the method and device of identification with characteristics of sleep apnea, cough and asthma. About the method, it includes (1) preparing step, (2) body detecting step, (3) signal processing step, (4) signal analyzing step, and (5) finishing step. This device includes a voice detector, an abdomen detector, and a wrist detector for detecting a lung sound signal, an abdomen breath signal, and a wrist movement signal respectively. This device also includes three fuzzy logic systems so as to analyze the characteristics of sleep apnea, cough and asthma based on these three detected signals. Then, it can judge which event is occurred or not. Thus, this invention can precisely analyze the events times and happening time of sleep apnea, cough and asthma. In addition, its wireless detecting design can effectuate a long period of detection time under a static or dynamic status.本發明係為一種辨識睡眠呼吸中止、咳嗽與氣喘之特徵的方法及其裝置,其方法部份包括一‧準備步驟、二‧人體偵測步驟、三‧訊號處理步驟、四‧訊號辨識步驟與五‧完成步驟。根據前述步驟,設一聲音感測裝置、一腹部感測裝置及一腕部感測裝置,即時偵測待測者而分別產生一肺音訊號、一腹部呼吸運動訊號與一腕部活動訊號;並設三個模糊邏輯系統對三個訊號進行氣喘事件、睡眠呼吸中止事件與咳嗽事件之特徵辨識,再以估測辨識裝置比對去模糊化數值,判別待測者發生之事件。故,本案兼具利用特徵進行模糊邏輯辨識氣喘事件及睡眠呼吸中止事件與咳嗽事件相當準確、可判別氣喘事件及睡眠呼吸中止事件與咳嗽事件發生之次數與時間,以及無線感測設計可同時在靜態與動態下進行長時間檢測等優點及功效。11...準備步驟12...人體偵測步驟13...訊號處理步驟14...訊號辨識步驟15...完成步驟
