Hilbert-Huang Transform Analysis Applied to the Patients’ Blood flow variability and Heart rate variability during surgery

• Main Authors: Pei-Fung Shi, 石沛豐
• Other Authors: Jiann-Shing Shieh
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/20244698537113836433

碩士 === 元智大學 === 機械工程學系 === 96 === There’s no specific definition of depth of anesthesia (DOA). It is obtained from patient’s basic physiological signal and the anesthetist’s experience for many years in order to offer proper medicine i.e. give the patient the best and safe anesthesia process. In the past, a lot of studies indicated that heart rate variability (HRV) is a recognized parameter for assessing autonomous nervous system activity. Therefore, HRV can be an indication of DOA. However, heartbeat can be affected by anesthesia drugs, breathing rate and electric influence by operating electric knife. These reasons may bring anesthetist wrong information. The purpose of this research is to use engineering analysis to analyze blood flow variability (BFV) and HRV during anesthesia. When HRV can’t present the patient’s states in some situations, BFV can replace HRV. We help anesthetists to know the patient’s truly states and characteristics, and increase the security of the anesthesia process. This research collects the physiological signals from 20 patients who have accepted ears, nose, throat (ENT) surgery and 10 patients who have accepted the abdominal surgery. Then we use Hilbert-Huang Transform (HHT) to analyze the data and find out the changes of BFV and HRV. Finally, the results have been shown as follows: 1. After injecting Atropine, BFV is less affected than HRV. 2. When the doctor use electric knife to stop bleeding, blood flow signal is less influenced by electricity than ECG.