Empirical Mode Decomposition in the Electroencephalogram

Depth of Anesthesia Clinical Trial

Official title:

Empirical Mode Decomposition in the Electroencephalogram During General Anesthesia Between Generations

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03303443
• Other study ID #: 201508007RIN
• Status: Completed
• Start date: May 15, 2016
• Est. completion date: June 15, 2019

Study information

• Verified date: April 2019
• Source: National Taiwan University Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Bispectral index (BIS), a standard monitor for perioperative monitor of patient's conscious level, is a noninvasive medical technique for monitoring and recording the electrical activity of brain.

Description:

The electroencephalogram and BIS data have lots of information. Fourier transformation to decompose EEG was first applied on the EEG signaling until now. The disadvantages of Fourier transformation is hard to deal with physical signals, which was modulated by autonomic system and factors. The Hilbert-Huang transform (HHT) was proposed to decompose EEG signal into intrinsic mode functions (IMF) since 2004. HHT can obtain instantaneous frequency data and work well for data that is nonstationary and nonlinear. HHT have been applied for wild ranges, not only in the analysis of arrhythmia for medical and public health fields, but also in the earthquake detection and earth physics detection…etc.

The relationship between frontal EEG patterns and general anesthesia remain poorly understood. It can only say that the increase in frontal EEG power and shift power to lower frequencies during general anesthesia from publications. The investigators are going to compare the EEG signal between generations, try to find the difference in aging using empirical mode decomposition method.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 60
• Est. completion date: June 15, 2019
• Est. primary completion date: June 15, 2019
• Accepts healthy volunteers: No
• Gender: All
• Age group: 20 Years to 80 Years

Eligibility

Inclusion Criteria:

1. 20-40y/o or over 60y/o

2. Scheduled for low risk general anesthesia

3. Suitable for surgery after interviewed by anesthesiologist

Exclusion Criteria:

1. Not suitable for general anesthesia

2. High risk patient

3. Allergic to the EEG sensor

Related Conditions & MeSH terms

• Depth of Anesthesia

Locations

Country	Name	City	State
Taiwan	Feng-Fang Tsai	Taipei

Sponsors (1)

Lead Sponsor	Collaborator
National Taiwan University Hospital

Country where clinical trial is conducted

Taiwan, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	EEG power calculation	The investigator use root mean square energy to calculate EEG power.	During the operation time.