Empirical Mode Decomposition in the Electroencephalogram

Empirical Mode Decomposition in the Electroencephalogram During General Anesthesia Between Generations

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.

Study Overview

• Status: Completed
• Conditions: Depth of Anesthesia

Detailed 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.

• Study Type: Observational
• Enrollment (Actual): 60

Contacts and Locations

Study Locations

• Taiwan
  • Taipei, Taiwan, 100
    • Feng-Fang Tsai

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 20 years to 80 years (Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

20-40y/o patients or over 60y/o patients without severe systemic disease who were scheduled for general anesthesia.

Description

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

Study Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort
Younger; 20-40 years old patients
Elderly; over 60 years old patients

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
EEG power calculation	The investigator use root mean square energy to calculate EEG power.	During the operation time.

Collaborators and Investigators

• Sponsor: National Taiwan University Hospital
• Investigators: Study Chair: Feng-Fang Tsai, MD, National Taiwan University Hospital

Study record dates

Study Major Dates

• Study Start (Actual): May 15, 2016
• Primary Completion (Actual): June 15, 2019
• Study Completion (Actual): June 15, 2019

Study Registration Dates

• First Submitted: December 1, 2015
• First Submitted That Met QC Criteria: October 4, 2017
• First Posted (Actual): October 6, 2017

Study Record Updates

• Last Update Posted (Actual): June 5, 2020
• Last Update Submitted That Met QC Criteria: June 4, 2020
• Last Verified: April 1, 2019

More Information

Terms related to this study

• Other Study ID Numbers: 201508007RIN