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Empirical Mode Decomposition in the Electroencephalogram

Sponsor
National Taiwan University Hospital (Other)
Overall Status
Completed
CT.gov ID
NCT03303443
Collaborator
(none)
60
Enrollment
1
Location
37
Actual Duration (Months)
1.6
Patients Per Site Per Month

Study Details

Study Description

Brief 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.

Condition or Disease Intervention/Treatment Phase

    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 Design

    Study Type:
    Observational
    Actual Enrollment :
    60 participants
    Observational Model:
    Other
    Time Perspective:
    Prospective
    Official Title:
    Empirical Mode Decomposition in the Electroencephalogram During General Anesthesia Between Generations
    Actual Study Start Date :
    May 15, 2016
    Actual Primary Completion Date :
    Jun 15, 2019
    Actual Study Completion Date :
    Jun 15, 2019

    Arms and Interventions

    Arm Intervention/Treatment
    Younger

    20-40 years old patients
    Elderly

    over 60 years old patients

    Outcome Measures

    Primary Outcome Measures

    1. EEG power calculation [During the operation time.]

      The investigator use root mean square energy to calculate EEG power.

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    20 Years to 80 Years
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    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

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Feng-Fang Tsai Taipei Taiwan 100

    Sponsors and Collaborators

    • National Taiwan University Hospital

    Investigators

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

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    National Taiwan University Hospital
    ClinicalTrials.gov Identifier:
    NCT03303443
    Other Study ID Numbers:
    • 201508007RIN
    First Posted:
    Oct 6, 2017
    Last Update Posted:
    Jun 5, 2020
    Last Verified:
    Apr 1, 2019

    Study Results

    No Results Posted as of Jun 5, 2020