Empirical Mode Decomposition in the Electroencephalogram

NCT ID: NCT03303443

Last Updated: 2020-06-05

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

60 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-05-15

Study Completion Date

2019-06-15

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Depth of Anesthesia

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Study Groups

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Younger

20-40 years old patients

No interventions assigned to this group

Elderly

over 60 years old patients

No interventions assigned to this group

Eligibility Criteria

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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
Minimum Eligible Age

20 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Taiwan University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Feng-Fang Tsai, MD

Role: STUDY_CHAIR

National Taiwan University Hospital

Locations

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Feng-Fang Tsai

Taipei, , Taiwan

Site Status

Countries

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Taiwan

Other Identifiers

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201508007RIN

Identifier Type: -

Identifier Source: org_study_id

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