| Unique ID issued by UMIN | UMIN000056552 |
|---|---|
| Receipt number | R000064623 |
| Scientific Title | Performance of Electroencephalogram Analysis Using the Hilbert-Huang Transform in Detecting Cerebral Ischemia |
| Date of disclosure of the study information | 2024/12/24 |
| Last modified on | 2025/12/27 10:55:12 |
Performance of Electroencephalogram Analysis Using the Hilbert-Huang Transform in Detecting Cerebral Ischemia
Performance of Electroencephalogram Analysis Using the Hilbert-Huang Transform in Detecting Cerebral Ischemia
Performance of Electroencephalogram Analysis Using the Hilbert-Huang Transform in Detecting Cerebral Ischemia
Performance of Electroencephalogram Analysis Using the Hilbert-Huang Transform in Detecting Cerebral Ischemia
| Japan |
Adult patients underwent transcatheter aortic valve replacement under general anesthesia, who measured frontal electroencephalogram using the BIS brain monitoring system and experienced transient cerebral ischemia induced by rapid ventricular pacing for ensuring cardiac standstill during the procedure
| Anesthesiology |
Others
NO
This study aimed to assess the efficacy of electroencephalogram analysis using the Hilbert-Huang Transform, a method specifically designed for nonlinear and nonstationary data, offering enhanced time-frequency resolution compared to traditional methods, in detecting cerebral ischemia.
Efficacy
Specificity, rapidity, and interpretability of the Hilbert-Huang Transform for electroencephalogram analysis in detecting cerebral ischemia
Observational
| 20 | years-old | <= |
| Not applicable |
Male and Female
Adult patients underwent transcatheter aortic valve replacement under general anesthesia, who measured frontal electroencephalogram using the BIS brain monitoring system and experienced transient cerebral ischemia induced by rapid ventricular pacing for ensuring cardiac standstill during the procedure
Patients with missing data or artifacts in their electroencephalogram recordings
90
| 1st name | Kanji |
| Middle name | |
| Last name | Uchida |
The University of Tokyo Hospital
Department of Anesthesiology and Pain Relief Center
113-8655
7-3-1, Hongo, Bunkyo-ku, Tokyo
03-5800-8668
uchidak-ane@h.u-tokyo.ac.jp
| 1st name | Ryo |
| Middle name | |
| Last name | Wakabayashi |
The University of Tokyo Hospital
Department of Anesthesiology and Pain Relief Center
113-8655
7-3-1, Hongo, Bunkyo-ku, Tokyo
0358008668
wakabayashir@g.ecc.u-tokyo.ac.jp
The University of Tokyo
Self funding
Self funding
Ethics Committee, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo
7-3-1, Hongo, Bunkyo-ku, Tokyo
0358410818
ethics@m.u-tokyo.ac.jp
NO
| 2024 | Year | 12 | Month | 24 | Day |
Unpublished
Completed
| 2024 | Year | 10 | Month | 05 | Day |
| 2023 | Year | 10 | Month | 02 | Day |
| 2024 | Year | 12 | Month | 24 | Day |
| 2025 | Year | 12 | Month | 27 | Day |
The observation period was set from 30 seconds before the start of rapid ventricular pacing to 60 seconds after. Numerical data recorded every 3 seconds and waveform data captured at a sampling rate of 250 Hz were used for analysis. The electroencephalogram data were analyzed using the Hilbert-Huang Transform to compute the instantaneous energy for each frequency band. In addition, the same electroencephalogram waveforms were also analyzed using a multitaper-based time-frequency approach, and spectral indices including the 95% spectral edge frequency were evaluated.
| 2024 | Year | 12 | Month | 24 | Day |
| 2025 | Year | 12 | Month | 27 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000064623