Development for the Evaluation Index of an Anesthesia Depth using the Bispectrum Analysis
The linear SEF (Spectral Edge Frequency) parameter
and spectrum analysis method can not reflect the non-linear of EEG.
This method can not contribute to acquire real time analysis and obtain
a high confidence in the clinic due to low discrimination. To solve the
problems, the development of a new index is carried out using the
bispectrum analyzing the EEG(electroencephalogram) including the
non-linear characteristic. After analyzing the bispectrum of the 2
dimension, the most significant power spectrum density peaks appeared abundantly at the specific area in awakening and anesthesia state. These points are utilized to create the new index since many
peaks appeared at the specific area in the frequency coordinate. The measured range of an index was 0-100. An index is 20-50 at an anesthesia, while the index is 90-60 at the awake. New index could afford to effectively discriminate the awake and anesthesia state.
[1] Jeleazcov C, Fechner J, Schwilden H., "Electroencephalogram monitoring during anesthesia with propofol and alfentanil: the impact of second order
spectral analysis", Anesth Analg, vol. 100, pp. 1365-1369, 2005.
[2] Jeleazcov C, Schwilden H., "Bispectral analysis does not differentiate
between anaesthesia EEG and a linear random process [in German]",
Biomed Tech (Berl), vol. 48, pp. 269-274, 2003.
[3] C. Thornton and R.M. Sharpe, "Evoked responses in anaesthesia", British
Journal of Anaesthesia, vol. 81, pp.771-781, 1998.
[4] Sandin RH, Enlund G, Samuelsson P, Lennmarken C, "Awareness during
anaesthesia: A prospective case study", Lancet, vol. 355, pp. 707-711,2000.
[5] Faulconer A jr., Bickford RG., "Electroencephalography in
anesthesiology", Springfield, Illinois; Thomas, 1960.
[6] Sigl JC, Chamoun NC, "An introduction to bispectral analysis for the EEG ", J Clin Monit.,vol. 10, pp. 392-404,1994.
[1] Jeleazcov C, Fechner J, Schwilden H., "Electroencephalogram monitoring during anesthesia with propofol and alfentanil: the impact of second order
spectral analysis", Anesth Analg, vol. 100, pp. 1365-1369, 2005.
[2] Jeleazcov C, Schwilden H., "Bispectral analysis does not differentiate
between anaesthesia EEG and a linear random process [in German]",
Biomed Tech (Berl), vol. 48, pp. 269-274, 2003.
[3] C. Thornton and R.M. Sharpe, "Evoked responses in anaesthesia", British
Journal of Anaesthesia, vol. 81, pp.771-781, 1998.
[4] Sandin RH, Enlund G, Samuelsson P, Lennmarken C, "Awareness during
anaesthesia: A prospective case study", Lancet, vol. 355, pp. 707-711,2000.
[5] Faulconer A jr., Bickford RG., "Electroencephalography in
anesthesiology", Springfield, Illinois; Thomas, 1960.
[6] Sigl JC, Chamoun NC, "An introduction to bispectral analysis for the EEG ", J Clin Monit.,vol. 10, pp. 392-404,1994.
@article{"International Journal of Medical, Medicine and Health Sciences:58388", author = "Soo-young Ye and Jun-mo Park and Jae-hyung Kim and Jae-hee Jung and Ah-young Jeon and In-cheol Kim and Jung-man Son and Ki-gon Nam and Seong-wan Baik and Jung-hoon Ro and Gye-rok Jeon", title = "Development for the Evaluation Index of an Anesthesia Depth using the Bispectrum Analysis", abstract = "The linear SEF (Spectral Edge Frequency) parameter
and spectrum analysis method can not reflect the non-linear of EEG.
This method can not contribute to acquire real time analysis and obtain
a high confidence in the clinic due to low discrimination. To solve the
problems, the development of a new index is carried out using the
bispectrum analyzing the EEG(electroencephalogram) including the
non-linear characteristic. After analyzing the bispectrum of the 2
dimension, the most significant power spectrum density peaks appeared abundantly at the specific area in awakening and anesthesia state. These points are utilized to create the new index since many
peaks appeared at the specific area in the frequency coordinate. The measured range of an index was 0-100. An index is 20-50 at an anesthesia, while the index is 90-60 at the awake. New index could afford to effectively discriminate the awake and anesthesia state.", keywords = "Bispectrum, anesthesia depth, EEG, SEF.", volume = "1", number = "6", pages = "381-5", }