User:IcyEd/My Sandbox2

IcyEd/My Sandbox2
Combination of
Alfaxalone	anesthetic
Alfadolone	anesthetic
	(verify)

IcyEd/My Sandbox2
Identifiers
	IUPAC name (3R,5S,8S,9S,10S,13S,14S,17S)-17-acetyl-3-hydroxy-10,13-dimethyl-1,2,3, 4,5,6,7,8,9,12,14,15,16, 17-tetradecahydrocyclopenta[a]phenanthren-11-one; [2-[(3R,5S,8S,9S,10S,13S,14S,17S)-3-hydroxy-10,13-dimethyl-11-oxo-1,2,3, 4,5,6,7,8,9,12,14,15,16, 17-tetradecahydrocyclopenta[a]phenanthren-17-yl]-2-oxoethyl] acetate = Alfaxolone/alfadolone;
Chemical and physical data
Formula	C44H66O8
Molar mass	722.99004 g/mol g·mol−1
3D model (JSmol)	Interactive image;
	SMILES CC(=O)[C@H]1CC[C@@H]2[C@@]1(CC(=O)[C@H]3[C@H]2CC[C@@H]4[C@@]3(CC[C@H] (C4)O)C)C.CC(=O)OCC(=O)[C@H]1CC[C@@H]2[C@@]1(CC(=O)[C@H]3[C@H]2CC[C@@H]4 [C@@]3(CC[C@H](C4)O)C)C;

This is the user sandbox of IcyEd. A user sandbox is a subpage of the user's user page. It serves as a testing spot and page development space for the user and is not an encyclopedia article. Create or edit your own sandbox here.

Other sandboxes: Main sandbox | Template sandbox

Finished writing a draft article? Are you ready to request review of it by an experienced editor for possible inclusion in Wikipedia? Submit your draft for review!

User Ed Harding Biology Sandbox

User:IcyEd/Alphathesin

}}

Techniques commonly found in digital signal analysis have been extended to the analysis of electroencephalography (EEG). Techniques include wavelet analysis and Fourier analysis.

The analog signal comprising the microvoltage time series of the EEG, is sampled digitally with analog to digital technology and sampling rates adequate to over-sample the signal (using the Nyquist principle of exceeding twice the highest frequency being detected). Modern EEG amplifiers use adequate sampling to resolve the EEG across the traditional medical band from DC to 70 or 100 Hz, using sample rates of 250/256, 500/512, to over 1000 samples per second, depending on the intended application.^{[citation needed]}

The Fourier decomposes the EEG time series into a voltage by frequency spectral graph commonly called the “power spectrum”, with power being the square of the EEG magnitude, and magnitude being the integral average of the amplitude of the EEG signal, measured from(+) peak-to-(-)peak), across the time sampled, or epoch. The epoch length determines the frequency resolution of the Fourier, with a 1 second epoch providing a 1 Hz resolution (plus/minus 0.5 Hz resolution), and a 4 second epoch providing ¼ Hz, or plus/minus 0.125 Hz resolution.

QEEG has been accepted by for clinical application in some areas, such as cerebro-vascular disorders and epilepsy, though it remains yet to be accepted in other clinical areas, such as diagnosing mild traumatic brain injury or psychiatric disorders. The use of qEEG techniques in investigations in clinical and research settings are on going.^{[citation needed]}