Power Line Arbitrary Waveform Generator

Import 05/08/2014Tato bakalářská práce je zaměřena na generování libovolných průběhů napájecích napětí a simulaci poruchových stavů zdroje Kikusui PCR 1000 LA. V práci jsem se věnoval jak teoretickému popisu, tak praktickým zapojením a programování napájecích průběhů. V závěru jsem zhodnotil dosažené výsledky.This work is focused on generating abitrary waveform supply voltages and simulation of fault conditions Kikusui PCR 1000 LA. In my work I paid attention to theoretical description, practical wiring and programming of the supply waveforms. In the end, I reviewed the results.460 - Katedra informatikyvýborn

Additional file 2: Figure S2. of Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis

Strain differences in the primary visual cortex LFP power in Angelman syndrome model mice. (A, B) Power spectra of group data (WT: n = 30, AS: n = 39; shading indicates ±sem) from the primary visual cortex in C57BL/6 mice. (C, D) Power spectra, measured relative to total power. (E) Raw and (F) relative delta power are not different between WT and AS (raw: p = 0.277, relative: #p = 0.073, Student’s t tests). (G) Raw power in the 3–5-Hz band is not different between WT and AS (#p = 0.077). (H) Relative power in the 3–5-Hz band is significantly increased in AS model mice (**p = 0.0052). (I) Total power (1–50 Hz) is not different between groups (p = 0.460). (J) Raw and (K) relative gamma power are decreased in AS model mice on a C57BL/6 background (raw: *p = 0.022, relative: ***p = 0.00074). (L) Raw and (M) relative beta power are not different between groups (raw: p = .476, relative: p = .166) (PDF 179 kb

Additional file 4: of Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis

Seizure and medication history for children with AS. This file is a table that provides the following information for each child with AS where it was available: (1) age at EEG, (2) gender, (3) molecular diagnosis, (4) history of seizures (yes/no), (5) age of onset of seizures, (6) seizures controlled at the time of EEG (yes/no), (7) types of seizures in the past, and (8) medications at the time of EEG. (XLS 36 kb

Additional file 1: Figure S1. of Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis

Quantifying relative power preserves delta phenotypes in AS model mice, but complicates interpretations in other bands. (A, B) Relative power in 129 mice (WT: n = 23, AS: n = 24), plotted as a fraction of total power (1–50 Hz). Quantification of relative (C) theta, (D) beta, and (E) gamma power. Relative theta and gamma are significantly decreased in AS model mice on a 129 background (theta: *p = 0.013, beta: p = .209, gamma: **p = 0.0007, Student’s t test). (PDF 131 kb

Additional file 1: of Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study

Figure S1. Spatial analysis of long-range coherence during wakefulness. (A) Overall coherence (1–50 Hz) during wakefulness as a function of Euclidean distance. Dotted line represents the cutoff between short-range and long-range coherence. Two-way ANOVA for long-range coherence: genotype: F(1,774) = 40.53, p < 0.0001; distance: F(9,774) = 22.75, p < 0.0001; interaction: F(9,774) = 0.4326, p = 0.9187. (B) Raw and (C) grouped intra-hemispheric long-range coherence. Overall (1–50 Hz) intra-hemispheric coherence is increased in AS (p = 0.0145). Two-way ANOVA: genotype: F(1,390) = 32.77, p < 0.0001; genotype × frequency interaction: F(4,390) = 0.1419, p = 0.9665; post hoc tests: delta: p = 0.0646, theta: p = 0.1067, alpha: p = 0.1315, beta: p = 0.0521, gamma: p = 0.0078. (D) Topographic coherence maps for all intra-hemispheric electrode pairs. (E) Raw and (F) grouped inter-hemispheric long-range coherence. Overall (1–50 Hz) inter-hemispheric coherence was increased in AS (p = 0.0303). Two-way ANOVA: genotype: F(1,390) = 22.49, p < 0.0001; genotype × frequency interaction: F(4,390) = 0.3383, p = 0.8521; post hoc tests: delta: p = 0.2771, theta: p = 0.8276, alpha: p = 0.2657, beta: p = 0.0785, gamma: p = 0.0180. (G) Topographic coherence maps for all inter-hemispheric electrode pairs. (H) Overall (1–50 Hz) long-range coherence through individual electrodes and (I) electrodes grouped by region. Two-way ANOVA: genotype: F(1,390) = 23.11, p < 0.0001; genotype × region interaction: F(4,390) = 0.8003, p = 0.5255; post hoc tests: frontal: p = 0.0555, central: p = 0.0783, parietal: p = 0.0112, temporal: p > 0.9999, occipital: p = 0.2414. NT (black): n = 54, AS (red): n = 26. (PDF 271 kb

Additional file 2: of Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study

Figure S2. Spatial analysis of gamma-band coherence during sleep. (A) Gamma-band coherence during sleep as a function of Euclidean distance. Dotted line represents the dividing line between short-range and long-range coherence. Two-way ANOVA for long-range coherence: genotype: F(1,629) = 30.93, p < 0.0001; distance: F(9,629) = 15.46, p < 0.0001; interaction: F(9,629) = 0.8704, p = 0.5516. Asterisk indicates significance by post hoc Bonferroni tests. (B) Raw and (C) grouped intra-hemispheric long-range gamma-band coherence. Overall: p = 0.0565; two-way ANOVA: genotype: F(1,315) = 1.484, p = 0.2240; genotype × frequency interaction: F(4,315) = 2.943, p = 0.0206; post hoc tests: delta, theta, alpha, beta: p > 0.9999, gamma: p = 0.0070. (D) Topographic coherence maps for all intra-hemispheric electrode pairs. LR long-range. (E) Raw and (F) grouped inter-hemispheric long-range coherence. Overall: p = 0.1139; two-way ANOVA: genotype: F(1,315) = 0.409, p = 0.5230; genotype × frequency interaction: F(4,315) = 3.303, p = 0.0114; post hoc tests: delta: p > 0.9999, theta: p = 0.4283, alpha, beta: p > 0.9999, gamma: p = 0.0140. (G) Topographic coherence maps for all inter-hemispheric electrode pairs. (H) Gamma coherence through individual electrodes and (I) electrodes grouped by region. Two-way ANOVA for region: genotype: F(1,315) = 24.86, p < 0.0001; genotype × region interaction: F(4,315) = 0.9112, p = 0.4576; post hoc tests: frontal: p = 0.3285, central: p = 0.0465, parietal: p = 0.0022, temporal: p > 0.9999, occipital: p = 0.1522. NT (black): n = 53, AS (red): n = 12. (PDF 503 kb

Additional file 3: of Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study

Figure S3. Coherence phenotypes persist with conservative exclusion of volume conduction. (A) Cross-correlation during wakefulness across all frequencies (1–50 Hz). Left panel: short-range electrode pairs (p = 0.0549). Center panel: long-range electrode pairs (p < 0.0001). Right panel: long-range/short-range ratio (p = 0.0027). (B) Cross-correlation during sleep in the gamma band (30–50 Hz). Left panel: short-range (p = 0.0004). Center panel: long-range (p < 0.0001). Right panel: long-range/short-range ratio (p = 0.0016). (PDF 405 kb