File:Alertness homeostatic.jpg: Difference between revisions

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'''''Figure:''' '''[[Tools menu|Tools]] : [[Sleep Chart]] : Alertness (H)''' graph makes it possible for you to visually inspect how recall (and [[Glossary:Grade|grades]]) decrease during the waking day. It also shows the impact of circadian factors with grades slightly lower immediately after waking and slightly higher after the mid-day dip in the 9th hour. The <span style="padding: 3px; color: #FFF; background-color: blue;">blue dots</span> are recall data illustrating decline in performance during a waking day from 87.5% at waking to 81.5% at midday nadir (size of the circles corresponds with the number of repetitions collected, where minimum 50 repetitions are needed to paint a circle in this particular graph). The <span style="padding: 3px; background-color: yellow;">yellow line</span> is the estimated homeostatic alertness derived from the sleep log data. The <span style="padding: 3px; background-color: aqua;">aqua line</span> represents the circadian alertness estimate derived from the same sleep log data. Recall is a resultant of the impact of both sleep-drive processes: homeostatic (yellow) and circadian (blue). 0.1 (hours) (at the bottom) is the minimum sleep block length taken into consideration. 101,230 repetitions cases were taken to plot the graph. The '''Deviation''' parameter displayed at the top tells you how well the chosen approximation curve fits the data (in the picture: negatively exponential recall curve). The lesser the deviation, the better the fit. The deviation is computed as a square root of the average of squared differences (as used in the method of least squares). Depressed '''Use R''' will use grade-R correlations for an average student to estimate recall (R derived from the DSR model is not used here, as on the '''Alertness (C)''' tab, due to the slowness of the computation). Those correlated R figures may differ from actual recall''
'''''Figure:''' '''[[Toolkit menu|Toolkit]] : [[Sleep Chart]] : Alertness (H)''' graph makes it possible for you to visually inspect how recall (and [[Glossary:Grade|grades]]) decrease during the waking day. It also shows the impact of circadian factors with grades slightly lower immediately after waking and slightly higher after the mid-day dip in the 9th hour. The <span style="padding: 3px; color: #FFF; background-color: blue;">blue dots</span> are recall data illustrating decline in performance during a waking day from 87.5% at waking to 81.5% at midday nadir (size of the circles corresponds with the number of repetitions collected, where minimum 50 repetitions are needed to paint a circle in this particular graph). The <span style="padding: 3px; background-color: yellow;">yellow line</span> is the estimated homeostatic alertness derived from the sleep log data. The <span style="padding: 3px; background-color: aqua;">aqua line</span> represents the circadian alertness estimate derived from the same sleep log data. Recall is a resultant of the impact of both sleep-drive processes: homeostatic (<span style="padding: 3px; background-color: yellow;">yellow</span>) and circadian (<span style="padding: 3px; background-color: aqua;">aqua</span>). 0.1 (hours) (at the bottom) is the minimum sleep block length taken into consideration. 101,230 repetitions cases were taken to plot the graph. The '''Deviation''' parameter displayed at the top tells you how well the chosen approximation curve fits the data (in the picture: negatively exponential recall curve). The lesser the deviation, the better the fit. The deviation is computed as a square root of the average of squared differences (as used in the method of least squares). Depressed '''Use R''' will use grade-R correlations for an average student to estimate recall (R derived from the [[Glossary:DSR_model|DSR model]] is not used here, as on the '''Alertness (C)''' tab, due to the slowness of the computation). Those correlated R figures may differ from actual recall''
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Latest revision as of 05:38, 3 March 2019

Figure: Toolkit : Sleep Chart : Alertness (H) graph makes it possible for you to visually inspect how recall (and grades) decrease during the waking day. It also shows the impact of circadian factors with grades slightly lower immediately after waking and slightly higher after the mid-day dip in the 9th hour. The blue dots are recall data illustrating decline in performance during a waking day from 87.5% at waking to 81.5% at midday nadir (size of the circles corresponds with the number of repetitions collected, where minimum 50 repetitions are needed to paint a circle in this particular graph). The yellow line is the estimated homeostatic alertness derived from the sleep log data. The aqua line represents the circadian alertness estimate derived from the same sleep log data. Recall is a resultant of the impact of both sleep-drive processes: homeostatic (yellow) and circadian (aqua). 0.1 (hours) (at the bottom) is the minimum sleep block length taken into consideration. 101,230 repetitions cases were taken to plot the graph. The Deviation parameter displayed at the top tells you how well the chosen approximation curve fits the data (in the picture: negatively exponential recall curve). The lesser the deviation, the better the fit. The deviation is computed as a square root of the average of squared differences (as used in the method of least squares). Depressed Use R will use grade-R correlations for an average student to estimate recall (R derived from the DSR model is not used here, as on the Alertness (C) tab, due to the slowness of the computation). Those correlated R figures may differ from actual recall

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current04:34, 3 April 2016Thumbnail for version as of 04:34, 3 April 20161,369 × 936 (192 KB)SuperMemoHelp (talk | contribs)
11:45, 12 October 2013Thumbnail for version as of 11:45, 12 October 20131,278 × 951 (188 KB)SuperMemoHelp (talk | contribs)
09:21, 24 April 2009Thumbnail for version as of 09:21, 24 April 20091,046 × 756 (128 KB)WikiSysop (talk | contribs)Tools : Timeline : Alertness graph makes it possible for you to visually inspect how grades decrease during the waking day. It also shows the impact of circadian factors with grades slightly lower immediately after waking and slightly higher after the mid

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