Profiler
Processing
Efficient time series processing: Profiler features various tools to further process and manipulate your time series thus allowing to prepare data for statistical and illustration purposes.
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Raw sleep EEG frequency band powers |
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... after triangular moving average smoothing |
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... after further decimal log-transformation |
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The resulting sleep EEG spectrum |
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... with movement times excluded |
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and after temporal normalisation on sleep cycles duration |
Compute new parameters:
- relative powers,
- power ratio (alpha slow wave index, etc...), site ratio (antero-posterior, interhemispheric, etc ...).
- moving mean average,
- moving median average,
- robust least mean squares,
- distance-weighted least squares,
- sharp-weighted filter median hybrid.
- z-scores normalization,
- decibels (log-transformed powers),
- square root (amplitude spectra).
- mean averaging,
- median averaging,
- standard deviance.
- slope
- nearest,
- linear,
- cubic,
- spline.
- Temporal range,
- Sleep stage,
- Sleep cycle.
Smooth time series:
Transform time series and shift units:
Reduce time series temporal resolution:
Re-sample and linearize time series:
Sort time series according to several criteria:
PhiTools provides advanced software solutions and services for biosignal processing, sleep analysis, psychophysiological research and clinical trials. PhiTools, software tools and services for psychophysiology, polysmonography and chronobiology.