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Better processed/unprocessed vs raw/derivatives differences
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src/modality-specific-files/physiological-recordings.md

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- [`ds210`](https://github.com/bids-standard/bids-examples/tree/master/ds210)
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!!! warning " 'Raw physiological data' vs 'Raw BIDS data'"
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!!! warning " 'Unprocessed/Processed physiological data' vs 'Raw/Derivatives BIDS data'"
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Physiological monitoring is now advanced enough to offer a plethora of different data modalities,
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some of which are directly measured and some of which are metrics computed using direct recordings.
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some of which are directly measured unprocessed data, and some of which are processed metrics computed using direct recordings.
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To complicate the matter, certain devices allow analog signal processing operations.
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Examples of directly measured physiological fluctuations include respiration, cardiac pulse, or eye-tracking, while examples of computed metrics are heart rate or pulse rate.
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Some modalities could be both, e.g. blood pressure measured directly vs derived from PPG signals.
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Examples of unprocessed physiological fluctuations include respiration, cardiac pulse, or eye-tracking, while examples of processed data are heart rate or pulse rate.
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Some modalities could be both, e.g. blood pressure measured directly (unprocessed) vs derived from PPG signals (processed).
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In this specification, any data retrieved directly from a device is considered a raw signal, even if analogical signal processing is performed onto it, or it is the result of an algorithmic estimation.
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Any data computed offline is considered derivative, and should follow derivatives
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Any data computed offline is considered derivative, and should follow derivatives specifications.
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<!-- MODIFY This specification section first describes the organization of
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[continuous physiological recordings](), and
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file, following [its specification](#eye-tracking).
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<!-- ISSUE this lines are now in direct contrast with the rest of the spec
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We RECOMMEND keeping different files from different recording
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devices separate, but for easier inspection and analysis they can kept together
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to get a clearer picture of what the fluctuations describe (e.g., looking

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