Clarify raw and computed physiological data definitions#49
Clarify raw and computed physiological data definitions#49
Conversation
Added clarification on raw vs computed physiological data and recommendations for data recording. Closes #11
| Examples of computed metrics are heart rate, ... | ||
| Some modalities could be both, e.g. blood pressure directly measured vs computed from PPG signals. | ||
|
|
||
| In the following document, we broadly categorise any computed metric as non-raw data, although currently |
There was a problem hiding this comment.
It concerns me that this could be interpreted as non-raw = BIDS derivative, so we should maybe explicitly clarify that this is not the case.
| To complicate the matter, certain devices allow analog signal processing operations. | ||
|
|
||
| Examples of directly measured physiological fluctuations include respiration, cardiac pulse, or eye-tracking. | ||
| Examples of computed metrics are heart rate, ... |
There was a problem hiding this comment.
Should more examples be specified here other than HR ?
There was a problem hiding this comment.
Yes, I think EDA is a nice one! Do we use "proc" to reflect e.g. phasic vs tonic components?
|
@smoia points out that we recommend saving the 'rawest' data possible, without clarifying what we mean by this... We could change our wording to minimally processed? |
|
A lingistic clarification I suggest: BIDS: raw vs. derivative A transformation of the measured signal --> use proc |
|
@ShiyuBelleWang suggests strongly recommending proc for sparse data |
|
Mary: BIDS: raw vs. derivative where processed relates to a computed metric or transformation of the data EDA tonic and phasic are transformation due to filtering and bandwidth BP acquired on-skin is unprocessed, BP coming from Pulse is processed |
3 participants
Added clarification on raw vs computed physiological data and recommendations for data recording.
Closes #11