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Thank you!
Thank you for your response. I understand that sleep staging is annotated by experts, and I would like to further confirm whether the annotation of sleep apnea events has also been conducted and validated by domain experts. Additionally, I would like to inquire if the Apnea-Hypopnea Index (AHI) in the dataset ( https://sleepdata.org/datasets/stages/files/m/browser/original/De-identified%20Data/PSG%20SRBD%20Variables/STAGESPSGKeySRBDVariables2020-08-29%20Deidentified.xlsx ) is derived from the annotation of respiratory events. I noticed that there is information about the scoring of sleep breathing events in page 27 of the document ( https://sleepdata.org/datasets/stages/files/m/browser/original/STAGES%20SOPs/30K%20PSG%20Operational%20Plan%202017-03-31.pdf?inline=1 ), indicating that the annotations were done by an algorithm developed by the team. Therefore, I have some confusion.
Hi NSRR team:
Thank you for your every great contribution!
I would like to use STAGES dataset, especially sleep-disordered breathing labels, which are recorded as .csv files (for example, stages/files/original/STAGES PSGs/ MSMI/MSMI00001.csv).
My question is whether those .csv files were scored by sleep experts or the results from the automatic scoring algorithm.
I also tried to find some information about it, but I couldn't find any clear description.
Can you help me with this issue?
Thank you
Thank you for your advice!
I check the relationship between the number of events of each type and variables provided in CSV files, and I find that the ahi calculated by counting the events of each type is different from the variable: ahi_a0h3 and the difference is caused by the number of OSA events. Is there any error in the variables?
I also check the number of events calculated from annotations, the number of CSA events is larger than (carbp + carop + canbp + canop), and the number of OSA events differs from (oarbp + oarop + oanbp + oanop)(larger or smaller).
I'm very confused about how to use the dataset. Can you give me some advice about how to use it correctlly?
Could you give me some advice about how to 'piece this together'?
The ahi_a0h3 definition is: (All apneas + hypopneas with >= 3% oxygen desaturation) / hour of sleep
I tried to screen events provided in “annotations-events-nsrr”:
Step1. delete the events in Wake status.
Step2. for every hypopnea event, detect the spo2 desaturation 30s later. If the desaturation < 3%, delete the event.
However, the ahi calculated in this way are still different from ahi_a0h3, and most ahi are smaller than ahi_a0h3.
How can I solve this problem? Thank you!
Hi NSRR team,
How can I screen respiratory events associated with a certain variable such as ahi_a0h3a from events provided in Annotations-events-nsrr?