Baseline = readings from the baseline visit
Followup = readings from the follow-up visit (approximately 3 months after baseline)
Subjects were randomized at baseline, followed for 3 months, and then given another sleep study. The numbers in the filenames are the Subject Codes, so many subjects have both a "baseline" and "followup" reading. (E.g. heartbeat-baseline-700001.edf is a reading from the same person as heartbeat-followup-700001.edf).
There were 3 treatment arms (described here) and the subjects are all mixed together (i.e. not separated out by apnea or control status).
An entry criteria for HeartBEAT was an AHI >= 15, so all the subjects in the study had some level of sleep apnea to begin with.
The EDF files contain EKG and Pulse signals, which will give second-by-second tracings from the heart-related signals. You will find some EDF visualizing/processing tools on our directory here.
Some information on the signals here: https://sleepdata.org/datasets/heartbeat/pages/equipment
The EDFs are here: https://sleepdata.org/datasets/heartbeat/files/polysomnography/edfs
Most of our datasets contain subjects with sleep apnea and heart rate data. Please read through the dataset documentation to see which ones might suit your research questions best.
Yes, sleep and wake are determined using an automatic algorithm. Here are a couple links with more description:
Yes, REST intervals were manually annotated. Anything that is not REST ends up as ACTIVE, assuming the data are not EXCLUDED. The MESA actigraphy scoring manual describes the process used by the actigraphy reviewer.
Hope that helps!
The XML annotation files contain information and timestamps for respiratory events and oxygen desaturations. Sleep staging for each epoch is also available in the XML files.
If you wish to analyze the airflow signal then you will need to look into the raw signal EDF files. There should be packages for statistical software to read in the EDF for further analysis. Here's a tool for reading EDFs into MATLAB: https://sleepdata.org/tools/dennisdean-block-edf-loader
Each annotation in the XML files contains a name, start time (seconds from recording start), and duration (seconds).
I condensed the information about overlapping PSG and actigraphy in MESA and posted some guidance for users at this link: https://sleepdata.org/datasets/mesa/pages/actigraphy-introduction.md
I processed and deposited the HRV Rpoint files today for SHHS. The description and links to files are available here: https://sleepdata.org/datasets/shhs/pages/13-hrv-analysis.md
I don't know much about HRV, but the documentation provided by the creators of those data is here: https://sleepdata.org/datasets/shhs/pages/13-hrv-analysis.md
Sure, I will forward you the conversation I had with Joao, which contains a good deal of information about linking MESA PSG and actigraphy.