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Download Data

Downloading files is EASY with the NSRR downloader tool [1].

gem install nsrr
Fetching: nsrr-0.4.0.gem
Successfully installed nsrr-0.4.0
1 gem installed
nsrr download shhs/polysomnography/edfs
Get Token: https://sleepdata.org/token
Enter Token:
    create shhs/polysomnography/edfs/
    create shhs/polysomnography/edfs/shhs1/
downloaded shhs1-200001.edf
downloaded shhs1-200002.edf
downloaded shhs1-200003.edf
downloaded shhs1-200004.edf
downloaded shhs1-200005.edf
Finished in 15.623997 seconds.
2 folders created, 5 files downloaded, 187 MiBs downloaded, 0 files skipped, 0 files failed

Generate Statistics

Datasets are stored in CSVs described by Data Dictionaries [2].

nsrr download shhs/datasets --shallow
Get Token: https://sleepdata.org/token
Enter Token:
    create shhs/datasets/
downloaded CHANGELOG.md
downloaded KNOWNISSUES.md
downloaded shhs1-dataset-0.13.0.csv
downloaded shhs2-dataset-0.13.0.csv
downloaded shhs-cvd-events-dataset-0.13.0.csv
downloaded shhs-cvd-summary-dataset-0.13.0.csv
downloaded shhs-data-dictionary-0.13.0-domains.csv
downloaded shhs-data-dictionary-0.13.0-forms.csv
downloaded shhs-data-dictionary-0.13.0-variables.csv
downloaded shhs-interim-followup-dataset-0.13.0.csv
Finished in 2.677877 seconds.
1 folder created, 10 files downloaded, 36 MiBs downloaded, 0 files skipped, 0 files failed
open shhs/datasets/generate-statistics.rb
# generate-statistics.rb
require "csv"
csv = File.open("shhs1-dataset-0.13.0.csv")
mcount = fcount = 0
CSV.parse(csv, headers: true) do |row|
  case row["gender"]
  when "1"
    mcount += 1
  when "2"
    fcount += 1
puts "There are #{mcount} male participants in SHHS 1."
puts "There are #{fcount} female participants in SHHS 1."
ruby shhs/datasets/generate-statistics.rb
There are 2765 male participants in SHHS 1.
There are 3039 female participants in SHHS 1.

Compare results to https://sleepdata.org/datasets/shhs/variables/gender

Extract Signals from EDFs [3].

gem install edfize
require "rubygems"
require "edfize"
# Loads the file and reads the EDF Header
edf = Edfize::Edf.new("shhs1-200001.edf")
# Loads the data section of the EDF into Signal objects
# Print out information on the signals
puts "EDF #{edf.filename} contains #{edf.signals.count} signal #{"s" unless edf.signals.count == 1} : \n\n "

edf.signals.each do |signal|
  puts "Signal Label : #{signal.label} "
  puts "Samples Per Data Record : #{signal.samples_per_data_record} "
  puts "First 10 Physical Values : #{(signal.physical_values[0..10] + ["..."]).inspect} \n\n "
EDF shhs1-200001.edf contains 14 signals:
Signal Label : SaO2
Samples Per Data Record : 1
First 10 Physical Values : [95.31242847333486, 95.31242847333486, 95.31242847333486, 95.31242847333486, 95.31242847333486, 95.31242847333486, 95.31242847333486, 95.31242847333486, 94.14053559166858, 94.14053559166858, 94.14053559166858, "..."]

Full output of this code snippet can be found here: https://github.com/nsrr/edfize


  1. The NSRR downloader is built using Ruby and greatly simplifies downloading large amounts of files from the NSRR website.
    Instructions on installing Ruby on Windows and on Linux/Mac can be found here: https://github.com/nsrr/nsrr-gem
  2. The NSRR maintains its data dictionaries using the Spout Data Dictionary Management Tool. Spout creates a framework that simplifies data dictionary management and creation, and allows researchers to identify documentation gaps between the dataset and the data dictionary.
  3. Edfize is a Ruby gem that provides access to signals and epochs in EDF polysomnographs. Edfize is used by Altamira Web EDF Viewer to render EDFs in your web browser.
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