Newcastle polysomnography and accelerometer data

<p># Newcastle PSG+Accelerometer study 2015</p> <p>This data set contains 55 .bin files, 28 .txt files, and one .csv file,<br> which were collected in Newcastle upon Tyne (UK) to evaluate an&nbsp;<br> accelerometer-based algorithm for sleep classification.<br> The data come form a a single night polysomnography recording in&nbsp;<br> 28 sleep clinic patients. A description of the experimental&nbsp;<br> protocol can be found in this open access PLoSONE paper from 2015:&nbsp;<br> https://doi.org/10.1371/journal.pone.0142533.</p> <p>&nbsp;</p> <p>## Polysomnography</p> <p>Sleep scores derived from polysomnography are stored in the .txt files.&nbsp;<br> Each file represents a time series (one night) of one participant.<br> The resolution of the scoring is&nbsp;<br> 30 seconds. Participants are numbered. The participant number is&nbsp;<br> included in the file names as &ldquo;mecsleep01_...&rdquo;. pariticpants_info.csv is a<br> dictionary of participant number, diagnosis, age, and sex.</p> <p>## Accelerometer data</p> <p>Accelerometer data from brand GENEActiv (https://www.activinsights.com) are&nbsp;<br> stored in .bin files. Per participant two accelerometers were used:&nbsp;<br> One accelerometer on each wrist (left and right). The right wrist from&nbsp;<br> participant 10 is missing, hence the total number of 55 bin files.&nbsp;<br> The tri-axial (three axis) accelerometers were configured to record&nbsp;<br> at 85.7 Hertz. The accelerometer data can be read with R package&nbsp;<br> GENEAread https://cran.r-project.org/web/packages/GENEAread/index.html.&nbsp;<br> Additional information on the accelerometer can be found on the&nbsp;<br> manufacturers product website:&nbsp;<br> https://www.activinsights.com/resources-support/geneactiv/downloads-software/,&nbsp;<br> including a description of the binary file structure on page 27 of&nbsp;<br> this (pdf) file: https://49wvycy00mv416l561vrj345-wpengine.netdna-ssl.com/wp-content/uploads/2014/03/geneactiv_instruction_manual_v1.2.pdf.<br> The participant number and the body side on which the accelerometer&nbsp;<br> is worn are included in the file names as &ldquo;MECSLEEP01_left wrist...&rdquo;.</p> <p>## Participant information</p> <p>The .csv file as included in this dataset contains a dictionary&nbsp;<br> of the participant numbers, sleep disorder diagnosis,&nbsp;<br> participant age at the time of measurement, and sex.</p> <p>## Example processing</p> <p>The code we used ourselves to process this data can be found in this&nbsp;<br> GitHub repository: https://github.com/wadpac/psg-ncl-acc-spt-detection-eval.<br> Note that we use R package GGIR: https://cran.r-project.org/web/packages/GGIR/,&nbsp;<br> which calls R package GENEAread for reading the binary data.</p>