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

## Questions and citation For questions about this data set please contact v.vanhees@esciencecenter.nl. Please cite this dataset with the doi as provided on the zenodo page where you downloaded this dataset.