Newcastle PSG + GENEActiv both wrists (sleep clinic, 2015)

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 Participant ID Participant IDs are stored in the file names of both the accelerometer and PSG files.

Please be aware that the participant IDs found within the accelerometer file headers are incorrect and should be disregarded. In this study, the accelerometers were initialized at the university prior to participant recruitment. The devices were then brought to the sleep clinic, where they were assigned to participants as they enrolled. The incorrect ID in the file headers is an artifact of the GENEActiv software used at the time, which automatically retained the ID from the device's previous user.

Participant characteristics 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.

Verbatim fromZenodo· Licence: cc-by-4.0