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ZENODO
Dataset . 2018
License: CC BY NC
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2018
License: CC BY NC
Data sources: Datacite
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Depresjon Dataset

Authors: Garcia-Ceja, Enrique; Riegler, Michael; Jakobsen, Petter; Torresen, Jim; Nordgreen, Tine; Oedegaard, Ketil J.; Fasmer, Ole Bernt;

Depresjon Dataset

Abstract

This dataset contains sensor data collected from patients suffering from depression. The dataset contains motor activity recordings of 23 unipolar and bipolar depressed patients and 32 healthy controls. For each patient we provide motor activity sensor data over several days of continuous measuring and also some demographic data. The severity of the patients' depressive state was labeled using ratings done by medical experts on the Montgomery-Asberg Depression Rating Scale (MADRS). For more information please visit http://datasets.simula.no/depresjon/ Use terms and citation The use of the DEPRESJON dataset is restricted for research and educational purposes only. The use of the DEPRESJON dataset for other purposes including commercial purposes is forbidden without prior written permission. In all documents and papers that use or refer to the DEPRESJON dataset or report experimental results based on the DEPRESJON dataset, a reference to the dataset paper have to be included: E. Garcia-Ceja, M. Riegler, P. Jakobsen, J. Torresen, T. Nordgreen, K. Oedegaard, O. Fasmer. (2018, June). DEPRESJON: A Motor Activity Database of Depression Episodes in Unipolar and Bipolar Patients. In Proceedings of the 9th ACM on Multimedia Systems Conference (pp. 0-0). ACM. Instructions (and BibTex) on how to cite the DEPRESJON dataset can be found in http://datasets.simula.no/depresjon/

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Keywords

depression, accelerometer, actigraphy, dataset, machine learning, bipolar disorder

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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