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dc.contributor.authorMadrid Navarro, Carlos Javier
dc.contributor.authorPuertas Cuesta, Francisco Javier
dc.contributor.authorEscamilla-Sevilla, Francisco
dc.contributor.authorCampos, Manuel
dc.contributor.authorRuiz Abellán, Fernando
dc.contributor.authorRol, Maria Angeles
dc.contributor.authorMadrid, Juan Antonio
dc.date.accessioned2024-11-25T11:46:10Z
dc.date.available2024-11-25T11:46:10Z
dc.date.issued2019-04-11
dc.identifier.citationMadrid Navarro, C.J. et. al. Front. Neurol. 10:356. [https://doi.org/10.3389/fneur.2019.00356]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/97330
dc.description.abstractThe development of wearable devices has increase interest in the use of ambulatory methods to detect sleep disorders more objectively than those permitted by subjective scales evaluating sleep quality, while subjects maintain their usual lifestyle. This study aims to validate an ambulatory circadian monitoring (ACM) device for the detection of sleep and wake states and apply it to the evaluation of sleep quality in patients with Parkinson disease (PD). A polysomnographic validation study was conducted on a group of patients with different sleep disorders in a preliminary phase, followed by a pilot study to apply this methodology to PD patients. The ACM device makes it possible to estimate the main sleep parameters very accurately, as demonstrated by: (a) the lack of significant differences between themean values detected by PSG and ACMin time in bed (TIB), total sleep time (TST), sleep efficiency (SE), and time awake after sleep onset (WASO); (b) the slope of the correlation lines between the parameters estimated by the two procedures, very close to 1, which demonstrates the linearity of the predictions; (c) the low bias value in the estimates obtained through ACM. Sleep in PD is associated with lower distal skin temperature, efficiency and overall sleep time; greater WASO, activity during sleep and duration of naps and a worse circadian function index. In summary, the ACM device has proven to be clinically useful to evaluate sleep in an objective manner, thanks to the integrated management of different complementary variables, having advantages over conventional actigraphy.es_ES
dc.description.sponsorshipMinistry of Economy and Competitiveness, the Instituto de Salud Carlos III through a CIBERFES grant (CB16/10/00239) and grant 19899/GERM/15 awarded to JM (co-financed by FEDER)es_ES
dc.language.isoenges_ES
dc.publisherFrontiers Mediaes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectParkinson’s diseasees_ES
dc.subjectsleep es_ES
dc.subjectcircadian rhythms es_ES
dc.titleValidation of a Device for the Ambulatory Monitoring of Sleep Patterns: A Pilot Study on Parkinson’s Diseasees_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3389/fneur.2019.00356
dc.type.hasVersionVoRes_ES


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Atribución 4.0 Internacional
Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional