{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T22:19:33Z","timestamp":1790806773875,"version":"4.1.0"},"reference-count":26,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T00:00:00Z","timestamp":1541635200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100002600","name":"American Sleep Medicine Foundation","doi-asserted-by":"publisher","award":["138\u2010SR\u201016"],"award-info":[{"award-number":["138\u2010SR\u201016"]}],"id":[{"id":"10.13039\/100002600","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sleep Research"],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Measuring sleep duration and early onset rapid eye movement sleep (<jats:styled-content style=\"fixed-case\">REMS<\/jats:styled-content>) is critical in the assessment of suspected central disorders of hypersomnolence (<jats:styled-content style=\"fixed-case\">CDH<\/jats:styled-content>). Current multi\u2010sensor activity trackers that integrate accelerometry and heart rate are purported to accurately quantify sleep time and <jats:styled-content style=\"fixed-case\">REMS<\/jats:styled-content>; however, their utility in suspected <jats:styled-content style=\"fixed-case\">CDH<\/jats:styled-content> has not been established. This investigation aimed to determine the ability of a current, multi\u2010sensor tracker, Fitbit Alta <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content> (<jats:styled-content style=\"fixed-case\">FBA<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>), to quantify and classify sleep in patients with suspected <jats:styled-content style=\"fixed-case\">CDH<\/jats:styled-content> relative to polysomnography (<jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content>). Forty\u2010nine patients (46 female; mean age,\u00a030.3\u00a0\u00b1\u00a09.84\u00a0years) underwent ad libitum <jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content> with concurrent use of the <jats:styled-content style=\"fixed-case\">FBA<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>. <jats:styled-content style=\"fixed-case\">FBA<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content> sleep variable quantification was assessed using Bland\u2010Altman analysis. <jats:styled-content style=\"fixed-case\">FBA<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content> all sleep (<jats:styled-content style=\"fixed-case\">AS<\/jats:styled-content>), light sleep (<jats:styled-content style=\"fixed-case\">LS<\/jats:styled-content>;<jats:styled-content style=\"fixed-case\"> PSG<\/jats:styled-content> N1\u00a0+\u00a0N2), deep sleep (<jats:styled-content style=\"fixed-case\">DS<\/jats:styled-content>;<jats:styled-content style=\"fixed-case\"> PSG<\/jats:styled-content> N3) and <jats:styled-content style=\"fixed-case\">REMS<\/jats:styled-content> classification was evaluated using epoch\u2010by\u2010epoch comparisons. <jats:styled-content style=\"fixed-case\">FBA<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\u2010detected sleep\u2010onset rapid eye movement periods (<jats:styled-content style=\"fixed-case\">SOREMP<\/jats:styled-content>s) were compared against <jats:styled-content style=\"fixed-case\">PSG SOMREMP<\/jats:styled-content>s. <jats:styled-content style=\"fixed-case\">FBA<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content> displayed significant overestimation of total sleep time (11.6\u00a0min), sleep efficiency (1.98%) and duration of deep sleep (18.2\u00a0min). <jats:styled-content style=\"fixed-case\">FBA<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content> sensitivity and specificity were as follows: <jats:styled-content style=\"fixed-case\">AS<\/jats:styled-content>, 0.96, 0.58; <jats:styled-content style=\"fixed-case\">LS<\/jats:styled-content>, 0.73, 0.72;<jats:styled-content style=\"fixed-case\">DS<\/jats:styled-content>, 0.67, 0.92; <jats:styled-content style=\"fixed-case\">REMS<\/jats:styled-content>, 0.74, 0.93. The device failed to detect any nocturnal <jats:styled-content style=\"fixed-case\">SOREMP<\/jats:styled-content>s. Device performance did not differ appreciably among diagnostic subgroups. These results suggest <jats:styled-content style=\"fixed-case\">FBA<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content> cannot replace <jats:styled-content style=\"fixed-case\">EEG<\/jats:styled-content>\u2010based measurements of sleep and wake in the diagnostic assessment of suspected <jats:styled-content style=\"fixed-case\">CDH<\/jats:styled-content>, and that improvements in device performance are required prior to adoption in clinical or research settings.<\/jats:p>","DOI":"10.1111\/jsr.12789","type":"journal-article","created":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T14:45:04Z","timestamp":1541688304000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":51,"title":["Ability of the Fitbit Alta <scp>HR<\/scp> to quantify and classify sleep in patients with suspected central disorders of hypersomnolence: A comparison against polysomnography"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1905-0262","authenticated-orcid":false,"given":"Jesse D.","family":"Cook","sequence":"first","affiliation":[{"name":"Department of Psychiatry School of Medicine and Public Health University of Wisconsin\u2010Madison Madison Wisconsin"},{"name":"Department of Psychology University of Wisconsin\u2010Madison Madison Wisconsin"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sahand C.","family":"Eftekari","sequence":"additional","affiliation":[{"name":"Department of Psychiatry School of Medicine and Public Health University of Wisconsin\u2010Madison Madison Wisconsin"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erika","family":"Dallmann","sequence":"additional","affiliation":[{"name":"Department of Psychiatry School of Medicine and Public Health University of Wisconsin\u2010Madison Madison Wisconsin"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Megan","family":"Sippy","sequence":"additional","affiliation":[{"name":"Department of Psychiatry School of Medicine and Public Health University of Wisconsin\u2010Madison Madison Wisconsin"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David T.","family":"Plante","sequence":"additional","affiliation":[{"name":"Department of Psychiatry School of Medicine and Public Health University of Wisconsin\u2010Madison Madison Wisconsin"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,11,8]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.2307\/2987937"},{"key":"e_1_2_8_3_1","unstructured":"2014 American Academy of Sleep Medicine Darien IL American Academy of Sleep Medicine ICSD-3 - International classification of sleep disorders 3rd ed"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2013.1589"},{"key":"e_1_2_8_5_1","unstructured":"Berry R.B. 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