{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T22:19:43Z","timestamp":1790806783200,"version":"4.1.0"},"reference-count":37,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T00:00:00Z","timestamp":1740009600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sleep Research"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:p>Actigraphy, a tool known for investigating sleep\u2013wake patterns at home, lacks scientific validation in hypersomnolent subjects. We aim to validate an actigraphy\u2010based sleep\u2013wake prediction algorithm against 32\u2010h continuous polysomnography in patients with suspected idiopathic hypersomnia, and to compare its performance to predict sleep\u2013wake parameters assessed by polysomnography with those of a commercially available algorithm. Two hundred and six hypersomnolent subjects were included prospectively in a Reference Centre for Hypersomnias, and underwent a 32\u2010h bedrest protocol, wearing wrist\u2010actigraphy, to diagnose idiopathic hypersomnia. Among them, 126 patients (91 females, 30.6 \u00b1\u200915.5\u2009years, 101 idiopathic hypersomnia, 25 non\u2010specified hypersomnia) with synchronised actigraphy and polysomnography were analysed. Age, sex, and Epworth Sleepiness Scale scores were collected. We trained various supervised algorithms and selected a recurrent neural network (S2S sequence\u2010to\u2010sequence long short\u2010term memory network) for comparison with Actiwatch Software (AS) on sleep\u2013wake variables and prediction errors during daytime and nighttime. S2S outperformed AS across all relevant metrics, and Bland\u2013Altman analysis showed disagreement between the two algorithms. S2S had a lower absolute error than AS. AS mainly overestimated sleep, an overestimation that was substantially reduced with S2S, overall as well as during day and night. Performance was not correlated with age, sex, or subjective sleepiness, but objective sleepiness and longer sleep time on the bedrest were associated with sleep underestimation. Our S2S algorithm using deep learning performed better to predict sleep\u2013wake parameters than AS and other commonly used algorithms. The next objective is to leverage this algorithm to study sleep\u2013wake patterns in patients with hypersomnolence at home.<\/jats:p>","DOI":"10.1111\/jsr.70007","type":"journal-article","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T22:19:36Z","timestamp":1740089976000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Actigraphy against 32\u2010hour polysomnography in patients with suspected idiopathic hypersomnia"],"prefix":"10.1111","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-0660-6086","authenticated-orcid":false,"given":"Tugdual","family":"Adam","sequence":"first","affiliation":[{"name":"Institute of Neurosciences of Montpellier (INM) University of Montpellier, INSERM  Montpellier France"},{"name":"Sleep\u2010Wake Disorders Unit, Department of Neurology Gui\u2010de\u2010Chauliac Hospital, CHU Montpellier  Montpellier France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J\u00e9r\u00f4me","family":"Tanty","sequence":"additional","affiliation":[{"name":"Sleep\u2010Wake Disorders Unit, Department of Neurology Gui\u2010de\u2010Chauliac Hospital, CHU Montpellier  Montpellier France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6620-5127","authenticated-orcid":false,"given":"Lucie","family":"Barateau","sequence":"additional","affiliation":[{"name":"Institute of Neurosciences of Montpellier (INM) University of Montpellier, INSERM  Montpellier France"},{"name":"Sleep\u2010Wake Disorders Unit, Department of Neurology Gui\u2010de\u2010Chauliac Hospital, CHU Montpellier  Montpellier France"},{"name":"National Reference Centre for Orphan Diseases Narcolepsy, Idiopathic Hypersomnia, and Kleine\u2010Levin Syndrome  Montpellier France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0683-6506","authenticated-orcid":false,"given":"Yves","family":"Dauvilliers","sequence":"additional","affiliation":[{"name":"Institute of Neurosciences of Montpellier (INM) University of Montpellier, INSERM  Montpellier France"},{"name":"Sleep\u2010Wake Disorders Unit, Department of Neurology Gui\u2010de\u2010Chauliac Hospital, CHU Montpellier  Montpellier France"},{"name":"National Reference Centre for Orphan Diseases Narcolepsy, Idiopathic Hypersomnia, and Kleine\u2010Levin Syndrome  Montpellier France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,2,20]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/22.1.95"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.3389\/FNEUR.2021.629709"},{"key":"e_1_2_11_4_1","volume-title":"International classification of sleep disorders\u2010third edition, text revision (ICSD\u20103\u2010TR)","author":"American Academy of Sleep Medicine","year":"2023"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/SLEEP\/18.4.285"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/SLEEP\/20.1.24"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1093\/SLEEP\/26.3.342"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/SLEEP\/ZSAE189"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1093\/SLEEP\/31.2.283"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8121461"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/S11325-017-1514-5"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1093\/SLEEP\/15.5.461"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.5664\/jcsm.7722"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.SMRV.2022.101709"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1093\/SLEEP\/26.1.81"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/ANA.25141"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/SLEEP\/ZSAA264"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.SLEEP.2014.08.017"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/SLEEP\/15.4.293"},{"key":"e_1_2_11_20_1","unstructured":"Iber C. 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