{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:49:49Z","timestamp":1767340189585,"version":"build-2065373602"},"reference-count":84,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T00:00:00Z","timestamp":1638144000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The present paper proposes the design of a sleep monitoring platform. It consists of an entire sleep monitoring system based on a smart glove sensor called UpNEA worn during the night for signals acquisition, a mobile application, and a remote server called AeneA for cloud computing. UpNEA acquires a 3-axis accelerometer signal, a photoplethysmography (PPG), and a peripheral oxygen saturation (SpO2) signal from the index finger. Overnight recordings are sent from the hardware to a mobile application and then transferred to AeneA. After cloud computing, the results are shown in a web application, accessible for the user and the clinician. The AeneA sleep monitoring activity performs different tasks: sleep stages classification and oxygen desaturation assessment; heart rate and respiration rate estimation; tachycardia, bradycardia, atrial fibrillation, and premature ventricular contraction detection; and apnea and hypopnea identification and classification. The PPG breathing rate estimation algorithm showed an absolute median error of 0.5 breaths per minute for the 32 s window and 0.2 for the 64 s window. The apnea and hypopnea detection algorithm showed an accuracy (Acc) of 75.1%, by windowing the PPG in one-minute segments. The classification task revealed 92.6% Acc in separating central from obstructive apnea, 83.7% in separating central apnea from central hypopnea and 82.7% in separating obstructive apnea from obstructive hypopnea. The novelty of the integrated algorithms and the top-notch cloud computing products deployed, encourage the production of the proposed solution for home sleep monitoring.<\/jats:p>","DOI":"10.3390\/s21237976","type":"journal-article","created":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T01:45:02Z","timestamp":1638323102000},"page":"7976","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Proposal for a Home Sleep Monitoring Platform Employing a Smart Glove"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4086-3164","authenticated-orcid":false,"given":"Remo","family":"Lazazzera","sequence":"first","affiliation":[{"name":"Laboratoire Traitement du Signal et de l\u2019Image (LTSI-Inserm UMR 1099), Universit\u00e9 de Rennes 1, 35000 Rennes, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3434-9254","authenticated-orcid":false,"given":"Pablo","family":"Laguna","sequence":"additional","affiliation":[{"name":"Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, I3A, IIS Arag\u00f3n, University of Zaragoza, and with the CIBER de Bioingenier\u00eda, Biomateriales y Nanomedicina (CIBER-BBN), 50018 Zaragoza, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7285-0715","authenticated-orcid":false,"given":"Eduardo","family":"Gil","sequence":"additional","affiliation":[{"name":"Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, I3A, IIS Arag\u00f3n, University of Zaragoza, and with the CIBER de Bioingenier\u00eda, Biomateriales y Nanomedicina (CIBER-BBN), 50018 Zaragoza, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1482-2067","authenticated-orcid":false,"given":"Guy","family":"Carrault","sequence":"additional","affiliation":[{"name":"Laboratoire Traitement du Signal et de l\u2019Image (LTSI-Inserm UMR 1099), Universit\u00e9 de Rennes 1, 35000 Rennes, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,29]]},"reference":[{"key":"ref_1","unstructured":"National Sleep Foundation (2020, October 28). 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