109455 20230519145444.0 doi 10.3390/s21237976 sideral 125670 ART-2021-125670 eng Lazazzera, Remo Proposal for a home sleep monitoring platform employing a smart glove 2021 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R-BSICoS group info:eu-repo/grantAgreement/ES/MICINN/PID2019-104881RB-I00 info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.847 2021 CHEMISTRY, ANALYTICAL 29 / 87 = 0.333 2021 Q2 T2 INSTRUMENTS & INSTRUMENTATION 19 / 64 = 0.297 2021 Q2 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 95 / 277 = 0.343 2021 Q2 T2 0.803 2021 Analytical Chemistry 2021 Q1 Biochemistry 2021 Q1 Instrumentation 2021 Q1 Information Systems 2021 Q1 Electrical and Electronic Engineering 2021 Q1 6.4 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Laguna, Pablo Universidad de Zaragoza (orcid)0000-0003-3434-9254 Gil, Eduardo Universidad de Zaragoza (orcid)0000-0001-7285-0715 Carrault, Guy 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 21, 23 (2021), s21237976 [21 pp.] Sensors Sensors 1424-8220 1754590 http://zaguan.unizar.es/record/109455/files/texto_completo.pdf Versión publicada 2585670 http://zaguan.unizar.es/record/109455/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:109455 articulos driver 2023-05-18-14:36:26 ARTICLE