Proposal for a home sleep monitoring platform employing a smart glove

Lazazzera, Remo ; Laguna, Pablo (Universidad de Zaragoza) ; Gil, Eduardo (Universidad de Zaragoza) ; Carrault, Guy

Resumen: 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.

Idioma: Inglés

DOI: 10.3390/s21237976

Año: 2021

Publicado en: Sensors 21, 23 (2021), s21237976 [21 pp.]
ISSN: 1424-8220

Factor impacto JCR: 3.847 (2021)

Categ. JCR: CHEMISTRY, ANALYTICAL rank: 29 / 87 = 0.333 (2021) - Q2 - T2
Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 19 / 64 = 0.297 (2021) - Q2 - T1
Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 95 / 277 = 0.343 (2021) - Q2 - T2

Factor impacto CITESCORE: 6.4 - Engineering (Q1) - Physics and Astronomy (Q1) - Biochemistry, Genetics and Molecular Biology (Q2)

Factor impacto SCIMAGO: 0.803 - Analytical Chemistry (Q1) - Biochemistry (Q1) - Instrumentation (Q1) - Information Systems (Q1) - Electrical and Electronic Engineering (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R-BSICoS group
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-104881RB-I00
Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00

Tipo y forma: Article (Published version)

Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)