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Design of a sleep apnoea detection system for a home environment.

, , , , , , and . KES, volume 192 of Procedia Computer Science, page 3225-3234. Elsevier, (2021)

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Other publications of authors with the same name

A Comparison of Objective and Subjective Sleep Quality Measurement in a Group of Elderly Persons in a Home Environment., , , , , , , , , and 1 other author(s). ApplePies, volume 738 of Lecture Notes in Electrical Engineering, page 286-291. Springer, (2020)A survey on pre-training requirements for deep learning models to detect obstructive sleep apnea events., , , and . KES, volume 225 of Procedia Computer Science, page 3805-3812. Elsevier, (2023)Analysis of Survey Tools for Recommender Systems in the Selection of Ambient Assisted Living Technologies., , , , and . KES, volume 176 of Procedia Computer Science, page 2332-2340. Elsevier, (2020)Design of a sleep apnoea detection system for a home environment., , , , , , and . KES, volume 192 of Procedia Computer Science, page 3225-3234. Elsevier, (2021)Assistive health systems for home-dwelling elderly: connecting training and monitoring technologies to a data integration platform., , , , , , , and . KES, volume 207 of Procedia Computer Science, page 3008-3017. Elsevier, (2022)Conception of a home-based sleep apnoea identification and monitoring system., , , and . KES, volume 225 of Procedia Computer Science, page 3795-3804. Elsevier, (2023)Main requirements of end-to-end deep learning models for biomedical time series classification in healthcare environments., , , and . KES, volume 207 of Procedia Computer Science, page 3038-3046. Elsevier, (2022)