Adaptive Accelerometry Derived Respiration: Comparison with Respiratory Inductance Plethysmography during Sleep
Autor: | Jean-Louis Pépin, Gregoire Gerard, Damien Colas, Aurélien Bricout, Pierre-Yves Gumery, Julie Fontecave-Jallon |
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Přispěvatelé: | Physiologie cardio-Respiratoire Expérimentale Théorique et Appliquée (TIMC-IMAG-PRETA), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Hypoxie : Physiopathologie Respiratoire et Cardiovasculaire (HP2 ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]) |
Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
Polysomnography Airflow 02 engineering and technology Sleep medicine 03 medical and health sciences 0302 clinical medicine Sleep Apnea Syndromes Internal medicine Respiration Accelerometry 0202 electrical engineering electronic engineering information engineering Medicine Respiratory inductance plethysmography Humans Tidal volume ComputingMilieux_MISCELLANEOUS medicine.diagnostic_test business.industry Sleep apnea Gold standard (test) respiratory system medicine.disease respiratory tract diseases 3. Good health Plethysmography Cardiology 020201 artificial intelligence & image processing business Sleep [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing 030217 neurology & neurosurgery |
Zdroj: | 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jul 2019, Berlin, Germany. pp.6714-6717, ⟨10.1109/EMBC.2019.8856561⟩ EMBC |
ISSN: | 2694-0604 |
Popis: | Polysomnography (PSG) is a multi-parametric test used in the study of sleep and as a diagnostic tool in sleep medicine. PSG is the gold standard that manually quantifies the apnea-hypopnea index (AHI) to assess the severity of sleep apnea syndrome (SAS). This work presents a novel method based on a dual tri-axis accelerometer system (Adaptive Accelerometry Derived Respiration, ADR) which was patched on the subject’s chest that adaptively reconstructed thoracic and abdominal respiratory efforts. Performance evaluation was performed on a 60s-epoch basis using signal and physiological indicators: the evaluation consisted in the comparison of airflow estimations from ADR and RIP to the nasal airflow, considered as reference. Results showed that 74% of the 60s-epoch ADR airflow estimation present a correlation coefficient with nasal airflow ≥ 70% compared to 64% for RIP. Relative errors for one-minute respiration rate and tidal volume estimation appeared to be relatively low which reflected the good feasibility of the adaptive ADR method for respiration monitoring during sleep. |
Databáze: | OpenAIRE |
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