Morphic Sensors for Respiratory Parameters Estimation: Validation against Overnight Polysomnography.


Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
03 Jul 2023
Historique:
received: 16 05 2023
revised: 19 06 2023
accepted: 26 06 2023
medline: 31 7 2023
pubmed: 28 7 2023
entrez: 28 7 2023
Statut: epublish

Résumé

Effective monitoring of respiratory disturbances during sleep requires a sensor capable of accurately capturing chest movements or airflow displacement. Gold-standard monitoring of sleep and breathing through polysomnography achieves this task through dedicated chest/abdomen bands, thermistors, and nasal flow sensors, and more detailed physiology, evaluations via a nasal mask, pneumotachograph, and airway pressure sensors. However, these measurement approaches can be invasive and time-consuming to perform and analyze. This work compares the performance of a non-invasive wearable stretchable morphic sensor, which does not require direct skin contact, embedded in a t-shirt worn by 32 volunteer participants (26 males, 6 females) with sleep-disordered breathing who performed a detailed, overnight in-laboratory sleep study. Direct comparison of computed respiratory parameters from morphic sensors versus traditional polysomnography had approximately 95% (95 ± 0.7) accuracy. These findings confirm that novel wearable morphic sensors provide a viable alternative to non-invasively and simultaneously capture respiratory rate and chest and abdominal motions.

Identifiants

pubmed: 37504102
pii: bios13070703
doi: 10.3390/bios13070703
pmc: PMC10377422
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Cooperative Research Centre Project - Australian Government
ID : CRCP-2017

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Auteurs

Ganesh R Naik (GR)

Adelaide Institute for Sleep Health (Flinders Health and Medical Research Institute: Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia.
College of Science and Engineering, Flinders University, Bedford Park, SA 5042, Australia.

Paul P Breen (PP)

The MARCS Institute, Western Sydney University, Westmead, NSW 2145, Australia.

Titus Jayarathna (T)

The MARCS Institute, Western Sydney University, Westmead, NSW 2145, Australia.

Benjamin K Tong (BK)

Neuroscience Research Australia, Randwick, NSW 2031, Australia.
Sleep Research Group, Charles Perkins Centre, School of Medicine, University of Sydney, Camperdown, NSW 2006, Australia.

Danny J Eckert (DJ)

Adelaide Institute for Sleep Health (Flinders Health and Medical Research Institute: Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia.
Neuroscience Research Australia, Randwick, NSW 2031, Australia.

Gaetano D Gargiulo (GD)

The MARCS Institute, Western Sydney University, Westmead, NSW 2145, Australia.
School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia.

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Classifications MeSH