Morphic Sensors for Respiratory Parameters Estimation: Validation against Overnight Polysomnography.
heart rate
morphic sensor
polysomnography
respiratory rate
wearables
Journal
Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191
Informations de publication
Date de publication:
03 Jul 2023
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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