<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Devani N</submitter><funding>Acurable Limited</funding><pagination>e046803</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8693096</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(12)</volume><pubmed_abstract>&lt;h4>Objectives&lt;/h4>Obstructive sleep apnoea (OSA) is a heavily underdiagnosed condition, which can lead to significant multimorbidity. Underdiagnosis is often secondary to limitations in existing diagnostic methods. We conducted a diagnostic accuracy and usability study, to evaluate the efficacy of a novel, low-cost, small, wearable medical device, AcuPebble_SA100, for automated diagnosis of OSA in the home environment.&lt;h4>Settings&lt;/h4>Patients were recruited to a standard OSA diagnostic pathway in an UK hospital. They were trained on the use of type-III-cardiorespiratory polygraphy, which they took to use at home. They were also given AcuPebble_SA100; but they were not trained on how to use it.&lt;h4>Participants&lt;/h4>182 consecutive patients had been referred for OSA diagnosis in which 150 s</pubmed_abstract><journal>BMJ open</journal><pubmed_title>Accuracy and usability of AcuPebble SA100 for automated diagnosis of obstructive sleep apnoea in the home environment setting: an evaluation study.</pubmed_title><pmcid>PMC8693096</pmcid><funding_grant_id>This research received no specific funding in the</funding_grant_id><pubmed_authors>Pramono RXA</pubmed_authors><pubmed_authors>Mandal S</pubmed_authors><pubmed_authors>Bowyer S</pubmed_authors><pubmed_authors>Rodriguez-Villegas E</pubmed_authors><pubmed_authors>Devani N</pubmed_authors><pubmed_authors>Imtiaz SA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Accuracy and usability of AcuPebble SA100 for automated diagnosis of obstructive sleep apnoea in the home environment setting: an evaluation study.</name><description>&lt;h4>Objectives&lt;/h4>Obstructive sleep apnoea (OSA) is a heavily underdiagnosed condition, which can lead to significant multimorbidity. Underdiagnosis is often secondary to limitations in existing diagnostic methods. We conducted a diagnostic accuracy and usability study, to evaluate the efficacy of a novel, low-cost, small, wearable medical device, AcuPebble_SA100, for automated diagnosis of OSA in the home environment.&lt;h4>Settings&lt;/h4>Patients were recruited to a standard OSA diagnostic pathway in an UK hospital. They were trained on the use of type-III-cardiorespiratory polygraphy, which they took to use at home. They were also given AcuPebble_SA100; but they were not trained on how to use it.&lt;h4>Participants&lt;/h4>182 consecutive patients had been referred for OSA diagnosis in which 150 s</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Dec</publication><modification>2026-05-08T23:50:05.396Z</modification><creation>2025-05-29T16:06:35.514Z</creation></dates><accession>S-EPMC8693096</accession><cross_references><pubmed>34933855</pubmed><doi>10.1136/bmjopen-2020-046803</doi></cross_references></HashMap>