{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T08:10:53Z","timestamp":1778314253799,"version":"3.51.4"},"reference-count":25,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T00:00:00Z","timestamp":1778025600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["P30AG073105"],"award-info":[{"award-number":["P30AG073105"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Am J Hosp Palliat Care"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>People living with dementia (PLWD) with advanced illness are prone to respiratory distress yet often cannot self-report dyspnea, delaying recognition and treatment. Near-field radio-frequency (NFRF) sensors offer touchless, covert cardiopulmonary monitoring that may be better tolerated than tethered devices.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To assess the feasibility and acceptability of NFRF bed sensor for home monitoring of PLWD and to estimate machine-learning (ML) performance for detecting respiratory distress.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In a 48-hour pilot study, PLWD were recruited from a geriatrics practice. A lab-designed NFRF bed sensor recorded cardiopulmonary waveforms. Recorded video enabled minute-level Respiratory Distress Observation Scale scoring as reference. Feasibility outcomes included adverse events, acceptability, and percentage of usable data. ML classifiers (eg, random forest, k-nearest neighbors) were evaluated using 5-fold cross-validation, and class imbalance was addressed through data augmentation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Ten patient\u2013legally authorized representative dyads were enrolled. No adverse events were reported, and no participants intentionally removed the sensor. Usable data averaged 52% (range 34-68%). Caregivers reported minimal burden and no patient distress. With augmented data, the random forest performed best, achieving 74.6% sensitivity and 95.5% specificity in detecting RDOS scores.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>NFRF bed sensors were feasible and acceptable to implement in the home setting with PLWD, with promising ML-based detection of respiratory distress. Larger, longer studies with a broader range of RDOS severity are needed to validate performance and refine deployment. As this technology develops and matures, it could provide a method for non-invasive continuous monitoring to detect respiratory distress in PLWD in palliative care settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10499091261450897","type":"journal-article","created":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T21:37:43Z","timestamp":1778103463000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Testing Near-Field Radio-Frequency Sensors to Predict Respiratory Distress in Patients Living With Dementia: A Pilot Feasibility and Acceptability Study"],"prefix":"10.1177","author":[{"given":"Kapil","family":"Gangwar","sequence":"first","affiliation":[{"name":"Cornell University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taeyoung","family":"Park","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jamuna","family":"Krishnan","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bradley","family":"Hayward","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas Bradley","family":"Conroy","sequence":"additional","affiliation":[{"name":"Cornell University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Micah Denzel","family":"Toliver","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shanyna","family":"Joasil","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elaine","family":"Yu","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chnidcar","family":"Fortune","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"McKenzie","family":"Smith","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vanessa","family":"Liao","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edwin Chihchuan","family":"Kan","sequence":"additional","affiliation":[{"name":"Cornell University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7488-1264","authenticated-orcid":false,"given":"Veerawat","family":"Phongtankuel","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2026,5,6]]},"reference":[{"key":"e_1_3_6_2_2","doi-asserted-by":"publisher","DOI":"10.1089\/jpm.2017.0265"},{"key":"e_1_3_6_3_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0140060"},{"key":"e_1_3_6_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.1997.03550230056037"},{"key":"e_1_3_6_5_2","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.164.6.637"},{"key":"e_1_3_6_6_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2014.4501"},{"key":"e_1_3_6_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-6466-3"},{"key":"e_1_3_6_8_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-017-0001-0"},{"key":"e_1_3_6_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2024.3356817"},{"key":"e_1_3_6_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3028970"},{"key":"e_1_3_6_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2021.3096462"},{"key":"e_1_3_6_12_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-29984-5"},{"key":"e_1_3_6_13_2","unstructured":"James CL. 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