PMID- 27651304 OWN - NLM STAT- MEDLINE DCOM- 20170911 LR - 20230513 IS - 1438-8871 (Electronic) IS - 1439-4456 (Print) IS - 1438-8871 (Linking) VI - 18 IP - 9 DP - 2016 Sep 20 TI - Accuracy of a Wrist-Worn Wearable Device for Monitoring Heart Rates in Hospital Inpatients: A Prospective Observational Study. PG - e253 LID - 10.2196/jmir.6025 [doi] LID - e253 AB - BACKGROUND: As the sensing capabilities of wearable devices improve, there is increasing interest in their application in medical settings. Capabilities such as heart rate monitoring may be useful in hospitalized patients as a means of enhancing routine monitoring or as part of an early warning system to detect clinical deterioration. OBJECTIVE: To evaluate the accuracy of heart rate monitoring by a personal fitness tracker (PFT) among hospital inpatients. METHODS: We conducted a prospective observational study of 50 stable patients in the intensive care unit who each completed 24 hours of heart rate monitoring using a wrist-worn PFT. Accuracy of heart rate recordings was compared with gold standard measurements derived from continuous electrocardiographic (cECG) monitoring. The accuracy of heart rates measured by pulse oximetry (Spo2.R) was also measured as a positive control. RESULTS: On a per-patient basis, PFT-derived heart rate values were slightly lower than those derived from cECG monitoring (average bias of -1.14 beats per minute [bpm], with limits of agreement of 24 bpm). By comparison, Spo2.R recordings produced more accurate values (average bias of +0.15 bpm, limits of agreement of 13 bpm, P<.001 as compared with PFT). Personal fitness tracker device performance was significantly better in patients in sinus rhythm than in those who were not (average bias -0.99 bpm vs -5.02 bpm, P=.02). CONCLUSIONS: Personal fitness tracker-derived heart rates were slightly lower than those derived from cECG monitoring in real-world testing and not as accurate as Spo2.R-derived heart rates. Performance was worse among patients who were not in sinus rhythm. Further clinical evaluation is indicated to see if PFTs can augment early warning systems in hospitals. TRIAL REGISTRATION: ClinicalTrials.gov NCT02527408; https://clinicaltrials.gov/ct2/show/NCT02527408 (Archived by WebCite at http://www.webcitation.org/6kOFez3on). FAU - Kroll, Ryan R AU - Kroll RR AUID- ORCID: 0000-0001-5170-3062 AD - Department of Medicine, Queen's University, Kingston, ON, Canada. FAU - Boyd, J Gordon AU - Boyd JG AUID- ORCID: 0000-0002-9522-2364 FAU - Maslove, David M AU - Maslove DM AUID- ORCID: 0000-0002-0765-7158 LA - eng SI - ClinicalTrials.gov/NCT02527408 PT - Journal Article DEP - 20160920 PL - Canada TA - J Med Internet Res JT - Journal of medical Internet research JID - 100959882 SB - IM MH - Biometry/*instrumentation MH - Cohort Studies MH - Female MH - Heart Rate/*physiology MH - Humans MH - Inpatients MH - Male MH - Middle Aged MH - Monitoring, Physiologic/*instrumentation MH - Prospective Studies MH - Wrist PMC - PMC5050383 OTO - NOTNLM OT - biometry/instrumentation OT - clinical trial OT - clothing OT - informatics OT - monitoring, physiologic COIS- Conflicts of Interest: None declared. EDAT- 2016/09/22 06:00 MHDA- 2017/09/12 06:00 PMCR- 2016/09/20 CRDT- 2016/09/22 06:00 PHST- 2016/05/24 00:00 [received] PHST- 2016/08/29 00:00 [accepted] PHST- 2016/08/12 00:00 [revised] PHST- 2016/09/22 06:00 [entrez] PHST- 2016/09/22 06:00 [pubmed] PHST- 2017/09/12 06:00 [medline] PHST- 2016/09/20 00:00 [pmc-release] AID - v18i9e253 [pii] AID - 10.2196/jmir.6025 [doi] PST - epublish SO - J Med Internet Res. 2016 Sep 20;18(9):e253. doi: 10.2196/jmir.6025.