Accuracy of a Wrist-Worn Wearable Device for Monitoring Heart Rates in Hospital Inpatients: A Prospective Observational Study
Initiatives
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To evaluate the accuracy of heart rate monitoring by a personal fitness tracker (PFT) among hospital inpatients.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2015
- End Year
- 2016
- Funding
- DMM and JGB are supported by funding from the Southeastern Ontario Academic Medical Organization (SEAMO).
Design
- Study design
- Clinical trial cohort
Marker Paper
Kroll RR, Boyd JG, Maslove DM. Accuracy of a Wrist-Worn Wearable Device for Monitoring Heart Rates in Hospital Inpatients: A Prospective Observational Study. J Med Internet Res. 2016;18(9):e253. Published 2016 Sep 20. doi:10.2196/jmir.6025
PUBMED 27651304
Recruitment
- Sources of Recruitment
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- Individuals
Number of participants
- Number of participants
- 50
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
patients in the intensive care
The 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 was conduct.
Selection Criteria
- Minimum age
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18
- Newborns
- Twins
- Countries
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- Canada
- Territory
- Ontario
- Ethnic Origin
-
- Health Status
-
- Patients in the intensive care, Spontaneously breathing, Cardiac telemetry and/or continuous SpO2 monitoring in place
Recruitment
- Sources of recruitment
-
- Clinical patients
Number of participants
- Number of participants
- 49
- Number of participants with biosamples
Data Collection Event
This study will address the feasibility of using wrist-worn fitness trackers to monitor hospital inpatients. The study is being conducted in the Intensive Care Unit where patients are closely monitored, in order to provide gold standard measurements of heart rate, and accurate estimates of sleep quality.
- Start Date
-
2015-08
- End Date
-
2016-02
- Data sources
-
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Mobile data collection
- Smartwatch and wearables
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Mobile data collection