Article

Fitbit data show poor correlation with measures of activity and sleep among hospitalized general medicine patients

2020-10-15

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> Wearable devices such as Fitbits may provide important insights about hospitalized patients that include data on low activity and poor sleep. Monitoring this information could spur interventions to improve mobility and sleep which may reduce the adverse effects associated with hospitalization. However, there is a lack of studies assessing the accuracy of wearabl...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4ff2dd8f-d8b8-5315-88ef-15df11e1d8b3
DOI: 10.21203/rs.3.rs-61615/v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Fitbit data show poor correlation with measures of activity and sleep among hospitalized general medicine patientsDOI 10.21203/rs.3.rs-61615/v2Read

Reliable Contactless Monitoring of Heart Rate, Breathing Rate and Breathing Disturbance During Sleep in Aging: A Digital Health Technology Evaluation StudySemantic proximity Read

11 million days of longitudinal wearable data reveal novel future health insightsSemantic proximity Read

Validation of Consumer and Research-Grade Activity Monitors Against Polysomnography in Healthy AdultsSemantic proximity Read

Wearable Technology in the Management of Complex Chronic Illness: Preliminary Survey Results on Self-Reported OutcomesSemantic proximity Read

Validation of an open-source smartphone step counting algorithm in clinical and non-clinical settingsSemantic proximity Read

40 years of actigraphy in sleep medicine: where do we stand on the state-of-the-art algorithms?Semantic proximity Read

Accuracy and Reliability of a Suite of Digital Measures of Walking Generated Using a Wrist-worn Sensor: Performance Characterization StudySemantic proximity Read

Severity of Depression and Anxiety Symptoms Manifest in Physiological and Behavioral Metrics Collected from a Consumer-Grade Wearable RingSemantic proximity Read

Severity of Depression and Anxiety Symptoms Manifest in Physiological and Behavioral Metrics Collected from a Consumer-Grade Wearable RingSemantic proximity Read

Characterizing the All of Us Research Program's Wearables Dataset: A Transformative Resource for Digital Health ResearchSemantic proximity Read

Implementation Framework to Increase Patient Adherence in Clinical Trials Utilizing Wearable DevicesSemantic proximity Read

Wearable device signals and home blood pressure data across age, sex, race, ethnicity, and clinical phenotypes in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) study: a prospective, community-based observational study.Semantic proximity Read