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Integrating Electronic Patient Reported Biometric Measures (ePReBMs) From Wearable Devices in Respiratory Diseases

University of Alberta · 2021
ClinicalTrials.gov · Datasets · License: Public Domain · 2021
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cystic-fibrosisnapulmonary-tuberculosis
Lung diseases are one of the most common causes of emergency room visits. There are very few tools that are able to predict which patients will have a worsening or increasing severity of their condition. There are also limited ways to check the health of patients with respiratory conditions at home and during the time between medical appointments. The ADAMM-RSMTM device records heart rate, breathing rate, temperature, cough and activity while wearing it. This study will test participants willingness to wear the device and perform ongoing monitoring to assess the possibility to predict the onset and increases in severity of their lung conditions.
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