The purpose the study is to successfully characterize the recovery phase of acute exacerbations of COPD in the outpatient setting using remotely captured physiologic data from wearable devices, to compare this with patient self-reported symptom data, to determine which physiologic variable(s) best correspond with AECOPD recovery, and to further document the feasibility, data quantity, data quality, and COPD outpatient usability experience with wearable devices.
Study Type
OBSERVATIONAL
Enrollment
21
Passive data collection using biometric wearable devices.
McGill University Health Centre
Montreal, Quebec, Canada
Daily symptom score
Validated AECOPD symptom score (EXACT PRO) will serve as the dependent (outcome) variable.
Time frame: Daily for 21 days
Daily/nightly respiration
Respiratory rate (RR) will serve as the primary independent (predictor) variable, and RR variability will serve as a secondary independent (predictor) variable.
Time frame: Daily for 21 days
Daily/nightly heart rate and HR variability
HR and HRV will serve as secondary independent (predictor) variables.
Time frame: Daily for 21 days
Daily/nightly peripheral body temperature
Temperature will serve as secondary independent (predictor) variables.
Time frame: Daily for 21 days
Activity
Activity parameters (including calories, METS, step count, etc.) will serve as secondary independent (predictor) variables.
Time frame: Daily for 21 days
Sleep metrics
Sleep metrics (including rem and non-rem stages of sleep; sleep duration, latency, efficiency, etc.) will serve as secondary independent (predictor) variables.
Time frame: Daily (nightly) for 21 days.
Autonomic function/Stress
Metrics of stress/autonomic function (including electrodermal activity) will serve as secondary independent (predictor) variables.
Time frame: Daily for 21 days
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