Modification of wake/sleep identification algorithms in an innovative actigraph platform against polysomnography in patients with chronic obstructive pulmonary disease

Disturbed sleep is a common feature of chronic obstructive pulmonary disease (COPD) ranking third in frequency behind shortness of breath and fatigue. Actigraphy is a non-invasive technique for monitoring sleep at patient’s own home and is an attractive alternative to expensive laboratory based tests like polysomnography. Unfortunately, no studies have tested the accuracy of actigraphs in patients with COPD. The actigraph designed for this study (Ezibreath, Manf: Agartee) is innovative as it can measure many variables in patients with COPD and send the results remotely to care providers. At this stage, Agartee must evaluate Ezibreath’s accuracy to measure the parameters in COPD patients for which they will work with Nafeez Syed, a graduate student and Dr. Jordan Guenette, an Assistant Professor at the University of British Columbia for assessing and modifying sleep/wake logarithms. The study will directly compare the designed actigraph to polysomnography in 10 clinically stable patients with moderate-to-severe COPD.

Faculty Supervisor:

Jordan Guenette

Student:

Partner:

Agartee Technology Inc

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

The University of British Columbia

Program: