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Participants with respiratory disease experience often a worsening of their condition, with increasing symptoms such as cough and shortness of breath. This worsening, often called exacerbation or flare up, impacts on the life of the participants, since they become limited in their daily activities.
Healthcare is still based today on limited times for clinical appointments to perform investigations and to meet with specialists/clinicians. Very often, these evaluations do not reflect the way the disease is limiting the patient's life.
Wearable devices offer the opportunity to collect data on physical activities and important clinical parameters (such as how the patient is active or just staying in bed during the day), on a daily basis.
The HG Phoenix AI- based Smart Watch produced by Health Gauge, an Albertan company based in Edmonton, has the potential to measure heart rate, heart rate variability, blood pressure, pulse wave velocity, respiratory rate, temperature, arterial saturation, sleep pattern (deep, light sleep, awake time), duration and time, daily physical activities (site count and distance) and calories burnt in a simple and non-invasive fashion. Ideally, these parameters could be monitored and recorded 24 hours per 7 days per week.
This study aims to demonstrate that this device can be used for a long time at home and it is comfortable to use for the participants, that it is not dangerous and, possibly, that it can help to identify exacerbations before the currently available investigations.
Participants will be asked to wear the Health Gauge AI-based Wearable Device for at least 8 hours per day (ideally 24 hours), 3 days per week, for 6 months. The following data will be continuously collected from the wearable device:
heart rate, blood pressure, pulse wave velocity, respiratory rate, temperature, arterial saturation, sleep patterns, daily physical activities (step count and distance), and calories burnt.
Clinical data including demographics, radiographic, cardiac and lung functioning, diagnosis, and comorbidities will be collected from the participant's electronic medical record at baseline, 3 months, and 6 months.
Quality of life questionnaires (Saint George Respiratory Questionnaire, Medical Research Council Dyspnea Score, and EQ5-DL) will be completed by the participant through the Zamplo digital app at baseline, 3 and 6-month time points. A questionnaire on participant experience will also be administered at the 3 and 6-month time points.
Participants will be called monthly to assess patient-reported compliance with the wearable device, and adverse events (including emergency room visits and hospitalizations).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Device: Health Gauge AI-Based Wearable Device - Model: Phoenix | Experimental |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Health Gauge AI-Based Wearable Device - Model: Phoenix | Device | Wearable device |
|
| Measure | Description | Time Frame |
|---|---|---|
| Length of time wearing device | Total length of time participant wears device | 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Prediction of respiratory exacerbations- Number of emergency room visits or hospitalizations | Explore the possibility to predict exacerbations/flares up of the respiratory condition of the patients | 6 months |
| Adverse Events |
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Inclusion Criteria:
Exclusion Criteria:
Exclusion Criteria for healthy control only:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Alberta Hospital | Edmonton | Alberta | T6G 2B7 | Canada |
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| ID | Term |
|---|---|
| D006976 | Hypertension, Pulmonary |
| D029424 | Pulmonary Disease, Chronic Obstructive |
| D017563 | Lung Diseases, Interstitial |
| ID | Term |
|---|---|
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D006973 | Hypertension |
| D014652 | Vascular Diseases |
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The study will compare healthy controls to those with respiratory disease. Both groups will be wearing the watch and completing the same questionnaires
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Number of adverse events
| 6 months |
| D002318 |
| Cardiovascular Diseases |
| D008173 | Lung Diseases, Obstructive |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |