Trials / Terminated
TerminatedNCT03879291
Assessment of Utility of accelerateIQ in the Care of Patients Participating in a Pulmonary Rehabilitation Program
- Status
- Terminated
- Phase
- —
- Study type
- Observational
- Enrollment
- 5 (actual)
- Sponsor
- Karen Larimer · Industry
- Sex
- All
- Age
- 40 Years
- Healthy volunteers
- —
Summary
The proposed study seeks to assess the performance of continuous biosensor data and machine learning analytics in assessment of health patient status in a pulmonary rehabilitation program. It is hypothesized that using continuous physiologic biosensor data and machine learning analytics to detect changes in physiology may play a role in managing patients in the pulmonary rehabilitation setting.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | pinpointIQ | The study will utilize physIQ's multivariate analytical methods that detect vital sign relationship changes compared to a patient's individual baseline. Changes in vital signs relationships may be indicative of current or future important clinical events. These changes are indicated through the Multivariate Change Index (MCI), which is a scalar index between 0 and 1, where values close to 0 indicate no significant change from baseline and values close to 1 indicated greater changes from baseline |
Timeline
- Start date
- 2019-01-09
- Primary completion
- 2019-12-30
- Completion
- 2019-12-30
- First posted
- 2019-03-18
- Last updated
- 2020-03-16
Locations
1 site across 1 country: United States
Regulatory
- FDA-regulated device study
Source: ClinicalTrials.gov record NCT03879291. Inclusion in this directory is not an endorsement.