MedTrace Logo

Assessment of Utility of accelerateIQ in the Care of Patients Participating in a Pulmonary Rehabilitation Program

NCT03879291 · Status: TERMINATED · Type: OBSERVATIONAL · Enrollment: 5

Last updated 2020-03-16

No results posted yet for this study

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

  • COPD
  • Pulmonary Rehabilitation

Interventions

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

Sponsors & Collaborators

  • Sunovian

    collaborator UNKNOWN

  • Karen Larimer

    lead INDUSTRY

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-01-09
Primary Completion
2019-12-30
Completion
2019-12-30
FDA Device
Yes

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03879291 on ClinicalTrials.gov