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Detect and Infer the Severity of COPD by Intelligent Terminal Device

NCT05551169 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 432

Last updated 2024-01-05

No results posted yet for this study

Summary

Chronic obstructive pulmonary disease (COPD) is one of the most common respiratory diseases. Early detection and treatment are critical to prevent the deterioration of COPD. In this study, investigators aim to develop an algorithm that can detect and infer the severity level of COPD from physiological parameters and audio data which are collected by a wearable device. Investigators will complete the study in two stages: stage 1. A panel study to assess the ability to infer the severity of COPD by intelligent terminal devices; stage 2. Establish an algorithm that can detect and infer the severity level of COPD by intelligent terminal devices.

Conditions

Sponsors & Collaborators

  • People's Hospital of Beijing Daxing District

    collaborator OTHER

  • Beijing Miyun Hospital

    collaborator UNKNOWN

  • Civil Aviation General Hospital

    collaborator OTHER

  • Aerospace 731 Hospital

    collaborator OTHER

  • The Hospital of Shunyi District Beijing

    collaborator UNKNOWN

  • Shichahai community health service center

    collaborator UNKNOWN

  • Peking University Shougang Hospital

    collaborator OTHER

  • Beijing Jingmei Group General Hospital

    collaborator UNKNOWN

  • Beijing Luhe Hospital

    collaborator OTHER

  • Beijing Jishuitan Hospital

    collaborator OTHER

  • Peking University First Hospital

    lead OTHER

Principal Investigators

  • Guangfa Wang, MD · Peking University First Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-06-21
Primary Completion
2023-08-11
Completion
2023-08-11

Countries

  • China

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 NCT05551169 on ClinicalTrials.gov