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Voice characteristics reflecting pulmonary congestion in the patients with heart failure: Pilot study for the analysis of voice using AI

Voice characteristics reflecting pulmonary congestion in the patients with heart failure: Pilot study for the analysis of voice using AI

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0007646
Enrollment
100
Registered
2022-08-09
Start date
2020-11-05
Completion date
Unknown
Last updated
2023-09-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Koera University Guro Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Acute decompesated heart failure patients need to be admitted for treatment

Exclusion criteria

Exclusion criteria: Respiratory infection, Sepsis, Significant lesions in pulmonary/vocal cord/larynx, acute coronary syndrome within 4 weeks, serum Cr>3mg/dL, patients who are unable to speak Korean

Design outcomes

Primary

MeasureTime frame
Voice characteristis analysis—

Secondary

MeasureTime frame
Body weight, nt-proBNP, ST2—

Countries

Korea, Republic of

Contacts

Public ContactJi Eun Lee

Koera University Guro Hospital

ch93lje@naver.com+82-2-2626-1108

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026