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Observing the heartbeat in patients using an application to find abnormal heartbeat patterns and comparing with ECG to know its reliability.

App Based Holter Monitoring in Detecting Rhythm Abnormalities and it’s Correlation to ECG - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/12/077869
Enrollment
106
Registered
2024-12-09
Start date
Unknown
Completion date
Unknown
Last updated
2025-02-03

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

Conditions

Health Condition 1: I499- Cardiac arrhythmia, unspecified

Interventions

None listed

Sponsors

Saveetha Medical College and Hospital
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: All patients of both sexes for whom 24 hour holter monitoring had been asked for and willing for study.

Exclusion criteria

Exclusion criteria: Patients who are not willing for holter monitoring

Design outcomes

Primary

MeasureTime frame
To elucidate the diagnostic accuracy of rhythm abnormalities detected through 24-hour holter monitoring, facilitating enhanced cardiovascular diagnostics and patient care protocols based on evidence-based findings.Timepoint: 24 hours—

Secondary

MeasureTime frame
To assess the correlation between anomalies detected through holter monitoring and those identified in 12-lead ECG findingsTimepoint: 0 hours ECG, 24 hours holter monitoring—

Countries

India

Contacts

Public ContactDR JEYARAMAN SAI PRITAM

SAVEETHA MEDICAL COLLEGE AND HOSPITAL

pritamjeya24@gmail.com7702423885

Outcome results

None listed

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