Automated Diagnostic Performance of Smartwatch ECG for Arrhythmia Detection Using the PulseAI Neural Network.
NCT ID: NCT05668377
Last Updated: 2022-12-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
300 participants
OBSERVATIONAL
2023-01-01
2024-01-01
Brief Summary
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Detailed Description
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The arrhythmias will include:
* Atrial Fibrillation/Flutter
* Tachycardia
* Bradycardia
* Premature Atrial Contractions
* Premature Ventricular Contractions
Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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PulseAI ECG Platform
Cloud-based AI-enabled ECG analysis platform
Eligibility Criteria
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Inclusion Criteria
* Patient admitted to hospital for ablation, cardioversion, or cardiac electrophysiological exploration.
* Patient who has read the information note and has given their consent before any procedure related to the study.
Exclusion Criteria
22 Years
80 Years
ALL
Yes
Sponsors
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Beacon Hospital Research Institute, Dublin, Ireland
UNKNOWN
PulseAI Ltd
INDUSTRY
Responsible Party
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Principal Investigators
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David Burke, PhD
Role: PRINCIPAL_INVESTIGATOR
Beacon Hospital Research Institute, Dublin
Locations
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Beacon Hospital Research Institute
Dublin, , Ireland
Countries
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Central Contacts
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Facility Contacts
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David Burke, PhD
Role: primary
Other Identifiers
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1
Identifier Type: -
Identifier Source: org_study_id