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NCT05668377
Automated Diagnostic Performance of Smartwatch ECG for Arrhythmia Detection Using the PulseAI Neural Network.
trial testing PulseAI ECG Platform in Arrhythmias, Cardiac in 300 participants. Status unknown.
1 January 2024
Quick facts
| Lead sponsor | PulseAI Ltd |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 300 |
| Start date | 1 January 2023 |
| Primary completion | 1 January 2024 |
| Estimated completion | 1 January 2024 |
| Sites | 1 location across Ireland |
Drugs / interventions tested
- PulseAI ECG Platform
Conditions studied
- Arrhythmias, Cardiac — all drugs for Arrhythmias, Cardiac →
Sponsor
PulseAI Ltd
Who can join
Adults 22 to 80, any sex, with Arrhythmias, Cardiac. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The study is to evaluate the performance of the PulseAI neural network technology at interpreting ECG data recorded using a single-lead Smartwatch (Apple Watch).
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT05668377
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05668377 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by PulseAI Ltd
- Last refreshed: 29 December 2022
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05668377.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing