ClinicalTrials.gov
public full text
Public Domain
Cardiac Auscultation Using Smartphones
The investigators performed a proof-of-concept study enrolling subjects with normal and pathologic heart sounds. Heart sound was recorded by auscultation on the skin of the chest wall using three smartphones: Samsung Galaxy S5 and Galaxy S6, and LG G3 . Recorded heart sounds were processed and classified by a diagnostic algorithm using convolutional neural networks.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation#919459
- Heart Sounds Registry#968790
- Attractor Image-Based Deep Learning of Arterial Pulse Waves for Age Classification#447933
- Acoustic Cardiographic Assessment of Heart Function and the Role of Phrenic Nerve Stimulation#848405
- An empirical comparison of deep CNN architectures for heart sound classification from phonocardiogram signals.#678345
Record · ID 1140939
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive