Enlighten Publications
metadata only
Remote laser-speckle sensing of heart sounds for health assessment and biometric identification
Assessment of heart sounds is the cornerstone of cardiac examination, but it requires a stethoscope, skills and experience, and a direct contact with the patient. We developed a contactless, machine-learning assisted method for heart-sound identification and quantification based on the remote measur
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
- Detection of Valvular Heart Disease Using Artificial Intelligence-based Stethoscope#912642
- Ultrasound Based Monitoring of Flow Front and Laminate Thickness without Contact to Part#464029
- Noninvasive, Subharmonic Intra-Cardiac Pressure Measurement#1085791
- Collecting Respiratory Sound Samples From Corona Patients to Extend the Diagnostic Capability of VOQX Electronic Stethoscope to Diagnose COVID-19 Patients#833934
- Speckle Plethysmography Pulse Transit Time as a Marker of Blood Pressure Changes#910868
Record · ID 1065711
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