ClinicalTrials.gov
public full text
Public Domain
Acoustic OSA Prediction During Wakefulness and Monitoring During Sleep
The purpose of this study is to investigate the feasibility of sound analysis for: a) sleep apnea detection both during wakefulness and sleep, and b) flow-sound relationship during both wakefulness and sleep in patients and control individuals. The ultimate goal of our research is to simplify the current assessments for sleep apnea detection so that it is more convenient for patients and also much faster than the current techniques.
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
- Prototype-based sleep micro-structure learning for explainable and robust multimodal recognition of sleep-related conditions#5471
- Toward Elastic Speech Inference: Training-Free Wake-Word Detection from Pretrained ASR#1156117
- Cross‐Night Modulation of Change Detection ERPs to Foreign Speech Sound Features During N2 Sleep#983615
- RANSAC-based training data selection for speaker state recognition#955353
- Cross-Night Modulation of Change Detection ERPs to Foreign Speech Sound Features During N2 Sleep.#988716
Record · ID 897850
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