ClinicalTrials.gov
public full text
Public Domain
Physical Workload Identify in Chest Compression Position Using Surface Electromyogram
The chest compression depth decreases over time after starting continuous chest compression due to the rescuers' fatigue. The investigators hypothesized that the frequency parameters from surface electromyogram from each muscle during chest compression may reflect the muscle fatigue of the rescuers. Then investigators can identify which of the body are mainly used and get tired by continuous chest compression using surface electromyogram.
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
- Unlocking high-intensity performance thresholds through ventilatory signatures in the ECG.#213976
- Temporal Dynamics of Heart Rate Variability Reveal Stressor-specific Autonomic Patterns: A Multi-stressor Study#1161156
- Assessing Respiratory Rate and Tidal Volume Delivery During Manual Ventilation#905733
- CALM-CXR: a calibration-aware lung-masked workflow for hierarchical chest X-ray classification.#452822
- Effect of Bi-ventricular Pacing on Autonomous Nervous System#908314
Record · ID 1214288
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