ClinicalTrials.gov
public full text
Public Domain
Study of the Approximate Entropy of Adrenocorticotropic Hormone and Cortisol Secretion in Patients With Head Injury
OBJECTIVES: I. Determine the randomness of adrenocorticotropic hormone (ACTH) and cortisol secretion using approximate entropy in patients who have sustained a head injury. II. Determine the correlation between randomness of ACTH and cortisol secretion and stages of sleep in these patients.
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
- Relative incidence rate of accidental injuries at work by working hours, number of job contract, NACE Rev. 1.1 activity, age and sex (EU mean rate = 100)#814734
- Age- and cognitive load-related variability and entropy of gait: integrating coefficient of variation, median absolute deviation, and permutation entropy of spatiotemporal parameters into the Semmelweis Study gait assessment framework.#364808
- Accidents at work by sex, age, severity, NACE Rev. 2 activity and contact mode of injury#814881
- Treatment for Patients With Chronic Post-Concussion Symptoms#1094337
- Relative standardised incidence rate of accidental injuries at work by educational attainment level and sex (mean rate for each Member State = 100)#814732
Record · ID 1173113
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