ClinicalTrials.gov
public full text
Public Domain
Brain Vital Signs M-Score: Point-of-care Monitoring for Motor Recovery After Stroke
The purpose of this study is to investigate brain signals relating to motor function, using electroencephalography (EEG) technology. The aims of the study can be separated into 3 specific study objectives: 1. Record EEG data from control participants and individuals with stroke during basic motor tasks and build a database of EEG signals to enable analysis of motor control. 2. Apply signal processing algorithms to extract EEG features related to motor control. 3. Develop a framework/the motor score (M-Score) that uses the EEG signals, in combination with machine learning approaches, to quantify motor control ability.
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
- EEG Based BCI for Upper Limb Rehabilitation in Stroke#810847
- Non-Invasive Brain Signal Training to Induce Motor Control Recovery After Stroke#1149890
- Effects of motor imagery brain-computer interface task on quantitative EEG features in patients with prolonged disorders of consciousness.#251250
- Case Report: post-stroke rehabilitation with a visuomotor transformation-based brain-computer interface.#143373
- Brain and muscle interplay in lower limb motor recovery: insights for a comprehensive BCI approach for neurorehabilitation.#1158436
Record · ID 826365
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