BCIwiki (bciwiki.com) — Researchers affiliated with Universitat Politècnica de València, Spain, and Universidad Autónoma de Bucaramanga, Colombia, published a BCI study design and reporting framework in Sensors on October 27, 2026. It organizes 20 components into experimental and system sections, with an accompanying taxonomy and checklist.
The framework addresses brain-computer interfaces (BCIs) based on motor imagery (MI) and steady-state visually evoked potential (SSVEP) paradigms, with a focus on rehabilitation and robotics. The former involves imagining movement, while the latter involves stable brain responses elicited by visual stimulation. The researchers reviewed scientific literature to identify best practices, common phases and key components in relevant research and applications.
The framework comprises 20 components organized into experimental and BCI system sections. The experimental section formalizes non-technical phases critical to study validity, while the system section describes technical architecture. A taxonomy derived from the framework structures terminology, and an accompanying checklist helps researchers check that all elements are present.
The authors argue that combining experimental design with functional system components promotes methodological consistency and facilitates ethical considerations and user characterization. Documentation assessment in three BCI studies demonstrated the framework's applicability and value as a practical tool. This assessment concerned study documentation; it does not establish improvements in rehabilitation outcomes or robot-control performance.