EEG-based Brain-computer Interface Database for Motor Rehabilitation

NCT ID: NCT06861517

Last Updated: 2025-03-06

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 30 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-09-02
• Study Completion Date: 2024-12-01

Brief Summary

The human brain, as a processing center, controls bodily, cognitive, emotional and social functions, enabling perception, signal analysis and decision making. However, these functions can be affected by acquired brain injury (ABI), resulting from traumatic (blows to the head) or non-traumatic factors (tumors, strokes, infections, among others). Annually, about 55 million new cases of ABI are reported, with sequelae that can affect the quality of life of patients and their families. This scenario has driven research into tools to mitigate and recover lost capabilities. The Center for Rehabilitation Engineering and Neuromuscular and Sensory Research (CIRINS) of the Faculty of Engineering of the National University of Entre Ríos in Argentina has developed neuromuscular and sensory rehabilitation systems, with a focus on the innovation of motor rehabilitation tools using EEG-based brain-computer interfaces (BCI). These BCIs stand out for their economy and versatility, showing significant effects in the rehabilitation of motor functions. Challenges in BCI include signal complexity, artifacts, and inter-person variability, making it difficult to estimate user intent and extending calibration time. To mitigate these problems, strategies based on Deep Learning and dictionary learning have been proposed, which allow for sparse representations of data, being robust to noise and missing data, but with challenges in classification. The study proposes to develop a database of electroencephalographic signals applicable in the development of new algorithms for processing and feature extraction of this type of signals, contributing to the development of technology that supports rehabilitation processes.

Conditions

Healthy Adults

Study Design

• Observational Model Type: OTHER
• Study Time Perspective: CROSS_SECTIONAL

Study Groups

Healthly Volunteer

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

• Willingness and ability to fully understand the purpose and scope of the experiment and to comply with the experiment instructions.
• Ability to easily distinguish visually the figures in the study.
• Ability to perform tasks that demand sustained concentration.

Exclusion Criteria

• History of neurological diseases.
• Suffering from any type of musculoskeletal disorder that limits the motor skills necessary for the experiment.
• Having a significant hearing loss that prevents him/her from hearing the study instructions.
• Pregnancy.
• Lack of cooperation.

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 60 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Jaime Alejandro Quiroga Forero

OTHER

Sponsor Role: lead

Responsible Party

Jaime Alejandro Quiroga Forero

Principal Investigator

Responsibility Role: SPONSOR_INVESTIGATOR

Locations

Faculty of Engineering, National University of Entre Ríos

Oro Verde, Entre Ríos Province, Argentina

Countries

Argentina

Related Links

https://link.springer.com/chapter/10.1007/978-3-031-61973-1_1

Publication about EEG Sensorimotor Rhythms

https://link.springer.com/chapter/10.1007/978-3-031-49407-9_10

Motor Intention in EEG-Based BCI

Other Identifiers

IS004678

Identifier Type: -

Identifier Source: org_study_id