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Preprocessing (noise removal) of Electroencephalogram (EEG) Signals

Development of Efficient Denoising Techniques for EEG Signal Processing Applications - NIL

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/03/081753
Enrollment
23
Registered
2025-03-06
Start date
Unknown
Completion date
Unknown
Last updated
2025-09-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Intervention1: Not Applicable: Not Applicable Control Intervention1: Not Applicable: Not Applicable

Sponsors

Vandana
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Healthy adults (Normal subjects Only) 2. Participants with no history of neurological conditions 3. Participants willing to provide informed consent

Exclusion criteria

Exclusion criteria: 1. Individuals on medications affecting neural activity 2. Pregnant women

Design outcomes

Primary

MeasureTime frame
Data collection, Sampling the data, Application of Conventional noise removal techniques, Measurement of metrics such as Signal to noise ratio, Correlation coefficient, Root mean square Error etc.Timepoint: 48 weeks—

Secondary

MeasureTime frame
Application of Deep learning based techniques for denoising the EEG signal, measurement of various performance parameters & validationTimepoint: 48 weeks—

Countries

India

Contacts

Public ContactDr Subramanya G Nayak

Manipal Institute of Technology (MIT), Manipal

vandanakadekar@gmail.com9743295760

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026