Stimulation artefact removal: review and evaluation of applications in evoked responses

T Zhang; K Lawson; WL Lee; M Petoe; A Moorhead; K Bulluss; W Thevathasan; H McDermott; T Perera

Journal article

Stimulation artefact removal: review and evaluation of applications in evoked responses

T Zhang, K Lawson, WL Lee, M Petoe, A Moorhead, K Bulluss, W Thevathasan, H McDermott, T Perera

Journal of Neural Engineering | IOP Publishing Ltd | Published : 2024

DOI: 10.1088/1741-2552/ad9959

Abstract

Objective. This study investigated software methods for removing stimulation artefacts in recordings undertaken during deep brain stimulation (DBS). We aimed to evaluate artefact attenuation using sample recordings of evoked resonant neural activity (ERNA), as well as a synthetic ground-truth waveform that emulated observed ERNA characteristics. Approach. The synthetic waveform and eight raw DBS recordings were processed by fourteen algorithms spanning the following categories: signal modification, signal decomposition, and template subtraction. For the synthetic waveform, performance was quantified by comparing each reconstructed signal against the ground-truth waveform. For DBS recordings,..

View full abstract

University of Melbourne Researchers

Matthew Petoe Author

Kristian Bulluss Author

Wesley Thevathasan Author

Hugh McDermott Author

Related Projects (1)

CLOSED-LOOP DEEP BRAIN STIMULATION: OPTIMISING TREATMENT OF PARKINSON’S DISEASE USING ADAPTIVE STIMULATION

Deep brain stimulation is an established therapy for Parkinson's disease when patients’ symptoms cannot be controlled adequately using medic..

Grants

Awarded by State Government of Victoria

Funding Acknowledgements

This work was supported by the National Health and Medical Research Council (Project Grant No. 1103238, Development Grant No. 1177815), the Global Innovation Linkages Program, and the Victorian Medical Research Acceleration Fund. The Bionics Institute is supported by the Victorian Government Operational Infrastructure Support Program.