Artefact-free recording of local field potentials with simultaneous stimulation for closed-loop Deep-Brain Stimulation
Autor: | Huiling Tan, Timothy J. Denison, Peter Brown, Shenghong He, Alek Pogosyan, Moaad Benjaber, Lea Gaignon, Jean Debarros |
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Rok vydání: | 2020 |
Předmět: |
Deep brain stimulation
genetic structures Computer science Deep Brain Stimulation medicine.medical_treatment 020208 electrical & electronic engineering Brain Stimulation 02 engineering and technology Local field potential Signal Simultaneous stimulation Article body regions 03 medical and health sciences 0302 clinical medicine nervous system 0202 electrical engineering electronic engineering information engineering medicine Longitudinal Studies Artifacts Neuroscience Closed loop 030217 neurology & neurosurgery |
Zdroj: | EMBC Annu Int Conf IEEE Eng Med Biol Soc |
Popis: | Continuous high frequency Deep Brain Stimulation (DBS) is a standard therapy for several neurological disorders. Closed-loop DBS is expected to further improve treatment by providing adaptive, on-demand therapy. Local field potentials (LFPs) recorded from the stimulation electrodes are the most often used feedback signal in closed-loop DBS. However, closed-loop DBS based on LFPs requires simultaneous recording and stimulating, which remains a challenge due to persistent stimulation artefacts that distort underlying LFP biomarkers. Here we first investigate the nature of the stimulation-induced artefacts and review several techniques that have been proposed to deal with them. Then we propose a new method to synchronize the sampling clock with the stimulation pulse so that the stimulation artefacts are never sampled, while at the same time the Nyquist-Shannon theorem is satisfied for uninterrupted LFP recording. Test results show that this method achieves true uninterrupted artefact-free LFP recording over a wide frequency band and for a wide range of stimulation frequencies.Clinical relevance-The method proposed here provides continuous and artefact-free recording of LFPs close to the stimulation target, and thereby facilitates the implementation of more advanced closed-loop DBS using LFPs as feedback. |
Databáze: | OpenAIRE |
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