A high-performance 4 nV (√Hz)−1 analog front-end architecture for artefact suppression in local field potential recordings during deep brain stimulation
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 262
- Type
- D - Journal article
- DOI
-
10.1088/1741-2552/ab2610
- Title of journal
- Journal of Neural Engineering
- Article number
- 066003
- First page
- -
- Volume
- 16
- Issue
- 6
- ISSN
- 1741-2552
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
10.1088/1741-2552/ab2610
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The use of existing closed-loop, deep-brain, stimulation systems to treat Parkinson's disease is limited by their inability to provide high-frequency neural recordings free from control signal artefacts. This work demonstrated a novel solution through in-vitro and in-vivo experiments funded by industrial partner (Medtronic; NN0995, £120K) under the aegis of the EPSRC CDT Grant EP/L016737/1 on Neurotechnology. A follow-up £285k bespoke instrument study (Rosetrees Trust, A2592, Dementia Research Institute UK) is now enabling home-monitoring for motor-neuron-disease patients.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -