Projects per year
Personal profile
Research interests
Profile
Dr Metcalfe was an RB & SE Whorrod scholar as well as the B Nicholson scholar at the University of Bath. He has worked as a consultant engineer on many low-power signal processing projects and has been awarded multiple patents in this area. His research interests lie in the areas of biomedical signal processing and neural engineering. Potential PhD students interested in these areas should contact Dr Metcalfe directly.
Research interests
- Advanced neural interfaces
- Biologically inspired autonomous systems
- Biomedical signal processing for both in-vivo and ex-vivo applications
- Neuronal modeling and computing
Willing to supervise PhD
Ben is able to supervise PhD students and currently has a PhD studentship available. Interested candidates should contact Ben to learn more.
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2018 2020
Research Output 2014 2019
Detecting Bladder Fullness from Sacral Roots: The First Step
Metcalfe, B., Sadrafshari, S., Granger, N., Grego, T., Donaldson, N. & Taylor, J., 2019, (Accepted/In press).Research output: Contribution to conference › Abstract
Integrating Digital Tools and Technologies for Assessment
Valero, M. & Metcalfe, B., 2019, (Accepted/In press).Research output: Contribution to conference › Abstract
2
Citations
(Scopus)
A compact, low-cost unmanned surface vehicle for shallow inshore applications
Metcalfe, B., Thomas, B., Treloar, A., Rymansaib, Z., Hunter, A. & Wilson, P., 23 Mar 2018, 2017 Intelligent Systems Conference, IntelliSys 2017. IEEE, p. 961-968 8 p. 8324246Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
An analytical comparison of locally-connected reconfigurable neural network architectures using a c. Elegans locomotive model
Graham-Harper-Cater, J., Metcalfe, B. & Wilson, P., 1 Sep 2018, In : Computers. 7, 3, 43.Research output: Contribution to journal › Article
Open Access
66
Downloads
(Pure)
A Reconfigurable Architecture for Implementing Locally Connected Neural Arrays
Graham-Harper-Cater, J., Clarke, C., Metcalfe, B. & Wilson, P., 26 Apr 2018, (Accepted/In press) Proceedings of the 2018 Science and Information (SAI) Computing Conference. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Curran Associates, p. 76-92 17 p. (Advances in Intelligent Systems and Computing; vol. 857).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Datasets
Multi-channel Recordings from L2 Dorsal Root of Rat
Metcalfe, B. (Creator), University of Bath, 2016
DOI: 10.15125/BATH-00249
Dataset
Thesis
Innovative Microelectronic Signal Processing Techniques for the Recording and Analysis of the Human Electroneurogram
Author: Metcalfe, B., 12 Feb 2016Supervisor: Clarke, C. (Supervisor) & Taylor, J. (Supervisor)
Student thesis: Doctoral Thesis › PhD
File
Optimised Architectures and Implementations for Efficient Neuromorphic Hardware Design
Author: Graham-Harper-Cater, J., 4 Sep 2019Supervisor: Metcalfe, B. (Supervisor) & Wilson, P. (Supervisor)
Student thesis: Doctoral Thesis › PhD
File