Professor John Taylor
BBSc, PhD, FCA
Profile
Prof Taylor was born in Wanstead, Essex, UK, in 1952. He received BSc and PhD degrees from Imperial College, London University in 1973 and 1984 respectively.
From 1984 to 1985 he held the post of Research Fellow in the Department of Electrical Engineering, University of Edinburgh, Scotland, where worked on certain theoretical aspects of switched-capacitor filter design.
He joined the Department of Electronic and Electrical Engineering at University College London in 1985 and subsequently, in 2002, the Department of Electronic and Electrical Engineering at the University of Bath, where he holds the position of Professor of Microelectronics and Optoelectronics and Director of the Centre for Advanced Sensor Technologies.
Research
Prof Taylor’s current research interests are in the fields of analogue and mixed analogue and digital system design, especially low-power implantable systems for biomedical applications and interfacing between tissue and electronics. For example, a current project aims at increasing the functionality of systems for chronic recording of electroneurogram (ENG) signals.
Together with colleagues at University College, London, the University of Aalborg (Denmark) and the University of Freiburg (Germany), he has been developing a technique that allows the classification of neural activity in terms of its velocity spectrum. This approach allows the level of activity in nerve fibres of different diameter to be measured, providing information about the origin and destination of the neural traffic.
A second application area seeks to provide a cheap, easy to use alternative to patch clamping as a method of measuring cellular activity for applications such as high throughput screening (HTS). This method seeks to avoid the use of expensive and complex equipment and the need for highly trained staff by employing standard CMOS technology that is both very cheap and readily available.
The technique also provides an ideal platform for a range of biosensors of great current significance in medical and defence applications. Although the material surfaces of the ICs are modified to form biocompatible electrodes, no expensive specialist post-processing is required. The A UK patent has recently been filed on this invention.
Professor Taylor has published more than 160 technical papers in international journals and conferences and has co-edited a handbook on filter design. He is a regular presenter and invited speaker at international conferences and symposia.
Teaching units
- Electronic Devices and Circuits
- Digital System Design
- Microelectronics
Publications
Book Sections
Rieger, R., Taylor, J. and Clarke, C., 2012. Signal processing for velocity selective recording systems using analogue delay lines. In: ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems. IEEE, pp. 2195-2198.
Al-shueli, A., Clarke, C. T. and Taylor, J. T., 2012. Simulated nerve signal generation for multi-electrode cuff system testing. In: Proceedings - 2012 International Conference on Biomedical Engineering and Biotechnology, iCBEB 2012. , pp. 892-896.
Articles
Schuettler, M., Donaldson, N., Seetohul, V. and Taylor, J., 2013. Fibre-selective recording from the peripheral nerves of frogs using a multi-electrode cuff. Journal of Neural Engineering, 10 (3), 036016.
Rieger, R. and Taylor, J., 2013. Forthcoming. A switched-capacitor front-end for velocity-selective ENG recording. IEEE Transactions on Biomedical Circuits and Systems
Taylor, J., Schuettler, M., Clarke, C. T. and Donaldson, N., 2012. The theory of velocity selective neural recording: a study based on simulation. Medical and Biological Engineering and Computing, 50 (3), pp. 309-318.
Graham, A. H. D., Surguy, S. M., Langlois, P., Bowen, C. R., Taylor, J. and Robbins, J., 2012. Modification of standard CMOS technology for cell-based biosensors. Biosensors and Bioelectronics, 31 (1), pp. 458-462.
Regonini, D., Dent, A. C. E., Bowen, C. R., Pennock, S. R. and Taylor, J., 2011. Impedance spectroscopy analysis of TinO2n-1 Magnéli phases. Materials Letters, 65 (23-24), pp. 3590-3592.
Graham, A. H. D., Bowen, C. R., Surguy, S. M., Robbins, J. and Taylor, J., 2011. New prototype assembly methods for biosensor integrated circuits. Medical Engineering & Physics, 33 (8), pp. 973-979.
Taylor, J. and Rieger, R., 2011. A low-noise front-end for multiplexed ENG recording using CMOS technology. Analog Integrated Circuits and Signal Processing, 68 (2), pp. 163-174.
Graham, A. H. D., Robbins, J., Bowen, C. R. and Taylor, J., 2011. Commercialisation of CMOS integrated circuit technology in multi-electrode arrays for neuroscience and cell-based biosensors. Sensors, 11 (5), pp. 4943-4971.
Graham, A. H. D., Bowen, C. R., Robbins, J., Lalev, G., Marken, F. and Taylor, J., 2010. Nanostructured electrodes for biocompatible CMOS integrated circuits. Sensors and Actuators B-Chemical, 147 (2), pp. 697-706.
Hao, S. Y., Taylor, J. T., Bowen, C. R., Gheduzzi, S. and Miles, A. W., 2010. Sensing methodology for in vivo stability evaluation of total hip and knee arthroplasty. Sensors and Actuators A-Physical, 157 (1), pp. 150-160.
Graham, A. H. D., Bowen, C. R., Taylor, J. and Robbins, J., 2009. Neuronal cell biocompatibility and adhesion to modified CMOS electrodes. Biomedical Microdevices, 11 (5), pp. 1091-1101.
Graham, A. H. D., Bowen, C. R., Robbins, J. and Taylor, J., 2009. Formation of a porous alumina electrode as a low-cost CMOS neuronal interface. Sensors and Actuators B-Chemical, 138 (1), pp. 296-303.
Clarke, C. T., Xu, X., Rieger, R., Taylor, J. and Donaldson, N., 2009. An implanted system for multi-site nerve cuff-based ENG recording using velocity selectivity. Analog Integrated Circuits and Signal Processing, 58 (2), pp. 91-104.
Rieger, R. and Taylor, J. T., 2009. An Adaptive Sampling System for Sensor Nodes in Body Area Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 17 (2), pp. 183-189.
Rieger, R. and Taylor, J. T., 2009. Design strategies for multi-channel low-noise recording systems. Analog Integrated Circuits and Signal Processing, 58 (2), pp. 123-133.
Donaldson, N., Rieger, R., Schuettler, M. and Taylor, J., 2008. Noise and selectivity of velocity-selective multi-electrode nerve cuffs. Medical and Biological Engineering and Computing, 46 (10), pp. 1005-1018.
Rieger, R., Schuettler, M., Pal, D., Clarke, C., Langlois, P., Taylor, J. and Donaldson, N., 2006. Very low-noise ENG amplifier system using CMOS technology. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14 (4), pp. 427-437.
Rieger, R., Demosthenous, A. and Taylor, J., 2004. A 230-nW 10-s time constant CMOS inteorrator for an adaptive nerve signal amplifier. IEEE Journal of Solid-State Circuits, 39 (11), pp. 1968-1975.
Demosthenous, A., Taylor, J., Triantis, I. F., Rieger, R. and Donaldson, N., 2004. Design of an adaptive interference reduction system for nerve-cuff electrode recording. IEEE Transactions on Circuits and Systems. Part I: Regular Papers, 51 (4), pp. 629-639.
Rieger, R., Taylor, J., Comi, E., Donaldson, N., Russold, M., Mahony, C. M. O., McLaughlin, J. A., McAdams, E., Demosthenous, A. and Jarvis, J. C., 2004. Experimental determination of compound action potential direction and propagation velocity from multi-electrode nerve cuffs. Medical Engineering & Physics, 26 (6), pp. 531-534.
Taylor, J., Donaldson, N. and Winter, J., 2004. Multiple-electrode nerve cuffs for low-velocity and velocity-selective neural recording. Medical and Biological Engineering and Computing, 42 (5), pp. 634-643.
Rieger, R., Taylor, J., Demosthenous, A., Donaldson, N. and Langlois, P. J., 2003. Design of a low-noise preamplifier for nerve cuff electrode recording. IEEE Journal of Solid-State Circuits, 38 (8), pp. 1373-1379.
Demosthenous, A. and Taylor, J., 2002. A 100 Mb/s, 2.8 V CMOS current-mode analogue Viterbi decoder (invited paper). IEEE Journal of Solid-State Circuits (JSSC), 37 (7), pp. 904-910.
Demosthenous, A. and Taylor, J., 2001. A very high speed BiCMOS replicating current comparator for sue in Viterbi decoders (invited paper). Analog Integrated Circuits and Signal Processing, 27 (1/2), pp. 117-126.
Bugbee, M., Donaldson, N. and Taylor, J., 2001. An implant for chronic selective stimulation of nerves (invited paper). Medical Engineering & Physics, 23, pp. 29-23.
Demosthenous, A. and Taylor, J., 2001. Effects of signal-dependent errors on the performance of switched-current Viterbi decoders. IEEE Transactions on Circuits and Systems I (TCAS I), 48 (10), pp. 1225-1228.
Conference or Workshop Items
Taylor, J., Schuettler, M., Clarke, C. and Donaldson, N., 2011. A summary of the theory of velocity selective neural recording. In: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, 2011-08-30 - 2011-09-03, Boston, MA.
Schuettler, M., Seetohul, V., Rijkhoff, N. J. M., Moeller, F. V., Donaldson, N. and Taylor, J., 2011. Fibre-selective recording from peripheral nerves using a multiple-contact cuff: Report on pilot pig experiments. In: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, 2011-08-30 - 2011-09-03, Boston, MA.
Hao, S., Taylor, J., Miles, A. W. and Bowen, C. R., 2008. An implantable system for the in vivo measurement of Hip and Knee migration and micromotion. In: ICSES 2008 International Conference on Signals and Electronic Systems, ICSES'08, 2008-09-14 - 2008-09-17, Krakow.
Clarke, C. T., Taylor, J. T. and Xu, X., 2008. Analogue/digital interface and communications aspects in a multi-channel ENG recording asic. In: IEEE International Symposium on Circuits and Systems (ISCAS 2008), 2008-05-18 - 2008-05-21, Seattle, WA.
Xu, X. H., Clarke, C. T. and Taylor, J. T., 2008. Multi-site nerve cuff based implantable system for wide bandwidth ENG signal recording. In: 2nd International Conference on Signal Processing and Communication Systems (ICSPCS 2008), 2008-12-15 - 2008-12-17, Gold Coast.
Rieger, R. and Taylor, J., 2007. Design strategies for multi-channel low-noise recording systems. In: Proc 2007 Int Symp Circuits Syst, 2007-01-01, Proc 2007 Int Symp Circuits Syst.
Masanotti, D., Langlois, P. and Taylor, J., 2006. A Method to Model Neuron Activity. In: Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE, 2006-01-01.
Robbins, J., Causa, F., Masanotti, D., Sapelkin, A., Taylor, J. and Langlois, P., 2006. Bio-compatible optical interfaces. In: Proc SPIE Symposium on Optics East, 2006-01-01, Boston.
Schuettler, M., Taylor, J. and Donaldson, N., 2006. Comparing anodal and AC blocking of peripheral nerves by velocity-selective recording with a mult-electrode cuff. In: proc 11th Annual Conference of the International FES Society, 2006-01-01, Zao.
Masanotti, D., Taylor, J. and Langlois, P., 2006. PSPICE models of excitable membranes. In: International Conference on Signals and Electronic Systems, ICSES'06, 2006-09-17 - 2006-09-20, Lodz, 93-350.
Rieger, R., Taylor, J., Clarke, C., Pal, D., Langlois, P. and Donaldson, N., 2005. 10-channel very low-noise ENG amplifier system using CMOS technology. In: IEEE International Symposium on Circuits and Systems (ISCAS 2005), 2005-05-23 - 2005-05-26, Kobe.
Clarke, C., Taylor, J., Rieger, R. and Donaldson, N., 2005. A distributed neural sensor system. In: IEEE International Symposium on Circuits and Systems (ISCAS 2005), 2005-05-23 - 2005-05-26, Kobe.
Taylor, J., Langlois, P. and Demosthenous, A., 2005. Realisation of a simple high-value grounded linear resistance in CMOS technology. In: Proc 2005 European Solid State Circuits, 2005-01-01, Grenoble.
Taylor, J., Pal, D., Langlois, P. and Rieger, R., 2005. Two preamplifiers for non-invasive, on-chip recording of neural signals. In: IEEE International Symposium on Circuits and Systems, 2005-01-01.
Rieger, R., Demosthenous, A. and Taylor, J., 2003. Continuuously tunable, very long time constant CMOS integrator for a neural recording implant. In: Proc 2003 European Solid State Circuits Conference, 2003-01-01.
Triantis, I., Rieger, R., Taylor, J., Demosthenous, A. and Donaldson, N., 2002. A CMOS adaptive interference reduction system for nerve cuff recordings. In: Proc 2002 European Solid State Circuits Conference, 2002-01-01.
Rieger, R., Donaldson, N. and Taylor, J., 2002. Low noise preamplifier design for nerve cuff electrode recording systems. In: Proc 2002 IEEE International Symposium on Circuits and Systems, 2002-01-01.
Winter, J., Rahal, M., Taylor, J. and Donaldson, N., 2002. Velocity-selective recording using multi-electrode nerve cuffs. In: Proc 7th IFESS Conference , 2002, 2002-01-01.
Triantis, I., Rieger, R., Taylor, J. and Donaldson, N., 2001. Adaptive interference reduction in nerve cuff electrode recordings. In: IEEE International Conference on Circuits and Systems (ICECS2001), 2001-01-01.
Demosthenous, A. and Taylor, J., 2001. Effects of analogue ACS implementation errors on the modified feedback decoding algorithm. In: Proc IEEE Int Conference on Circuits and Systems (ICECS2001), 2001-01-01.
Demosthenous, A. and Taylor, J., 2001. Effects of analogue add-compare-select implementation errors on the modified feedback decoding algorithm. In: Proc IEEE Int Conference on Circuits and Systems (ICECS2001, 2001-01-01.
Patent
Graham, Tony, 2012. Biocompatible electrode. US2012091011 (A1), 19 April 2012.
Graham , Anthony, 2011. Biocompatible Electrode. G01N33/487-EP2356448 (A1), 17 August 2011.
Taylor, John, 2009. A Sensor. A61B5/00-WO2009125188 (A1), 15 October 2009.
Other
Taylor, J. and Bowen, C., 2012. Biocompatible CMOS Electrode Array. University of Bath.
