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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Bath

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Article title

Noise and selectivity of velocity-selective multi-electrode nerve cuffs

Type
D - Journal article
Title of journal
Medical and Biological Engineering and Computing
Article number
-
Volume number
46
Issue number
10
First page of article
1005
ISSN of journal
0140-0118
Year of publication
2008
Number of additional authors
3
Additional information

This paper is one of a series from a major international collaboration led by Taylor. It presents the first practical method to improve the quality of chronic electroneurogram recordings using velocity selective recording to maximize available information capture, thereby improving the effectiveness of artificial devices for, e.g., gait and hand-grasp restoration. The work led to leadership of a new international collaboration to develop the ideas involving UCL, Cambridge and Aalborg (Denmark) and to two invited presentations at international conferences (World Congress on Medical Physics, 2009 and the IEEE Annual International Conference of the Engineering in Medicine and Biology Society, 2011).

Interdisciplinary
-
Cross-referral requested
-
Research group
A - Advanced Sensor Technologies
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-