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Combining objective response detectors using genetic programming

Combining objective response detectors using genetic programming
Combining objective response detectors using genetic programming
Many Objective Response Detectors (ORD) have been proposed based on ratios extracted from statistical methods. This work proposes a new approach to automatically generate ORD techniques, based on the combination of the ex-isting ones by genetic programming. In this first study of this kind, the best ORD functions obtained with this approach were about 4% more sensitive than the best original ORD. It is concluded that genetic programming applied to create ORD functions has a potential to find non-obvious functions with better performances than established alternatives
Evoked responses, Genetic programming, Objective Response Detection
1680-0737
83-92
Springer
Bonato Felix, Leonardo
e5f4866b-61d3-4442-90de-9b3cd17f528f
Bezerra Soares, Quenaz
7f43ba03-7152-4aa7-b5ed-c96df31bbab4
Miranda de Sá, Antonio M.F.L.
44796fc4-054d-486b-b515-8f43dd70f36f
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Henriques, Jorge
Neves, Nuno
de Carvalho, Paulo
Bonato Felix, Leonardo
e5f4866b-61d3-4442-90de-9b3cd17f528f
Bezerra Soares, Quenaz
7f43ba03-7152-4aa7-b5ed-c96df31bbab4
Miranda de Sá, Antonio M.F.L.
44796fc4-054d-486b-b515-8f43dd70f36f
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Henriques, Jorge
Neves, Nuno
de Carvalho, Paulo

Bonato Felix, Leonardo, Bezerra Soares, Quenaz, Miranda de Sá, Antonio M.F.L. and Simpson, David (2020) Combining objective response detectors using genetic programming. Henriques, Jorge, Neves, Nuno and de Carvalho, Paulo (eds.) In XV Mediterranean Conference on Medical and Biological Engineering and Computing : MEDICON 2019. vol. 76, Springer. pp. 83-92 . (doi:10.1007/978-3-030-31635-8_10).

Record type: Conference or Workshop Item (Paper)

Abstract

Many Objective Response Detectors (ORD) have been proposed based on ratios extracted from statistical methods. This work proposes a new approach to automatically generate ORD techniques, based on the combination of the ex-isting ones by genetic programming. In this first study of this kind, the best ORD functions obtained with this approach were about 4% more sensitive than the best original ORD. It is concluded that genetic programming applied to create ORD functions has a potential to find non-obvious functions with better performances than established alternatives

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e-pub ahead of print date: 25 September 2019
Published date: 1 January 2020
Venue - Dates: MEDICON 2019: 15th Mediterranean Conference on Medical and Biological Engineering and Computing, Portugal, 2019-09-26 - 2019-09-28
Keywords: Evoked responses, Genetic programming, Objective Response Detection

Identifiers

Local EPrints ID: 437818
URI: http://eprints.soton.ac.uk/id/eprint/437818
ISSN: 1680-0737
PURE UUID: 6294e310-98ce-453b-8407-a438b1435f00

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Date deposited: 19 Feb 2020 17:31
Last modified: 25 Nov 2021 23:00

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Contributors

Author: Leonardo Bonato Felix
Author: Quenaz Bezerra Soares
Author: Antonio M.F.L. Miranda de Sá
Author: David Simpson
Editor: Jorge Henriques
Editor: Nuno Neves
Editor: Paulo de Carvalho

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