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Faster automatic ASSR detection using sequential tests

Faster automatic ASSR detection using sequential tests
Faster automatic ASSR detection using sequential tests
Objective: Objective Response Detection (ORD) can be used for auditory steady-state response (ASSR) detection. In conventional ORD methods, the statistical tests are applied at the end of data collection (‘single-shot tests’). In sequential ORD methods, statistical tests are applied repeatedly, while data is being collected. However, repeated testing can increase False Positive (FP) rates. One solution is to infer that response is present only after the test remains significant for a predefined number of consecutive detections (NCD). Thus, this paper describes a new method for finding the required NCD that control the FP rate for ASSR detection. Design: NCD values are estimated using Monte Carlo simulations. Study sample: ASSR signals were recorded from 8 normal-hearing subjects. Results: The exam time was reduced by up to 38.9% compared to the single-shot test with loss of approximately 5% in detection rate. Alternatively, lower gains in time were achieved for a smaller (non-significant) loss in detection rate. The FP rates at the end of the test were kept at the nominal level expected (1%). Conclusion: The sequential test strategy with NCD as the stopping criterion can improve the speed of ASSR detection and prevent higher than expected FP rates.
Auditory Steady-State Response, Objective Response Detection, Sequential Testing, Stopping Criteria
1499-2027
Zanotelli, Tiago
8816065a-185d-4c0b-90a6-a814632e525c
Antunes, Felipe
b5036ec5-1fb2-412c-89fc-5b9d23475a81
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Mendesa, Eduardo Mazoni Andrade Marcal
316aa5a6-6695-492b-96f7-f075ee303a2b
Bonato Felix, Leonardo
e5f4866b-61d3-4442-90de-9b3cd17f528f
Zanotelli, Tiago
8816065a-185d-4c0b-90a6-a814632e525c
Antunes, Felipe
b5036ec5-1fb2-412c-89fc-5b9d23475a81
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Mendesa, Eduardo Mazoni Andrade Marcal
316aa5a6-6695-492b-96f7-f075ee303a2b
Bonato Felix, Leonardo
e5f4866b-61d3-4442-90de-9b3cd17f528f

Zanotelli, Tiago, Antunes, Felipe, Simpson, David, Mendesa, Eduardo Mazoni Andrade Marcal and Bonato Felix, Leonardo (2020) Faster automatic ASSR detection using sequential tests. International Journal of Audiology. (doi:10.1080/14992027.2020.1728402).

Record type: Article

Abstract

Objective: Objective Response Detection (ORD) can be used for auditory steady-state response (ASSR) detection. In conventional ORD methods, the statistical tests are applied at the end of data collection (‘single-shot tests’). In sequential ORD methods, statistical tests are applied repeatedly, while data is being collected. However, repeated testing can increase False Positive (FP) rates. One solution is to infer that response is present only after the test remains significant for a predefined number of consecutive detections (NCD). Thus, this paper describes a new method for finding the required NCD that control the FP rate for ASSR detection. Design: NCD values are estimated using Monte Carlo simulations. Study sample: ASSR signals were recorded from 8 normal-hearing subjects. Results: The exam time was reduced by up to 38.9% compared to the single-shot test with loss of approximately 5% in detection rate. Alternatively, lower gains in time were achieved for a smaller (non-significant) loss in detection rate. The FP rates at the end of the test were kept at the nominal level expected (1%). Conclusion: The sequential test strategy with NCD as the stopping criterion can improve the speed of ASSR detection and prevent higher than expected FP rates.

Text
Zanotelli - 2020 - Final copy - Accepted Manuscript
Restricted to Repository staff only until 24 February 2021.
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More information

Accepted/In Press date: 6 February 2020
e-pub ahead of print date: 24 February 2020
Keywords: Auditory Steady-State Response, Objective Response Detection, Sequential Testing, Stopping Criteria

Identifiers

Local EPrints ID: 438657
URI: http://eprints.soton.ac.uk/id/eprint/438657
ISSN: 1499-2027
PURE UUID: ecbd79a2-fca1-451d-81b0-03011894c67a

Catalogue record

Date deposited: 20 Mar 2020 17:30
Last modified: 18 May 2020 16:50

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