优化顺序测试策略用于听觉稳定状态响应,使用蒙特卡洛模拟进行高效的音调听力测量
João Victor Dias Galdino1, Marllon Dayvid Fernandes Lima1, Tiago Zanotelli2
1Department of Electrical Engineering, Federal Institute of Education Science and Technology of Minas Gerais - Ipatinga Campus, Ipatinga, MG, Brazil.
Computer methods in biomechanics and biomedical engineering
|February 9, 2026
概括
这项研究优化了听觉稳定状态响应检测,用于使用顺序测试进行自动音调听力测试. 基于模拟的方法有效地减少了测试时间,同时保持了准确的听力检测,并与真实EEG数据验证.
科学领域:
- 听觉神经科学 听觉神经科学
- 信号处理 信号处理
- 医学诊断 医学诊断 医学诊断
背景情况:
- 自动音调听力测试旨在简化听力评估.
- 审计稳定状态响应 (ASSR) 对于客观的听力评估至关重要.
- 顺序测试策略可以提高诊断程序的效率.
研究的目的:
- 研究和优化使用听觉稳定状态响应进行自动音调听力测试的顺序测试策略.
- 尽量减少平均检查时间,同时保持ASSR的高检测能力.
- 根据真实电脑电图 (EEG) 数据验证基于模拟的优化参数.
主要方法:
- 蒙特卡洛模拟用于优化顺序测试策略的参数.
- 优化重点是平衡检查时间和检测概率与信号噪声比 (SNR).
- 模拟的最佳参数与从真实EEG数据中获得的结果进行了比较.
主要成果:
- 基于模拟的优化成功识别了参数,以最大限度地减少ASSR检测的平均检查时间.
- 优化的策略在各种信号噪声比率中保持了强大的检测能力.
- 模拟的最佳设置与来自真实EEG数据的参数密切一致,证实了该方法的有效性.
- 在真实数据分析中,对于小时段大小而言,发现了轻微的差异.
结论:
- 基于模拟的优化是一种有效的方法,用于在自动音调听力测试中开发高效的顺序测试策略.
- 经过验证的方法可以显著减少听觉稳定状态响应检测的检查时间.
- 这种方法有望提高客观听力评估的速度和效率.
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