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[使用数据记录检查脑植入式麦克风]

Tim Liebscher1, Cynthia Glaubitz2, Anne Hast2

  • 1Hals-Nasen-Ohrenklinik, Kopf- und Halschirurgie, Cochlear-Implant-Centrum CICERO, Uniklinikum Erlangen, FAU Erlangen-Nürnberg, Erlangen, Deutschland. Tim.liebscher@uk-erlangen.de.

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概括
此摘要是机器生成的。

双侧耳植入体 (CI) 系统中的数据记录可以揭示麦克风缺陷. 将两种语音处理器 (SP) 的数据进行比较有助于识别潜在的故障,改善CI后续护理.

关键词:
喉植入物后护理是指喉植入物后护理质量控制 质量控制场景的分类 场景的分类声音处理器的声音处理器.语音处理器的语言处理器.

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科学领域:

  • 听力学 听力学是指听力学.
  • 生物医学工程 生物医学工程
  • 医疗器械技术 医疗器械技术

背景情况:

  • 耳植入器 (CI) 后期护理涉及对语音处理器 (SP) 的技术检查.
  • 麦克风的功能至关重要,可以通过监听或软件检查进行评估.
  • 现代CI中的数据日志记录使用时间和听环境,提供新的诊断潜力.

研究的目的:

  • 为了比较双边CI用户的数据日志记录条目.
  • 通过分析语音处理器 (SP) 数据来识别潜在的麦克风故障.

主要方法:

  • 对359个双边CI用户 (Cochlear Nucleus 6或更高版本) 的数据日志记录条目进行了回顾性分析.
  • 左侧和右侧SP之间的听力场景持续时间的比较 (安静,安静中的语音,噪音中的语音,噪音,音乐).
  • 在可比IC使用的听力场景中,偏差>15%被认为是明显的.

主要成果:

  • 在718个SP中,有9个SP被评为显眼.
  • 在配对的SP之间检测到在安静的听力环境中存在显著差异 (高达54%) .
  • 一个SP在100%的时间内完全识别了安静的场景.

结论:

  • 数据记录信息有助于检测CI中的潜在麦克风缺陷.
  • 这些数据在CI安装过程中已经可访问,从而促进集成.
  • 建议将数据日志分析常规集成到CI技术检查中.