Department of Otolaryngology/Head & Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
School of Biomedical Engineering, Western University, London, Ontario, Canada.
Laryngoscope. 2023 Dec;133(12):3540-3547. doi: 10.1002/lary.30710. Epub 2023 Apr 20.
Comparison of acute speech recognition for cochlear implant (CI) alone and electric-acoustic stimulation (EAS) users listening with default maps or place-based maps using either a spiral ganglion (SG) or a new Synchrotron Radiation-Artificial Intelligence (SR-AI) frequency-to-place function.
Thirteen adult CI-alone or EAS users completed a task of speech recognition at initial device activation with maps that differed in the electric filter frequency assignments. The three map conditions were: (1) maps with the default filter settings (default map), (2) place-based maps with filters aligned to cochlear SG tonotopicity using the SG function (SG place-based map), and (3) place-based maps with filters aligned to cochlear Organ of Corti (OC) tonotopicity using the SR-AI function (SR-AI place-based map). Speech recognition was evaluated using a vowel recognition task. Performance was scored as the percent correct for formant 1 recognition due to the rationale that the maps would deviate the most in the estimated cochlear place frequency for low frequencies.
On average, participants had better performance with the OC SR-AI place-based map as compared to the SG place-based map and the default map. A larger performance benefit was observed for EAS users than for CI-alone users.
These pilot data suggest that EAS and CI-alone users may experience better performance with a patient-centered mapping approach that accounts for the variability in cochlear morphology (OC SR-AI frequency-to-place function) in the individualization of the electric filter frequencies (place-based mapping procedure).
3 Laryngoscope, 133:3540-3547, 2023.
比较单独使用人工耳蜗（CI）和电-声刺激（EAS）的患者在使用默认图谱或基于位置图谱时，使用螺旋神经节（SG）或新的同步辐射-人工智能（SR-AI）频率到位置函数，分别对急性语音识别的影响。
13 名成年 CI 单独或 EAS 用户在设备初始激活时，使用电滤波器频率分配不同的图谱完成语音识别任务。三种图谱条件为：（1）具有默认滤波器设置的图谱（默认图谱），（2）使用 SG 函数将滤波器与 SG 音调对应性匹配的基于位置图谱（SG 基于位置图谱），（3）使用 SR-AI 函数将滤波器与耳蜗 OC 音调对应性匹配的基于位置图谱（SR-AI 基于位置图谱）。语音识别使用元音识别任务进行评估。性能以第一共振峰识别的正确百分比计分，因为图谱在估计的耳蜗位置频率中低频的偏差最大。
平均而言，与 SG 基于位置图谱和默认图谱相比，参与者在 OC SR-AI 基于位置图谱上的表现更好。EAS 用户比 CI 单独用户观察到更大的性能获益。
这些初步数据表明，EAS 和 CI 单独用户可能会从基于患者的映射方法中获得更好的性能，该方法考虑了个体耳蜗形态的变异性（OC SR-AI 频率到位置函数），从而对电滤波器频率进行个体化（基于位置的映射程序）。
3 Laryngoscope, 133:3540-3547, 2023.
