UNASSIGNED:通过分析大数据以定义特定于阵列的舒适度(C)级配置文件,告知和优化人工耳蜗(CI)拟合软件设计,常用的MAP参数,和最小数量的神经反应遥测阈值(tNRT)需要创建一个准确的配置文件。评估AutoNRT®软件的易用性和完成时间。
UNASSIGNED:映射分析。临床研究评估软件在创建MAP中的使用,解决音质问题并设定患者目标。
未经批准:MAP(N=39,885);CI接受者(N=47)和临床医生(N=19)。
未经评估:观察到侧壁的C级剖面,轮廓,和细长的modiolar电极阵列。默认设置用于大多数MAP参数(13/16),脉冲宽度除外,Rate,和Maxima。精确的C水平曲线需要9次tNRT测量。通过新算法的九个tNRT的测量时间与使用先前算法的五个tNRT相当。几乎所有(99%)的临床任务都是由临床医生首次使用该软件完成的。大多数CI接受者(79.5%)认为目标设定有价值。
UNASSIGNED:基于大数据分析开发的CustomSoundPro拟合软件结合了指导拟合工作流程和预期的拟合范围。它有助于提高临床效率,易于使用,并支持以患者为中心的护理。
UNASSIGNED: To inform and optimise a cochlear implant (CI) fitting software design through an analysis of big data to define array-specific comfort (C) level profiles, frequently-used MAP parameters, and the minimum number of Neural Response Telemetry thresholds (tNRT) needed to create an accurate profile. To evaluate the software\'s ease of use and completion time for AutoNRT®s.
UNASSIGNED: MAPs analysis. Clinical study evaluating software use in creating MAPs, addressing sound-quality issues and setting patient goals.
UNASSIGNED: MAPs (N = 39,885); CI recipients (N = 47) and clinicians (N = 19).
UNASSIGNED: Distinct C-level profiles were observed for lateral-wall, contour, and slim-modiolar electrode arrays. Default settings were used for most MAP parameters (13/16) except for Pulse Width, Rate, and Maxima. Nine tNRT measurements were required for an accurate C-level profile. Measurement-time of nine tNRTs via the new algorithm was comparable to five tNRTs using the previous algorithm. Nearly all (99%) clinical tasks were completed by clinicians with the first use of the software. Most CI recipients (79.5%) rated goal-setting as valuable.
UNASSIGNED: Custom Sound Pro fitting software developed based on big data analysis incorporates a guided fitting workflow and expected fitting ranges. It helps to improve clinical efficiency, is easy to use and supports patient-centred care.