An iOS-based VoiceScreen application: feasibility for use in clinical settings-a pilot study.
An iOS-based VoiceScreen application: feasibility for use in clinical settings-a pilot study.
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DOI：
10.1007/s00405-022-07546-w
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发表时间：
2023-01
影响因子：
2.6
通讯作者：
Petrauskas, Tadas
中科院分区：
文献类型：
--
作者：
Uloza, Virgilijus;Ulozaite-Staniene, Nora;Petrauskas, Tadas
阐述适合智能手机的语音质量指数（AVQI）评估应用程序，并评估其在临床环境中的可用性。详细阐述了AVQI自动化和背景噪声监测功能，并将其应用于运行iOS操作系统的移动应用“VoiceScreen”中。研究组由103名正常声音的成年人（n = 30）和73名病理性声音的患者组成。在临床环境下使用“VoiceScreen”应用程序使用iPhone 8麦克风进行录音。记录30例患者在声外科干预前及干预后1个月的声音。为了评价正常声音和病理声音的诊断准确性，采用了接受者操作特征统计，即曲线下面积（AUC）、敏感性和特异性、正确分类率（CCR）。AVQI在区分正常和不正常语音方面具有较高的精度，对应的AUC = 0.937。AVQI截止评分为3.4，敏感性为86.3%，特异性为95.6%，CCR为89.2%。术后随访组AVQI均值术前为6.01(SD 2.39)，降至2.00 （SD 1.08）。正常嗓音AVQI测量值与声外科术后随访1个月比较无统计学差异（p = 0.216）。“VoiceScreen”应用程序代表了一种准确而强大的语音质量测量工具，并展示了在临床环境中作为声外科治疗结果中声音变化的敏感测量方法的潜力。在线版本包含补充材料，可在10.1007/s00405- 022-075446 -w获得。
To elaborate the application suitable for smartphones for estimation of Acoustic Voice Quality Index (AVQI) and evaluate its usability in the clinical setting. An elaborated AVQI automatization and background noise monitoring functions were implemented into a mobile “VoiceScreen” application running the iOS operating system. A study group consisted of 103 adult individuals with normal voices (n = 30) and 73 patients with pathological voices. Voice recordings were performed in the clinical setting with “VoiceScreen” app using iPhone 8 microphones. Voices of 30 patients were recorded before and 1 month after phonosurgical intervention. To evaluate the diagnostic accuracy differentiating normal and pathological voice, the receiver-operating characteristic statistics, i.e., area under the curve (AUC), sensitivity and specificity, and correct classification rate (CCR) were used. A high level of precision of AVQI in discriminating between normal and dysphonic voices was yielded with corresponding AUC = 0.937. The AVQI cutoff score of 3.4 demonstrated a sensitivity of 86.3% and specificity of 95.6% with a CCR of 89.2%. The preoperative mean value of the AVQI [6.01(SD 2.39)] in the post-phonosurgical follow-up group decreased to 2.00 (SD 1.08). No statistically significant differences (p = 0.216) between AVQI measurements in a normal voice and 1-month follow-up after phonosurgery groups were revealed. The “VoiceScreen” app represents an accurate and robust tool for voice quality measurement and demonstrates the potential to be used in clinical settings as a sensitive measure of voice changes across phonosurgical treatment outcomes. The online version contains supplementary material available at 10.1007/s00405-022-07546-w.
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