加速度计
可穿戴计算机
语音分析
计算机科学
远程病人监护
接口(物质)
语音识别
移动设备
持续监测
可穿戴技术
实时计算
人机交互
工程类
嵌入式系统
医学
操作系统
放射科
最大气泡压力法
气泡
并行计算
运营管理
作者
Daryush D. Mehta,Matías Zañartu,Shengran W. Feng,Harold A. Cheyne,Robert E. Hillman
出处
期刊:IEEE Transactions on Biomedical Engineering
[Institute of Electrical and Electronics Engineers]
日期:2012-08-02
卷期号:59 (11): 3090-3096
被引量:186
标识
DOI:10.1109/tbme.2012.2207896
摘要
Many common voice disorders are chronic or recurring conditions that are likely to result from faulty and/or abusive patterns of vocal behavior, referred to generically as vocal hyperfunction. An ongoing goal in clinical voice assessment is the development and use of noninvasively derived measures to quantify and track the daily status of vocal hyperfunction so that the diagnosis and treatment of such behaviorally based voice disorders can be improved. This paper reports on the development of a new, versatile, and cost-effective clinical tool for mobile voice monitoring that acquires the high-bandwidth signal from an accelerometer sensor placed on the neck skin above the collarbone. Using a smartphone as the data acquisition platform, the prototype device provides a user-friendly interface for voice use monitoring, daily sensor calibration, and periodic alert capabilities. Pilot data are reported from three vocally normal speakers and three subjects with voice disorders to demonstrate the potential of the device to yield standard measures of fundamental frequency and sound pressure level and model-based glottal airflow properties. The smartphone-based platform enables future clinical studies for the identification of the best set of measures for differentiating between normal and hyperfunctional patterns of voice use.
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