Objective Study of Sensor Relevance for Automatic Cough Detection
Objective Study of Sensor Relevance for Automatic Cough Detection
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DOI：
10.1109/jbhi.2013.2239303
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发表时间：
2013-05-01
影响因子：
7.7
通讯作者：
Dutoit, Thierry
中科院分区：
文献类型：
--
作者：
Drugman, Thomas;Urbain, Jerome;Dutoit, Thierry
多年来，医学文献强调了开发一种自动、客观和可靠地检测咳嗽事件的系统。这种工具的好处是显而易见的，因为它可以评估慢性咳嗽疾病的病理严重程度。尽管一些方法最近报告了实现这一任务的解决方案并取得了相对成功，但关于采用的方法或使用的传感器仍然没有标准化。本文的目的是客观地研究用于咳嗽检测的几种传感器的性能：心电、热敏电阻、胸带、加速度计、接触式和音频麦克风。实验是在32名健康受试者的数据库上进行的，这些受试者在受限的房间和三种情况下产生不同音量的自愿咳嗽以及可能导致一些检测错误的其他事件类别：背景噪声、强迫呼气、清喉、语音和笑声。每个传感器的相关性在三个阶段进行评估：特征所传达的互信息、在帧级别上区分咳嗽和这些其他歧义来源的能力、以及检测咳嗽事件的能力。在后者的实验中，该方法的平均灵敏度和特异度均约为94.5%，明显优于商业Karmelsonix系统，后者的特异度为95.3%，灵敏度为64.9%。
The development of a system for the automatic, objective, and reliable detection of cough events is a need underlined by the medical literature for years. The benefit of such a tool is clear as it would allow the assessment of pathology severity in chronic cough diseases. Even though some approaches have recently reported solutions achieving this task with a relative success, there is still no standardization about the method to adopt or the sensors to use. The goal of this paper is to study objectively the performance of several sensors for cough detection: ECG, thermistor, chest belt, accelerometer, contact, and audio microphones. Experiments are carried out on a database of 32 healthy subjects producing, in a confined room and in three situations, voluntary cough at various volumes as well as other event categories which can possibly lead to some detection errors: background noise, forced expiration, throat clearing, speech, and laugh. The relevance of each sensor is evaluated at three stages: mutual information conveyed by the features, ability to discriminate at the frame level cough from these latter other sources of ambiguity, and ability to detect cough events. In this latter experiment, with both an averaged sensitivity and specificity of about 94.5%, the proposed approach is shown to clearly outperform the commercial Karmelsonix system which achieved a specificity of 95.3% and a sensitivity of 64.9%.