Arlotto Philippe, Grimaldi Michel, Naeck Roomila, Ginoux Jean-Marc
Laboratoire PROTEE EA3819, Université de Toulon, Avenue de l'Université, BP 20132, La Garde Cedex, France.
Clinical Research Unit, Centre Hospitalier Intercommunal de Toulon La Seyne. 54, rue Henri Sainte Claire Deville, BP 1412, 83056, Toulon Cedex, France.
Sensors (Basel). 2014 Aug 20;14(8):15371-86. doi: 10.3390/s140815371.
The monitoring of human breathing activity during a long period has multiple fundamental applications in medicine. In breathing sleep disorders such as apnea, the diagnosis is based on events during which the person stops breathing for several periods during sleep. In polysomnography, the standard for sleep disordered breathing analysis, chest movement and airflow are used to monitor the respiratory activity. However, this method has serious drawbacks. Indeed, as the subject should sleep overnight in a laboratory and because of sensors being in direct contact with him, artifacts modifying sleep quality are often observed. This work investigates an analysis of the viability of an ultrasonic device to quantify the breathing activity, without contact and without any perception by the subject. Based on a low power ultrasonic active source and transducer, the device measures the frequency shift produced by the velocity difference between the exhaled air flow and the ambient environment, i.e., the Doppler effect. After acquisition and digitization, a specific signal processing is applied to separate the effects of breath from those due to subject movements from the Doppler signal. The distance between the source and the sensor, about 50 cm, and the use of ultrasound frequency well above audible frequencies, 40 kHz, allow monitoring the breathing activity without any perception by the subject, and therefore without any modification of the sleep quality which is very important for sleep disorders diagnostic applications. This work is patented (patent pending 2013-7-31 number FR.13/57569).
长时间监测人体呼吸活动在医学领域有多种基础应用。在诸如呼吸暂停等睡眠呼吸障碍中,诊断基于个体在睡眠期间多次停止呼吸的事件。在多导睡眠图(睡眠呼吸障碍分析的标准方法)中,胸部运动和气流被用于监测呼吸活动。然而,这种方法存在严重缺陷。实际上,由于受试者需在实验室过夜,且传感器与他直接接触,常观察到会改变睡眠质量的伪影。本研究探讨了一种超声设备量化呼吸活动的可行性分析,该设备无需接触且受试者无法感知。基于低功率超声有源声源和换能器,该设备测量呼出气流与周围环境之间速度差所产生的频率偏移,即多普勒效应。采集并数字化后,应用特定的信号处理从多普勒信号中分离出呼吸效应与受试者运动产生的效应。声源与传感器之间约50厘米的距离,以及使用远高于可听频率(40千赫兹)的超声频率,使得能够在受试者无感知的情况下监测呼吸活动,进而不会对睡眠质量产生任何影响,这对于睡眠障碍诊断应用非常重要。本研究已申请专利(专利申请号2013 - 7 - 31,FR.13/57569)。