Estrada Luis, Torres Abel, Sarlabous Leonardo, Jane Raimon
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:5769-5772. doi: 10.1109/EMBC.2016.7592038.
Wireless sensors are an emerging technology that allows to assist physicians in the monitoring of patients health status. This approach can be used for the non-invasive recording of the electrical respiratory muscle activity of the diaphragm (EMGdi). In this work, we acquired the EMGdi signal of a healthy subject performing an inspiratory load test. To this end, the EMGdi activity was captured from a single channel of electromyography using a wireless platform which was compared with the EMGdi and the inspiratory mouth pressure (Pmouth) recorded with a conventional lab equipment. From the EMGdi signal we were able to evaluate the neural respiratory drive, a biomarker used for assessing the respiratory muscle function. In addition, we evaluated the breathing movement and the cardiac activity, estimating two cardio-respiratory parameters: the respiratory rate and the heart rate. The correlation between the two EMGdi signals and the Pmouth improved with increasing the respiratory load (Pearson's correlation coefficient ranges from 0.33 to 0.85). The neural respiratory drive estimated from both EMGdi signals showed a positive trend with an increase of the inspiratory load and being higher in the conventional EMGdi recording. The respiratory rate comparison between measurements revealed similar values of around 16 breaths per minute. The heart rate comparison showed a root mean error of less than 0.2 beats per minute which increased when incrementing the inspiratory load. In summary, this preliminary work explores the use of wireless devices to record the muscle respiratory activity to derive several physiological parameters. Its use can be an alternative to conventional measuring systems with the advantage of being portable, lightweight, flexible and operating at low energy. This technology can be attractive for medical staff and may have a positive impact in the way healthcare is being delivered.
无线传感器是一种新兴技术，可协助医生监测患者的健康状况。这种方法可用于无创记录膈肌的呼吸肌电活动（EMGdi）。在这项工作中，我们采集了一名健康受试者进行吸气负荷测试时的EMGdi信号。为此，使用无线平台从单通道肌电图中捕获EMGdi活动，并将其与用传统实验室设备记录的EMGdi和吸气口压力（Pmouth）进行比较。从EMGdi信号中，我们能够评估神经呼吸驱动，这是一种用于评估呼吸肌功能的生物标志物。此外，我们评估了呼吸运动和心脏活动，估算了两个心肺参数：呼吸频率和心率。随着呼吸负荷增加，两个EMGdi信号与Pmouth之间的相关性增强（皮尔逊相关系数范围为0.33至0.85）。从两个EMGdi信号估算出的神经呼吸驱动均呈现出随着吸气负荷增加而上升的趋势，且在传统EMGdi记录中更高。测量结果之间的呼吸频率比较显示，数值相似，约为每分钟16次呼吸。心率比较显示，均方根误差小于每分钟0.2次心跳，且随着吸气负荷增加而增大。总之，这项初步工作探索了使用无线设备记录肌肉呼吸活动以获取多个生理参数。其使用可以替代传统测量系统，具有便携、轻便、灵活且低能耗运行的优点。这项技术可能对医务人员具有吸引力，并可能对医疗保健的提供方式产生积极影响。
