Low-power detection of sternocleidomastoid muscle contraction for asthma assessment and control

Jun Luan, Seung Jae Lee, P. Chou
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引用次数: 3

Abstract

Sternocleidomastoid (SCM) is a paired muscle that stretches along both sides of the neck area. It acts as an accessory muscle of inhalation. Abnormal SCM contraction during asthma is usually a sign of further respiratory impairment. Thus, monitoring SCM muscles has great significance in asthma assessment and control. In this work, we develop a wearable monitoring system based on an optical sensor that consists of an LED and a photo detector (PD). A voltage comparator enables the microcontroller unit (MCU) to remain in sleep mode until waken upon detecting contraction. Experimental results show that our optical sensor consumes much lower power than surface electromyography (sEMG), the most commonly used technique while offering more comfort and compactness. It is also robust to motion artifact and DC baseline wandering. These properties simplify the hardware design, while the use of the comparator further reduces the system power consumption to >450 μW on average, making it the best option for low power monitoring.
低倍率检测胸锁乳突肌收缩对哮喘的评估和控制
胸锁乳突肌(SCM)是一块沿颈部两侧伸展的成对肌肉。它作为吸入的副肌。哮喘期间SCM异常收缩通常是进一步呼吸损害的征兆。因此,监测SCM肌肉对哮喘的评估和控制具有重要意义。在这项工作中,我们开发了一种基于光学传感器的可穿戴监控系统,该传感器由LED和光电探测器(PD)组成。电压比较器使微控制器单元(MCU)保持在睡眠模式,直到检测到收缩被唤醒。实验结果表明,我们的光学传感器比最常用的表面肌电图(sEMG)消耗更低的功率,同时提供更舒适和紧凑。该算法对运动伪影和直流基线漂移也具有鲁棒性。这些特性简化了硬件设计,同时使用比较器进一步将系统功耗平均降低到bbb450 μW,使其成为低功耗监控的最佳选择。
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