CAJ | 학술논문

本系统基于数字呼吸感应体积描记技术(RIP)和人体传感网络(BSN)开发平台,将织物传感器整合到衣物中,设计了穿戴式的睡眠呼吸监测系统,可以实现实时胸、腹呼吸监测.系统中的信号处理算法可以对信号质量进行评估,并提取出动态呼吸率和运动等信息.通过对10位测试者进行整夜的睡眠呼吸监测实验,并且和Biopac生理记录仪的结果进行对比分析,证明了本系统测量准确、工作稳定.由于其成本低,未来可以应用于家庭中进行睡眠呼吸疾病的监测.
본계통기우수자호흡감응체적묘기기술(RIP)화인체전감망락(BSN)개발평태,장직물전감기정합도의물중,설계료천대식적수면호흡감측계통,가이실현실시흉、복호흡감측.계통중적신호처리산법가이대신호질량진행평고,병제취출동태호흡솔화운동등신식.통과대10위측시자진행정야적수면호흡감측실험,병차화Biopac생리기록의적결과진행대비분석,증명료본계통측량준학、공작은정.유우기성본저,미래가이응용우가정중진행수면호흡질병적감측.
This paper presents a wearable device for continuous monitoring of respiratory signal. The system took advantages of a proven respiratory inductive plethysmograph(RIP)technology and a wireless body sensor networks(BSN)development platform. The textile RIP sensor was integrated into a suit and comfortably worn around thorax or abdomen for monitoring respiration during sleep. An intelligent signal processing algorithm was implemented for extracting the dynamic respiration and motion information. In-situ experiments from ten healthy subjects suggested that this system worked as intended and measured accurately. Due to the high reliability and low cost of this system it is believed to meet the future demands on home-based monitoring for diagnosis of sleep disorder related diseases.