CAJ | 학술논문

使用PVDF传感器采集人体生理信号，提出了基于CSI的生理信号处理算法，通过算法处理得到心率、呼吸率、体动以及呼吸暂停等参数。本文还设计了云服务器端对人体生理参数进行接收、存储和处理，根据采集到的生理参数本文选用了PNQ量表对睡眠质量进行分析，同时本文还设计了手机端软件将睡眠者的睡眠质量显示给用户。系统测试结果显示算法处理得到的心率/呼吸率与受试者实际的心率/呼吸率基本吻合，并且与穿戴式设备相比，该系统表现出较高性能。
사용PVDF전감기채집인체생리신호，제출료기우CSI적생리신호처리산법，통과산법처리득도심솔、호흡솔、체동이급호흡잠정등삼수。본문환설계료운복무기단대인체생리삼수진행접수、존저화처리，근거채집도적생리삼수본문선용료PNQ량표대수면질량진행분석，동시본문환설계료수궤단연건장수면자적수면질량현시급용호。계통측시결과현시산법처리득도적심솔/호흡솔여수시자실제적심솔/호흡솔기본문합，병차여천대식설비상비，해계통표현출교고성능。
The article uses PVDF sensors to collect physiological signals and proposes the physiological signal processing algorithm based on CSI to get the heart rate, the respiration rate, the body movement and the sleep apnea. The paper also designs a cloud server for receiving, storing and processing the parameters, and selects PNQ questionnaire to evaluate the sleep quality of the sleepers. The design of the app is used to show user's sleep quality. System test shows that the heart rate and the respiration rate which are monitored by the system are consistent with the actual ones. And the system shows excellent performance comparing with the wearable device.