基于图案化柔性织物电极的非接触式 多体位睡眠心电监测系统
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TH776

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宁波市科技创新 2025 重大专项( 2018B10073, 2019B10034,2020Z082)、浙江省自然基金青年基金( LQ19F030002,LQ20F030003)、宁波市自然科学基金 (2019A610089)项目资助


A non-contact multi-positional sleeping ECG monitoring system based on patterned flexible fabric electrodes
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    摘要:

    现有非接触式睡眠心电监测技术对于人体多体位的心电信号有效获取存在一定局限性。 本研究设计了一种隔着衣服 与床单能够获取人体多体位睡眠心电信号的监测系统。 采用柔性导电织物作为电极材料,将心电采集电极制成拱门型状,利用 电容耦合感应变化电场,把心电信号从人体耦合至织物电极。 采用 10 GΩ 的高阻值电阻作为偏置电阻,结合高输入阻抗的仪 表放大器对信号进行差分处理。 使用数字滤波技术去除心电信号中的噪声,运用状态机逻辑算法自动提取心电信号的波形特 征。 通过人体试验对比分析了本系统与条状型非接触式电极以及接触式心电采集系统获取的心电信号质量。 结果表明,该系 统在非皮肤接触条件下可以获取良好的睡眠心电信号,R 波检出率在 95% 以上。

    Abstract:

    Current non-contact sleeping electrocardiogram (ECG) monitoring technology has a limitation when used to effectively acquire the multi-positional human ECG signals. This study developed a type of ECG monitoring system that can measure sleeping ECG signals under multi-positional conditions through clothes and bed sheets. A flexible conductive fabric is used as the electrode material. The shape of ECG electrode is similar as an arched door. The variation of electrical field is sensed by capacitive coupling. The ECG signals are coupled from human body to the fabric electrodes. Combined with a large resistance of 10 GΩ as a bias resistor, an instrumentation amplifier with high input impedance is used for differential signal processing. A digital filtering technology is used to remove the noise in the raw ECG signals, while the finite state machine (FSM) logic algorithm is applied to extract the features of ECG signals. The ECG signals detected from human subjects experimentally by the proposed system are compared with those detected by the strip-type noncontact ECG electrodes as well as traditional contact ECG acquisition system. Experiment results show that this system can obtain decent sleeping ECG signals under non-contact conditions, and the detection rate of R wave of ECG signal is over 95% .

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冯宝亮,史斌君,左国坤,吴志生,施长城.基于图案化柔性织物电极的非接触式 多体位睡眠心电监测系统[J].仪器仪表学报,2021,(7):126-134

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  • 在线发布日期: 2023-06-28
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