Self‐Powered Pulse Sensor for Antidiastole of Cardiovascular Disease,Advanced Materials

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Self‐Powered Pulse Sensor for Antidiastole of Cardiovascular Disease
Advanced Materials ( IF 27.4 ) Pub Date : 2017-09-01 , DOI: 10.1002/adma.201703456
Han Ouyang _{1,

2,

3} , Jingjing Tian _{1,

2,

3} , Guanglong Sun ₄ , Yang Zou _{1,

2,

3} , Zhuo Liu _{1,

5} , Hu Li _{1,

5} , Luming Zhao _{1,

2,

3} , Bojing Shi _{1,

2,

3} , Yubo Fan ₅ , Yifan Fan ₆ , Zhong Lin Wang _{1,

2,

7} , Zhou Li _{1,

2}

Affiliation

Cardiovascular diseases are the leading cause of death globally; fortunately, 90% of cardiovascular diseases are preventable by long‐term monitoring of physiological signals. Stable, ultralow power consumption, and high‐sensitivity sensors are significant for miniaturized wearable physiological signal monitoring systems. Here, this study proposes a flexible self‐powered ultrasensitive pulse sensor (SUPS) based on triboelectric active sensor with excellent output performance (1.52 V), high peak signal‐noise ratio (45 dB), long‐term performance (10⁷ cycles), and low cost price. Attributed to the crucial features of acquiring easy‐processed pulse waveform, which is consistent with second derivative of signal from conventional pulse sensor, SUPS can be integrated with a bluetooth chip to provide accurate, wireless, and real‐time monitoring of pulse signals of cardiovascular system on a smart phone/PC. Antidiastole of coronary heart disease, atrial septal defect, and atrial fibrillation are made, and the arrhythmia (atrial fibrillation) is indicative diagnosed from health, by characteristic exponent analysis of pulse signals accessed from volunteer patients. This SUPS is expected to be applied in self‐powered, wearable intelligent mobile diagnosis of cardiovascular disease in the future.

中文翻译：

自供电脉搏传感器，用于心血管疾病的舒张期

心血管疾病是全球范围内主要的死亡原因；幸运的是，通过长期监测生理信号可以预防90％的心血管疾病。稳定，超低功耗和高灵敏度的传感器对于微型可穿戴生理信号监测系统至关重要。在此，本研究提出了一种基于摩擦式有源传感器的灵活的自供电超灵敏脉冲传感器（SUPS），该传感器具有出色的输出性能（1.52 V），高峰值信噪比（45 dB），长期性能（10 ⁷周期）和低成本的价格。SUPS具有获取易于处理的脉搏波形的关键特征，这与常规脉搏传感器的信号的二阶导数一致，因此可以与蓝牙芯片集成以提供准确，无线和实时的心血管脉搏信号监测智能手机/ PC上的系统。进行了冠心病，房间隔缺损和房颤的抗舒张，通过从志愿者患者获得的脉搏信号的特征指数分析，可以从健康状况判断出心律失常（房颤）。该SUPS有望在将来用于心血管疾病的自供电，可穿戴智能移动诊断中。

更新日期：2017-09-01

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