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Human Physiological Signals Sensors And Acoustoelectric Conversion Devices Based On Triboelectric

Posted on:2017-07-28Degree:MasterType:Thesis
Country:ChinaCandidate:F CaiFull Text:PDF
GTID:2348330488477835Subject:Optical Engineering
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Flexible sensors have attracted more and more attention as a fundamental part of anthropomorphic robot research, medical diagnosis, physical health monitoring, and engineering survey. In this work, with the optimization include employing the ultrathin PTFE and PET films as friction interface, and achieving microstructure in the PET surface through chemical etching, optimized the triboelectric nanogenerator to triboelectric sensor(T-sensor) with advantages of small size, low weight and high sensitivity. The sensor can generate 270 mV under the action of 27 mJ; and open circuit voltage is reach 110 V, and short circuit current is about 2.25?A while it works as current source. The sensor shows good sensitivity for detecting weak signals, and successfully to detect the human muscle motions including hand motion, mouth motion, blink and respiration, and can also be continuous, steady measuring pulse wave, apex beat wave signal. T-sensor has great potential in human muscle motions and physiological signals detection.Combine with an additional resonant cavity, the sensor can convert sound into electrical signals, so-called acoustical-electrical transducer. In the experiment, when the noise is 100 dB, combined with bridge rectifier circuit, this device charged capacitor of 100?F in 250 s, and voltage of the capacitor kept in about 3.2 V. This device can display frequency, amplitude and more information of sound in the form of a waveform with an oscilloscope, and the frequency would change with the difference of cavity shape. The device can realize sound localization, and the relative error is only 3%. Therefore, the triboelectric sensor is expected to be applied to sound signal collection and analysis, and sound localization.
Keywords/Search Tags:triboelectric nanogenerator, triboelectric sensor, physiological signals, acoustical-electrical transducer
PDF Full Text Request
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