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Identification by analysis of physiometric variation
Identification by analysis of physiometric variation
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机译:通过分析生理变化来识别
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摘要
Methods involving extraction of information from the inherent variability of physiometrics, including data on cardiovascular and pulmonary functions such as heart rate variability, characteristics of ECG traces, pulse, oxygenation of subcutaneous blood, respiration rate, temperature or CO2 content of exhaled air, heart sounds, and body resonance, can be used to identify individual subjects, particularly humans. Biometric data for use in the methods can be obtained either from contact sensors or at a distance. The methods can be performed alone or can be fused with previous identification algorithms.
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机译:涉及从生理计量学固有变异中提取信息的方法,包括有关心血管和肺功能的数据,例如心率变异性,ECG痕迹特征,脉搏,皮下血液的充氧,呼吸频率,温度或CO 2 Sub >呼出空气,心音和身体共振的含量可用于识别个体,尤其是人类。该方法中使用的生物特征数据可以从接触传感器或远距离获得。这些方法可以单独执行,也可以与以前的识别算法融合。
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