Physiological signal processing in heart rate variability measurement: A focus on spectral analysis

Amin Gasmi
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引用次数: 0

Abstract

Feelings and emotions are significant determinants of the behavior of an individual. Human emotions can be established and recognized through several approaches, such as facial images, gesture, neuroimaging methods, and psychological signals [1]. The human body produces many physiological signals. These physiological signals can be categorized into eight major groups; the flow of body fluids, pressure, dimensions (e.g., imaging), biopotential, temperature, impendence, and chemical concentration and composition. Due to the importance of these signals in the human body, it is of great significance that these signals be accessible for monitoring [2].
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心率变异性测量中的生理信号处理:聚焦频谱分析
感觉和情绪是个人行为的重要决定因素。人类的情绪可以通过几种方法来建立和识别,如面部图像、手势、神经成像方法和心理信号[1]。人体产生许多生理信号。这些生理信号可分为八大类;体液的流动、压力、尺寸(如成像)、生物电势、温度、阻抗以及化学物质的浓度和组成。由于这些信号在人体中的重要性,获取这些信号对[2]的监测具有重要意义。
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