利用脉冲波进行自我认知

Yuyu Hu, M. Oyama-Higa, E. Miyoshi
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引用次数: 1

摘要

在本研究中,我们通过对脉搏波的分析得到各种指标,然后用这些指标来自我认知自己的心理状态和特征。脉冲波测量简单、安全。此外,通过分析测量数据,我们可以得到三个指标:最大李雅普诺夫指数(LLE)、自主神经平衡(ANB)和样本熵(SampEn)。利用这三个指标,我们对抑郁症的辨别、阿尔茨海默病的心理状态分析、帕金森病对指标的影响、长期研究后心理状态的变化等多个因素进行了研究。然而,为了更科学地利用这项技术,我们需要建立一个更完整的数据库,进行更系统的测量。
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Using Pulse Waves for Self-Cognition
In this research, we obtain various indicators by analyzing pulse waves, which are then used to self-cognize one's own psychological state and characteristics. Pulse wave measurement is simple and safe. What's more, we can get three indicators by analyzing the measured data: the largest Lyapunov exponent (LLE), autonomic nerve balance (ANB), and sample entropy (SampEn). Using these three indicators, we conducted research on a number of factors, including the discrimination of depression, the psychological state analysis of Alzheimer's disease, the effects of Parkinson's disease on indicators, and the change of mental state after long-term study. However, in order to utilize this technology more scientifically, we need to assemble a more complete database and make more systematic measurements.
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