首页> 外文会议>2018 52nd Asilomar Conference on Signals, Systems, and Computers >Inferring Autonomic Nervous System Stimulation from Hand and Foot Skin Conductance Measurements
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Inferring Autonomic Nervous System Stimulation from Hand and Foot Skin Conductance Measurements

机译:从手足皮肤电导率测量推断自主神经系统刺激

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The autonomic nervous system (ANS) stimulates various sweat glands. Changes in skin conductance measurements indicate sudomotor nerve activity (SMNA), and could be used in inferring the underlying ANS stimulation. We model hand and foot skin conductance measurements simultaneously using a state-space model with Gaussian errors and sparse impulsive events as inputs to the model. Using a multi-rate formulation, we recover the timing and amplitudes of SMNA using a generalized cross-validation based sparse recovery approach. We analyze experimental and simulated data to validate the performance of the proposed approach and illustrate that we are able to recover the underlying auditory stimuli.
机译:自主神经系统(ANS)刺激各种汗腺。皮肤电导率测量值的变化表明sudomotor神经活动(SMNA),可用于推断潜在的ANS刺激。我们使用具有高斯误差和稀疏冲动事件的状态空间模型作为模型的输入,同时对手和足皮肤电导率测量进行建模。使用多速率公式,我们使用基于广义交叉验证的稀疏恢复方法来恢复SMNA的时间和幅度。我们分析实验和模拟数据以验证所提出方法的性能,并说明我们能够恢复潜在的听觉刺激。

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