Emergence of Autonomic Transfer Proprieties by Learning Efficient Codes from Heartbeat Intervals

Fausto LUCENA; Allan Kardec BARROS; Noboru OHNISHI

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Emergence of Autonomic Transfer Proprieties by Learning Efficient Codes from Heartbeat Intervals

机译：通过从心跳间隔中学习有效的代码来出现自主转移特性

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We present a generative model of the heartbeat intervals that captures the variations underlying the cardiac rhythm. Under the assumption of statistical independence, the model uses a bank of filters obtained from heartbeat intervals that are able to represent the input-output dynamics of the heart. To validate our model, we use cardiac responses data derived from rabbits to compare the response of the proposed model. As a result, we report a signal-to-noise ratio that ranges from 6 dB to 14 dB. These results strongly support the idea that efficient codes obtained from heartbeat intervals yield filter structures that mimic transfer functions of the autonomic control.

机译：我们提出了一个心跳间隔的生成模型，该模型捕获了心律下的变化。在统计独立性的假设下，该模型使用从心跳间隔获得的一组滤波器，这些滤波器能够表示心脏的输入输出动态。为了验证我们的模型，我们使用了来自兔子的心脏反应数据来比较建议模型的反应。结果，我们报告的信噪比范围为6 dB至14 dB。这些结果强烈支持这样的想法，即从心跳间隔获得的有效代码会产生模仿自动控制传递函数的滤波器结构。

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来源
《電子情報通信学会技術研究報告》 |2011年第461期|p.153-158|共6页
作者
Fausto LUCENA; Allan Kardec BARROS; Noboru OHNISHI;
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作者单位

Grad. School of Information Science, Nagoya University Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan;

Dept. of Electrical Engineering, Federal University of Maranhao Bacanga, Sao Luis, S/N, Brazil;

Grad. School of Information Science, Nagoya University Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan;

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正文语种 eng
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efficient coding; autonomous nervous; heartbeat intervals; ICA;

机译：高效编码;自主神经心跳间隔ICA;

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专利

1. Emergence of Autonomic Transfer Proprieties by Learning Efficient Codes from Heartbeat Intervals [J] . Fausto LUCENA, Allan Kardec BARROS, Noboru OHNISHI 電子情報通信学会技術研究報告. ニュ-ロコンピュ-ティング. Neurocomputing . 2010,第461期

机译：通过从心跳间隔中学习有效的代码来出现自主转移特性
2. Dynamic assessment and overnight evaluation on autonomic imbalance in patients with sleep apnea via volatility clustering of descending (or ascending) heartbeat intervals [J] . ShiauY.-H., SieJ.-H. International Journal of Cardiology . 2013,第4期

机译：通过心跳间隔下降（或上升）的波动性聚集动态评估和过夜评估睡眠呼吸暂停患者的自主神经失调
3. Dynamic assessment and overnight evaluation on autonomic imbalance in patients with sleep apnea via volatility clustering of descending (or ascending) heartbeat intervals [J] . ShiauY.-H., SieJ.-H. International Journal of Cardiology . 2013,第4期

机译：通过心跳间隔下降（或上升）的波动性聚集动态评估和过夜评估睡眠呼吸暂停患者的自主神经失调
4. Discrimination of the Healthy and Sick Cardiac Autonomic Nervous System by a New Wavelet Analysis of Heartbeat Intervals [C] . M. Lewkowicz, Y. Ashkenazy, J. Levitan Satellite Symposium of The 20th Annual International Conference of The IEEE Engineering in Medicine and Biology Society Beijing, China November 2-4, 1998 . 1998

机译：通过心跳间隔的新小波分析区分健康和心脏疾病的自主神经系统。
5. Electrocardiogram breathing: A study of electrocardiogram derived respiration plus multiresolution wavelet analysis of heartbeat interval variability in sleep study patients. [D] . Watson, Herman Lanier. 2007

机译：心电图呼吸：对睡眠研究患者的心电图得出的呼吸以及心律间隔变异性的多分辨率小波分析进行的研究。
6. Statistical Coding and Decoding of Heartbeat Intervals [O] . Fausto Lucena, Allan Kardec Barros, José C. Príncipe, 2008

机译：心跳间隔的统计编码和解码
7. Discrimination of the Healthy and Sick Cardiac Autonomic Nervous System by a New Wavelet Analysis of Heartbeat Intervals [O] . Ashkenazy, Yu, Lewkowicz, M, Levitan, J, 1998

机译：通过心跳间隔的新小波分析区分健康和心脏疾病的自主神经系统。

Emergence of Autonomic Transfer Proprieties by Learning Efficient Codes from Heartbeat Intervals

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