Quantitative change of EEG and respiration signals during mindfulness meditation.
Quantitative change of EEG and respiration signals during mindfulness meditation.
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DOI：
10.1186/1743-0003-11-87
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发表时间：
2014-05-14
影响因子：
5.1
通讯作者：
Oken B
中科院分区：
文献类型：
--
作者：
Ahani A;Wahbeh H;Nezamfar H;Miller M;Erdogmus D;Oken B
本研究调查了正念冥想（MM）作为一种心理练习的措施，在这种练习中，保持一种休息但警觉的心理状态。高压力水平的老年人参与了这项研究，而脑电图（EEG）和呼吸信号记录在MM干预。运用信号处理技术对冥想和控制状态下的生理信号进行分析。在为期6周的冥想干预后，收集并分析了34名冥想新手的脑电图和呼吸数据。收集的数据进行了分析，频谱分析，相位分析和分类，以评估冥想的客观标记。不同的频段表现出不同的冥想和控制条件。此外，我们建立了一个分类器，使用EEG和呼吸信号具有更高的准确性（85%），在区分冥想和控制条件比分类器仅使用EEG信号（78%）。结合脑电和呼吸特征向量的支持向量机分类器是一种可行的冥想能力客观指标。在未来的研究中，这个分类器应该能够量化不同水平的冥想深度和冥想体验。
This study investigates measures of mindfulness meditation (MM) as a mental practice, in which a resting but alert state of mind is maintained. A population of older people with high stress level participated in this study, while electroencephalographic (EEG) and respiration signals were recorded during a MM intervention. The physiological signals during meditation and control conditions were analyzed with signal processing. EEG and respiration data were collected and analyzed on 34 novice meditators after a 6-week meditation intervention. Collected data were analyzed with spectral analysis, phase analysis and classification to evaluate an objective marker for meditation. Different frequency bands showed differences in meditation and control conditions. Furthermore, we established a classifier using EEG and respiration signals with a higher accuracy (85%) at discriminating between meditation and control conditions than a classifier using the EEG signal only (78%). Support vector machine (SVM) classifier with EEG and respiration feature vector is a viable objective marker for meditation ability. This classifier should be able to quantify different levels of meditation depth and meditation experience in future studies.
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影响因子：
5
作者：
COHEN, S;KAMARCK, T;MERMELSTEIN, R
通讯作者：
MERMELSTEIN, R
影响因子：
3
作者：
Dunn, BR;Hartigan, JA;Mikulas, WL
通讯作者：
Mikulas, WL
影响因子：
20.6
作者：
HARRIS, FJ
通讯作者：
HARRIS, FJ
影响因子：
6
作者：
Bach, FR;Jordan, MI
通讯作者：
Jordan, MI
影响因子：
4.7
作者：
Jerath, Ravinder;Edry, John W.;Jerath, Vandna
通讯作者：
Jerath, Vandna