A new deep structure to improve detection of P300 signals: using supervised learning as kernel of convolutional neural networks

IF 0.4 Q4 HEALTH CARE SCIENCES & SERVICES

International Journal of Healthcare Technology and Management Pub Date : 2021-01-01 DOI:10.1504/ijhtm.2021.10042934

M. Keyvanpour, Sajedeh Morabbi, S. V. Shojaedini

引用次数: 0

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一种改进P300信号检测的新深度结构:使用监督学习作为卷积神经网络的核

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Healthcare Technology and Management HEALTH CARE SCIENCES & SERVICES-

CiteScore

1.00

自引率

10.00%

发文量

期刊介绍： IJHTM is a new series emerging from the International Journal of Technology Management. It provides an international forum and refereed authoritative sources of information in the fields of management, economics and the management of technology in healthcare.