混合模糊-神经委员会网络识别吞咽加速度信号

Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286) Pub Date : 1998-10-29 DOI:10.1109/IEMBS.1998.747136

N. P. Reddy, A. Das, D. Simcox

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引用次数: 7

摘要

吞咽引起正常和吞咽困难个体特有的加速模式。通常，由于说话、咳嗽等原因，信号中会出现一些伪影。在本研究中，我们建立了两组模糊神经委员会网络，并训练它们来识别吞咽引起的加速度信号。实验结果表明，该网络能够很好地识别吞咽信号和伪影。

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Hybrid fuzzy-neural committee networks for recognition of swallow acceleration signals

Swallowing gives rise to characteristic patterns of acceleration in normal and dysphagic individuals. Usually, there are several artifacts present in the signal due to speech, coughing, etc. In the present study, two sets of fuzzy-neural committee networks were developed and trained to recognized acceleration signals due to swallowing. Evaluation showed that the networks well recognized the swallow signals and artifacts.

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Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)

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