Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns

Yun Ting Kuo; Shih Hung Yang; Chin Yu Chou; Hao Cheng Chang; Kuan Yu Chen; You Yin Chen

doi:10.1109/BioCAS54905.2022.9948606

Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns

Yun Ting Kuo, Shih Hung Yang, Chin Yu Chou, Hao Cheng Chang, Kuan Yu Chen, You Yin Chen

生物醫學工程學系

研究成果: Conference contribution › 同行評審

摘要

Instability of neural signals is a vital issue in intracortical brain machine interface (iBMI) systems which caused by missing neuron day by day. This study proposed mean-perturbation to impute missing neural spike train during rat forelimb movement. Our results showed that the proposed mean-perturbation for sequence imputation of missing neural spikes was used to enhance the long-term decoding performance.

原文	English
主出版物標題	BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference
主出版物子標題	Intelligent Biomedical Systems for a Better Future, Proceedings
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	625-629
頁數	5
ISBN（電子）	9781665469173
DOIs	https://doi.org/10.1109/BioCAS54905.2022.9948606
出版狀態	Published - 2022
事件	2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 - Taipei, Taiwan 持續時間: 13 10月 2022 → 15 10月 2022

出版系列

名字	BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings

Conference

Conference	2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022
國家/地區	Taiwan
城市	Taipei
期間	13/10/22 → 15/10/22

存取文件

10.1109/BioCAS54905.2022.9948606

其它文件與鏈接

Link to publication in Scopus

引用此

Kuo, Y. T., Yang, S. H., Chou, C. Y., Chang, H. C., Chen, K. Y., & Chen, Y. Y. (2022). Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns. 於 BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings (頁 625-629). (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS54905.2022.9948606

Kuo, Yun Ting ; Yang, Shih Hung ; Chou, Chin Yu 等. / Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns. BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. 頁 625-629 (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings).

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title = "Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns",

abstract = "Instability of neural signals is a vital issue in intracortical brain machine interface (iBMI) systems which caused by missing neuron day by day. This study proposed mean-perturbation to impute missing neural spike train during rat forelimb movement. Our results showed that the proposed mean-perturbation for sequence imputation of missing neural spikes was used to enhance the long-term decoding performance.",

keywords = "brain machine interface (BMI), imputation, missing data",

author = "Kuo, {Yun Ting} and Yang, {Shih Hung} and Chou, {Chin Yu} and Chang, {Hao Cheng} and Chen, {Kuan Yu} and Chen, {You Yin}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 ; Conference date: 13-10-2022 Through 15-10-2022",

year = "2022",

doi = "10.1109/BioCAS54905.2022.9948606",

language = "English",

series = "BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "625--629",

booktitle = "BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference",

address = "United States",

}

Kuo, YT, Yang, SH, Chou, CY, Chang, HC, Chen, KY & Chen, YY 2022, Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns. 於 BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings, Institute of Electrical and Electronics Engineers Inc., 頁 625-629, 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022, Taipei, Taiwan, 13/10/22. https://doi.org/10.1109/BioCAS54905.2022.9948606

Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns. / Kuo, Yun Ting; Yang, Shih Hung; Chou, Chin Yu 等.
BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 625-629 (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings).

研究成果: Conference contribution › 同行評審

TY - GEN

T1 - Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns

AU - Kuo, Yun Ting

AU - Yang, Shih Hung

AU - Chou, Chin Yu

AU - Chang, Hao Cheng

AU - Chen, Kuan Yu

AU - Chen, You Yin

PY - 2022

Y1 - 2022

N2 - Instability of neural signals is a vital issue in intracortical brain machine interface (iBMI) systems which caused by missing neuron day by day. This study proposed mean-perturbation to impute missing neural spike train during rat forelimb movement. Our results showed that the proposed mean-perturbation for sequence imputation of missing neural spikes was used to enhance the long-term decoding performance.

AB - Instability of neural signals is a vital issue in intracortical brain machine interface (iBMI) systems which caused by missing neuron day by day. This study proposed mean-perturbation to impute missing neural spike train during rat forelimb movement. Our results showed that the proposed mean-perturbation for sequence imputation of missing neural spikes was used to enhance the long-term decoding performance.

KW - brain machine interface (BMI)

KW - imputation

KW - missing data

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U2 - 10.1109/BioCAS54905.2022.9948606

DO - 10.1109/BioCAS54905.2022.9948606

M3 - Conference contribution

AN - SCOPUS:85142924239

T3 - BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings

SP - 625

EP - 629

BT - BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022

Y2 - 13 October 2022 through 15 October 2022

ER -

Kuo YT, Yang SH, Chou CY, Chang HC, Chen KY, Chen YY. Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns. 於 BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. p. 625-629. (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings). doi: 10.1109/BioCAS54905.2022.9948606

Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns

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