Lin Yao, Mei Lin Chen, X. Sheng, N. Mrachacz‐Kersting, Xiangyang Zhu, D. Farina, N. Jiang
{"title":"Common Spatial Pattern with Polarity Check for reducing delay latency in detection of MRCP based BCI system","authors":"Lin Yao, Mei Lin Chen, X. Sheng, N. Mrachacz‐Kersting, Xiangyang Zhu, D. Farina, N. Jiang","doi":"10.1109/NER.2017.8008409","DOIUrl":null,"url":null,"abstract":"This work proposes a Common Spatial Pattern with Polarity Check (CSPPC) to facilitate Movement Related Cortical Potential (MRCP) detection. The algorithm was compared with the Locality Preserving Projection (LPP) algorithm in the context of detecting foot dorsiflexion within a group of thirteen subjects. It has been shown that CSPPC achieved a significantly reduced delay latency compared to LPP (−25.9±190.7 ms vs. 204.6±123.7 ms), which had a similar detection accuracy (true positive rate: 73.6±23.3% vs. 72.2±16.3%). This proposed algorithm will enhance the induction of neuroplasticity by significantly reducing the delay between movement detection and the corresponding afferent input.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NER.2017.8008409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This work proposes a Common Spatial Pattern with Polarity Check (CSPPC) to facilitate Movement Related Cortical Potential (MRCP) detection. The algorithm was compared with the Locality Preserving Projection (LPP) algorithm in the context of detecting foot dorsiflexion within a group of thirteen subjects. It has been shown that CSPPC achieved a significantly reduced delay latency compared to LPP (−25.9±190.7 ms vs. 204.6±123.7 ms), which had a similar detection accuracy (true positive rate: 73.6±23.3% vs. 72.2±16.3%). This proposed algorithm will enhance the induction of neuroplasticity by significantly reducing the delay between movement detection and the corresponding afferent input.
本研究提出了一种具有极性检查(CSPPC)的共同空间模式,以促进运动相关皮质电位(MRCP)的检测。将该算法与局部保持投影(Locality Preserving Projection, LPP)算法在13个受试者的足背屈检测中进行了比较。与LPP相比,CSPPC的延迟潜伏期显著降低(- 25.9±190.7 ms vs. 204.6±123.7 ms),其检测准确率相似(真阳性率:73.6±23.3% vs. 72.2±16.3%)。该算法通过显著减少运动检测与相应传入输入之间的延迟来增强神经可塑性的诱导。