Heuristic adaptive threshold detection method for neuronal spikes

作者全名："Zhao, Dechun; Jiao, Shuyang; Chen, Huan; Hou, Xiaorong"

作者地址："[Zhao, Dechun; Chen, Huan] Chongqing Univ Posts & Telecommun, Sch Biol Informat, Chongqing, Peoples R China; [Jiao, Shuyang] Chongqing Univ Posts & Telecommun, Sch Automat, Chongqing, Peoples R China; [Hou, Xiaorong] Chongqing Med Univ, Coll Med Informat, Chongqing, Peoples R China"

通信作者："Zhao, DC (通讯作者)，Chongqing Univ Posts & Telecommun, Sch Biol Informat, Chongqing, Peoples R China.; Hou, XR (通讯作者)，Chongqing Med Univ, Coll Med Informat, Chongqing, Peoples R China."

来源：IET SIGNAL PROCESSING

ESI学科分类：ENGINEERING

WOS号：WOS:000973769500001

JCR分区：Q4

影响因子：1.1

年份：2023

卷号：17

期号：4

开始页：　

结束页：　

文献类型：Article

关键词：adaptive algorithm; adaptive signal detection; adaptive signal processing; bioelectric potentials; heuristic threshold; signal detection; spike detection

摘要："In recent years, the development of microelectrode arrays and multichannel recordings has provided opportunities for high-precision detection in signal processing. The study of neuronal frontal potentials has been rapidly emerging as an important component in brain-computer interface and neuroscience research. Neuronal spike detection provides a basis for neuronal discharge analysis and nucleus cluster identification; its accuracy depends on feature extraction and classification, which affect neuronal decoding analysis. However, improving the detection accuracy of spike potentials in highly noisy signals remains a problem. IThe authors propose a heuristic adaptive threshold spike-detection algorithm that removes noise and reduces the phase shift using a zero-phase Butterworth infinite impulse response filter. Next, heuristic thresholding is applied to obtain spike points, remove repetitions, and achieve robust spike detection. The proposed algorithm achieved an average accuracy of 95.40% using extracellular spiked datasets and effectively detected spikes."

基金机构： [CYS22460]; [cstc2019jcyj-msxmX0275]

基金资助正文：ACKNOWLEDGEMENTS This work was supported by Chongqing Research and Innovation Project of Graduate Students [grant number CYS22460]; and the Natural Science Foundation Project of Chongqing [grant number cstc2019jcyj-msxmX0275].