Threshold optimization in separating cortical and extracerebral hemodynamics using principal component analysis
Ippeita Dan
IntroductionWhen trying to differentiate between hemodynamic cortical and extracerebral signals identified by devices used to detect cortical activity, statistical methods such as principal component analysis (PCA) are commonly employed as alternative approaches to using short separation measurements to reduce the influence of extracerebral hemodynamics. PCA requires a threshold value to separate cortical and extracerebral signals; however, existing methods often rely on fixed thresholds that fa