Automatic Extraction System for Common Artifacts in EEG Signals Based on Evolutionary Stone’s BSS Algorithm

Table 22

Types of separated signals from real EEG data (19 channels) of the proposed algorithm using sparsity measure.

IC	Sparsity	Type of IC
IC1	11.476	Artifact
IC2	2.0036	Brain signal
IC3	2.1521	Brain signal
IC4	1.9057	Brain signal
IC5	2.1731	Brain signal
IC6	1.9003	Brain signal
IC7	0.2426	LN
IC8	2.1129	Brain signal
IC9	1.3741	Brain signal
IC10	2.2244	Brain signal
IC11	1.5671	Brain signal
IC12	1.9621	Brain signal
IC13	1.2986	Brain signal
IC14	1.0013	Brain signal
IC15	1.1021	Brain signal
IC16	1.0318	Brain signal
IC17	1.0119	Brain signal
IC18	1.0093	Brain signal
IC19	1.0014	Brain signal