{"artifact_id":"L1-068","layer":"L1","title":"Electroencephalography (EEG)","domain":"Medical Imaging","sub_domain":"Scalp-electrode electric field brain imaging","physics_fingerprint":{"L_DAG":4.0,"title":"Electroencephalography (EEG)","domain":"Medical Imaging","carrier":"radio_wave","primitives":["D.scalp_electrode_array","L.inverse_source_localization","int.temporal"],"sub_domain":"Scalp-electrode electric field brain imaging","noise_model":"gaussian","problem_class":"nonlinear_inverse","solution_space":"4D_cortical_current","difficulty_delta":5,"integration_axis":"temporal","sensing_mechanism":"eeg_scalp_array"},"observable_profile":{"metric":"PSNR_dB","regime":"Existence of the recovered 4D cortical current is guaranteed within the declared Omega bounds. Uniqueness is local rather than global (non-convex landscape); convergence depends on initialisation and priors. Stability is moderately conditioned (kappa_eff ~= 25); electrode_contact dominates the stability cliff; muscle_artifact and the remaining mismatch parameters contribute higher-order bias terms. Additive gaussian thermal/electronic noise sets the irreducible data-fidelity floor, while TV / wavelet-sparsity / deep priors stabilise recovery at the ill-conditioned end of Omega.","secondary":"SSIM"},"size_tiers":{"center_spec":{"omega":{"N_time":10000,"SNR_dB":15,"N_channels":64,"sampling_Hz":1000,"muscle_artifact":0.0,"electrode_contact":1.0,"volume_conduction":0.3,"reference_electrode_bias":0.0},"input_format":"measurement_only","problem_class":"eeg","forward_operator":"eeg_forward","epsilon_fn_center":"13.0"},"omega_bounds":{"N_time":[1000,1000000],"SNR_dB":[0.0,30.0],"N_channels":[8,256],"sampling_Hz":[100,10000],"muscle_artifact":[0.0,0.5],"electrode_contact":[0.3,1.0],"volume_conduction":[0.1,0.5],"reference_electrode_bias":[0.0,0.3]},"epsilon_bounds":{"psnr_db":[5.0,45.0]},"allowed_problem_classes":["eeg"],"allowed_omega_dimensions":["N_channels","N_time","sampling_Hz","SNR_dB","electrode_contact","muscle_artifact","volume_conduction","reference_electrode_bias","electrode_contact","muscle_artifact","volume_conduction","reference_electrode_bias"],"allowed_forward_operators":["eeg_forward"]},"hardness_fn":{"type":"epsilon_fn","delta":5,"kappa":500,"metric":"PSNR_dB"},"initiator_dataset":[{"name":"primary","weight":1.0,"ipfs_cid":null,"license_hash":null}],"status":"testnet","staked_pwm":0.0,"chain_hash":"0x99f5eb1849b47675ea4148b13a605712b7c71b9e046b7c1e53f8bfd267c99b90","chain_tx_hash":"0x8b2aa5074dcb57afd17a9dcee416c16351090c1fbdaeab45e79b9624ad24a803","chain_block":41553386}