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20 reviewsObjective. Electrically evoked auditory steady-state responses (EASSRs) are potential neuralresponses for objectively determining stimulation parameters of cochlear implants (CIs).Unfortunately, they are difficult to detect in electroencephalography (EEG) recordings due to theelectrical stimulation artifacts of the CI. This study investigates a novel stimulation paradigmhypothesized to improve artifact removal efficacy via system identification (SI), and therefore toimprove response detection and clinical applicability. Approach. An amplitude-modulated (AM) CIstimulation pulse train with a step-wise increase in modulation frequency is created (referred to asSWEEP stimulation). Another stimulation is created by randomly shuffling modulationfrequencies of the SWEEP stimulation (referred to as Shuffled-SWEEP stimulation). AM pulsetrains with fixed modulation frequency (referred to as conventional AM stimulation), which elicitEASSRs, are also created for comparison. EEG data is collected from four CI users. Asupra-threshold stimulation condition is used to investigate whether the SWEEP andShuffled-SWEEP stimulation can elicit envelope-following responses (EFRs). A sub-thresholdstimulation condition allows the collection of artifact-only EEG data, which is used to compare theSI accuracy on recordings from the SWEEP and the conventional AM stimulation. Main results. Inall CI users, neural responses, following the SWEEP, Shuffled-SWEEP, and conventional AMstimulation are detected after artifact removal with SI. The validation with artifact-only EEG datashows higher F1 scores when comparing recordings with SWEEP stimulation (F1 = 0.9) torecordings with conventional AM stimulation (F1 = 0.82). Significance. Being able to accuratelyidentify the response within one EEG recording enables the development of effective, online,objective fitting protocols. The increased neural response detection sensitivi
