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This paper presents a participatory and personalised approach to the sonification of sleep EEG data. While existing sleep technologies primarily rely on visual and abstract representations, this work explores how sound can be used as a meaningful medium for engaging with sleep. An in-depth, single-participant, iterative design study was conducted combining EEG data collection with three one-hour interviews and progressive design refinements. Through this process, the participant actively contributed to shaping how their sleep was represented through sound, influencing both the selection of sound materials and their mapping to sleep features. This exploratory study shows that sound preferences, in this context, are shaped by both acoustic properties and personal associations, and that iterative engagement is important in understanding nuanced expectations around continuity, narrative flow, duration, and uses of the sonification. The resulting sonification was perceived as engaging, reflective, and personally meaningful, though some limitations remained in clarity of sleep stages. These observations point to the effective role of participatory approaches in designing personal sonifications of data and suggest that future personalisation systems for sound-based sleep representations should prioritise user involvement, contextual meaning, and experiential qualities.