Dataset describes EEG and ECG recordings from children, enabling neurodevelopment analysis and age prediction algorithms.
Paediatric brain activity can be measured effectively during light sleep; a vigilance state that manifests with similar phenomenology on the EEG across childhood. Here, we describe a curated dataset of EEG and ECG recordings from 1032 subjects from 2 months to 16 years of age (Helsinki Kids 1 K – HK1K). All subjects had age-appropriate EEG and ECG recordings, along with typical neurodevelopment, as confirmed by a clinical review of their medical records over the four years following the recording. These data can be used to define normative ranges of paediatric EEG/ECG, train foundation models of paediatric EEG/ECG, and generate age prediction algorithms that underpin measures of brain age gap.
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Stevenson et al. (2026) studied this question.
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