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McHugh, L.\u00a0Veloso, M.\u00a0Golmohammadi, I.\u00a0Obeid, and J.\u00a0Picone, \u201cThe temple university hospital seizure detection corpus,\u201d Frontiers in neuroinformatics, vol.\u00a012, p.\u00a083, 2018.","journal-title":"Frontiers in neuroinformatics"}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-025-02224-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10916-025-02224-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-025-02224-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T03:55:16Z","timestamp":1750823716000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10916-025-02224-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,25]]},"references-count":48,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["2224"],"URL":"https:\/\/doi.org\/10.1007\/s10916-025-02224-w","relation":{},"ISSN":["1573-689X"],"issn-type":[{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,25]]},"assertion":[{"value":"19 February 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 June 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study utilizes the publicly accessible CHB-MIT dataset, which consists of electroencephalogram (EEG) signals collected from Boston Children\u2019s Hospital and stored in the MIT EEG Database. The CHB-MIT dataset is extensively used in scientific research for the analysis of EEG signals and epileptic seizure detection. Given the nature of this dataset: 1. The dataset is openly available for academic research purposes. 2. It has been anonymized to protect individual privacy, ensuring no personally identifiable information is included. 3. Based on its public availability and anonymized state, this study did not require formal ethical approval or participant consent.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"Not applicable","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics and Consent to Participate"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}],"article-number":"90"}}