{"ID":6581540,"CreatedAt":"2026-07-14T14:20:02.629940702Z","UpdatedAt":"2026-07-14T14:20:02.629940702Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/1611.08537","arxiv_id":"1611.08537","title":"Sampling Rate Independent Filtration Approach for Automatic ECG Delineation","abstract":"In this paper different types of ECG automatic delineation approaches were overviewed. A combination of these approaches was used to create sampling rate independent filtration algorithm for automatic ECG delineation that is capable of distinguishing different morphologies of T and P waves and QRS complexes. Created filtration algorithm was compared with algorithme à trous. It was investigated that continuous wavelets transform with proposed automatic adaptation for different sampling rates procedure can be used for delineation problem.","url_abs":"https://arxiv.org/abs/1611.08537v1","url_pdf":"https://arxiv.org/pdf/1611.08537v1","authors":"Hryhorii Chereda, Sergii Nikolaiev, Yury Tymoshenko","published":"2016-11-25T17:57:10Z","has_code":false}