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Sequence distance via parsing complexity: Heartbeat signals |
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| Authors: | M. Degli Esposti C. Farinelli G. Menconi |
| Affiliation: | 1. Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo” (ISTI-CNR), Via Moruzzi 1, Pisa 56124, Italy;2. Basque Center for Applied Mathematics(BCAM), Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country, Spain;3. Scuola Superiore Sant’Anna, P.zza Martiri della Libertà 7, 56127 Pisa, Italy;1. Telefónica Research, Pl. Ernest Lluch i Martín 5, 08019 Barcelona, Spain;2. IIIA-CSIC, Campus de la UAB s/n, 08193 Bellaterra, Spain |
| Abstract: | We compare and discuss the use of different symbolic codings of electrocardiogram (ECG) signals in order to distinguish healthy patients from hospitalized ones. To this aim, we recall a parsing-based similarity distance and compare the performances of several methods of classification of data. |
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