Unsupervised detection and classification of heartbeats using the dissimilarity matrix in PCG signals

Author:

Torre-Cruz J.ORCID,Martinez-Muñoz D.,Ruiz-Reyes N.,Muñoz-Montoro A.J.,Puentes-Chiachio M.,Canadas-Quesada F.J.

Funder

Ministerio de Ciencia e Innovación

University of Jaén

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference62 articles.

1. World Health Organization. Cardiovascular Diseases, 2022, (https://www.who.int/health-topics/cardiovascular-diseases/#tab=tab_1), Online. Accessed: 2021-12-20.

2. Susanna Sans Menendez, Enfermedades Cardiovasculares, Institut d’ Estudis de la Salut, Barcelona, 2021, 2021, (https://www.sanidad.gob.es/organizacion/sns/planCalidadSNS/pdf/equidad/07modulo_06.pdf) Online. Accessed: 2021-12-20.

3. Horizon Europe Work Programme 2021–2022 4. Health, 2021, 2021, (https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/wp-call/2021-2022/wp-4-health_horizon-2021-2022_en.pdf) Online. Accessed: 2021-12-20.

4. World Health Organization. Data and statistics, 2021, (https://www.euro.who.int/en/health-topics/noncommunicable-diseases/cardiovascular-diseases/data-and-statistics) Online. Accessed: 2021-12-20.

5. An algorithm for heart rate extraction from acoustic recordings at the neck;Sharma;IEEE Trans. Biomed. Eng.,2019

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