Low-Power, Low-Latency Hermite Polynomial Characterization of Heartbeats Using a Field-Programmable Gate Array

Author:

Lakhotia Kartik,Caffarena Gabriel,Gil Alberto,Márquez David G.,Otero Abraham,Desai Madhav P.

Publisher

Springer International Publishing

Reference11 articles.

1. World Health Organization: Global Status Report on Noncommunicable Diseases. Accessed: September 27 (2010). http://whqlibdoc.who.int/publications/2011/9789240686458_eng.pdf?ua=1

2. Lagerholm, M., Peterson, C., Braccini, G., Edenbr, L., Sörnmo, L.: Clustering ECG complexes using Hermite functions and self-organizing maps. IEEE Trans. Biomed. Eng. 47, 838–848 (2000)

3. Márquez, D.G., Otero, A., Félix, P., García, C.A.: On the accuracy of representing heartbeats with hermite basis functions. In: Biosignals Conference, pp. 338–341 (2013)

4. Braccini, G., Edenbrandt, L., Lagerholm, M., Peterson, C., Rauer, O., Rittner, R., Sörnmo, L.: Self-organizing maps and Hermite functions for classification of ECG complexes. Comput. Cardiol. 1997, 425–428 (1997)

5. Linh, T.H., Osowski, S., Stodolski, M.: On-line heart beat recognition using Hermite polynomials and neuro-fuzzy network. IEEE Tran. Instrum. Measur. 52(4), 1224–1231 (2003)

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