Abstract
In this paper, digital signal processing methods and its solution for HCI were described. Mostly, problems are connected to taking signals or data from real time devices. Data is often serial, stream or etc. device and computer integration in HCI focuses to digital signal processing. Today, the use of interpolation methods in the digital processing of biomedical signals is important, and at the same time allows the detection and diagnosis of diseases as a result of digital processing of biomedical signals. This paper discusses the construction of a signal model using the spline-wavelet interpolation formula for equal intervals in the digital processing of biomedical signals.
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References
Jerry, A.: Shannon’s sampling theorem, its various generalizations and limitations. TIIER 65(11), 53–89 (1977)
Zhmud, V.A.: High precision automatic control systems. Autom. Soft. Eng. 3(17), 128–136 (2016)
Zavyalov, Yu.S., Kvasov, B.I., Miroshnichenko, V.L.: Spline function methods. Science, p. 352 (1980)
Singh, D., Singh, M., Hakimjon, Z.: Geophysical application for splines. In: Singh, D., Singh, M., Hakimjon, Z. (eds.) Signal Processing Applications Using Multidimensional Polynomial Splines, pp. 55–63. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-2239-6_7
Kotelnikov, V.: On the transmission capacity of “ether” and wire in telecommunications. Uspekhi fizicheskikh nauk (Appendix) 176(7), 762–770 (2006). (Reprinted 1933)
Malla, S.: Wavelets in Signal Processing. Per. from English. Mir (2005)
Svinin, S.F.: Theory and methods of forming samples of signals with infinite spectra, p. 71. SPb., Nauka (2016)
Slepyan, D.: On the width of the strip. TIIER 52(3), 4–14 (1964)
Zaynidinov, H., Makhmudjanov, S., Rajabov, F., Singh, D.: IoT-enabled mobile device for electrogastrography signal processing. In: Singh, M., Kang, D.-K., Lee, J.-H., Tiwary, U.S., Singh, D., Chung, W.-Y. (eds.) IHCI 2020. LNCS, vol. 12616, pp. 346–356. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-68452-5_36
Beer, G., Marussig, B., Duenser, C.: Basis functions, B-splines. In: Beer, G., Marussig, B., Duenser, C. (eds.) The Isogeometric Boundary Element Method. LNACM, vol. 90, pp. 35–71. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-23339-6_3
Hao, X., Lu, L., Gu, W.K., Zhou, Y.C.: A Parallel computing algorithm for geometric interpolation using uniform B-splines within GPU. Inf. Technol. J. 15, 61–69 (2016)
Lara-Ramirez, J.E., Garcia-Capulin, C.H., Estudillo-Ayala, M.J., Avina-Cervantes, J.G., Sanchez-Yanez, R.E., Rostro-Gonzalez, H.: Parallel hierarchical genetic algorithm for scattered data fitting through B-splines. Appl. Sci. 9, 2336 (2019)
Almotiri, S.H., Khan, M.A., Alghamdi, M.A.: Mobile health (m-health) system in the context of IoT. In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pp. 39–42, August 2016
Gupta, M.S.D., Patchava, V., Menezes, V.: Healthcare based on IoT using raspberry Pi. In: 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), pp. 796–799, October 2015
Xu, B., Xu, L.D., Cai, H., Xie, C., Hu, J., Bu, F.: Ubiquitous data accessing method in IoT-based information system for emergency medical services. IEEE Trans. Ind. Inform. 10(2), 1578–1586 (2014). ISSN 1551-3203
Parkman, H.P., Hasler, W.L., Fisher, R.S.: American gastroenterological association medical position statement: diagnosis and treatment of gastroparesis. Gastroenterology 127(5) (2004)
Romero, L.E., Chatterjee, P., Armentano, R.L.: An IoT approach for integration of computational intelligence and wearable sensors for Parkinson’s disease diagnosis and monitoring. Heal. Technol. 6(3), 167–172 (2016). https://doi.org/10.1007/s12553-016-0148-0
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Zaynidinov, H., Singh, D., Makhmudjanov, S., Yusupov, I. (2022). Methods for Determining the Optimal Sampling Step of Signals in the Process of Device and Computer Integration. In: Kim, JH., Singh, M., Khan, J., Tiwary, U.S., Sur, M., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2021. Lecture Notes in Computer Science, vol 13184. Springer, Cham. https://doi.org/10.1007/978-3-030-98404-5_44
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DOI: https://doi.org/10.1007/978-3-030-98404-5_44
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