Zaynidinov, HakimjonSingh, DhananjayMakhmudjanov, SarvarYusupov, IbrohimbekDepartment of Artificial Intelligence2024-12-162024-12-1620224978303098404597830309840380302-97431611-334910.1007/978-3-030-98404-5_44https://doi.org/10.1007/978-3-030-98404-5_44https://tuit-demo.gcris.com/handle/123456789/69Zaynidinov, Hakimjon/0000-0002-8098-5246; Singh, Dhananjay/0000-0003-3822-9348; Yusupov, Ibrohimbek/0000-0002-2166-6683; Makhmudjanov, Sarvar/0000-0002-8642-6808In 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.eninfo:eu-repo/semantics/closedAccessInternet of thingsDigital signal processingB-splineSpline-waveletsSignal energyIntegrationSampling stepsConference ObjectN/AQ313184471482WOS:000784640700044