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- W3022158009 abstract "This chapter describes the different origins and types of biosignals and distinguishes between deterministic, periodic, transient, and random signals. Biological signals are space, time, or space–time records of a biological event. Biosignals contain useful information that can be used to understand the underlying physiological mechanisms of a specific biological event or system, and which may be useful for medical diagnosis. Biological signals can be classified according to various characteristics of the signal, including the waveform shape, statistical structure, and temporal properties. Two broad classes of signals that are commonly encountered include continuous and discrete signals. The chapter also illustrates the basic components in a bioinstrumentation system. Sensors adapt the signal that is being observed into an electrical analog signal that can be measured with a data acquisition system. The data acquisition system converts the analog signal into a calibrated digital signal that can be stored. Digital signal processing techniques are applied to the stored signal to reduce noise and extract additional information that can improve understanding of the physiological meaning of the original parameter." @default.
- W3022158009 created "2020-05-13" @default.
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- W3022158009 date "2005-01-01" @default.
- W3022158009 modified "2023-09-27" @default.
- W3022158009 title "BIOSIGNAL PROCESSING" @default.
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- W3022158009 doi "https://doi.org/10.1016/b978-0-12-238662-6.50012-4" @default.
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