Biological Signal Analysis
Publisher: Bookboon
Published: 2013
ISBN-13: 9788776815943
Table of contents: title: Introduction; title: A Typical Biological Signal Analysis Application; title: Examples of Common Biological Signals; title: Contents of this book; title: References; title: Discrete-time signals and systems; title: Discrete-time signal; title: Sequences; title: Basic Discrete-time System Operations; title: Examples on sequence operations; title: Bibliography; title: Fourier transform; title: Discrete frequency; title: Discrete Fourier transform; title: DFT computation using matrix relation; title: Picket fence effect; title: Effects of truncation; title: Examples of using DFT to compute magnitude spectrum; title: Periodogram; title: References; title: Digital Filtering; title: Filter Specifi cations; title: Direct fi ltering in frequency domain; title: Time domain filtering; title: Simple FIR filters; title: FIR filter design using window method; title: IIR Filter design; title: References; title: Feature extraction; title: Simple features; title: Correlation; title: Spectral features – Power spectral density; title: Power spectral density derived features; title: Power spectral density computation using AR features; title: Hjorth descriptors; title: Time domain features; title: Joint time-frequency features; title: References; title: Classification methodologies; title: What is classifi cation?; title: Nearest Neighbour classifier; title: Artificial neuron; title: Multilayer-Perceptron neural network; title: MLP-BP classifi er architecture; title: Performance measures; title: Cross validation; title: Statistical measure to compare two methods; title: References; title: Applications; title: Ectopic beat detection using ECG and BP signals; title: EEG based brain-computer interface design; title: Short-term visual memory impairment in alcohol abusers using visual evoked potential signals; title: Identification of heart sounds using phonocardiogram; title: References; title: Endnotes