Smart Wearable Systems: ECG Monitoring

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Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Delves into ECG data analysis, waveform interpretation, and physiological parameter measurement using software tools and practical examples.

Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.

Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.

Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.

Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.

Explores neural signal processing methods, fMRI designs, GLM analysis, and quality control.

Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.