Why Digital Signal Processing (DSP) in biomedical applications?

Why digital signal processing (DSP) in biomedical applications?

* Signals
- Easier Permanent Storage
- Higher Speed of transmission
- Standard storage/transmission for images, time series, text, etc...

* Systems
- Low cost of microprocessors, microcomputers, storage devices
- Easily re-configurable, programmable,
- Easier modular development (standard data transfer protocols)

General Signal Classification:

Deterministic: Each value uniquely specified by math expression

a: Periodic: Completely describe by a single finite period
                    * Can be expressed as sum of sine waves.
b: Finite-duration: Specified only in finite time interval
c: Transient: Non-Zero only in finite interval. Constant elsewhere
d: Almost-Periodic: Composed of sinusoids not harmonically related.

Non-Deterministic: Not completely predictable. Described by averages, standard deviations and other statistical properties.

Continuos / Discrete Classification of Signals (in time)

Analog-To-Digital (A/D) conversion:

T: Sampling Interval (seconds)
Fs = 1/T: Sampling Frequency (Hertz)

Note that x(kT) = x(kT) + e(kT)  ; e(kT) = Quantization error.

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