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Computerized Data Acquisition and Signal Processing
1.
Data Acquisition Systems
(a) Vicon (uses Ethernet)
(b) SIMI (uses firewire, USB or National Instruments)
(c) BioAD2 & BioBench (uses National Instruments & Measurement Studio)
(d) APAS Analog (uses CIO)
(e) KinCom (uses LabMaster)
(f) Other: LabView (uses National Instruments), Global Lab (uses Data Translation),
TattleTale, Delsys EMGWorks3
2.
Data Formats
-binary numbers (ones complement, twos complement)
-conversion to floating point (12 bit or 16 bit)
-ASCII formats (space-delimited, comma-separated variables, tab-delimited)
-worksheet (.WK1, .XLS, .QPW, etc.)
-proprietary (Vicon’s .VAD, MAC’s .ANA/B/C, .C3D, APAS’s .ANA, etc.)
-public (.C3D, .WAV)
3.
Data Processing with BioProc2
-input formats (ASCII and many binary)
-output formats (ASCII and binary)
-graphics (single or multiple axes plus combinations)
-printed output
-ensemble averaging
4.
Data Smoothing Techniques
-moving average
-moving median
-least squares polynomial
-spline or piecewise polynomials
-digital filtering
-Fourier series reconstruction
5.
Fourier Analysis
-Fourier series
-Fourier Transform (.FTF)
-power spectrum
-accumulated power spectrum
6.
Digital Filtering
-type (Butterworth, Chebyshev etc.)
-low-pass, high-pass, band-pass, band-stop
-filter order, number of passes
-damping (critically or underdamped)
-padding points
Tasks:
1.
Use a signal generator to create a 100 Hz, 5 volts peak-to-peak (p-p), sine wave. Sample
10 seconds of the signal using three different data acquisition systems (Vicon, SIMI, BioAD2,
BioBench or APAS) at a sampling rate of 1000 Hz. View the signals graphically on each system
and save the data for transfer to a computer with BioProc2 installed. Check on an oscilloscope
that the generated signals meet specifications.
2.
Start the BioProc2 program and view each signal graphically. Confirm that the signals
meet specifications (amplitude, duration and frequency). Use Fourier analysis to confirm the
frequency of the signals; use cursors to confirm amplitudes and duration.
3.
Perform the following signal processing on any one of the three signals you collected.
-scale signal to 10 V p-p (multiply signal by 2)
-use cursors to isolate one complete cycle of the signal
-for a single cycle of the sine wave compute descriptive statistics and time integrals
-find area under first positive section of the sine wave
-reset cursors to display full signal
-compute and print a graph of the Fourier analysis of the signal
-generate a similar “digital” sine wave and determine phase-shift between generated
signal and any one of the acquired signals
-create a signal with pseudo-random white noise of amplitude 1/10th V
-create two duplicates of the acquired signal
-add white noise to a copy of the signal
-digitally filter a clean copy and the “noisy” signals with a low-pass filter set for a 100 Hz
cutoff and compare the amplitudes
-create a drift signal then add it to one of the sine waves and filter the result with a highpass filter set for 0.5 Hz
-export signals binary (.BPB) and tab-delimited ASCII (.Tab) formats
4.
Import signals into Quattro Pro or Excel spreadsheets.
-graph the clean signal, the filtered version and the filtered noisy signal
-print the graph
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