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        <dc:date>2023-02-27T21:16:19+00:00</dc:date>
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        <title>lab_devices</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_devices?rev=1677532579&amp;do=diff</link>
        <description>Devices 101

Goal: See how to operate signal acquisition devices

Prepare for the lab

	*  Take a look at the manuals:
		*  [biosignalsplux Explorer Manual] -- Section 2 is the most important (our lab is equipped with 4-Channel Hubs)
		*  [OpenSignals Manual] -- Sections 2 and 3.1-3.2 are the most important ones for us</description>
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        <dc:date>2023-03-17T16:15:42+00:00</dc:date>
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        <title>lab_ecg</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_ecg?rev=1679069742&amp;do=diff</link>
        <description>Electrocardiography (ECG)

Goal: Learn the basics of the ECG signal analysis

Prepare for the lab

	*  Chapter 8 on Cardiovascular Psychophysiology in: John T. Cacioppo, Louis G. Tassinary, Gary G. Berntson - Handbook of Psychophysiology (Cambridge University Press, 2007). The most important parts:</description>
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        <dc:date>2023-03-17T16:15:55+00:00</dc:date>
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        <title>lab_eda</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_eda?rev=1679069755&amp;do=diff</link>
        <description>Electrodermal activity (EDA/GSR)

Goal: Learn about the components of the EDA signal and its key characteristics

Prepare for the lab

	*  Chapter 7 on The Electrodermal System in: John T. Cacioppo, Louis G. Tassinary, Gary G. Berntson - Handbook of Psychophysiology (Cambridge University Press, 2007). The most important parts:</description>
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        <dc:date>2025-06-03T09:11:20+00:00</dc:date>
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        <title>lab_eeg</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_eeg?rev=1748941880&amp;do=diff</link>
        <description>Electroencephalography (EEG)

Goal: How to measure the brain activity using scalp recordings?

Prepare for the lab

	*  Chapter 3 on Electroencephalography in: John T. Cacioppo, Louis G. Tassinary, Gary G. Berntson - Handbook of Psychophysiology (Cambridge University Press, 2007). Most important parts:</description>
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        <dc:date>2023-03-17T16:16:08+00:00</dc:date>
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        <title>lab_emg</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_emg?rev=1679069768&amp;do=diff</link>
        <description>Electromyography (EMG)

Goal: Learn how the muscle signal is collected and processed

Prepare for the lab

	*  Chapter 12 on Surface Electromyography in: John T. Cacioppo, Louis G. Tassinary, Gary G. Berntson - Handbook of Psychophysiology (Cambridge University Press, 2007). The most important parts:</description>
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        <dc:date>2023-03-17T14:22:50+00:00</dc:date>
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        <title>lab_filters</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_filters?rev=1679062970&amp;do=diff</link>
        <description>Filtering

Goal: Learn the basics of Filtering

Prepare for the lab

	*  Filters: When, Why, and How (Not) to Use Them
	*  OPTIONAL (mostly redundant): Chapter 14 from The Scientist and Engineer's Guide to Digital Signal Processing ([PDF version])

Materials

	*  Q&amp;A Session
		*  What is an impulse response, a step response and a frequency response of a filter?
		*  Do you know what the task of Low-Pass, High-Pass, Band-Pass and Band-Reject filters is?</description>
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        <dc:date>2025-05-05T16:02:23+00:00</dc:date>
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        <title>lab_impl</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_impl?rev=1746460943&amp;do=diff</link>
        <description>Implementation

Goal: Learn that timing and synchronization are challenging, and run the first experimental procedure

Prepare for the lab

	*  Read about the stimulus presentation and order effects (This is a part of the eye tracker tutorial, but the know-how is generic. In addition, it has color pictures</description>
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        <dc:date>2023-02-27T21:13:55+00:00</dc:date>
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        <title>lab_intro</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_intro?rev=1677532435&amp;do=diff</link>
        <description>Introduction to PSAW &amp; Python

Goal: During the first class we will get some general ideas of what this is all about.

Prepare for the lab

	*  Come with an open mind! This is the first class - nothing more is needed :-)

Materials

	*  Lecture: [Introduction to PSAW]
	*</description>
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        <dc:date>2023-01-25T10:23:25+00:00</dc:date>
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        <title>lab_measurement</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_measurement?rev=1674642205&amp;do=diff</link>
        <description>Psychophysiological measurement

Goal: Learn the basics of Digital Signal Processing (Analog-to-Digital conversion, Fourier transform)

Prepare for the lab

	*  Chapter 3 from The Scientist and Engineer's Guide to Digital Signal Processing ([PDF version])

Materials

	*  Q&amp;A Session:
		*  What is sampling?
		*  What is quantization?
		*  What is aliasing?</description>
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        <dc:date>2024-03-04T16:39:02+00:00</dc:date>
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        <title>lab_methods</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_methods?rev=1709570342&amp;do=diff</link>
        <description>Experimental research

Goal: Become familiar with the key elements of the experimental research design and prepare your first experimental study plan!

Prepare for the lab

	*  Short introduction into key concepts in experimental research:
		*  Research Design. A Step-by-Step Guide with Examples
		*</description>
    </item>
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        <dc:date>2025-03-31T15:04:13+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>lab_ml</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_ml?rev=1743433453&amp;do=diff</link>
        <description>Machine Learning 101

Goal: Answer the question: What Machine Learning is and how to use it?

Prepare for the lab

	*  All models are wrong
	*  Supervised Machine Learning -- this is a fairly comprehensive but relatively easy introduction to machine learning. It's not necessary to memorize everything - just get a general idea of what machine learning is and what the basic techniques are</description>
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        <dc:date>2026-04-01T10:02:38+00:00</dc:date>
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        <title>lab_stats</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_stats?rev=1775037758&amp;do=diff</link>
        <description>Statistics 101

Goal: Review of core statistics for psychophysiology research

Prepare for the lab

	*  Recall basic statistical concepts (from high school or from statistics at university or from Wikipedia: Statistics and Statistical_hypothesis_testing). As a guideline, you can follow the keywords included with the Q&amp;A session below.</description>
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        <dc:date>2025-04-08T08:18:55+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>lab_timeseries</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:lab_timeseries?rev=1744100335&amp;do=diff</link>
        <description>Time series analysis

Goal: How does time series analysis differ from other machine learning models?

Prepare for the lab

	*  Read the Chapter 2. Time series graphics, Chapter 7. Time series regression models and Chapter 9. ARIMA models from Forecasting: principles and practice to get the general idea of core concepts related to time series analysis.
		*  The textbook contains code in R, so you don't need to pay much attention to it - we'll be doing analogous things in Python during the lab.</description>
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        <dc:date>2026-05-11T20:42:07+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>start</title>
        <link>https://wiki.iis.uj.edu.pl/courses:psaw:start?rev=1778532127&amp;do=diff</link>
        <description>Psychophysiological Signals Analysis Workshop (PSAW)

	*  Course: Warsztat z analizy sygnałów psychofizjologicznych (WFAIS.IF-X218.0)
	*  Coordinator: dr inż. Krzysztof Kutt

Schedule
  Block      No.    Date         Materials   INTRO       1.    03.03.2026   Introduction to PSAW &amp; Python (dr Maciej Szelążek)</description>
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