This page was created and is updated by Sylvain Delplanque.
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I. Courses (Lecture Slides, Handouts, and Podcasts)
- Courses by Professor John J.B. Allen, Ph.D., University of Arizona (2021)
- Webinar by Ph.D. student William Ryan on cardiovascular psychophysiology
- An introduction to physiological measures in psychological research by Dr. Joanne Powell-Greig, Edge Hill University
II. Handbook and reference journal
- Handbook of Psychophysiology, 4th Edition (2017), available for UNIGE members at the library and that you can buy here
- Psychophysiological Recording. Stern, R., Ray, W., & Quigley, K.(2000-12-21). : Oxford University Press. here.
- International Journal of Psychophysiology
- Biological Psychology
III. Guidelines by type of measure or phenomenon
- Acceleration, velocity and distance from accelerometers
Application note from BIOPAC that describe how to derive velocity and distance from tri-axial accelerometers
E-handout on accelerometer data filtering and signal to noise ratio
- Cardiovascular measures (ECG, HRV, Impedance, Pulse, Laser Speckle Imaging)
- Electrodermal Activity (EDA)
- Electromyography (EMG)
- Physiological data in high magnetic fields (fMRI)
- Respiration measures (Thoracic/abdominal extension, Nasal Airlow, Airflow temperature)
- Goosebumps measurement
IV. How to choose and what for?
This page provide basic information about which measure to choose and what for!
V. Analysis Software
BIOPAC native software: Acqknowledge for peripheral measures
- For all psychophysiological signals: Ackqnowledge, CISA members, ask to install the software (email).
IMPORTANT NOTE: data recorded with the latest version of the software may not be immediately compatible with older versions (that you may use to analyze the data). If so, you have two options: * save your newly recorded data in older data files format * save your data in MATLAB format (option save as) and open the *.mat with your version of acqknowledge.
How to import Acqknowledge files into Matlab?
* Option 1: Use the "Save As" command in Acqknowledge software ans choose the matlab format, it creates a structure.
* Option 2: Use the "load_acq.m" function (does not work with latest Acqknowledge data format, see above)
* Option 3: Use the librairies for reading BIOPAC files (Python) at https://github.com/uwmadison-chm/bioread
Matlab toolboxes and other stand-alone software (alphabetic order)
- ANSLAB, a software program for state-of-the-art scientific analysis of physiological data in a psychophysiology laboratory. Download the presentation article here.
- Bio-SP, a biosignal-specific toolbox to analyze physiological signals (ECG, EDA, EMG, ICG). Presentation paper.
- PsPM : A matlab suite for Psycho-Physiological Modelling.
- PTB: Psychophysiology Tool Box (PTB) for Matlab.
- PhysioData Toolbox : a standalone MATLAB-based application aimed at creating an easy-to-use graphical environment for visualizing, segmenting and analyzing physiological data
- TEAP is a Matlab/Octave toolbox for emotion analysis using physiological signals (Github).
- WFDB Toolbox for MATLAB and Octave: a collection of functions for reading, writing, and processing physiologic signals and time series in the formats used by PhysioBank databases (among others).
Specific software and toolboxes are available for different measures (EDA, HRV etc). Please visit the corresponding sections for more information.
Brain Vision Analyzer for EEG and ERPs
- If you are a member of the CISA, you have access to Brain Vision Analyzer. To install the Software, please contact the IT Manager.
- Brainstorm is a collaborative, open-source application dedicated to the analysis of brain recordings:
MEG, EEG, fNIRS, ECoG, depth electrodes and animal electrophysiology.
- CARTOOL is mainly an EEG, ERP and inverse solutions tool, with some fast and powerful 3D display capabilities, plus other goodies inside it.
- EEGLAB is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data.
- ERP PCA. A Matlab toolkit for analyzing EEG/ERP datasets, especially using Principal Component Analysis (PCA).
- Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related brain potentials (ERPs).
VI. Video Tutorials (from private companies)
VII. Psychophysiological database
PhysioNet offers free web access to large collections of recorded physiologic signals (PhysioBank) and related open-source software (PhysioToolkit). PhysioBank databases are made available under the ODC Public Domain Dedication and License v1.0.
- MAHNOB-HCI: 30 participants were shown fragments of movies and pictures, while monitoring them with 6 video cameras, a head-worn microphone, an eye gaze tracker, as well as physiological sensors measuring ECG, EEG (32 channels), respiration amplitude, and skin temperature.
EATMINT: multi-modal and multi-user recordings of affect and social behaviors in a collaborative setting. The following signals were recorded for 30 dyads (i.e. 60 participants) : ECG, EDA, blood volume pulse, respiration and skin temperature; eye-movements (eye-tracking), facial expressions, software actions logs;speech signals and transcripts.
DEAP: multimodal dataset for the analysis of human affective states. The electroencephalogram (EEG) and peripheral physiological signals of 32 participants were recorded as each watched 40 one-minute long excerpts of music videos.
RECOLA: database consists of 9.5 hours of audio, visual, and physiological (electrocardiogram, and electrodermal activity) recordings of online dyadic interactions between 46 French speaking participants, who were solving a task in collaboration.
MMDB: multimodal (video, audio, and physiological) recordings of the social and communicative behavior of toddlers.
Karl Wuensch's Statistical Help Page, East Carolina University, Department of Psychology
Sample size calculation at http://www.sample-size.net/
G*Power, a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests, z tests and some exact tests.
JAMOVI: free and open statistical software to bridge the gap between researcher and statistician
IX. Brain and Behavior Laboratory equipment
The BBL is fully equipped with different BIOPAC systems
- A MP150 system dedicated to MRI experiments
- A MP150 in the psychophysio Lab
- A MP150 Bionomadix (i.e., wireless) in the Virtual Reality Room
- A MP36 portable system in the seminar room
- Four Empatica and 3 Polar watches
BIOPAC Hardware and Software Guides contain all the information you need to setup the amplifiers, gain, filters and also how to perform basic and advanced signal analyses. You may also have a look at BIOPAC on youtube
Comparison between BIOPAC system and Empatica watches (performed by Rémi Neveu)
- Electroencephalograpy (EEG) and surface Electromyography (EMG): BIOSEMI
- The BBL is not equipped with any impedance cardiography amplifier but there is one available at Unimail in Pr. David Sander's Lab. If you are interested, please contact Sylvain Delplanque.
Presentation Software available in the Psychophysio Lab
- E-Prime, Psychtoolbox and Cogent. PLEASE read this important note
Contact for the Psychophysio Lab
Psychophysiology Representative: Sylvain Delplanque, Tel: (022.37) 90905, email.