This is the introductory clip to a series of youTube videos which show you from first principles how to record biosignals and trains you up to distinguish noise from the real signals. You will see that often noise is "sold" as a biosignal, especially EEG and with the help of these clips you can critically evaluate results measured by others. The web page http://biosignals.berndporr... is the "glue" between these clips, provides background information, literature and shows you also the circuit diagram of the amplifier. Presenter: Cat MacLeod
This module shows you how to design and assemble a bio-amplifier component by component and then how to use it to measure ECG, EEG and EMG. The web site http://biosignals.berndporr.me.uk provides the "glue" between these clips and contains the circuit diagrams. Bernd Porr ---- Disclaimer: use this information at your own risk. The bio-amplifier must be connected to an AD card which is isolated from mains. Never connect the bio-amplifier directly to equipment which is powered from mains.
These video clips show you how to measure the 12 standard leads of an ECG/EKG and how to construct the mean electrical vector. We start from first principles and aim to give you a deep understanding of the measurement process including the artefacts generated. Presenter: Vasso Georgiadou
Here we show how to measure an EEG from first principles by using a differential amplifier. In the second clip we show how how difficult it is to record a clean EEG and go through the possible artefacts. The third clip then shows how to overcome the problems with artefacts: we present a stimulus repeatedly and average over it which is called visually evoked potential.
This is a collection of clips where the EEG is used to control, for example, a wheelchair, a helicopter or cat ears. After having watched our clips about biosignal measurements and artefacts make up your mind if it's really EEG or perhaps just muscle activity we see.
There are not just electrical bio-signals but also other modalities, for example light, pressure, force or temperature. Some of them can be used as an alternative to electrical biosignals (EMG vs acceleration) and some are rather unique (body temperature, blood pressure). This playlist demonstrates that the choice or combination of different sensors will contribute greatly to the success of an experiment.
This playlist shows you how to use MATLAB (or it's free version OCTAVE) to display and process your biosignals. As an instructional example we use the aVF recording which is contaminated by 50Hz mains and clean it up step by step. We first plot the data with the right scaling in the timedomain and frequency domain, filter out the 50Hz and then also detect the heart rate. Having watched these clips will enable you to master your processing tasks with this powerful scripting language.