Biomedical signals

Prof. Dr. E. MARANI, Department Biomedical Signal and Systems, University Twente,... 

A main problem in all biomedical signal recording is the capacitive coupling of undesired signals into electrodes or interconnections. These so-called... 

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The biomedical signal sources can be broadly classified into continuous processes and discrete-time or point processes. Each of these types of signals could be deterministic (or predictable), stochastic (or random), fractal, or chaotic. The continuous processes are typically encountered in one of the following situations. 

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Biomedical data acquisition in real time has become more important in sports training and even in physical activities of everyday life as they can help the health or sport professionals supervise, monitoring and adjust the level and rhythm of the exercises. These data are usually acquired through specific equipment and are transferred manually to a computer to be analyzed allowing the adjustment in training to get the best performance. This system of data acquirement takes time, cost and can induce to errors since the data will be analyzed separately and not at the same time of the event/acquisition. In this way, there is a necessity for a system that is able to acquire the biomedical signals and send remotely to a computer where it will be analyzed in real time. 

The integrated engineering system and a reduced size device developed by Boothroyd et al. [27] allows biomedical data acquisition operating in an integrated way the biomedical signals are acquired by sensors and transmitted to a computer where the information is analyzed and converted into interpretative charts in real time. 

Figure 7.2 Measurements of biomedical signals from the human body using sensor technology.

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