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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advanced Biosignal Processing

Advanced Biosignal Processing

Nait-Ali, Amine

Paperback

Medical ReferenceTechnology & EngineeringGeneral Mathematics

ISBN10: 3642100457
ISBN13: 9783642100451
Publisher: Springer Nature
Published: Oct 19 2010
Pages: 378
Weight: 1.22
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English
Generally speaking, Biosignals refer to signals recorded from the human body. They can be either electrical (e. g. Electrocardiogram (ECG), Electroencephalogram (EEG), Electromyogram (EMG), etc. ) or non-electrical (e. g. breathing, movements, etc. ). The acquisition and processing of such signals play an important role in clinical routines. They are usually considered as major indicators which provide clinicians and physicians with useful information during diagnostic and monitoring processes. In some applications, the purpose is not necessarily medical. It may also be industrial. For instance, a real-time EEG system analysis can be used to control and analyze the vigilance of a car driver. In this case, the purpose of such a system basically consists of preventing crash risks. Furthermore, in certain other appli- tions, asetof biosignals (e. g. ECG, respiratorysignal, EEG, etc. ) can be used toc- trol or analyze human emotions. This is the case of the famous polygraph system, also known as the lie detector, the ef ciency of which remains open to debate! Thus when one is dealing with biosignals, special attention must be given to their acquisition, their analysis and their processing capabilities which constitute the nal stage preceding the clinical diagnosis. Naturally, the diagnosis is based on the information provided by the processing system.

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