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Designing Eeg Experiments For Studying The Brain Design Code And Example Datasets 1st Edition Aamir Saeed Malik And Hafeez Ullah Amin Auth

  • SKU: BELL-6614606
Designing Eeg Experiments For Studying The Brain Design Code And Example Datasets 1st Edition Aamir Saeed Malik And Hafeez Ullah Amin Auth
$ 35.00 $ 45.00 (-22%)

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Designing Eeg Experiments For Studying The Brain Design Code And Example Datasets 1st Edition Aamir Saeed Malik And Hafeez Ullah Amin Auth instant download after payment.

Publisher: Academic Press
File Extension: PDF
File size: 11.7 MB
Pages: 294
Author: Aamir Saeed Malik and Hafeez Ullah Amin (Auth.)
ISBN: 9780128111413, 0128111410
Language: English
Year: 2017
Edition: 1st Edition

Product desciption

Designing Eeg Experiments For Studying The Brain Design Code And Example Datasets 1st Edition Aamir Saeed Malik And Hafeez Ullah Amin Auth by Aamir Saeed Malik And Hafeez Ullah Amin (auth.) 9780128111413, 0128111410 instant download after payment.

Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets details the design of various brain experiments using electroencephalogram (EEG). Providing guidelines for designing an EEG experiment, it is primarily for researchers who want to venture into this field by designing their own experiments as well as those who are excited about neuroscience and want to explore various applications related to the brain. The first chapter describes how to design an EEG experiment and details the various parameters that should be considered for success, while remaining chapters provide experiment design for a number of neurological applications, both clinical and behavioral. As each chapter is accompanied with experiment design codes and example datasets, those interested can quickly design their own experiments or use the current design for their own purposes. Helpful appendices provide various forms for one’s experiment including recruitment forms, feedback forms, ethics forms, and recommendations for related hardware equipment and software for data acquisition, processing, and analysis.

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