BioSignal Acquisition Processing and Classification Techniques

RM50.00

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Description

This book serves as an accessible guide, specifically designed to provide newcomers, especially undergraduate students, with a solid understanding of biosignal essentials. It begins by introducing the importance of biosignals and then delves into several essential topics. The book explains biosignal acquisition methods, focusing on ECG, EEG, and EMG signals, and guides readers on artifact removal through filtering techniques. It further explores biosignals in both the time and frequency domains, offering insights into temporal patterns and frequency components. Lastly, on pattern classification techniques, the book empowers readers to effectively categorize biosignals. Practical application is illustrated through examples, ensuring a comprehensive understanding. With its engaging approach, ‘Biosignal Acquisition, Processing, and Classification Techniques’ encourages readers to explore deeper into this captivating field, providing a strong foundation for biosignal analysis.

Research Ecosystem
Universiti Teknologi Malaysia UTM Nexus - Research & Innovation

Office of Deputy Vice Chancellor (Research & Innovation)

DVCRI Profile Johor Bahru Office Kuala Lumpur Office

Higher Institution Centre of Excellence (HI-COE)

Advance Membrane Technology Research Centre - AMTEC Institute of Noise & Vibration - INV Wireless Communication Centre - WCC

Research Institute

Centre of Excellence (COE)

Institute of High Voltage & High Current - IVAT UTM-MPRC Institue for Oil & Gas - IFOG Centre for Artificial Intelligence & Robotics - CAIRO Centre for Engineering Education - CEE Centre for Advanced Composite Materials - CACM Innovation Centre in Agritechnology for Advanced Bioprocessing - ICA Institute of Bioproduct Development - IBD

Service Entity

Research Management Centre - RMC Penerbit UTM Press Centre for Community & Industry Network - CCIN Innovation & Commercialisation Centre - ICC University Laboratory Management Centre - PPMU Institut Sultan Iskandar - UTM-ISI

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