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Titlebook: Biosignal Acquisition and Processing; A Project-Based Lear Hugo Humberto Plácido da Silva,Hugo Filipe Silveir Textbook 2024 The Editor(s) (

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發(fā)表于 2025-3-21 19:55:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Biosignal Acquisition and Processing
期刊簡(jiǎn)稱A Project-Based Lear
影響因子2023Hugo Humberto Plácido da Silva,Hugo Filipe Silveir
視頻videohttp://file.papertrans.cn/189/188563/188563.mp4
發(fā)行地址Covers the basics of biosignals, from setting up a data acquisition device to basic biomechanics.Follows a strong Project-Based Learning (PBL) approach.Provides many exercises and proposed solutions s
學(xué)科分類Learning Materials in Biosciences
圖書封面Titlebook: Biosignal Acquisition and Processing; A Project-Based Lear Hugo Humberto Plácido da Silva,Hugo Filipe Silveir Textbook 2024 The Editor(s) (
影響因子.This textbook provides an introduction to common concepts in biosignal acquisition and processing, rooted in a Project-Based Learning (PBL). A series of exercises and corresponding solutions is described, with a focus on common problems that new entrants encounter in the undergraduate and graduate curriculums in biomedical engineering, psychophysiology, human-computer interaction, physiotherapy, and others developing work in the boundary between biosignal acquisition and other disciplines. Solutions include both hardware and software components, encompassing sensor design, biosignals acquisition using the Arduino and BITalino platforms, Python for signal processing, analysis, and knowledge extraction, including also HTML/CSS/JavaScript for user interface design. All the content is supported with rich graphics, source code, and other useful resources made available to the interested reader. This is an ideal book for undergraduate students and practitioners (across disciplines) who are studying or working in the field of biomedical signal acquisition, processing, and analysis..
Pindex Textbook 2024
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發(fā)表于 2025-3-21 23:54:59 | 只看該作者
https://doi.org/10.1007/b138163al units through a transfer function. Understand how to extract common metrics from a data stream using the Python programming language. Implement a basic real-time biofeedback system using online electromyographic (EMG) onset detection.
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Strange Particles and Bubble Chambers,on a power spectrum can offer, namely, the frequency composition of a time series; Explore some features typically extracted from the frequency domain; Establish a relation between the extracted features and physiological mechanisms, such as muscular fatigue.
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Strange Particles and Bubble Chambers,extraction. Understand how feature extraction can contribute to a better interpretation of the observed physiological processes. Identify the origin of electrocardiographic (ECG) data and which type of features can be extracted to analyze this biosignal.
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Strange Particles and Bubble Chambers,on a power spectrum can offer, namely, the frequency composition of a time series; Explore some features typically extracted from the frequency domain; Establish a relation between the extracted features and physiological mechanisms, such as muscular fatigue.
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Frequency Domain,on a power spectrum can offer, namely, the frequency composition of a time series; Explore some features typically extracted from the frequency domain; Establish a relation between the extracted features and physiological mechanisms, such as muscular fatigue.
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