1.

Record Nr.

UNINA990008475040403321

Autore

Arena, Giuseppe Antonio <1935-1995>

Titolo

Stato e diritto in Giuseppe Palmieri / Giuseppe Antonio Arena

Pubbl/distr/stampa

Napoli, : Liguori, ©1968

Descrizione fisica

127 p. ; 25 cm

Disciplina

340.09

Locazione

DFD

BFS

Collocazione

XI D A 8

MAR / ARE 4

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910366601803321

Titolo

Biomedical Signal Processing : Advances in Theory, Algorithms and Applications / / edited by Ganesh Naik

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020

ISBN

981-13-9097-5

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (X, 432 p. 237 illus., 125 illus. in color.)

Collana

Series in BioEngineering, , 2196-8861

Disciplina

610.28

Soggetti

Biomedical engineering

Signal processing

Image processing

Speech processing systems

Pattern perception

Computational intelligence

Computer science - Mathematics

Artificial intelligence

Biomedical Engineering and Bioengineering

Signal, Image and Speech Processing

Pattern Recognition

Computational Intelligence

Computational Mathematics and Numerical Analysis



Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations -- Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots -- Force Myography and its Application to Human Locomotion -- Comparison of Independence of Triceps Brachii and Biceps Brachii between Paretic and Non-Paretic side during different MVCs–A case study -- An EEG brain-computer interface to classify motor imagery signals.

Sommario/riassunto

This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing. .