Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Punto Poste 5.49 € Punto Poste 5.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 € Corriere Bartolini 4.49 € Punto Bartolini 3.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Gait event detection based on EMG signals

Name: Gait event detection based on EMG signals
Brand: LAP Lambert Academic Publishing
SKU: 33398209
Price: 25.69 EUR
Availability: InStock
Author: Nazmi Nurhazimah Nazmi
ISBN: 9786202920940

Nazmi Nurhazimah Nazmi

Abdul Rahman Mohd Azizi Abdul Rahman

Lingua

Inglese

Libro In brossura

Codice Libristo: 33398209

Casa editrice LAP Lambert Academic Publishing, ottobre 2020

Exposure to physical therapy in rehabilitation shows a major interest in recent years for foot drop... Descrizione completa

Codice Libristo: 33398209

63 b

25.69 €

Magazzino esterno Inviamo tra 5-8 giorni

Fino a 30 giorni per il reso

I clienti hanno acquistato anche

O Lápis Mágico Lilian Balbino

In brossura

6.79 €

Methods Shenrok Jolns O. Genri

Adobe ePub DRM

0.89 €

Wieviel Erde braucht der Mensch? Leo N. Tolstoi

Rigido

4.99 €

Lo que la marea esconde MARIA ORUÑA

Rigido

18.79 €

Uczuciometr inspektora Krokodyla Isern Susanna

Rigido

8.29 €

Fred Herzog Fred Herzog

Rigido

29.89 €

El principio dialógico Martin Buber

CD audio

19.19 €

Ein Motiv aus dem Kalender Amerikanische Classic Cars (Puzzle) Rainer Grosskopf

Gioco

28.49 €

Nur jedem das Seine (Klavierauszug) Johann Sebastian Bach

Note

7.79 €

Le Petit Prince Antoine de Saint-Exupery

In brossura

4.39 €

Sixty Year Dream Washington Irving

In brossura

12.29 €

La lírica sacra de Lope de Vega y José de Valdivielso Arantza Mayo Fuertes

In brossura

33.69 €

Los descendientes del Musgo MOISES PASCUAL POZAS

In brossura

13.19 €

Basniobor 4 Tajemnice smoczego azylu Mull Brandon

In brossura

5.49 €

Histoire de France Depuis l'Etablissement de la Monarchie Jusqu'au Regne de Louis XIV. Tome 4 Velly-P-F

In brossura

29.49 €

Exposure to physical therapy in rehabilitation shows a major interest in recent years for foot drop prevention by using ankle foot devices (AFO). In classifying the stance and swing phases, electromyography (EMG) signals were used to assist in utilising the AFO. Even though this approach has successfully controlled the actuator, classification model of EMG signals during stance and swing phases have not yet been discovered. Thus, a model to classify the stance and swing phases of EMG signals was proposed in this study. A model was developed by extracting the features using time domain (TD) and feeding it into artificial neural network (ANN) classifier. It was observed that Levenberg-Marquardt training algorithm of ANN with five TD features performed better than other features with an average percentage of classification accuracy of 87.4%. The outcome of this study could enhance the development of AFO and implementations in real time application were suggested for future applications.