The Implementation OF Prosthetic Index Finger Based On EMG Signals

نویسندگان

  • Amanpreet Kaur
  • Gagandeep Kaur
چکیده

The main goal of this paper is to provide an integrated design of the artificial index finger and to present the result of human like behavior. The big advantages of the prosthetic index finger are their incredible small size, volume and weight, their low cost .This paper describes our implementation of one finger of a future biomechatronic hand and remote control .This index finger captures the muscle activity like human index finger. The purpose of this paper is to illustrate the methodology for EMG signal analysis to provide efficient and effective ways of understanding the signal and its nature. Keybords:

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Prosthetic Hand Control

This paper presents a five-fingered underactuated prosthetic hand controlled by surface electromyographic (EMG) signals. The prosthetic hand control part is based on an EMG motion pattern classifier which combines variable learning rate (VLR) based neural network with parametric Autoregressive (AR) model and wavelet transform. This motion pattern classifier can successfully identify flexion and...

متن کامل

Prediction of Above-elbow Motions in Amputees, based on Electromyographic(EMG) Signals, Using Nonlinear Autoregressive Exogenous (NARX) Model

Introduction In order to improve the quality of life of amputees, biomechatronic researchers and biomedical engineers have been trying to use a combination of various techniques to provide suitable rehabilitation systems. Diverse biomedical signals, acquired from a specialized organ or cell system, e.g., the nervous system, are the driving force for the whole system. Electromyography(EMG), as a...

متن کامل

Proof of Concept of an Online EMG-Based Decoding of Hand Postures and Individual Digit Forces for Prosthetic Hand Control

INTRODUCTION Options currently available to individuals with upper limb loss range from prosthetic hands that can perform many movements, but require more cognitive effort to control, to simpler terminal devices with limited functional abilities. We attempted to address this issue by designing a myoelectric control system to modulate prosthetic hand posture and digit force distribution. METHO...

متن کامل

Feature Extraction for Emg Based Prostheses Control

The control of prosthetic limb would be more effective if it is based on Surface Electromyogram (SEMG) signals from remnant muscles. The analysis of SEMG signals depend on a number of factors, such as amplitude as well as timeand frequency-domain properties. Time series analysis using Auto Regressive (AR) model and Mean frequency which is tolerant to white Gaussian noise are used as feature ext...

متن کامل

A Comparison of EMG and EEG Signals for Prostheses Control using Decision Tree

In spite of availability of various approaches, the control of prosthetic limb would be more effective if it is based on Electromyogram (EMG) signals from remnant muscles and Electroencephalogram (EEG). The analysis of these signals depends on various factors such as amplitude, time and frequency domain properties. EEG signals are obtained from the experiments conducted in Biomedical laboratory...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012