Labs for Quanser QNET Myoelectric Add-On Board

by Quanser Inc.

These labs along with the Quanser QNET Myoelectric add-on board introduce students to measurement, data analysis, and controls in biomedical engineering. In hands-on activities, students acquire, condition, and analyze electromyographic signals, and use a variety of filtering and control methods to control a servo based on the contraction of muscles. This includes experimenting with basic signal processing functions and control schemes, including filtering, rectification, integration, deadzone, and hysteresis. These activities are directly related to common EMG applications, such as myoelectric prosthetics, bioinstrumentation, diagnostic evaluation of muscle and nerve disorders, assisted control in wheelchairs, and unvoiced speed recognition.

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Details

LEARNING OBJECTIVES

Student will learn to acquire, condition, and analyze electromyographic data
Students will learn how to control a servo based on the contraction of muscles, using filtering and control methods

COURSE ALIGNMENT

Level	University
Topic	Data Acquisition and Control for BME
Style	Laboratory
Prerequisite Skills	Introductory LabVIEW knowledge, introductory physics and electronics

Included Course Labs

EMG SENSOR SET UP

The electromyogram acquired from the EMG is very qualitative and depends on teh sensor set up. In this lab, students will learn the basics of acquiring an EMG signal using ELVISmx.

SIGNAL ANALYSIS

Students will learn how to process the acquired signal using a linear envelope. Using provided VI's students will examine the power spectrum response when muscles are contracted and relaxed.

LINEAR ENVELOPE

Students will implement a linear envelope and adjust the cutoff frequency to optimize the response. Students will have to evaluate the trade offs when setting the cutoff frequency.

SERVO DIRECTION CHANGE

In this section students will use the EMG signal in a control algorithm to open and close the clamp on the servo. First students control the direction of the servo by implementing a zero-order hold algorithm to reconstruct digital signals.

SERVO POSITION CONTROL

After configuring the servo direction control, students will set the servo position control algorithm. Here students are introduced to PWM servo control and using a dead zone to remove small amplitude signals.

FULL SERVO CONTROL

Students will combine both position and direction control in this portion of the lab. This section will allow students to evaluate whether or not their design is suitable to control a myoelectic prosthesis.

Requirements

NI ELVIS II/II+

The NI Educational Laboratory Virtual Instrumentation Suite (NI ELVIS) is a versatile laboratory platform that enables educators to teach over 20 different courses across science and engineering departments. The NI ELVIS integrates 12 common lab instruments including an oscilloscope, function... Learn more

LabVIEW

LabVIEW is systems engineering software for applications that require test, measurement, and control with rapid access to hardware and data insights. Learn more

Quanser QNET Myoelectric Add-On Board

This add on board for the NI ELVIS allows students to explore concepts in biomedical engineering. Using the principles of electromyography (EMG), students learn to control a servo motor from the contraction of muscles. EMG applications include myoelectric prosthetics, bioinstrumentation, diagnostic... Learn more

DETAILED REQUIREMENTS

Required Software

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LabVIEW 2011 or later (Requires license)
NI DAQmx 9.3.5 or later
NI ELVISmx 4.3 or later
LabVIEW Control Design and Simulation Module 2011 or later (Requires license)

Required Hardware

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NI ELVIS View Specifications
Quanser QNET Myoelectric Add-On Board - User manual is included in the main download above

Resources

INSTRUCTOR RESOURCES

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