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R Sai Krishna200701168BY Srinath Reddy200701174
Electromyography (EMG) Signals Instrumentation Interfacing EMG Signal Processing Applications
Electromyography (EMG) is the study of the electrical signals associated with the activation of muscle.Its originated in 1792 from work of Galvani.
5
Myoelectric Energy Detection
Motor units control groups of muscle fibers
Myoelectric energy produced as motor units activate
A single moving dipole associated with changes in membrane potential.
The moving dipole is the basis for EMG, and triggers the contraction process.
Amplitude (mV) 0.01 - 5Primary Freq Range (Hz) 20 - 200Min Sampling Rate (Hz) 400Preferred Sample Rate (Hz) 1000
Input
1000 timesAmplifier
High Pass Filterfor DC voltage rejection
Low Pass Filterfor noise rejection
Voltage Adderfor AD conversion
Analog Switch for op-amp drift prevention
Circuit design for signal acquisition
Electrode and Amplifier Design
Differential amplification
Electrode stability
Improved quality of electrodes
Ambient (electromagnetic) noise is constant
System subtracts two signals
Resultant difference is amplified
Cancels out, or rejects, common components (noise) of the two signals coming from the active electrodes
Results in amplification of the differencebetween the signals
External noise may be reduced by using filters.
Amplifier will pick up frequencies produced by electrical activity in the muscle
Signal-to-noise ratio
Ratio of energy of EMG signal divided by energy of noise signal
Distortion of the signal
EMG signal should be altered as minimally as possible for accurate representation
Amplitude is somewhat random in nature.
Frequency range of 0 – 20 Hz is especially unstable.
Electromagnetic radiation sources.
Essentially impossible to avoid.
Dominant frequency: 60 Hz.
Amplitude: 1 – 3x EMG signal.
Generated by all electronics equipment.
Frequency range: 0 – several KHz.
Reduced by using high quality components
Types of Electrodes
Inserted
Fine-wire (Intra-muscular)
Needle
Surface
Advantages Extremely sensitive
Record single muscle activity
Disadvantages Extremely sensitive
Requires medical personnel, certification
Advantages Quick, easy to apply
Minimal discomfort
Disadvantages Generally used only for superficial muscles
Cross-talk concerns
No standard electrode placement
Electrode Placement Away from tendon
Away from outer edge of muscle
Closer to other musculature
Orientation parallel to muscle fibers
More accurate conduction velocity
As far away as possible from recording electrodes
Electrically neutral tissue
Bony prominence
Good electrical contact
Larger size
Good adhesive properties
Clinical applications like Bio-Feedback instruments
Cerebral Palsy
In Multi Touch operating systems using only Muscle operations
Motion Tracking
Indicator for muscle activation/deactivation
Relationship of force/EMG signal
Use of EMG signal as a fatigue index
Electronic or electromechanical instruments that accurately measures, processes, and provides feedback via auditory or visual signals
Used to help patient develop greater voluntary control of either
Neuromuscular relaxation, or
Muscle re-education following injury
Different sensitivity levels are used like 1 µV, 10 µV, or 100 µV.
A high sensitivity means the biofeedback unit is sensitive enough to detect the smallest amounts of electrical activity
Computer gamesStrengthen agonist
muscle groupsRelax/inhibit
antagonist muscle groups
Gait training
Patient able to make appropriate, small changes in performance which are immediately noted and rewarded
Eventually larger changes, or improvements, in performance can be accomplished
Most common type of biofeedback used in athletic training
To determine the electrical activity in the muscle, all negative waves are flipped upward toward the positive pole
The rectified EMG signal can be smoothed Eliminates the peaks and valleys which are produced
with a changing electrical signal
Once smoothed, the EMG signal may be integrated by measuring the area under the curve for a specified period of time
Microsoft Patented EMG Technology to Allow Touch Technology Using Only Muscle Operations.
It is studying the feasibility of muscle-computer input.
It aims at building a wireless module for sending and receiving inputs and outputs.
Biceps brachii ROM of an elbow joint
0~145 degrees
Deltoideus
ROM of a shoulder joint
0~180 degrees
Optimization Process
Recursive-least-squares method is applied to the pre-angle for self-adaptation.
The tap-weights are adjusted by itself during the optimization procedures.
Applications Master (human) arm device for tele-operation Prosthetic arm for an amputee.
NoraxonMotion Lab SystemsDelsys
Basmajian JV, De Luca CJ. Muscles Alive: their functions revealed by electromyography (fifth ed.). Williams & Wilkins, Baltimore, Maryland, 1985
Cram JR, Kasman GS. Introduction to surface electromyography. Aspen Publishers, Inc. Gaithersburg, Maryland, 1998
De Luca CJ: Surface electromyography: detection and recording. DelSys, Inc., 2002
De Luca CJ: The use of surface electromyography in biomechanics. J App Biomech 13: 135-163, 1997
MyoResearch: software for the EMG professional. Scottsdale, Arizona, Noraxon USA, 1996-1999
Thank You!