lecture ecg noise
DESCRIPTION
ECG biometric technology is still very much in the research phase, and there are many concerns which remain to be investigated. To achieve accurate real time extraction of the identifying features from an ECG trace the effects of noise need to be well understood. Noise introduces artifacts which make it difficult to extract the desired identification data. In this paper the primary noise sources are analyzed and their characteristics identified.TRANSCRIPT
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Noise in ECG and how Noise in ECG and how to deal with itto deal with itDjordjeDjordje Popovic, MDPopovic, MD
OutlineOutline
Frequency characteristics of ECGFrequency characteristics of ECG
Most common sources of noise, Most common sources of noise, characteristics and examplescharacteristics and examples
How to deal with some of them (filtering How to deal with some of them (filtering techniques)techniques)
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Frequency characteristics of Frequency characteristics of normal ECGnormal ECG
Sources of noiseSources of noise
Power line interferencePower line interferenceElectrode contact noise, baseline drift and Electrode contact noise, baseline drift and motion artifactsmotion artifacts
EMG from the chest wallEMG from the chest wall
Instrumentation noiseInstrumentation noiseElectrosurgical noiseElectrosurgical noise
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Power line interferencePower line interference
60 Hz & multiples60 Hz & multiplesUp to 50% of QRS amplitudeUp to 50% of QRS amplitude
SolutionsSolutions
Notch filter at 60 HzNotch filter at 60 Hz
Comb filterComb filterSampl.rateSampl.rate=n x 60 Hz=n x 60 HzY(iY(i)=)=X(i)X(i)--X(iX(i--nn))
0 0.02 0.04 0.06 0.08 0.1 0.12-250
-200
-150
-100
-50
0
Frequency (kHz)
Mag
nitu
de (d
B)
Magnitude Response (dB)
0 0.05 0.1 0.15 0.2 0.25-70
-60
-50
-40
-30
-20
-10
0
10
Frequency (kHz)
Mag
nitu
de (d
B)
Magnitude Response (dB)
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Adaptive filtering of power humAdaptive filtering of power hum
Electrode contact noiseElectrode contact noise
Loose contactLoose contact
Motion artifactMotion artifact
Baseline driftBaseline driftdue to respirationdue to respiration
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SolutionsSolutions
Typically <0.5 Hz signals (except for the Typically <0.5 Hz signals (except for the abrupt shifts due to motion)abrupt shifts due to motion)
HighHigh--pass filtering with cutpass filtering with cut--off frequency at off frequency at ~ 0.5Hz, realized in hardware or software~ 0.5Hz, realized in hardware or software
Abrupt motion artifact cancellationAbrupt motion artifact cancellation
Adaptive recurrentAdaptive recurrentfilteringfiltering
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EMGEMG
Amplitude Amplitude ~ 10% ECG~ 10% ECG
Broadband Broadband (20 (20 –– 1000 Hz1000 Hz
SolutionsSolutions
LowLow--pass filter with cutpass filter with cut--off frequency off frequency >40Hz>40HzAdaptive filter with Adaptive filter with aVfaVf as primary and as primary and
aVraVr--aVlaVl as referenceas reference
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SummarySummary
Many different sources of noise, frequency Many different sources of noise, frequency content of some of them overlaps with content of some of them overlaps with ECGECG
Limited capabilities of linear filteringLimited capabilities of linear filtering
Final solution dependent on each Final solution dependent on each particular case, and our goalsparticular case, and our goals
Questions?Questions?
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Use of adaptive filters in Use of adaptive filters in ECG processingECG processing
DjordjeDjordje Popovic, MDPopovic, MD
Structure of an AFStructure of an AF
S1/S2 or n1/n2 need not be the same, only correlated in some wayS1/S2 or n1/n2 need not be the same, only correlated in some way !!!!
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Noise cancellationNoise cancellation
Power line interferencePower line interference Baseline driftBaseline drift
EMG cancellationEMG cancellation
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Arrhythmia detection Arrhythmia detection
Goal: to cancel normal QRS complexes, Goal: to cancel normal QRS complexes, and to analyze the signal that remains and to analyze the signal that remains after the cancellationafter the cancellation
Detection of Detection of ectopicectopic beatsbeats
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PP--wave analysiswave analysis
AtrialAtrial fibrillation and/or flatterfibrillation and/or flatter