effects of heart position on the body-surface ecg
DESCRIPTION
Effects of Heart Position on the Body-Surface ECG. Rob MacLeod, Quan Ni, Bonnie Punske, Phil Ershler, Bulent Yilmaz, Bruno Taccardi. Cardiovascular Research and Training Institute University of Utah. Sigler (1938) body position Olbrich & Woodward-Williams (1953) body position - PowerPoint PPT PresentationTRANSCRIPT
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CVRTICVRTI
Effects of Heart Position on the Body-Surface ECG
Effects of Heart Position on the Body-Surface ECG
Rob MacLeod, Quan Ni, Bonnie Punske, Phil Ershler, Bulent Yilmaz,
Bruno Taccardi
Cardiovascular Research and Training InstituteUniversity of Utah
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An Old QuestionAn Old Question
• Sigler (1938)– body position
• Olbrich & Woodward-Williams (1953)– body position
• Dougherty (1970)– heart position
• Shapiro, Berson, and Pipberger (1976)– body position
• Sutherland et al.: (1983)– body position and
respiration• Green et al.: (1985)
– body habtitus• MacLeod et al.: (1997)• Hoekema (1999)
– heart/torso geometry
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Sources of VariationSources of Variation
• Geometry variation: – anatomic differences– body position– respiration– electrode placement
• Physiologic variation: – pathology– beat to beat changes– rate effects– central control (ANS)– …..
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Relevant Questions for ECG?Relevant Questions for ECG?
• How much variation is there?• Where does it come from?• How can we isolate the sources?• Is compensation possible?
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Some New ApproachesSome New Approaches
• Clinical– BSPM– medical imaging
• Simulations– forward/inverse solutions
• Experimental– isolated heart– electrolytic torso tank– three-dimensional digitizer
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Technical ApparatusTechnical Apparatus
• “Andy III”• 370 electrodes• R = 500 cm• Homogeneous• 1024 channel
acquisition
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Isolated Heart PreparationIsolated Heart Preparation
TorsoTank Electrodes
Epicardial Sock Electrodes
Support Dog
Flow Regulators
Heat ExchangeC J
ElectrolyticTorso Tank
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Shifting Heart LocationShifting Heart Location
YY
ZZ
XX
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Pacing ProtocolsPacing Protocols
RV LV
Apex
Atrial Post
Anterior
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Parameter ExtractionParameter ExtractionQRS STT
Shift (x, y, z)
Ref. 1 cm 5 cm4 cm3 cm2 cm 6 cm
ATDR
RV
Ant.
LV
Post.
Apex
Pac
ing
QRSQRS
STT
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X-shift; QRS; RV Pacing X-shift; QRS; RV Pacing
YYZZ
XX
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Z-Shift; QRS; Atrial PacingZ-Shift; QRS; Atrial Pacing
YYZZ
XX
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Peak Amplitudes: Y-shiftPeak Amplitudes: Y-shift
1 2 3 4 50
1
2
3
4
5
6
Shift in cm
QR
S-m
ax o
n t
he
tan
k [a
bs.
mV
]
Peak QRS-max
atrialRVanteriorleft lat.posteriorapex
1 2 3 4 50
1
2
3
4
5
Shift in cm
ST
-max
on
th
e ta
nk
[ab
s. m
V]
Peak ST-max
atrialRVanteriorleft lat.posteriorapex
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CVRTICVRTI
Peak Amplitudes: Z-shiftPeak Amplitudes: Z-shift
1 2 3 4 50
1
2
3
4
5
Shift in cm
QR
S-m
ax o
n t
he
tan
k [a
bs.
mV
]
Peak QRS-max
atrialRVanteriorleft lat.posteriorapex
Shift in cm
1 2 3 4 50
1
2
3
4
5
ST
-ma
x o
n t
he
ta
nk
[a
bs
. m
V]
Peak ST-max
atrialRVanteriorleft lat.posteriorapex
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Variability Index: X shiftVariability Index: X shift
1 2 3 4 50
0.5
1
1.5
2
2.5
3
Shift in cm
Va
ria
bil
ity
[m
V]
QRS
atrialRVanteriorleft lat.posteriorapex
1 2 3 4 50
0.5
1
1.5
2
2.5
3
Shift in cm
Va
ria
bil
ity
[m
V]
STT
atrialRVanteriorleft lat.posteriorapex
Sutherland et al.
STT: 1.5--3.5QRS: 2.2--6.8
Var = RMS(iref)
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CVRTICVRTI
Variability Index: Y shiftVariability Index: Y shift
1 2 3 4 5
Shift in cm
Va
ria
bil
ity
[m
V]
QRS
atrialRVanteriorleft lat.posteriorapex
0
0.5
1
1.5
2
2.5
0
0.5
1
1.5
2
2.5
1 2 3 4 5
Shift in cm
Va
ria
bil
ity
[m
V]
STT
atrialRVanteriorleft lat.posteriorapex
Sutherland et al.
STT: 1.5--3.5QRS: 2.2--6.8
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Relative VariabilityRelative Variability
Pacing Site Rel. Var.Atrial 0.224RV 0.209Anterior 0.419LV 0.111Post. 0.112Apex 0.113
Isolated Heart Hoekema (1999)
Source Rel. Var.Physiol. 0.33Geomtry 0.40Total 0.52
RelVar = Stnd. Dev.
RMSref
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What Did We Learn?What Did We Learn?• Experiments replicated clinical results
– Sutherland: patterns, amplitudes, variability– Hoekema: relative variation index
• The role of geometry is complex• Geometry errors could affect diagnosis• Future:
– mimic changes in body position– compare with electrode placement errors– recognize and compensate for geometry errors– simulations
• Bicycling is essential for good research