Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(742 bytes)
E06976 12 500 5000
E06976.mat 16x1+24 1000.0(0)/mV 16 0 -97 -14701 0 I
E06976.mat 16x1+24 1000.0(0)/mV 16 0 -97 7179 0 II
E06976.mat 16x1+24 1000.0(0)/mV 16 0 0 21984 0 III
E06976.mat 16x1+24 1000.0(0)/mV 16 0 97 3501 0 aVR
E06976.mat 16x1+24 1000.0(0)/mV 16 0 -48 -18276 0 aVL
E06976.mat 16x1+24 1000.0(0)/mV 16 0 -48 14622 0 aVF
E06976.mat 16x1+24 1000.0(0)/mV 16 0 68 31403 0 V1
E06976.mat 16x1+24 1000.0(0)/mV 16 0 58 -13288 0 V2
E06976.mat 16x1+24 1000.0(0)/mV 16 0 29 -23275 0 V3
E06976.mat 16x1+24 1000.0(0)/mV 16 0 -126 -21429 0 V4
E06976.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8438 0 V5
E06976.mat 16x1+24 1000.0(0)/mV 16 0 -214 -31052 0 V6
# Age: 70
# Sex: Male
# Dx: 698252002,426434006,164934002,111975006
# Rx: Unknown
# Hx: Unknown