Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g10/E09305.hea (744 bytes) 
E09305 12 500 5000
E09305.mat 16x1+24 1000.0(0)/mV 16 0 -68 -17288 0 I
E09305.mat 16x1+24 1000.0(0)/mV 16 0 -48 5237 0 II
E09305.mat 16x1+24 1000.0(0)/mV 16 0 19 23257 0 III
E09305.mat 16x1+24 1000.0(0)/mV 16 0 58 -26327 0 aVR
E09305.mat 16x1+24 1000.0(0)/mV 16 0 -43 12724 0 aVL
E09305.mat 16x1+24 1000.0(0)/mV 16 0 -14 14282 0 aVF
E09305.mat 16x1+24 1000.0(0)/mV 16 0 58 25494 0 V1
E09305.mat 16x1+24 1000.0(0)/mV 16 0 -39 24950 0 V2
E09305.mat 16x1+24 1000.0(0)/mV 16 0 -78 -25040 0 V3
E09305.mat 16x1+24 1000.0(0)/mV 16 0 -48 -646 0 V4
E09305.mat 16x1+24 1000.0(0)/mV 16 0 -107 -13762 0 V5
E09305.mat 16x1+24 1000.0(0)/mV 16 0 -136 -32532 0 V6
# Age: 65
# Sex: Male
# Dx: 445118002,164884008,428750005,164873001
# Rx: Unknown
# Hx: Unknown