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

File: <base>/training/georgia/g5/E04835.hea (737 bytes) 
E04835 12 500 5000
E04835.mat 16x1+24 1000.0(0)/mV 16 0 146 -29028 0 I
E04835.mat 16x1+24 1000.0(0)/mV 16 0 -68 -30323 0 II
E04835.mat 16x1+24 1000.0(0)/mV 16 0 -214 -1612 0 III
E04835.mat 16x1+24 1000.0(0)/mV 16 0 -39 29689 0 aVR
E04835.mat 16x1+24 1000.0(0)/mV 16 0 180 19139 0 aVL
E04835.mat 16x1+24 1000.0(0)/mV 16 0 -141 16618 0 aVF
E04835.mat 16x1+24 1000.0(0)/mV 16 0 0 5744 0 V1
E04835.mat 16x1+24 1000.0(0)/mV 16 0 214 15811 0 V2
E04835.mat 16x1+24 1000.0(0)/mV 16 0 48 11095 0 V3
E04835.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31190 0 V4
E04835.mat 16x1+24 1000.0(0)/mV 16 0 -68 24959 0 V5
E04835.mat 16x1+24 1000.0(0)/mV 16 0 -19 23978 0 V6
# Age: 46
# Sex: Male
# Dx: 67741000119109,270492004,59931005
# Rx: Unknown
# Hx: Unknown