Detail

A deep learning model to detect signs of myocardial infarction in three-channel ECG signals at cardiologist-level performance

arjung2_illinois/myocardial_infarction_detection_in_electrocardiograms
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Arjun Gupta; E. A. Huerta; Zhizhen Zhao; Issam Moussa
Python static method

Input

Three ECG channels (v6, vz, ii) and 10 seconds each at 1000 Hz
Type: ndarray
Shape: ['10', '3', '10000']

Output

Prediction for whether input ECG waveforms show signs of myocardial infarction
Type: dict

Run with DLHub SDK

from dlhub_sdk.client import DLHubClient
X = get_my_data() #replace this
dl = DLHubClient()
dl.run('arjung2_illinois/myocardial_infarction_detection_in_electrocardiograms', X)

Get More Info with DLHub SDK

from dlhub_sdk.client import DLHubClient
dl = DLHubClient()
dl.describe_servable('arjung2_illinois/myocardial_infarction_detection_in_electrocardiograms')

DLHub SDK Installation

pip install dlhub_sdk

DLHub SDK documentation