As interest in cardiovascular disease increases, there is significant development in real-time healthcare services and devices. This paper suggests a machine learning-based arrhythmia diagnosis algorithm for mobile healthcare systems linked to a wearable electrocardiogram measurement device. The system monitors electrocardiograms in real time and distinguishes among arrhythmia, normal, and noise signals. By regular monitoring using […]
Jul
Jul
As interest in cardiovascular disease increases, there is significant development in real-time healthcare services and devices. This paper suggests a machine learning-based arrhythmia diagnosis algorithm for mobile healthcare systems linked to a wearable electrocardiogram measurement device. The system monitors electrocardiograms in real time and distinguishes among arrhythmia, normal, and noise signals. By regular monitoring using […]
Jan
The purpose of this paper is to understand various problems related to Computer Science and find solutions from optimized machine learning algorithm by realizing machine learning API and API server. The representative machine-learning algorithm, TensorFlow, need to express algorithm from the stage of nodes and edges while IBM Watson only uses functions in completed form. […]
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