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In this paper, we propose a classifier that can predict ventricular tachycardia (VT) events using artificial neural networks (ANNs) trained with parameters from heart rate variability (HRV) analysis. The Spontaneous Ventricular Tachyarrhythmia Database (Medtronic Version 1.0), comprising 106 pre-VT records and 126 control data, was used. Each data set was(More)
Nowadays, almost every hospitals use picture archiving and communications system (PACS), electronic medical record (EMR) systems acquire and manage patients data digitally, which means medical equipment must be connected to a network to transfer data to the server. In case of mobile digital C-arm X-ray system, the system is generally used in the operating(More)
This paper proposes an assistance system for Botox procedure of patients with strabismus. Commercial system generates only sound signal when it detects electromyogram (EMG) signal of extra ocular muscles (EOMs). However, this audio based notification can suffer from ambient noise, which could reduce the accuracy. This problem can be minimized when we(More)
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