Lennox Connor, Mahmud Md Shaad
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:288-291. doi: 10.1109/EMBC44109.2020.9175213.
Machine learning has become increasingly useful in various medical applications. One such case is the automatic categorization of ECG voltage data. A method of categorization is proposed that works in real time to provide fast and accurate classifications of heart beats. This proposed method uses machine learning principles to allow for results to be determined based on a training dataset. The goal of this project is to develop a method of automatically classifying heartbeats that can be done on a low level and run on portable hardware.
机器学习在各种医学应用中变得越来越有用。其中一个例子是心电图电压数据的自动分类。提出了一种实时工作的分类方法，以提供快速准确的心跳分类。该方法利用机器学习原理，根据训练数据集确定结果。该项目的目标是开发一种可以在底层完成并在便携式硬件上运行的心跳自动分类方法。
