https://bakeryrahmat.com/ slot demo slot gacor https://pupr.gorontalokota.go.id/scatter/ https://nvmslot898chat.com/ Department of Computer Science Held a Workshop – University of Halabja
Published at: 20-05-2024

Department of Computer Science Held a Workshop

Posted by:  UoH

Department of Computer Science held a workshop on Development in Human Heart Rate Classification (ECG) which was presented by Mr. Ayub Osman Abdulrahman and Mr. Karwan Mahdi Hamarauf based on 1DCNN. Further, Mr. Karwan and Mr. Ayub discussed the role of monitoring and classifying heartbeats as a main way for diagnosing various heart diseases.
Initially, Mr. Ayub first introduced ECG. He discussed heart rate data available worldwide. There are three well-known datasets for heart rate research. One is the MIT BIH Arrhythmia dataset from Boston’s Beth Israel Hospital, which includes 48 records of 30-minute heart rates from people aged 23 to 89, totaling 10,800 samples. After that, he explained a new pre-processing technique, as both researchers used on this dataset, which had not been used before.
Later, Mr. Karwan discussed another part of the workshop which is to highlight their latest joint-paper as Mr. Ayub talked about Development in Human Heart Rate Classification (ECG) based on DCNN1 as a model of Machine Learning which is published in the journal of Multimedia Tools and Applications. This published paper has an impact factor of 3.6 which is high international profile journal. Both researchers discussed the role and position in this area which is to create an AI machine to monitor heart rate. Both of them have a plan to conduct a joint paper on monitoring and classification of heart rate.
Later, Mr. Karwan discussed another part of the workshop, highlighting his and Mr. Ayub’s latest joint paper. Mr. Ayub spoke about their paper, “Development in Human Heart Rate Classification (ECG) based on DCNN1 as a Model of Machine Learning,” published in the journal Multimedia Tools and Applications, which has an impact factor of 3.6. The paper discusses the role and position of both researchers joint- work in this area, which might be useful to create an AI system to monitor human heart rate in the future.

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