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    Cardiac Arrhythmia Teletriage using Electrocardiogram
    (2021-01-01)
    Limpiti, Tulaya
    ;
    Chokchaichumnankit, Thunchanok
    ;
    Sanguanchom, Jirayu
    ;
    Soyphan, Natchanon
    ;
    Puttarak, Nattakan
    Telehealth has become a favorable method for receiving medical care during the COVID-19 pandemic. It reduces physical contact and also benefits those who live a distance from hospitals. In this paper we present a cardiac arrhythmia teletriage using electrocardiogram (ECG). The system consists of a diagnostic algorithm for arrhythmias and an Android application. The diagnostic algorithm can detect five types of cardiac problems-arrhythmia, bradycardia, tachycardia, bradyarrhythmia, and tachyarrhythmia. The Android application is the main communication channel between patients and healthcare providers. The user uploads their ECG and receives a preliminary diagnosis of their heart health via the application. The system notifies the user if it detects any abnormalities. The user can then make an appointment online for further examination at the hospital. The capability of the proposed system is evaluated using four databases from PhysioNet - MITBIH Normal Sinus Rhythm Database, MIT-BIH Arrhythmia Database, MIT-BIH Atrial Fibrillation Database, and CU Ventricular Tachyarrhythmia Database. It is found that the algorithm is able to detect abnormal ECG signals with an average accuracy of 82.1%.
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    Using an android devices as mobile extensible HMIs
    (2020-07-01)
    Cheypoca, Thepjit
    ;
    Anuntahirunrat, Kongsuk
    In this paper, an android application monitoring and control with programmable logic controller (PLC) system is proposed, which helps the production engineer self-correct the system without restriction of time and place. The proposed android application consists of smart phone, access point and PLC Siemens S7-1200. The feasibility of this method is illustrated by experimental using different parameter databases. Recognition results show this approach is efficient.