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Full-Text Articles in Medicine and Health Sciences

Three-Heartbeat Multilead Ecg Recognition Method For Arrhythmia Classification, Liang-Hung Wang, Yan-Ting Yu, Wei Liu, Lu Xu, Chao-Xin Xie, Tao Yang, I-Chun Kuo, Xin-Kang Wang, Jie Gao, Patricia Angela R. Abu Apr 2022

Three-Heartbeat Multilead Ecg Recognition Method For Arrhythmia Classification, Liang-Hung Wang, Yan-Ting Yu, Wei Liu, Lu Xu, Chao-Xin Xie, Tao Yang, I-Chun Kuo, Xin-Kang Wang, Jie Gao, Patricia Angela R. Abu

Department of Information Systems & Computer Science Faculty Publications

Electrocardiogram (ECG) is the primary basis for the diagnosis of cardiovascular diseases. However, the amount of ECG data of patients makes manual interpretation time-consuming and onerous. Therefore, the intelligent ECG recognition technology is an important means to decrease the shortage of medical resources. This study proposes a novel classification method for arrhythmia that uses for the very first time a three-heartbeat multi-lead (THML) ECG data in which each fragment contains three complete heartbeat processes of multiple ECG leads. The THML ECG data pre-processing method is formulated which makes use of the MIT-BIH arrhythmia database as training samples. Four arrhythmia classification …


Participant Use Of Digital Diaries In Qualitative Research: A Strong Structuration Analysis, Maureen L. Seguin, Jhaki A. Mendoza, Eunice Mallari, Gideon Lasco, Arianna Maever L. Amit, Lia M. Palileo-Villanueva, Benjamin Palafox, Alicia Renedo, Martin Mckee, Dina Balabanova Jan 2022

Participant Use Of Digital Diaries In Qualitative Research: A Strong Structuration Analysis, Maureen L. Seguin, Jhaki A. Mendoza, Eunice Mallari, Gideon Lasco, Arianna Maever L. Amit, Lia M. Palileo-Villanueva, Benjamin Palafox, Alicia Renedo, Martin Mckee, Dina Balabanova

Development Studies Faculty Publications

Lived experiences of chronic conditions are marked by fluidity and change, which should be considered if care is to be truly patient-centered. Seeking to capture this fluidity, we used digital diaries via mobile phones to communicate with hypertensive patients in the Philippines over approximately 12 months. This paper draws on Strong Structuration Theory to conceptualize the complex array of factors shaping participants’ usage (and non-usage) of the diaries, thereby offering a comprehensive understanding of how the diaries were perceived and used. We draw on qualitative data from 42 participants (73 baseline/follow-up interviews and 37 digital diaries), purposively selected from a …


Prevalence, Determinants And Outcomes Of Traditional, Complementary And Alternative Medicine Use For Hypertension Among Low-Income Households In Malaysia And The Philippines, Lia M. Palileo-Villanueva, Benjamin Palafox, Arianna Maever L. Amit, Veincent Christian F. Pepito, Fadhlina Ab-Majid, Farnaza Ariffin, Dina Balabanova, Mohamad-Rodi Isa, Nafiza Mat-Nasir, Mazapuspavina My Jan 2022

Prevalence, Determinants And Outcomes Of Traditional, Complementary And Alternative Medicine Use For Hypertension Among Low-Income Households In Malaysia And The Philippines, Lia M. Palileo-Villanueva, Benjamin Palafox, Arianna Maever L. Amit, Veincent Christian F. Pepito, Fadhlina Ab-Majid, Farnaza Ariffin, Dina Balabanova, Mohamad-Rodi Isa, Nafiza Mat-Nasir, Mazapuspavina My

Ateneo School of Medicine and Public Health Publications

Background

Traditional, complementary and alternative medicine (TCAM) is used to treat a broad range of conditions. In low- and middle-income countries (LMICs), TCAM use is particularly common among those with low socio-economic status. To better understand the patterns and impact of TCAM use on the management of non-communicable diseases in these populations, this study examines the prevalence and characteristics of TCAM use for hypertension, its determinants, and its association with hypertension management outcomes and wellbeing among low-income adults in two Southeast Asian countries at different levels of economic and health system development, Malaysia and the Philippines.

Methods

We analysed cross-sectional …