ABSTRACT
Health monitoring that requires doctors and patients at the healthcare center may not be practical during the coronavirus disease 2019 (COVID-19) pandemic. Alternatively, mobile health (mHealth) should be embraced to minimize contact between patients and healthcare personnel. This research aims to enhance the detection of abnormal heart rate (HR) detection by developing a real-time heart rate monitoring (RTHM) application. Sixteen healthy adults participated in a physical real-time HR monitoring testbed. Participants HR was measured for three minutes resting and three minutes performing moderate-intensity physical activity. The results were compared with the polar beat app. Additionally, the energy consumption, the time taken to receive an alarm message, and an acceptance test were analyzed. The app is acceptably accurate, the mean absolute percentage error less than 2%. The response time to receive the alarm message is 30 seconds on average, which is under an acceptable range of medical standards. Moreover, the app is power efficient, 477 mW on average. Participants show a positive attitude towards using RTHM. RTHM is expected to provide a more plausible tool for monitoring the heart towards enhancing abnormal HR detection by promoting patient-oriented healthcare and minimizing sudden deaths due to heart failure. © 2023, Institute of Advanced Engineering and Science. All rights reserved.
ABSTRACT
The COVID-19 outbreak brought challenges to the education sector in Malaysia as schools were shut down and later on, operate under strict standard operating procedures (SOP) and guidelines. This situation caused inconvenience to school authorities as the education process was significantly affected. Smart building systems that integrate various technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), mechanisms and robotics and building management systems allow school authorities to operate the schools under the new norm. Therefore, this research was conducted to propose a safe operation of the physical teaching and learning process in schools by leveraging smart building systems. A qualitative method was adopted which involved the participation of five schools in Kedah. Findings revealed that smart building systems are suitable to be implemented in schools to create a safe environment and operation for the physical teaching and learning process under the new norm. © 2022 by MIP.
ABSTRACT
Usage of online teaching and learning platforms to support mobile or remote learning in higher education institutions have been widely utilised throughout the COVID-19 pandemic as movements were restricted, disallowing physical classes. Many agree with the functions and benefits of these online platforms. Thus, this study aims to analyse the determinants that would influence the acceptance and use of technology based on the UTAUT model for permanent adoption of the system. The results showed that performance expectancy, effort expectancy and facilitating condition have significant influences over behaviour intention to use the online systems, intention having influences on usage behaviour as well as hedonic motivations having mediating effects on the relationship between performance expectancy and facilitating condition with behaviour intention. Findings and implications of this study are discussed to assists the education industry. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
This paper aims to investigate e-learning acceptance in Malaysian higher education institutions and the moderating effect of self-efficacy. This study is crucial as online and distance learning have grown in all education sectors due to the COVID-19 pandemic. A valid sample of 414 survey responses from active students currently enrolled in undergraduate and postgraduate levels in Malaysian higher education institutions was collected for data analysis. Structural Equation Modelling (SEM) was employed in the data analysis. Results indicate that all four exogenous variables (performance expectancy, social influence, perceived enjoyment, and self-efficacy) significantly affect students’ acceptance towards e-learning. However, only performance expectancy and social influence are moderated by self-efficacy towards acceptance of e-learning, as self-efficacy does significantly strengthen the relationship of performance expectancy and social influence towards e-learning acceptance. The findings may serve as a reference point for future studies in response to changing the learning method preferences and technological advancements. © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).