Self Services And Monitoring Of Weak Heart Disease Based On The Internet Of Things And Mobile App Using Certainty Factor

Heart disease can be suffered by anyone regardless of age and gender. Heart disease can be caused by many things, such as unhealthy lifestyles (smoking), as well as heredity. Low self-awareness of someone with weak heart disease to monitor their heart health regularly. To diagnose weak heart disease, this system uses the Certainy Factor method. With this method, patients can find out the results of the decision whether the patient is at risk of developing weak heart disease or heart health conditions in normal circumstances. This method can provide comparative results (and decision results) of several parameters (tested), one of which is the heart rate parameter. Therefore, the authors build a mobile application system with the concept of service and monitoring of weak heart disease named "iHeart". With this application, patients can monitor and detect weak heart disease and use various features (features) contained in the application. One of the iHeart application facilities is the GUI Chart for heart rate monitoring. This application can also accommodate the patient's heart rate history data into a database as a data storage medium. This application system uses IoT technology, which makes it easy for users or patients and practitioners to see the results of a heartbeat to find out whether a patient has a weak heart or not, in real-time via a smartphone (smartphone) without interfering with patient mobility

The Challenges And Contribution Of Internet Of Things (IoT) For Smart Living

The evolution of Internet and advanced in ICT had led to the increasingly usage of Internet of Things (IoT) in various sectors and facilitated borderless connection in various fields. Contextualised within the development of Smart City, much have been reported on the challenges and contribution of using of IoT for smart living. This paper presents a review of the challenges and contribution of using IoT for smart living. Using a systematic method to analyse the literature, 31 articles have been selected for the review. It was found that the contributions of IoT surpass the challenges of using IoT. Two significant contributions have been identified, which are facilitating communication and improving safety as well as improving quality of life. Meanwhile, the main challenges of IoT implementation are issues related to security and privacy. It was also found that there is a lack of information related to the ways to overcome the challenges, although the challenges were discussed in length. This review provides an overview of the adoption of IoT for Smart Living, focusing on its challenges and contribution

Social Media Usage And Its Impact On Work Productivity At A Malaysian University

The ubiquity of social media at the workplace has motivated researchers to investigate its contribution to the work performance among employees. However, an investigation of this phenomena at a learning institution in Malaysia is still non-existence. Thus, this study aimed to explore the perceived impact of using social media to work productivity among employees at a particular university. A focus group interview among nine employees consisting of different job scope at an academic centre of a particular university has been conducted. Data were transcribed, coded and categorised using Nvivo Pro 11 software. The finding of this study showed the common social media used by the respondents are Whatsapp followed by email, Facebook, Youtube and Google via smartphone and desktop for work, notification and reminder purposes. Respondents highlighted the positive and negative impacts of using social media which affect their job productivity and showed different perceptions toward the relationship between the reasons of using social media and staff productivity. The findings were limited to a particular context hence generalising them to other context need to be done with caution. Further, this study can be considered as a preliminary study to gain further understanding of the impact of social media to work productivity

A smart sleep apnea detection service

Over the last decades, sleep apnea has become one of the most prevalent healthcare problems. Diagnosis and treatment monitoring are key elements when it comes to addressing this public health crisis. A problem for diagnosis and treatment monitoring is a chronic lack of specialized lab facilities which results in long waiting times or the absence of such services. This can delay appropriate treatment which might prolong living with sleep apnea and thereby leading to health issues due to poor sleep. We address this problem with a smart sleep apnea detection service based on Heart Rate Variably (HRV) analysis. The service incorporates Internet of Medical Things (IoMT), mobile technology (MT), and advanced Artificial Intelligence (AI). The measured signals are relayed by a smart phone into a cloud server via IoMT protocols. Once the data is stored in the cloud server, a deep learning (DL) algorithm is used to detect sleep apnea events. Detecting these events can trigger a warning message which is sent to care givers. The smart sleep apnea detection service is beneficial for patients who find it difficult to access specialized lab facilities for diagnosis or treatment monitoring. Furthermore, the system prolongs the observation period, which can improve the diagnosis accuracy. The resource requirements for the proposed service are lower when compared to clinical facilities, this might lead to significant cost savings for healthcare providers