Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> Introduction <s> In this paper we describe the mobile health (m-health) system in the context of Internet of Things (IoT). We describe the fundamental characteristics of m-health devices such as compactness, IP connectivity, low-power consumption and security. We discuss acquisition of mobile health data via medical gadgets and wearables and application of this data in monitoring various health conditions such as blood sugar level, ECG, blood-pressure, asthma, etc. Security is very critical for IoT based m-health system. We address the issues of confidentiality, privacy, and security in the context of secure m-health system. We listed several measures to protect the information of patients and m-health system. The m-health system will benefit the patients in many ways such as quick diagnosis, remote monitoring and home rehabilitation. Overall m-health system will significantly reduces healthcare cost and unnecessary hospitalizations. <s> BIB001 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> Introduction <s> Abstract Information technology has recently seen a huge progress in innovative healthcare technologies that rendered healthcare data bigger. Connectivity on 7/24 basis between human to device and device to device have a crucial role in individuals’ lives. Therefore, Mobile Cloud System (MCC) has become an indispensable tool. Parallel with the rapid developments in the Internet of Things, convergence has become an important issue. Our proposed method, accordingly, can be converged with mobile-cloud environments with cloud computing in handling healthcare information. This study uses Virtual Dedicated Server (VDS) as 4 VCPU and 8 GB RAM and proposes a model based on the Android based mobile phones for stroke patients with cardioembolic (689) and cryptogenic (528) subtypes. The system set up through this study has two basic application elements which are mobile application and server application. Artificial Neural Network (ANN) module is beneficial for classifying the two stroke subtypes while server application is used for saving the data from the patients. Accordingly, our model guarantees availability, security, and scalability as a system for stroke patients applying Stroke dataset for ANN algorithm, Multilayer Perceptron Algorithm (MLP), which has been done for the first time in literature with big data in this scope. The main contributions are: (1) The outcomes will display an individual unique social insurance framework. (2) The outcomes will be utilized for the distinguishing proof of stroke-related data to be gathered by cell phones that are Android based. (3) Stroke patients will find out about their condition of well-being through an ANN application programming interface, which will provide a sort of organization for the patients. Overall, an efficient and user-friendly stroke determination human services framework has been presented through this Healthcare System for patients. <s> BIB002
e sudden rise in the population has brought many challenges in health services and ultimately it has led to the scarcity of medical resources. It is in dire need to address these challenges and provide a prompt solution based on the limited resources. e IoT, mobile, and network connectivity provide the best solution due to their less cost and easy-to-use features  . e main focus of Internet of ings-(IoT-) based healthcare services is to provide a rich user experience at low cost and improve the quality of life  . e major function of IoT is to provide connectivity to the available medical resources and reliable, e ective, and smart healthcare services to the aged patients who su er from chronic diseases. e IoT brings smart healthcare system in the medical eld which is usually composed of sensors with smart functionality, a remote server, and the network. is system is focused to provide monitoring with multi-dimensional features and basic treatment suggestion  . Similarly, the mobile computing provides services to IoT by using mobile phone services, apps, or through m-health care system. e m-health contributes to the IoT by furnishing various services like compactness, IP connectivity, low-power consumption, and security BIB001 . In recent time, numerous applications have been developed that are intended to deliver mobile-based services to the users in the eld of healthcare. e smartphone applications enable the patients to know about their diseases after the analysis in the elds of gynaecology and paediatrics BIB002 . e application of IoT in healthcare is categorized as single condition applications and clustered condition applications. A few applications discussed in this paper are glucose level sensing, blood pressure monitoring system, body temperature monitoring, oxygen saturation monitoring system, ECG (electrocardiogram) monitoring system, wheelchair management system, and rehabilitation system. Some papers are available on IoT in healthcare but these are concerned with only IoT in healthcare. However, the proposed research is concerned with IoT in healthcare using the concept of mobile computing, and the proposed research is a comprehensive analysis of the existing research. e contribution of the proposed study is to offer a systematic literature review protocol to study how mobile computing assists IoT applications in healthcare, contributes to the current and future research work of IoT in the healthcare system, brings privacy and security in health IoT devices, and affects the IoT in the healthcare system. e proposed study reports the papers that were included based on filtering process and contents, and a total of 116 primary studies were included to support the proposed research. ese papers were then analysed for research questions defined for the proposed study. is research paper is organized in such a manner that research methodology is described next to the first part of the paper which is introduction. In research methodology section, research questions and their description, research strategy, and inclusion and exclusion criteria for research papers are defined in detail. A list of the selected research papers is also shared in this section. Qualitative and quantitative analysis along with the appropriate figure is also a part of this section. An overview of the selected studies and detail of the research questions are organized in the third section of this paper. Certain types of limitations defined based on the research study are the fourth part of this paper. At the end of this paper, some suggestions for the betterment of the IoT are proposed.