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Wireless Body Area Networks consist of low power lightweight wearable and/or implantable sensor nodes that are often placed remotely for applications like ubiquitous health care, military, sports, entertainment and many other areas. Depression is becoming a common problem in human beings. In this paper the proposed work presents a framework to moni...
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... we are considering Forgery, Alteration and Selective forwarding attacks may occur in our system, we propose a secure remote health care system to prevent our system from the above attacks. Fig 5 represents the flowchart of the proposed work. For example we can consider a situation where a depression patient is living at home. ...
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This paper describes the development and implementation of a program to promote prompt and appropriate care seeking for fever in children under the age of five. Designed as a multicomponent program, the intervention comprises elements to influence the behavior of caregivers of children, Community Health Workers, professional health care...
Citations
... Audio and heart rate signals fed into machine learning algorithms can potentially detect mental stress levels in children, creating the possibility to remotely monitor child safety [16]. Other ways to use the collected data are to implement suicide risk monitoring [17] or monitor the state of mental health in chronically depressed patients [18]. ...
Medical Body Area Networks (MBANs) are ensembles of collaborating, potentially heterogeneous, medical devices, located inside, on the surface of or around the human body with the objective of tackling one or multiple medical conditions of the MBAN host. These devices collect, process and transfer medical data outside of the network, while in some cases they also administer medical treatment autonomously. Being that communication is so pivotal to their operation, the newfangled IEEE 802.15.6 standard is aimed at the communication aspects of MBANs. It places a set of physical and communication constraints as well as includes association/disassociation protocols and security services that MBAN applications need to comply with. However, the security specifications put forward by the standard can be easily shown to be insufficient when considering realistic MBAN application scenarios and need further enhancements. This paper remedies these shortcomings by, first, providing a structured analysis of the IEEE 802.15.6 security features and, afterwards, proposing comprehensive and tangible recommendations on improving the standard's security.
... Audio and heart rate signals fed into machine learning algorithms can potentially detect mental stress levels in children, creating the possibility to remotely monitor child safety [18]. Other ways to use the collected data include suicide risk monitoring [19] and monitoring the state of mental health in chronically depressed patients [20]. ...
A Medical Body Area Network (MBAN) is an ensemble of collaborating, potentially heterogeneous, medical devices located inside, on the surface of or around the human body with the objective of tackling one or multiple medical conditions of the MBAN host. These devices-which are a special category of Wireless Body Area Networks (WBANs)–collect, process and transfer medical data outside of the network, while in some cases they also administer medical treatment autonomously. Since communication is so pivotal to their operation, the newfangled IEEE 802.15.6 standard is aimed at the communication aspects of WBANs. It places a set of physical and communication constraints while it also includes association/disassociation protocols and security services that WBAN applications need to comply with. However, the security specifications put forward by the standard can be easily shown to be insufficient when considering realistic MBAN use cases and need further enhancements. The present work addresses these shortcomings by, first, providing a structured analysis of the IEEE 802.15.6 security features and, afterwards, proposing comprehensive and tangible recommendations on improving the standard’s security.
... In [114], data transfer from the actigraphs sensors (versatile and affordable sensors) and the hub is performed using IEEE-802.15.6 standard. The system in [115] uses a number of miniature wearable wireless sensors (based on SHIMMER platform) to monitor patients with severe movement fluctuations. Gateways such as smartphones are used to send data over the Internet. ...
Interest and need for Wireless Body Area Networks (WBANs) have significantly increased recently. WBAN consists of miniaturized sensors designed to collect and transmit data through wireless network, enabling medical specialists to monitor patients during their normal daily life and providing real time opinions for medical diagnosis. Many wireless technologies have proved themselves in WBAN applications, while others are still under investigations. The choice of the technology to adopt may depend on the disease to monitor and the performance requirements, i.e. reliability, latency and data rate. In addition, the suitable sensor is essential when seeking to extract the data related to a medical measure. \\
This paper aims at surveying the wireless technologies used in WBAN systems. In addition to a detailed survey on the existing technologies, the use of the emerging Low Power Wide Area Network (LPWAN) technologies, and the future 5G, B5G and 6G is investigated, where the suitability of these technologies to WBAN applications is studied from several perspectives. Furthermore, medical applications of WBAN are discussed by presenting their methodologies, the adopted wireless technologies and the used sensors. Given that each medical application requires the appropriate sensor to extract the data, we highlight a wide range of the sensors used in the market for medical systems. Recent and future challenges in WBAN systems are given related to the power consumption, the emergence of the Internet of Things (IoT) technologies in WBAN and others.
... Saha et. al., [6] has presented a framework to monitor the posture, behavioral and physical activities. The collaborative observations are taken by the author to verify that the patient is depressed or not. ...
With the advancement in wireless sensing technology, the notion of the Internet of Things (IoT) has become ubiquitous and widely adopted due to its extensive applications in smart living. In that regard, Human Activity Recognition (HAR) is an indispensable part of intelligent systems for continuous supervision of human behavior. The design of effective applications requires accurate and relevant information on people’s activities and behaviors. This chapter presents a comprehensive review of the existing IoT-based HAR systems in the literature that promote smart living. The contribution of this work is to drive interested researchers toward the concept of HAR through existing works. In addition, a hands-on experimental case study is also provided to demonstrate the practical application of the concept, for recognizing and predicting several activities, in real life. Accordingly, here we first study the general architecture of the HAR system along with its principal components in detail. Next, the conglomeration of HAR with IoT and its impact on each other has been intensely explored to provide extensive insight for further research. We discuss the research challenges associated with developing IoT-based HAR systems. Next, the state-of-the-art works in HAR based on wearable sensors are surveyed thoroughly. At the end, we present a case study on HAR, using UCIHAR, a standard benchmark dataset that exhibits the practical implementation of the framework on different Machine Learning as well as Deep Learning models.KeywordsWireless sensor networkIoTHARWearable sensorMachine learningDeep learning
With the rapid growth in healthcare demand, an emergent, novel technology called wireless body area networks (WBANs) have become promising and have been widely used in the field of human health monitoring. A WBAN can collect human physical parameters through the medical sensors in or around the patient’s body to realize real-time continuous remote monitoring. Compared to other wireless transmission technologies, a WBAN has more stringent technical requirements and challenges in terms of power efficiency, security and privacy, quality of service and other specifications. In this paper, we review the recent WBAN medical applications, existing requirements and challenges and their solutions. We conducted a comprehensive investigation of WBANs, from the sensor technology for the collection to the wireless transmission technology for the transmission process, such as frequency bands, channel models, medium access control (MAC) and networking protocols. Then we reviewed its unique safety and energy consumption issues. In particular, an application-specific integrated circuit (ASIC)-based WBAN scheme is presented to improve its security and privacy and achieve ultra-low energy consumption.
