Top PDF A IOT-based Modern Healthcare System Using Body Sensor Network (BSN)

A IOT-based Modern Healthcare System Using Body Sensor Network (BSN)

A IOT-based Modern Healthcare System Using Body Sensor Network (BSN)

[7]. Effective Ways to Use Internet of Things in the Field of Medical and Smart Health Care. [KaleemUllah, Munam Ali Shah, Sijing Zhang, Department of Computer Science, University of Bedfordshire, Luton, UK] Contribution: Nowadays there is lots of advancements in the technology and there is everywhere easily availability of the internet access that makes possible to connect various devices. This device can communicate with each other via wireless or wired technology. The Internet of Things (iot) is a new and important concept. Its main purpose is the to allows users to connect various sensors and smart devices to collect real-time data from the environment. E-Health and m-Health architectures are use smartphone sensors to sense the data from the patient and transmit important data related to a patient’s health is to transmit to the doctor. Then doctor take appropriate decision on tn the basis of sensor report. This sensor is continuous monitoring the patient hence there is no need to doctor visit them. At a time doctor can be handle the number the of patient. In this paper the contribution of the authors is firstly effectively deploy the iot in the field of medical and smart health care. Secondly, we propose a new semantic model for patients’ e-Health. The Proposed system has named as ‘k-Healthcare’ that uses 4 layers, these layers namely are sensor layer, network layer, Internet layer and services layer. All this layer effectively and efficiently is co-operate to each other that are responsible for the collecting information from the patient using the smart phone. There are many people in the world that are suffers from the at least one chronic diseases but they do not get proper access to hospitals and or due to some problems such as patient in traffic, they do not get the treatment at emergency time for that purpose this health care monitoring system is developed. But nowadays the latest technology, small wireless devices which are connected to iot and monitor the patient remotely instead of visiting the physical hospital. Sensors are attached to the body of the patient, and these sensors are collecting the data related to the physiological parameter to get health data securely, and the collected data can be analyzed and sent to the server using different transmission media such as 3G/4G with base stations or Wi-Fi which is connected to the Internet. All the medical professionals can access and view the data, take decision accordingly to provide services remotely.
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A Secure IoT-Based Modern Healthcare System Using Body Sensor Network

A Secure IoT-Based Modern Healthcare System Using Body Sensor Network

The last few decades have witnessed a steady increase in life expectancy in many parts of the world leading to a sharp rise in the number of elderly people. A recent report from United Nations [1] predicted that there will be 2 billion (22% of the world population) older people by 2050. In addition, research indicates that about 89% of the aged people are likely to live independently. Accordingly, providing a decent quality of life for aged people has become a serious social challenge at that moment. The rapid proliferation of information and communication technologies is enabling innovative healthcare solutions and tools that show promise in addressing the aforesaid challenges. Now, Internet of Things (IoT) has become one of the most powerful communication paradigms of the 21th century. In the IoT environment, all objects in our daily life become part of the internet due to their communication and computing capabilities (including micro controllers, transceivers for digital communication). IoT extends the concept of the Internet and makes it more pervasive. IoT allows seamless interactions among different types of devices such as medical sensor, monitoring cameras, home appliances so on. [2], [3]. Because of that reason IoT has become more productive in several areas such as healthcare system. In healthcare system, IoT involves many kinds of cheap sensors (wearable, implanted, and environment) that enable aged people to enjoy modern medical healthcare services anywhere, any time. Besides, it also greatly improves aged peoples quality of life.The body sensor network (BSN) technology [4] is one of the most imperative technologies used in IoT-based modern healthcare system. It is basically a collection of low-power and lightweight wireless sensor nodes that are used to monitor the human body functions and surrounding environment. Since BSN nodes are used to collect sensitive (life-critical) information and may operate in hostile environments, accordingly, they require strict security mechanisms to prevent malicious interaction with the system.
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A SECURE HEALTHCARE SYSTEM USING IOT DEVICE AND BODY SENSOR NETWORK

A SECURE HEALTHCARE SYSTEM USING IOT DEVICE AND BODY SENSOR NETWORK

Health is one of the global challenges for humanity. In 21st century IOT become one of the most powerful communication paradigms. In the IOT due to environment all the objects that we are using daily will take place due to their communication and computing capabilities [like microcontroller, transceivers for digital communication]. It extends the concept of internet and make pervasive. IOT provides similar interaction between medical sensors, monitoring cameras and home appliances. According to the constitutions of World Health Organization (WHO) the highest attainable standard of health is a fundamental right for an individual. Healthy individuals also reduce pressure on the already overwhelmed hospitals, clinics, and medical professionals and reduce workload on the public safety networks, charities, and governmental (or non-governmental) organizations. The body sensor network (BSN) technology is one of the imperative technologies used in IoT-based modern healthcare system. It is basically a collection of low-power and lightweight wireless sensor nodes that are used to monitor the human body functions and surrounding environment.
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The Internet of Things for Healthcare: Applications, Protocols, and Security

The Internet of Things for Healthcare: Applications, Protocols, and Security

ABSTRACT: The Internet of Things (IoT) makes brilliant items a definitive building block in the improvement of digital physical savvy inescapable systems. The IoT has an assortment of utilization zones, including medicinal services. The IoT revolution is upgrading present day medicinal services with promising innovative, monetary, and social prospects. In the cutting edge, the usage of IoT technologies brings convenience to physicians and patients, since they are applied to various medical areas. Presently a-days medical issues like cardiovascular disappointment, lung failure, and heart-related infections are emerging step by step at a high rate. Due to these problems, time to time wellbeing checking is extremely basic. A modern concept in the IOT is the wireless health monitoring of a patient. It is a noteworthy improvement in the therapeutic field. The body sensor network (BSN) innovation is one of the center advances of IoT improvements in medicinal services framework, where a patient can be observed utilizing an accumulation of small tiny powered and lightweight remote sensor hubs. Nonetheless, the improvement of this new innovation in healthcare applications without considering security makes patient privacy vulnerable. In this paper, the major security requirements in the BSN-based modern healthcare system are highlighted. In this paper, the real security prerequisites in the BSN-based modern healthcare framework are featured.
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Secret-Key and Public-Key Based Privacy Protection Protocols in Wireless Medical Sensor Networks: A Survey

Secret-Key and Public-Key Based Privacy Protection Protocols in Wireless Medical Sensor Networks: A Survey

S. Dagtas et al. [5] presented a framework for a wireless health monitoring system using wireless networks such as Zig Bee. Vital signals are collected and processed using a 3-tiered architecture. The first stage is the mobile device carried on the body that runs a number of wired and wireless probes. This device is also designed to perform some basic processing such as the heart rate and fatal failure detection. At the second stage, further processing is performed by a local server using the raw data transmitted by the mobile device continuously. The raw data is also stored at this server. The processed data as well as the analysis results are then transmitted to the service provider center for diagnostic reviews as well as storage. The main advantages of the proposed framework are (1) the ability to detect signals wirelessly within a body sensor network (BSN), (2) low-power and reliable data transmission through ZigBee network nodes, (3) secure transmission of medical data over BSN, (4) efficient channel allocation for medical data transmission over wireless networks, and (5) optimized analysis of data using an adaptive architecture that maximizes the utility of processing and computational capacity at each platform.
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Patient Monitoring System Using Body Sensor Network

Patient Monitoring System Using Body Sensor Network

of opportunistically affiliated modules and ceremony appendage contributes to the beheading of the primary accoutrement by animate a accumulating of the accoutrement tasks and accouterment annual to the abutting nodes. Adjustable disposed (m-Healthcare) acclimation has been pictured as an important accoutrement of accustomed accession to accession blossom adversity above and save lives, across miniaturized wearable and implantable assay detector nodes and astute phones aggregation acclimatized board apprenticed disposed assay to those that access constant medical distance like abiogenetic birthmark and amore condition. Astute fizz and wireless Physique Sensor Networks (BSN) brash by assay detector nodes, the medical users can airing alfresco and access the high-quality disposed assay from medical professionals anytime and anywhere.
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IOT based health monitoring system using 
		Android APP

IOT based health monitoring system using Android APP

The aim of this project is to create an IOT based application for monitoring patient. The advancement of Body Sensor Network in healthcare applications have made patient monitoring more feasible. We are proposing an Android Mobile application based Health care system using Body Sensor Network (BSN). The nodes of BSN include Temperature, Humidity and Pulse Rate Sensor. The proposed framework is effective in taking care of the issues confronted by patients and doctor by observing human exercises and interfacing with the living condition.
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Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor Networks

Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor Networks

Today, the workflows that are involved in industrial assembly and production activities are becoming increasingly complex. To efficiently and safely perform these workflows is demanding on the workers, in particular when it comes to infrequent or repetitive tasks. This burden on the workers can be eased by introducing smart assistance systems. This article presents a scalable concept and an integrated system demonstrator designed for this pur- pose. The basic idea is to learn workflows from observing multiple expert operators and then transfer the learnt workflow models to novice users. Being entirely learning-based, the proposed system can be applied to various tasks and domains. The above idea has been realized in a prototype, which combines components pushing the state of the art of hard- ware and software designed with interoperability in mind. The emphasis of this article is on the algorithms developed for the prototype: 1) fusion of inertial and visual sensor information from an on-body sensor network (BSN) to robustly track the user ’ s pose in magnetically pol- luted environments; 2) learning-based computer vision algorithms to map the workspace, localize the sensor with respect to the workspace and capture objects, even as they are car- ried; 3) domain-independent and robust workflow recovery and monitoring algorithms based on spatiotemporal pairwise relations deduced from object and user movement with respect to the scene; and 4) context-sensitive augmented reality (AR) user feedback using a head-mounted display (HMD). A distinguishing key feature of the developed algorithms is that they all operate solely on data from the on-body sensor network and that no external instrumentation is needed. The feasibility of the chosen approach for the complete action- perception-feedback loop is demonstrated on three increasingly complex datasets a11111
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Body Sensor Network using Raspberry Pi3: IoT

Body Sensor Network using Raspberry Pi3: IoT

The security and also the privacy problems in health care applications exploitation body detector or sensor network. Subsequently, even though most of the popular BSN based research projects acknowledge the issue of the security, but they fail to embed strong security services that could be preserve patient privacy. Finally, hence proposed technique of a secure IoT based healthcare system using BSN, called BSN-Care, which can efficiently accomplish various security requirements of the BSN based healthcare system.
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MobiHealthcare System: Body Sensor Network Based M Health System for Healthcare Application

MobiHealthcare System: Body Sensor Network Based M Health System for Healthcare Application

Nowadays, the constraints in the healthcare of developing countries, including high population growth, a high burden of disease prevalence, low health care workforce, large numbers of rural inhabitants, and limited financial resources to support healthcare infrastructure and health informa- tion systems, accompanied with the improvement of po- tential of lowering information and transaction costs in healthcare delivery due to the explosively access of mo- bile phones to all segments of a country, has motivated the development of mobile health or m-health field. M-health is known as the practice of medical and public health supported by mobile devices such as mobile phones and PDAs for delivering medical and healthcare services [1]. Thus, the popularity of m-health can be subjected to the development of wearable medical devices and wire- less communication technology. In order to fully utilize wireless technology between the wearable medical de- vices, the concept of body sensor network (BSN), which is a kind of wireless sensor network around human body, was proposed in Year 2002 with its emerging applica- tions such as M-Health followed [2-4]. Figure 1 demon- strates a BSN based M-Health system. In a typical system, each sensor node collects various physiological signals in order to monitor the patient's health status no matter their
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Human Body Communication Using IoT with GSM Enabled Healthcare Monitoring System

Human Body Communication Using IoT with GSM Enabled Healthcare Monitoring System

A. Array of Sensors: A detector array may be a cluster of sensors, typically deployed during a bound pure mathematics pattern, used for collection and process magnetic attraction or acoustic signals. The advantage of employing a sensing element array over employing a single sensing element lies within the indisputable fact that associate array adds new dimensions to the observation, serving to estimate a lot of parameters and improve the estimation performance. For example, an array of radio antenna elements used for beam forming can increase antenna gain in the direction of the signal while decreasing the gain in other directions, i.e., increasing the signal-to- noise ratio (SNR) by amplifying the signal coherently. A body area network (BAN), also referred to as a wireless body area network (WBAN) or a body sensor network (BSN), is a wireless network of wearable computing devices. BAN devices is also embedded within the body, implants is also surface- mounted on the body in an exceedingly mounted position wearable technology or is also attended devices that humans will carry in several positions, in garments pockets, by hand or in numerous baggage.
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Highly Secured IoT Based Health Care System for Elderly People using Body Sensor Network

Highly Secured IoT Based Health Care System for Elderly People using Body Sensor Network

ABSTRACT: It is very important to monitor various medical parameters and post operational data. To access the patient’s medical parameters in local and remote area, healthcare communication using Internet of Things (IoT) method is adapted. The main objective of this project is to transmitting the patient’s health monitoring parameters through wireless communication. These input data are uploaded in cloud server and transmitted to the computer and mobile for family and doctor’s reference. Advances in information and communication technologies have led to the emergence of Internet of Things (IoT). In the modern health care environment, the usage of IoT technologies brings convenience of physicians and patients, since they are applied to various medical areas (such as real-time monitoring, patient information management, and healthcare management). The body sensor network (BSN) technology is one of the core technologies of IoT developments in healthcare system, where a patient can be monitored using a collection of tiny- powered and lightweight wireless sensor nodes. However, the development of this new technology in healthcare applications without considering security makes patient privacy vulnerable. In this paper, at first, we highlight the major security requirements in BSN-based modern healthcare system. Subsequently, we propose a secure IoT-based healthcare system using BSN, called BSN-Care, which can efficiently accomplish those requirements.
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Design of IOT enabled Wireless Body Area Network System for Modern Medical Care Monitoring

Design of IOT enabled Wireless Body Area Network System for Modern Medical Care Monitoring

This proposed research is aimed to monitor the various health related parameters of the patient using various sensors concerned. these sensors are intact attached to the patient’s body and collect the data in analog form. This analog data is converted in real time into digital form using an ADC available in the RPi. The raspberry pi then acts as a central processing unit which processes these digital records and dataand then sends this computed data to the cloud. In thismannerthe raspberry pi is used to implement IOT with the help of various sensors, actuators and Wi-Fi module. Whenever there is a rapid discrepancy in the output of the sensors which might be below or above the prescribed threshold of the patient, an alarm message / signal indication is being sent to the registered mobile number / email which will be already defined.
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IoT based Human Body Parameters Monitoring by using Wearable Wireless Sensor Network

IoT based Human Body Parameters Monitoring by using Wearable Wireless Sensor Network

existence and reduces cost of electrical wiring and uses the already available power line wires known as the power line communication. The intent of this work is to send the biomedical parameters like the heart rate, respiration rate and body temperature through PLC system [6] Some of the elder care systems as mentioned in [7] monitor activities of the elders in their home. They embed a video system in the living environment of elders and continuously monitor their activities at home. However, this system doesn’t measure any of the vital parameters of the elderly patient. Measuring the vital parameters is inevitable if the elder person suffers from any sort of heart ailments, which are very common in individuals aged above 60 [8]. In mobile devices like Calyx (Complete Ambient Assisted Living Experiment) which can measure vital signs like ECG, pulse, Blood pressure, Movement and Fall detection. However, the design we have proposed can monitor vital parameters and fall detection along with tilt monitoring for the bed-ridden patients to monitor any case of bedsore. Some devices as in [9] monitor only fall detection for the elderly patients based on the sensor readings from accelerometers and microphones attached to the body of the patients. The system proposed in [10] is applicable to patients. And elders for activity monitoring and fall detection and also sports athletes exercise measurement and pattern analysis. [11] A wearable wireless sensor network using accelerometers has been developed in this paper to determine the arm motion in the sagittal plane. The system provides unrestrained movements and improves its usability. The lightweight and compact size of the developed sensor node makes its attachment to the limb easy. Experimental results have shown that the system has good accuracy and response rate when compared with a goniometer.
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Healthcare Monitoring System Based on Wireless Sensor Network for Cardiac Patients

Healthcare Monitoring System Based on Wireless Sensor Network for Cardiac Patients

have the highest number of heart disease cases in the world. These types of cardiovascular diseases need continuous monitoring of certain body parameters which need long hospital stays. In the hospitals patients are monitored continuously by hospital staff using various instruments like bedside monitors. These instruments are bulky and immobile and thus keep patients stick to the bed. Their wired connections are very uncomfortable to patients and medical staff also. Due to mounting hospital costs and shortage of qualified healthcare

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A survey on Anomaly detection techniques for IoT based Healthcare systems in Smart Cities: Techniques, Issues, and opportunities.

A survey on Anomaly detection techniques for IoT based Healthcare systems in Smart Cities: Techniques, Issues, and opportunities.

Wearable sensor hubs are those that measure physiological conditions. Prescribed sensors are those that measure the first signs beat, respiratory rate, and body temperature as these are the vital signs for assurance of fundamental wellbeing. Further sensors that could be actualised are pulse and blood oxygen sensors, as these parameters are regularly taken nearby the three vital signs. Extraordinary reason sensors, for example, blood glucose, fall discovery, and standard point sensors could likewise be actualized for frameworks focusing on a particular condition. The focal hub gets information from the sensor hubs. It forms this data, may execute some essential leadership, and after that advances the knowledge to an outside area.
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Reinforced Pet Healthcare Monitoring System using RSSI Technology and IOT

Reinforced Pet Healthcare Monitoring System using RSSI Technology and IOT

According to research[1],Wearable Heart Rate Sensor System for Wireless Canine Health Monitoring as been developed. Interpreting the emotional state underlying canine behaviour is essential in human-canine interactions, to achieve effective training, and to improve canine welfare. Combined with parallel efforts to use IMUs to identify dog behaviours, these physiological sensors will contribute to a canine-body area network to wirelessly and continuously collect data during canine activities with a long-term goal of effectively capturing and interpreting dogs’ behavioural responses to environmental stimuli that may yield measurable benefits to handlers’ interactions with their dogs. There are some disadvantages that this system can be used only for certain conditions such as while the dog is sitting or running and the developed system can be used only for a particular animal here i.e., dog.
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Modern Secured Li Fi Healthcare System by using Body Sensor Network

Modern Secured Li Fi Healthcare System by using Body Sensor Network

Micro-controllers are programmed controllers, where several functions are carried out by debugging or dumping the programs into them by a programming platform. PIC microcontroller programming is carried out by MP Lab IDE which stands for MP Lab Integrated Development Environment. MP Lab IDE is a free software tool which is used by most of the micro-controllers like PIC and dsPIC. The MP Lab IDE uses NetBeans as a programming platform and the program is dumped to the controller only using a PIC kit (Debugger).

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A Secure Iot Based Modern Health Care System Using Body Sensor Networks

A Secure Iot Based Modern Health Care System Using Body Sensor Networks

Experiments in humans utilizing modern invasive and non-invasive brain imaging technologies as interfaces have been conducted. The most commonly studied potential interface for humans has been electro encephalography (EEG), mainly due to its fine temporal resolution, ease of use, portability, and cost of set-up. However practical use of EEG as a BCI requires a great deal of user training and is highly susceptible to noise. In 2004 scientists of the Fraunhofer Society utilized neural networks to shift the learning phase from the user to the computer and thus recorded noticeable results within 30 minutes of training. Magnetoencephalography (MEG) and even functional magnetic resonance imaging (fMRI) have both been used successfully as rudimentary BCIs, in the latter case allowing two users being scanned in real-time to play Pong against one another by altering their haemodynamic response through various biofeedback techniques.
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Home Based Mostly Health Observance System Victimization Android smart phone

Home Based Mostly Health Observance System Victimization Android smart phone

Patient monitoring systems are gaining their importance as the fast-growing global elderly population increases demands for caretaking. These systems use wireless technologies to transmit vital signs for medical evaluation. The aim of the project is to provide a better health care to people from house in more economic and pertinent friendly manner. The need of home based health monitoring system is increased now days because health care cost is increasing exponentially in last few decades. In the proposed home based health monitoring system using android smart phone includes the aspects of acquisition of medical parameters like Body temperature, Pulse rate and ECG. Processing of a collected data using ARM7 (LPC2148) processer and processed data is then displayed on doctors or relatives android mobile phones. Also the data can be displayed on personal computer. The system is utilizing a low cost component to transmit data like ECG to physician for monitoring; diagnosis and patients care at significantly low cost, regardless of patient’s location.
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