The document discusses Wireless Body Area Networks (WBANs). It defines WBANs and outlines their history and development. The key aspects covered include WBAN architecture, applications for healthcare, assisted living and entertainment, challenges and future scope. WBANs have the potential to revolutionize healthcare through continuous patient monitoring and early disease detection using small wearable sensors.
This document discusses wireless body area networks (WBANs), which allow for inexpensive and continuous health monitoring through connecting various medical sensors and appliances located inside and outside the human body via wireless communication. WBANs have a three-tier architecture, consisting of intelligent sensor nodes on the body (Tier 1), a personal server like a cell phone (Tier 2) that interfaces with the sensors, and a medical server (Tier 3) that authenticates users, stores patient data, analyzes sensor data, and can alert emergency services if needed. WBANs allow remote monitoring of patients with chronic conditions and can alert hospitals to health issues even before symptoms occur.
The presentation discusses body area networks (BANs), which are wireless networks of wearable devices that communicate data about the human body. BANs include sensors that can monitor vital signs and actuators that provide feedback or treatment. Common applications of BANs in healthcare include monitoring heart function, diabetes, and movement disorders. The presentation covers the hardware and software architecture of BANs, challenges around security and privacy, and the potential for BANs to improve healthcare through continuous remote patient monitoring.
This document outlines a proposed wireless body area network (WBAN) system for ubiquitous and affordable healthcare. It begins with an introduction to WBANs and their use in continuous health monitoring. A 3-tier network architecture is proposed, consisting of wearable sensor nodes, a personal server, and a medical server. The document discusses the existing holter monitor system, proposed WBAN system capabilities, data flow, network positioning, system requirements, security considerations, applications, and comparisons to other wireless networks. Potential advantages include remote health monitoring and early disease detection, while challenges include interference between devices and lack of sensor integration.
This document summarizes a student's seminar presentation on Wireless Body Area Networks (WBANs). The key points are:
1. WBANs allow for monitoring of a person's health conditions anywhere through integration of intelligent, low-power sensor nodes on or inside the body.
2. A 3-tier architecture is used, including sensors on the body (Tier 1), a personal server (Tier 2) that connects to sensors and sends data to medical servers, and medical servers (Tier 3) that analyze data and manage medical records.
3. Common technologies used in WBANs include ZigBee, IEEE 802.15.4, and Bluetooth Low Energy due to their
This presentation provides an overview of wireless body area networks (WBANs) including:
- WBANs use wireless networking technology to interconnect sensors on or in the human body to monitor physiological data.
- A typical WBAN consists of multiple sensor nodes measuring data like ECG, blood pressure, motion that communicate wirelessly.
- Challenges for WBANs include hardware limitations, security of medical data, and limited battery life of sensor nodes.
- WBANs have applications in remote health monitoring and medical research through projects like MobiHealth.
This document discusses body sensor networks (BSN) and related research challenges. It provides background on Imperial College London and the evolution of computing technologies. It then discusses several technical challenges for BSN including biocompatibility, low power design, wireless communication, autonomic sensing, and standards/integration. Examples of BSN applications discussed include healthcare/wellbeing monitoring and sports/entertainment. The document concludes with a discussion of various probabilistic models for activity recognition in BSN.
The document discusses Wireless Body Area Networks (WBANs). It defines WBANs and outlines their history and development. The key aspects covered include WBAN architecture, applications for healthcare, assisted living and entertainment, challenges and future scope. WBANs have the potential to revolutionize healthcare through continuous patient monitoring and early disease detection using small wearable sensors.
This document discusses wireless body area networks (WBANs), which allow for inexpensive and continuous health monitoring through connecting various medical sensors and appliances located inside and outside the human body via wireless communication. WBANs have a three-tier architecture, consisting of intelligent sensor nodes on the body (Tier 1), a personal server like a cell phone (Tier 2) that interfaces with the sensors, and a medical server (Tier 3) that authenticates users, stores patient data, analyzes sensor data, and can alert emergency services if needed. WBANs allow remote monitoring of patients with chronic conditions and can alert hospitals to health issues even before symptoms occur.
The presentation discusses body area networks (BANs), which are wireless networks of wearable devices that communicate data about the human body. BANs include sensors that can monitor vital signs and actuators that provide feedback or treatment. Common applications of BANs in healthcare include monitoring heart function, diabetes, and movement disorders. The presentation covers the hardware and software architecture of BANs, challenges around security and privacy, and the potential for BANs to improve healthcare through continuous remote patient monitoring.
This document outlines a proposed wireless body area network (WBAN) system for ubiquitous and affordable healthcare. It begins with an introduction to WBANs and their use in continuous health monitoring. A 3-tier network architecture is proposed, consisting of wearable sensor nodes, a personal server, and a medical server. The document discusses the existing holter monitor system, proposed WBAN system capabilities, data flow, network positioning, system requirements, security considerations, applications, and comparisons to other wireless networks. Potential advantages include remote health monitoring and early disease detection, while challenges include interference between devices and lack of sensor integration.
This document summarizes a student's seminar presentation on Wireless Body Area Networks (WBANs). The key points are:
1. WBANs allow for monitoring of a person's health conditions anywhere through integration of intelligent, low-power sensor nodes on or inside the body.
2. A 3-tier architecture is used, including sensors on the body (Tier 1), a personal server (Tier 2) that connects to sensors and sends data to medical servers, and medical servers (Tier 3) that analyze data and manage medical records.
3. Common technologies used in WBANs include ZigBee, IEEE 802.15.4, and Bluetooth Low Energy due to their
This presentation provides an overview of wireless body area networks (WBANs) including:
- WBANs use wireless networking technology to interconnect sensors on or in the human body to monitor physiological data.
- A typical WBAN consists of multiple sensor nodes measuring data like ECG, blood pressure, motion that communicate wirelessly.
- Challenges for WBANs include hardware limitations, security of medical data, and limited battery life of sensor nodes.
- WBANs have applications in remote health monitoring and medical research through projects like MobiHealth.
This document discusses body sensor networks (BSN) and related research challenges. It provides background on Imperial College London and the evolution of computing technologies. It then discusses several technical challenges for BSN including biocompatibility, low power design, wireless communication, autonomic sensing, and standards/integration. Examples of BSN applications discussed include healthcare/wellbeing monitoring and sports/entertainment. The document concludes with a discussion of various probabilistic models for activity recognition in BSN.
This document provides an overview of wireless body area networks (WBANs). It defines WBANs as low-power wireless networks designed for use on or around the human body to monitor vital signs. The document outlines the key components of a WBAN including body sensor units that measure parameters, a body control unit that receives and saves data, and a 3-tier architecture involving sensors, personal devices, and medical servers. Challenges, applications, research areas and the future scope of WBANs are also discussed.
Gain advanced knowledge about BAN (Body Area Networks)
Topics to be covered in BAN :-
* What is BAN?
* Concept of BAN
* BAN is growing silently!!!
* Advantages of BAN
* Why BAN operates at very low power and Why it is secure?
* Types of data transmission techniques used in BAN
* Focusing on electric-field communication for BAN applications
* Disadvantages of these both over Electric-field communication
* Propagating digital signals between sites on the skin
* Principle of electric-field communication
* Steps to Propagate digital signals between sites on the skin
* Requirements of WBAN
* What is Access Point, Gateway & Actuator?
* A three-tier architecture for WBANs
* Applications of BAN
* Challenges of Radio Technologies in BANs
* What is Duty Cycle & Miniaturization
* WBAN(or BAN) Standards and Technologies
* IEEE 802.15.6 WBAN
Wireless Body Area Networks for healthcare (Wban)no0orcom
This document discusses wireless body area networks (WBANs) for healthcare applications. It begins with an introduction that outlines the need for improved healthcare services and how WBANs address this need by allowing patients to be monitored without restricting mobility. Major challenges for WBANs are then discussed, including reliability, energy efficiency, security and privacy, and network coexistence. Solutions to these challenges are also proposed, such as more energy efficient communication protocols and network coding to improve reliability. The document concludes by discussing directions for future work to further address challenges like energy consumption and improve data access and delivery.
This document provides an overview of wireless body area networks (WBANs) for health monitoring applications. It discusses the history and components of WBANs, including wearable and implanted sensors, network architecture with intra-body, inter-body and beyond-body communication tiers, and common radio technologies like Bluetooth and Zigbee. It also examines MAC protocols, security requirements, applications, and concludes by discussing the benefits of continuous health monitoring using WBANs.
A Body Area Network is formally defined by IEEE 802.15 as, "a communication
standard optimized for low power devices and operation on, in or around the human body
(but not limited to humans) to serve a variety of applications including medical, consumer
electronics / personal entertainment and other" [IEEE 802.15]. In more common terms, a
Body Area Network is a system of devices in close proximity to a person’s body that
cooperate for the benefit of the user.
This presentation was presented by Nawal KIshore Kundan under the guidance of Ms. Ancy Zacharia.
This document provides an overview of wireless body area networks (WBANs), including a definition, description of components, architecture, technologies used, advantages, applications, challenges, and security considerations. A WBAN allows integration of low-power sensor nodes on or around the human body to monitor biological functions. It has a 3-tier architecture consisting of body sensors, a personal server, and a medical server. Technologies used include ZigBee, Bluetooth Low Energy, and IEEE 802.15.4. WBANs enable various healthcare and fitness applications but also face challenges related to interference, integration, and security of medical data.
This document discusses wireless body area networks (WBANs) and their applications. It first describes how WBANs can continuously monitor health and share information with remote care providers. There are two types of WBAN applications - medical and non-medical. Medical sensors include wearable sensors like pulse oximeters and electrocardiography sensors, as well as implantable sensors like glucose monitors and neural stimulators. The document also discusses WBAN challenges like power efficiency and security protocols. It concludes that WBANs have potential to improve healthcare by enabling early problem detection and improving quality of life.
Revised edition of IoT with more knowledge ,advantages of iot,results of iot,methodology,block diagram,flowchart of iot,details of hardware and software,details of sensor and powerfull features with diagram ,digramatical representation of iot will found very useful to the beginners also .domain iot in healthcare
A wireless body area network (WBAN) is a special purpose sensor network designed to operate autonomously to connect various medical sensors and appliances , located inside and outside the body.
This document provides an overview of a senior design project to create a prototype wireless body area network (WBAN) consisting of a custom body sensor unit (BSU) and an Android-based body control unit (BCU). The BSU hardware prototype measures motion data from an accelerometer and gyroscope, timestamps the data, transmits it to the BCU via Bluetooth, and stores 30 minutes of data locally. The BCU is an Android phone running a custom app that receives the data, stores 8 hours of data locally, and allows the user to view the data. The project aimed to design compact, lightweight, long-lasting devices to monitor patients and help reduce healthcare costs through remote monitoring.
A wireless sensor network has important applications such as remote environmental monitoring and target tracking, particularly in recent years with the help of sensors that are smaller, cheaper, and intelligent. Sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. A WSN consists of a number of sensor nodes (few tens to thousands) working together to monitor a region to obtain data about the environment. The design of a WSN depends significantly on the application, and it must consider factors such as the environment, the applications design objectives, cost, hardware, and system constraints.
Current Activities in WSN: Developing test bed for target tracking Using Passive Infrared and Ultrasonic Sensors Improving the delivery rate in low power wireless networks .Guided Navigation of Friendly Vehicle towards tracked Object. Design and development of smart mines and explosive ordinance for intelligent activation and deactivation and safe recovery based on secure WSN. Design of a data mule for data collection from remotely placed sensor nodes
The course gives the thorough concepts of the wireless sensor networks, applications examples. It also gives detailed study of sensor node architecture and various protocols used in wireless sensor networks. It also covers issues related to topology, clustering ,synchronization and operating execution environment used for wireless sensor networks.
Wireless sensor network and its applicationRoma Vyas
The document discusses wireless sensor networks (WSN) and their applications. It defines a WSN as a collection of sensor nodes that communicate wirelessly and self-organize after deployment. Sensor nodes collect data at regular intervals, convert it to electrical signals, and send it to a base station. The document outlines the components of sensor nodes and describes how WSNs are used for applications like forest fire detection, air/water pollution monitoring, landslide detection, and military surveillance. It also discusses the TinyOS operating system commonly used for WSNs and its features for efficiently utilizing energy in sensor nodes.
Infrared LANs use infrared light, which is invisible light just beyond the red end of the visible spectrum, to transmit data within a single room. They have strengths like virtually unlimited spectrum availability allowing for high data rates, but weaknesses include interference from background light sources and power limitations due to safety and power consumption concerns. Transmission techniques for infrared LANs include directed beams, omnidirectional, and diffuse reflection off ceilings.
This document provides an introduction to brain-computer interfaces (BCI). It discusses how BCI works by using sensors implanted in the motor cortex to detect brain signals which are then translated by a computer into commands. The document outlines different types of invasive and non-invasive BCI and describes several applications including using thought to control prosthetics, transmit images to the blind, or allow communication for the mute. Potential advantages are restoring functionality for the paralyzed or disabled.
Wi-Fi uses radio waves to transmit data through the air according to the IEEE 802.11 standards. It allows computers and other devices to connect to the internet and each other wirelessly. The 802.11 standards include 802.11b, 802.11a, 802.11g, 802.11n, and 802.11ac which provide different speeds and capabilities. Wi-Fi networks use access points, wireless cards, and security protocols like WEP, WPA, and WPA2 to transmit data securely between devices over short ranges.
A wireless local area network (WLAN) uses radio frequency technology to transmit and receive data over the air, providing mobility and flexibility as an extension or alternative to wired networks. Key advantages of WLANs include productivity, convenience, lower installation costs and mobility. However, WLANs also have disadvantages such as higher costs for wireless network cards and access points, susceptibility to environmental interference, and lower bandwidth capacity compared to wired networks. Common applications of WLANs include use in corporate, education, medical and temporary settings.
Spread spectrum communication uses wideband noise-like signals that are hard to detect, intercept, or jam. It spreads data over multiple frequencies. There are two main techniques: direct sequence spread spectrum multiplies a data signal by a pseudorandom code, and frequency hopping spread spectrum modulates a narrowband carrier that hops between frequencies. Spread spectrum provides benefits like resistance to interference and jamming, better signal quality, and inherent security. It finds applications in wireless networks, Bluetooth, and CDMA cellular systems.
This document discusses wireless body area networks (WBANs) and some of the key considerations for their design and implementation. WBANs allow for communication between devices worn on or implanted in the human body. Key application areas include healthcare, fitness/sports, defense, and entertainment. Moving communications to higher millimeter wave frequencies offers advantages like increased data rates and security, but introduces challenges from atmospheric absorption and varying channel characteristics based on the human body. Ongoing research seeks to better characterize the on-body communication channel and develop optimized antennas and sensor network designs for WBANs.
This document summarizes a survey on wireless body area networks (WBANs). It begins by defining WBANs and their applications in health monitoring. It describes the typical architecture of a WBAN system, which consists of on-body and in-body sensor nodes that communicate wirelessly with a coordinator that transfers data to medical servers. The document then discusses some key differences between WBANs and traditional wireless sensor networks, such as lower node density and support for human mobility in WBANs. It also outlines several challenges for WBANs, such as limited power, security, interference, and regulatory requirements due to devices being implanted or worn on the human body. Finally, it provides examples of medical and
This document provides an overview of wireless body area networks (WBANs). It defines WBANs as low-power wireless networks designed for use on or around the human body to monitor vital signs. The document outlines the key components of a WBAN including body sensor units that measure parameters, a body control unit that receives and saves data, and a 3-tier architecture involving sensors, personal devices, and medical servers. Challenges, applications, research areas and the future scope of WBANs are also discussed.
Gain advanced knowledge about BAN (Body Area Networks)
Topics to be covered in BAN :-
* What is BAN?
* Concept of BAN
* BAN is growing silently!!!
* Advantages of BAN
* Why BAN operates at very low power and Why it is secure?
* Types of data transmission techniques used in BAN
* Focusing on electric-field communication for BAN applications
* Disadvantages of these both over Electric-field communication
* Propagating digital signals between sites on the skin
* Principle of electric-field communication
* Steps to Propagate digital signals between sites on the skin
* Requirements of WBAN
* What is Access Point, Gateway & Actuator?
* A three-tier architecture for WBANs
* Applications of BAN
* Challenges of Radio Technologies in BANs
* What is Duty Cycle & Miniaturization
* WBAN(or BAN) Standards and Technologies
* IEEE 802.15.6 WBAN
Wireless Body Area Networks for healthcare (Wban)no0orcom
This document discusses wireless body area networks (WBANs) for healthcare applications. It begins with an introduction that outlines the need for improved healthcare services and how WBANs address this need by allowing patients to be monitored without restricting mobility. Major challenges for WBANs are then discussed, including reliability, energy efficiency, security and privacy, and network coexistence. Solutions to these challenges are also proposed, such as more energy efficient communication protocols and network coding to improve reliability. The document concludes by discussing directions for future work to further address challenges like energy consumption and improve data access and delivery.
This document provides an overview of wireless body area networks (WBANs) for health monitoring applications. It discusses the history and components of WBANs, including wearable and implanted sensors, network architecture with intra-body, inter-body and beyond-body communication tiers, and common radio technologies like Bluetooth and Zigbee. It also examines MAC protocols, security requirements, applications, and concludes by discussing the benefits of continuous health monitoring using WBANs.
A Body Area Network is formally defined by IEEE 802.15 as, "a communication
standard optimized for low power devices and operation on, in or around the human body
(but not limited to humans) to serve a variety of applications including medical, consumer
electronics / personal entertainment and other" [IEEE 802.15]. In more common terms, a
Body Area Network is a system of devices in close proximity to a person’s body that
cooperate for the benefit of the user.
This presentation was presented by Nawal KIshore Kundan under the guidance of Ms. Ancy Zacharia.
This document provides an overview of wireless body area networks (WBANs), including a definition, description of components, architecture, technologies used, advantages, applications, challenges, and security considerations. A WBAN allows integration of low-power sensor nodes on or around the human body to monitor biological functions. It has a 3-tier architecture consisting of body sensors, a personal server, and a medical server. Technologies used include ZigBee, Bluetooth Low Energy, and IEEE 802.15.4. WBANs enable various healthcare and fitness applications but also face challenges related to interference, integration, and security of medical data.
This document discusses wireless body area networks (WBANs) and their applications. It first describes how WBANs can continuously monitor health and share information with remote care providers. There are two types of WBAN applications - medical and non-medical. Medical sensors include wearable sensors like pulse oximeters and electrocardiography sensors, as well as implantable sensors like glucose monitors and neural stimulators. The document also discusses WBAN challenges like power efficiency and security protocols. It concludes that WBANs have potential to improve healthcare by enabling early problem detection and improving quality of life.
Revised edition of IoT with more knowledge ,advantages of iot,results of iot,methodology,block diagram,flowchart of iot,details of hardware and software,details of sensor and powerfull features with diagram ,digramatical representation of iot will found very useful to the beginners also .domain iot in healthcare
A wireless body area network (WBAN) is a special purpose sensor network designed to operate autonomously to connect various medical sensors and appliances , located inside and outside the body.
This document provides an overview of a senior design project to create a prototype wireless body area network (WBAN) consisting of a custom body sensor unit (BSU) and an Android-based body control unit (BCU). The BSU hardware prototype measures motion data from an accelerometer and gyroscope, timestamps the data, transmits it to the BCU via Bluetooth, and stores 30 minutes of data locally. The BCU is an Android phone running a custom app that receives the data, stores 8 hours of data locally, and allows the user to view the data. The project aimed to design compact, lightweight, long-lasting devices to monitor patients and help reduce healthcare costs through remote monitoring.
A wireless sensor network has important applications such as remote environmental monitoring and target tracking, particularly in recent years with the help of sensors that are smaller, cheaper, and intelligent. Sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. A WSN consists of a number of sensor nodes (few tens to thousands) working together to monitor a region to obtain data about the environment. The design of a WSN depends significantly on the application, and it must consider factors such as the environment, the applications design objectives, cost, hardware, and system constraints.
Current Activities in WSN: Developing test bed for target tracking Using Passive Infrared and Ultrasonic Sensors Improving the delivery rate in low power wireless networks .Guided Navigation of Friendly Vehicle towards tracked Object. Design and development of smart mines and explosive ordinance for intelligent activation and deactivation and safe recovery based on secure WSN. Design of a data mule for data collection from remotely placed sensor nodes
The course gives the thorough concepts of the wireless sensor networks, applications examples. It also gives detailed study of sensor node architecture and various protocols used in wireless sensor networks. It also covers issues related to topology, clustering ,synchronization and operating execution environment used for wireless sensor networks.
Wireless sensor network and its applicationRoma Vyas
The document discusses wireless sensor networks (WSN) and their applications. It defines a WSN as a collection of sensor nodes that communicate wirelessly and self-organize after deployment. Sensor nodes collect data at regular intervals, convert it to electrical signals, and send it to a base station. The document outlines the components of sensor nodes and describes how WSNs are used for applications like forest fire detection, air/water pollution monitoring, landslide detection, and military surveillance. It also discusses the TinyOS operating system commonly used for WSNs and its features for efficiently utilizing energy in sensor nodes.
Infrared LANs use infrared light, which is invisible light just beyond the red end of the visible spectrum, to transmit data within a single room. They have strengths like virtually unlimited spectrum availability allowing for high data rates, but weaknesses include interference from background light sources and power limitations due to safety and power consumption concerns. Transmission techniques for infrared LANs include directed beams, omnidirectional, and diffuse reflection off ceilings.
This document provides an introduction to brain-computer interfaces (BCI). It discusses how BCI works by using sensors implanted in the motor cortex to detect brain signals which are then translated by a computer into commands. The document outlines different types of invasive and non-invasive BCI and describes several applications including using thought to control prosthetics, transmit images to the blind, or allow communication for the mute. Potential advantages are restoring functionality for the paralyzed or disabled.
Wi-Fi uses radio waves to transmit data through the air according to the IEEE 802.11 standards. It allows computers and other devices to connect to the internet and each other wirelessly. The 802.11 standards include 802.11b, 802.11a, 802.11g, 802.11n, and 802.11ac which provide different speeds and capabilities. Wi-Fi networks use access points, wireless cards, and security protocols like WEP, WPA, and WPA2 to transmit data securely between devices over short ranges.
A wireless local area network (WLAN) uses radio frequency technology to transmit and receive data over the air, providing mobility and flexibility as an extension or alternative to wired networks. Key advantages of WLANs include productivity, convenience, lower installation costs and mobility. However, WLANs also have disadvantages such as higher costs for wireless network cards and access points, susceptibility to environmental interference, and lower bandwidth capacity compared to wired networks. Common applications of WLANs include use in corporate, education, medical and temporary settings.
Spread spectrum communication uses wideband noise-like signals that are hard to detect, intercept, or jam. It spreads data over multiple frequencies. There are two main techniques: direct sequence spread spectrum multiplies a data signal by a pseudorandom code, and frequency hopping spread spectrum modulates a narrowband carrier that hops between frequencies. Spread spectrum provides benefits like resistance to interference and jamming, better signal quality, and inherent security. It finds applications in wireless networks, Bluetooth, and CDMA cellular systems.
This document discusses wireless body area networks (WBANs) and some of the key considerations for their design and implementation. WBANs allow for communication between devices worn on or implanted in the human body. Key application areas include healthcare, fitness/sports, defense, and entertainment. Moving communications to higher millimeter wave frequencies offers advantages like increased data rates and security, but introduces challenges from atmospheric absorption and varying channel characteristics based on the human body. Ongoing research seeks to better characterize the on-body communication channel and develop optimized antennas and sensor network designs for WBANs.
This document summarizes a survey on wireless body area networks (WBANs). It begins by defining WBANs and their applications in health monitoring. It describes the typical architecture of a WBAN system, which consists of on-body and in-body sensor nodes that communicate wirelessly with a coordinator that transfers data to medical servers. The document then discusses some key differences between WBANs and traditional wireless sensor networks, such as lower node density and support for human mobility in WBANs. It also outlines several challenges for WBANs, such as limited power, security, interference, and regulatory requirements due to devices being implanted or worn on the human body. Finally, it provides examples of medical and
This document provides an overview of wireless body area networks (WBANs). It discusses what WBANs are, how they work by inserting sensors inside or outside the body to monitor things like temperature, blood pressure, etc. It describes the challenges of WBANs, including security, interoperability, interference and cost. Applications mentioned include using WBANs to automatically inject insulin for diabetic patients. The conclusion restates that WBANs allow for low cost health monitoring and use of technology in medicine.
This document summarizes a review paper on Wireless Body Area Networks (WBANs) by Fentahun Yersie. It discusses that WBANs consist of small intelligent devices attached to or implanted in the body that wirelessly communicate health and physiological data. It describes the two main types of devices as sensors that measure parameters like heartbeat and temperature, and actuators that take actions based on sensor data. The document outlines the typical three-level architecture of WBANs and common applications like remote health monitoring. It also discusses the key requirements for WBAN MAC protocols including reducing energy consumption through efficient handling of collision, overhearing, idle listening while supporting communication across multiple frequency bands.
A Low Power Wearable Physiological Parameter Monitoring Systemijsrd.com
The design and development of a low power wearable physiological parameter monitoring system have been developing and reporting in this paper. The system can be used to monitor physiological parameters, such as ECG signals, temperature and heartbeat. The system consists of an electronic device which is worn on the wrist and finger, by an at-risk person. Using several sensors to measure different vital signs, the person is wirelessly monitored within his own home. An epic sensor has been used to detect ECG signals. The device is battery powered for use outdoors. The device can be easily adapted to monitor athletes and infants. The low cost of the device will help to lower the cost of home monitoring of patients recovering from illness. A prototype of the device has been fabricated and extensively tested with very good results.
IRJET- Design and Implementation of Health Monitoring SystemIRJET Journal
This document summarizes the design and implementation of a health monitoring system. The system uses sensors like pulse, ECG and temperature sensors connected to an Arduino board to monitor a patient's health status. The sensor data is sent wirelessly to a cloud-based ThingSpeak server for storage and real-time monitoring via a mobile application. The system allows doctors to remotely monitor patients' health parameters like temperature, pulse and ECG from anywhere without needing to visit in-person.
Wireless Sensor Network: an emerging entrant in HealthcareIOSR Journals
This document discusses the potential for wireless sensor networks in healthcare applications. It describes how wireless sensor networks can be used to monitor patients remotely by collecting physiological data from sensor devices. Some challenges to the adoption of this technology in healthcare include ensuring privacy and security of medical data transmitted over wireless networks. The document also provides examples of how wireless body area networks and wearable sensor devices can help monitor aspects of health and enable at-home health monitoring.
This document describes an intelligent health care monitoring system using a wireless sensor network. It discusses using sensors to monitor patient vital signs like temperature, humidity, and heart rate. Sensor data is transmitted via CC2500 low power wireless radios to a centralized control room. The system aims to improve patient monitoring by making equipment more portable and allowing remote access to patient data by doctors through mobile devices. It concludes the proposed system can check various health parameters in real-time to monitor patient health more efficiently through energy efficient wireless communication between sensor nodes.
This document outlines a standards-driven technology architecture roadmap for digital health development. It discusses various topics including medical devices and classifications by the FDA, body area networks (BAN) that connect devices, connecting BANs to mobile devices, mobile medical applications, connecting mobile devices to networks, medical cloud services, and security standards. Key points covered include FDA classifications of medical devices, technologies and challenges of BANs, using mobile devices as hubs/gateways between BANs and networks, and connecting BANs in a hospital setting to multiple patients.
To deal with various technologies which provide smart sensing in healthcare and compare them for their energy usage and battery life and discuss the format of communication to the database of these devices. To put forward devices which use smart sensors in advanced medical check-ups. To discuss the prospects of upcoming technology called Smart Dust in e-health and its advantages and effects for better deployment of trustworthy services in healthcare keeping in mind all the capabilities of the Smart Sensor.
A 128 bit secret key generation using unique ecg bio-signal for medical data ...Karthikeyan Ece venkatesan
This document proposes a method for generating a 128-bit secret key from electrocardiogram (ECG) bio-signal parameters for securing medical data transmission in wireless body area networks (WBANs). It extracts features from the ECG signal like average time interval between peaks and beat rate using the Daubechies wavelet transform. These features are then used to generate a 128-bit secret key comprising 16-bit values for authentication between an external programmer and implanted medical sensor node. The proposed method aims to securely communicate patient data without pre-deploying keys by leveraging the unique and random nature of ECG bio-signals to generate keys in real-time.
This document describes a proposed Arduino-based human health care monitoring and control system. The system consists of three main units:
1. A sensor unit that acquires medical data like ECG, temperature, heart rate, and blood pressure from various sensors.
2. A controller unit (using an Arduino microcontroller) that compares the sensor data to normal values and can send control signals to the patient if abnormalities are detected.
3. A monitoring unit with an LCD display to show the sensor readings and system status.
The system is intended to continuously monitor vital health parameters and provide treatment or alerts if issues arise. This could help elderly or vulnerable people receive medical help and oversight without needing to be in a clinical setting
Energy-efficient cluster-based security mechanism for Wireless Body Area Netw...IJSRD
Rapid expansion of wireless technologies permits continuous healthcare monitoring of mobile patients using compact biomedical wireless sensor motes. These tiny wearable devices –have limited amount of memory, energy, computation, & communication capabilities – are positioned on a patient; after that , they self-configure to create a networked cluster that is capable to continuously monitor important signs like blood pressure and flow, ECG, core temperature, the oxygen saturation, and CO2 concentration (i.e. for the respiration monitoring). The WBAN is an energizing innovation that guarantees to convey the human services to a novel level of the personalization. The scaled down sensors can be worn on body and they can non-rudely screen individual's physiological state. The numerous sensors speak with mobile utilizing the remote interfaces shaping WBAN. The WBANs empower checking a singular's wellbeing consistently in the free living conditions, where individual is allowed to direct his or her day by day action. In propose, design a enhance cluster based protocol.
The Evolution of Wearable M-Health Applications - Mobile Health Expo New York...Ofer Atzmon
This document discusses the evolution of wearable mobile health applications. It defines wearable systems as integrating embedded non-invasive sensors, intelligent processing, and wireless communications to enable remote patient monitoring. Examples of recent products and research include smart garments, body area networks, and devices that monitor physiological and environmental parameters. While wearable systems face challenges in size, comfort and power consumption, advances in technology are making them more practical for both healthcare and consumer fitness applications.
Abstract: Wearable sensors that measure limb movements posture, and physiological conditions can yield high resolution quantitative data .It can be used to better understand the disease and develop more effective treatments. In existing, classification algorithm is used to extract the feature from sensor, so these feature selection may lead to rapid battery depletion due to the absence of computing complexity. The notion of power aware feature selection is proposed which aims at minimizing energy consumption also it considers the energy cost of individual features that are calculated in real time. A graph model is introduced to represent correlation and computing complexity of the features. The problem is formulated using integer programming and a greedy approximation is presented to select the features in a power efficient manner. Experimental results on thirty channels of activity data collected from real subjects demonstrate that an approach can significantly reduce energy consumption of the computing module, resulting in more than 30 percent energy savings while achieving 96.7 percent classification accuracy.
BSK-WBSN: BIOMETRIC SYMMETRIC KEYS TO SECURE WIRELESS BODY SENSORS NETWORKSIJNSA Journal
The Wireless Sensors Network (WSN) is an emergent technology resulting from progress of various fields. Many applications of networks WSN are born. One of the applications which have an operational effectiveness relates to the field of health and allows a medical remote support. Miniature wireless sensors, strategically placed on the human body, create a Wireless Body Sensor Network (WBSN) which allows supervising various essential biological signals (rate of heartbeat, pressure, etc). The sensitivity of medical information requires mechanisms of safety. This performance constitutes a challenge for WBSN because of their limitation in resources energy and data-processing. In this paper we propose a new approach to symmetric cryptographic key establishment, based on biometrics physiology. This approach takes into account WBSN constraints and its topology.
Wireless sensor networks and wearable devices are being used increasingly in medical applications to continuously monitor patients' vital signs. Sensors can measure body parameters like temperature, blood pressure, heart rate, blood sugar and more. These wireless medical sensors communicate information to devices on or near the body. They must be unobtrusive, secure, interoperable and provide reliable communication. Common examples include blood glucose sensors that use enzymes to detect glucose levels electrochemically. Advances in miniaturization and wireless connectivity are helping to expand medical monitoring through small, wearable biosensors.
This document summarizes literature on health care monitoring systems using wireless sensors and cloud storage. It discusses technologies like ZigBee, embedded microcontrollers, and Bluetooth that are used in wireless sensor networks to monitor patient vitals. The data collected is stored in the cloud and can be accessed by doctors. Challenges discussed include ensuring reliability, quality of service, security, and privacy of patient data. The literature proposes systems for continuous remote patient monitoring, early warning systems, and alerting doctors and caregivers of any issues.
In the age of today, technology pays attention to how it can be implemented in keeping people alive. It is clear that technology is offering the healthcare industry a much needed upgrade to mobile apps from medical translation resources that help patients lead healthier lives. One of the dizzying innovations that could change the healthcare industry is the wireless body area network WBAN .WBAN derives from the wireless sensor network WSN that deploys sensors over the human body. Wireless Body Area Network WBAN is a wireless networking system based on radio frequency RF that interconnects tiny nodes with sensor or actuator capabilities in, on, or around a human body. WBAN also links large and local area networks. As compared to WSN, WBAN has its own characteristics. Preeti Sondhi | Javaid Ahmad Malik "A Review of Wireless Body Area Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38384.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-network/38384/a-review-of-wireless-body-area-network/preeti-sondhi
Security in Body Sensor Networks for Healthcare applicationsIOSR Journals
This document summarizes security issues related to body sensor networks used for healthcare applications. It discusses how body sensor networks can monitor patient health using small, wireless medical sensors. However, installing new healthcare technologies without proper security and privacy protections puts patient data at risk. The document reviews various security techniques that have been implemented for body sensor networks, including identity-based encryption and symmetric key schemes. It also summarizes several existing body sensor network projects for healthcare and areas for future research such as enhancing functionality, protocols, technologies, and network channel allocation to improve security and privacy in wireless healthcare applications.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
3. What Next ?
So, What’s the next generation of Embedded
System that society needs ?
The field of wearables
“Body Area Network” looks promising.
4. History
Before the intro of BAN, the only device
similar to this kind of technology was called
“ Life Alert Emergency Response System”.
LAERS seems to do basically same things so
what’s so great about it ?
6. History
This means that more the older people,
there is greater the need for ways to
monitor their medical status and keep them
safer without forcing them to live at or
near hospital
7. What is BAN ?
It is a wireless network of wearable computing devices connected
to a cloud network in or around the human body to serve a
variety of applications.
8. BAN
A body area network (BAN) is the interconnection of multiple computing devices worn
on, affixed to or implanted in a person’s body.
Also referred as WBAN,WSN
Connecteverything youcarryonyou and withyou
Offer “Connected User”experience
The latest international standard for BANs is the IEEE 802.15.6 standard.
11. BAN Sensors
ECG (ElectroCardiogram) – Sensor for monitoring heart activity
EMG (Electromyography) - sensor to monitor muscle activity
EEG (Electroencephalography) – sensor to monitor brain electrical activity
Also there are other sensors like :
Blood pressure, tilt, movement, breathing sensors.
For ECG, electrodes are placed on the chest & recordings are from heart
electrical signals.
For EEG, Signal strength from brain is very low so they are amplified from EEG
then converted to A/D then monitored through spectrogram.
12. Wired vs Wireless
Wired Networks
Wired networks are reliable &
connection stable
Installation problem with users
Best if networked in garment
sensors.(suit)
High cost & maintainance
Cumbersome (larger or heavy)
• (especially if not part of suit)
Wireless BAN
o More physical mobility for users(running).
Easy Application & expansion
Smartphone acts as sink
Problems :
Interference with other BANs
Shadowing (amount of energy lost in body)
13. IEEE 802.15.6 Standard
The purpose of proposed standard is to provide an international standard
for short range (i.e proximity to human body range), low power and
highly reliable wireless communication for use in close proximity to or
inside the human body.
Current standard don’t meet the medical (proximity to human tissue)
and relevant communication regulation for some application environment.
They also don’t provide support for QoS (Combination of reliability), non-
interference, low power & data rate to broadly address the breath of
BAN.
14. IEEE 802.15.6 Requirement
10 Kbps – 10 Mbps
Ultra low power
125 ms latency (medical) & 250 ms (non-medical)
SAR (Specific Absorption rate) compliant (below 10dB)
MICS (Medical Implant Communication service) – specific frequency to communicate
ISM (Industrial Scientific Medical Radio Bands) – specific bands for communication
15. Types of Nodes
Wireless Sensor Node : To gather data on physical stumulii
Consist of sensor H/W, Power Unit, a processor, memory and transceiver.
o Wireless Actuator Node : Acts according to data from sensor.
o Wireless Personal Device : Gathers information from sensors/Actuators.
o Informs user (i.e, patient ,nurse) via external gateway, actuators or
display/LEDs.
16. Energy
Sensing, communication, Processing
Wireless communication most power hungry
Batteries : largest part of sensors, Weight (Bulky)
Implanted requires 5yrs+ lifetime
Cost & convenience penalty
Energy Consumption Making Energy
Energy Scavenging delivers small amount of energy.
Human gait (person manner of walking)
Temperature difference. (body -> Environment)
Vibration of body (run, walk, dance)
Bottom Line
Right now we are unable to create amount of energy needed to run system.
17. Effect of Energy on Body
During communication Body produce heat (Not good for BODY)
Absorption by surrounding tissue
Dangers of laptop on lap
Energy consumption need to be minimized
To save battery
To prevent body damage
18. Security
WBAN security requirements
Data confidentiality
Transmitted data is strictly private
Can only be accessed by authorized personal
Encryption before sending it using a secret key
Data Integrity
Ensure received information not tempered
Inspect by reffering MACs.
Data Freshness
Gurantess data is recent not replayed
Old data can cause disruption
20. Applications of BAN
Health Care
Entertainment and Sports
Body Sensor Networks
Fitness Monitoring
Etc.
21. Health Care
Current healthcare application of wireless sensor networks target heart problems cancer,
asthma, glucose level monitoring, stress monitoring etc.
Smart biosensors will open up new opportunities for continuous monitoring of patients.
24. Challenges
1. Hardware-centric Challenges
• Interoperability
• System and Device-level Security
• Data Consistency
• Interference
2. Human-centric Challenges
• Cost
• Constant Monitoring
• Consistent Performance
25. Advantages and Disadvantage of BAN
• Time and Energy Saving.
• Patients no need to connect to machine for monitoring.
• Continuous patient monitoring
• Ease in recovering lost military personel
• Sport coaches monitor their athelete performance
Advantages:
Disadvantages:
Wired network-restriction between the body Movement
Interference of the multi devices that share the channel
Lack of integration-sensors
Non existent support for massive data
26. Conclusion
A WBAN is expected to be a very useful technology with potential to offer
a wide range of benefits to patients, medical personnel and society
through continuous monitoring and early detection of possible problems.
The current technological evolutions will bring us closer to a fully
operational WBAN that acts as an enabler for improving the Quality of
Life.
27. Future Scope
The future market of WBAN is growing rapidly in the field
of medical as well as in the entertainmentindustry.
We believe that WBAN systems will allow a dramatic shift
in theway people think aboutand manage their health.
This provide more proactive preventive healthcare that will not
only improve the quality of life, but will also reduce healthcare
costs.