Wireless Body Area Network
•Download as PPTX, PDF•
3 likes•503 views
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.
Report
Share
Report
Share
Recommended
wireless body area networks(WBAN)
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.
Wireless Body Area Network (WBAN)
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
Wireless Body Area Network (WBAN) by Rayhan Khoka
This presentation introduces wireless body area networks (WBANs) and their potential for ubiquitous and affordable healthcare. WBANs use small, low-power wireless sensors integrated into wearable or implantable devices to monitor patients' health anywhere and automatically provide medication if needed. The presentation outlines existing monitoring systems, proposes a WBAN health monitoring system, and shows its data flow diagram. Applications of WBANs include medical healthcare, fitness, audio/video, military, security, and gaming. Advantages are disease detection and military communication assistance, while disadvantages include body movement restrictions, interference, and lack of sensor integration.
WIRELESS BODY AREA NETWORK
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.
WBAN(Wireless Body Area Network)
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.
Wban
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.
Wireless Body Area network
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.
Wireless body area network
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.
Recommended
wireless body area networks(WBAN)
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.
Wireless Body Area Network (WBAN)
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
Wireless Body Area Network (WBAN) by Rayhan Khoka
This presentation introduces wireless body area networks (WBANs) and their potential for ubiquitous and affordable healthcare. WBANs use small, low-power wireless sensors integrated into wearable or implantable devices to monitor patients' health anywhere and automatically provide medication if needed. The presentation outlines existing monitoring systems, proposes a WBAN health monitoring system, and shows its data flow diagram. Applications of WBANs include medical healthcare, fitness, audio/video, military, security, and gaming. Advantages are disease detection and military communication assistance, while disadvantages include body movement restrictions, interference, and lack of sensor integration.
WIRELESS BODY AREA NETWORK
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.
WBAN(Wireless Body Area Network)
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.
Wban
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.
Wireless Body Area network
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.
Wireless body area network
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.
Wireless body area network
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.
Body Area Network
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.
Wireless Body Area Networks for healthcare (Wban)
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.
Wireless Body Area Network (WBAN)
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.
Wireless Body Area Network
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.
WBAN
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.
Body sensor networks
A body area network (BAN), also referred to as a wireless body area network (WBAN) or a body sensor network (BSN) or a medical body area network (MBAN), is a wireless network of wearable computing devices.
Body Area Network Presentation
I presented this awesome emerging technology topic "Body Area Network" during my IOT presentation session.
Wireless body area network
WBAN is a network around the human body.
It allows the integration of intelligent, miniaturized, low
power sensor node in, on or around a human body to
monitoring body function.
It senses biological, physical, chemical changes of our
body and alarms the person who wears it.
It helps in auto medication in case of emergency
Body sensor networks: challenges & applications
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.
Wireless Body Sensor Networks
This presentation attempts to give an overlook of
- What is BSN ?
- Applications of WBSN
-Challenges and Solution
-Monitoring Pre-Schoolers using WBSN
Body based sensor network and its applications
Body-based sensor networks (BBSN) involve small wearable sensors that monitor aspects of human health. They work by collecting data from various sensors attached to the body and transmitting it wirelessly to central monitoring devices. Key applications of BBSNs include real-time detection of medical conditions like heart attacks using sensors that monitor electrocardiograms, temperature, and other vital signs. This can enable early diagnosis and treatment, reducing healthcare costs and deaths from conditions that currently go undetected. Future BBSNs are expected to allow for more proactive healthcare management and improved quality of life by facilitating continuous health monitoring.
Wireless Body Area Networks
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.
WSN IN BODY AREA NETWORK BASED ON EGERGY CONSERVATION
Here you will get the details of sensor working in body and our main focus in this topic is on energy effeciency
Seminar on Body Area Networks
The seminar covered data security, privacy, and applications in emerging body area networks (BANs). Key topics included typical BAN applications in healthcare, research challenges around frequency bands and hardware, and models proposed for secure data storage and access control. Four models were described in detail: one based on redundant residue number systems, one using erasure coding, one using constant data motion, and one using attribute-based encryption to implement fine-grained access control of encrypted health data in BANs.
Wireless microservers
This document discusses implementing a low-power wireless microserver with Bluetooth technology to allow mobile devices to remotely control electronic devices. Key points:
1) The microserver would be small, low-cost and pluggable, allowing it to be added to existing devices via a standard connector. This is preferable to embedding full servers directly into devices.
2) The microserver would run a simplified embedded WAP server over Bluetooth, allowing control of devices via a mobile phone browser interface.
3) User interfaces could either be pre-programmed or downloaded dynamically to plugged-in microservers from the Internet or device. This allows remote updating of interface content.
Wireless Microserver
The document discusses a wireless microserver based on Bluetooth technology that was developed with NASA sponsorship. It captures and distributes geographical image data from harsh environments using a wireless sensor network. The microserver was used to photograph an ash plume from an erupting volcano in 2006. Microservers have advantages of flexible design, power management capabilities, and no fundamental limits on what they can be used for or where.
wirelss sensor network
This document summarizes wireless sensor networks and motes. It discusses that motes are low-cost, low-power computers that monitor sensors and communicate wirelessly. Wireless sensor networks are formed from many motes that pass data along to each other. Example applications of wireless sensor networks include habitat monitoring, fire detection, and preventative maintenance. The document also discusses TinyOS, an open-source operating system for sensor networks, and some contributions to wireless sensor networks from the Dialog Lab, including developing a mote clone and researching data mules to extend network connectivity.
Medical mirror report
This document summarizes the key aspects of non-contact heart rate measurement using video images and blind source separation. It begins by introducing the need for non-invasive cardiovascular monitoring and photoplethysmography (PPG) as a method. An experimental setup using a webcam to record facial videos alongside a finger pulse sensor is described. The document then explains how blind source separation can be applied to the video images to extract heart rate measurements, tolerate motion artifacts, and measure heart rate from multiple persons simultaneously in a non-contact manner.
seminar report on wireless Sensor network
This document provides an overview of wireless sensor networks (WSNs) including their technologies, applications, architectures, and trends. It discusses how WSNs enable new applications through low-cost, low-power sensor nodes that can monitor environments. The document outlines several key applications of WSNs such as environmental monitoring, health monitoring, traffic control, and smart buildings. It also describes common WSN architectures including clustered and layered architectures.
A SURVEY ON WIRELESS BODY AREA NETWORK
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
2 pf implementation of wireless body area network ed iqbal qc
Patients in hospitals have issue with health instrumentality that's connected with wires to their body. Wired health instrumentality restricts the quality of the patient. Moreover, health caretaker’s area unit compelled to work the instrumentality and take the measurements. Hence, wireless observance of patient is incredibly effective resolution thereto drawback. The most target of this study was to analysis the present trend and prospect of wireless observance of patients within the hospitals. This study conjointly aims to create the epitome system to implement wireless observance. Additionally to that, this thesis conjointly studies most fitted technique for building the foremost effective wireless observance system. The sensing element nodes and receiver of the epitome were designed. Golem phone was used as entranceway to receive the information from sensing element node and forward the information into receiver. Bluetooth Low energy was wont to communicate between sensing element nodes and golem phone. LAN is employed to speak between golem phone and also the receiver that is connected to laptop. The sensing element readings were initially ascertained in Arduino Serial Monitor so sent to sink node. The sensing element readings of a body were displayed in golem phone and yet as within the web site. Real time information of sensing element was created and with success updated within the web site. The study of results and project showed that wireless observance would be terribly effective by exploitation Interference free, short vary and extremely secure suggests that of communication. Bluetooth low energy that is appropriate choice for the system. Style of sensing element nodes ought to be terribly tiny as a result of it's to be worn round the body. Therefore smaller parts ought to be used.
More Related Content
What's hot
Wireless body area network
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.
Body Area Network
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.
Wireless Body Area Networks for healthcare (Wban)
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.
Wireless Body Area Network (WBAN)
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.
Wireless Body Area Network
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.
WBAN
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.
Body sensor networks
A body area network (BAN), also referred to as a wireless body area network (WBAN) or a body sensor network (BSN) or a medical body area network (MBAN), is a wireless network of wearable computing devices.
Body Area Network Presentation
I presented this awesome emerging technology topic "Body Area Network" during my IOT presentation session.
Wireless body area network
WBAN is a network around the human body.
It allows the integration of intelligent, miniaturized, low
power sensor node in, on or around a human body to
monitoring body function.
It senses biological, physical, chemical changes of our
body and alarms the person who wears it.
It helps in auto medication in case of emergency
Body sensor networks: challenges & applications
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.
Wireless Body Sensor Networks
This presentation attempts to give an overlook of
- What is BSN ?
- Applications of WBSN
-Challenges and Solution
-Monitoring Pre-Schoolers using WBSN
Body based sensor network and its applications
Body-based sensor networks (BBSN) involve small wearable sensors that monitor aspects of human health. They work by collecting data from various sensors attached to the body and transmitting it wirelessly to central monitoring devices. Key applications of BBSNs include real-time detection of medical conditions like heart attacks using sensors that monitor electrocardiograms, temperature, and other vital signs. This can enable early diagnosis and treatment, reducing healthcare costs and deaths from conditions that currently go undetected. Future BBSNs are expected to allow for more proactive healthcare management and improved quality of life by facilitating continuous health monitoring.
Wireless Body Area Networks
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.
WSN IN BODY AREA NETWORK BASED ON EGERGY CONSERVATION
Here you will get the details of sensor working in body and our main focus in this topic is on energy effeciency
Seminar on Body Area Networks
The seminar covered data security, privacy, and applications in emerging body area networks (BANs). Key topics included typical BAN applications in healthcare, research challenges around frequency bands and hardware, and models proposed for secure data storage and access control. Four models were described in detail: one based on redundant residue number systems, one using erasure coding, one using constant data motion, and one using attribute-based encryption to implement fine-grained access control of encrypted health data in BANs.
Wireless microservers
This document discusses implementing a low-power wireless microserver with Bluetooth technology to allow mobile devices to remotely control electronic devices. Key points:
1) The microserver would be small, low-cost and pluggable, allowing it to be added to existing devices via a standard connector. This is preferable to embedding full servers directly into devices.
2) The microserver would run a simplified embedded WAP server over Bluetooth, allowing control of devices via a mobile phone browser interface.
3) User interfaces could either be pre-programmed or downloaded dynamically to plugged-in microservers from the Internet or device. This allows remote updating of interface content.
Wireless Microserver
The document discusses a wireless microserver based on Bluetooth technology that was developed with NASA sponsorship. It captures and distributes geographical image data from harsh environments using a wireless sensor network. The microserver was used to photograph an ash plume from an erupting volcano in 2006. Microservers have advantages of flexible design, power management capabilities, and no fundamental limits on what they can be used for or where.
wirelss sensor network
This document summarizes wireless sensor networks and motes. It discusses that motes are low-cost, low-power computers that monitor sensors and communicate wirelessly. Wireless sensor networks are formed from many motes that pass data along to each other. Example applications of wireless sensor networks include habitat monitoring, fire detection, and preventative maintenance. The document also discusses TinyOS, an open-source operating system for sensor networks, and some contributions to wireless sensor networks from the Dialog Lab, including developing a mote clone and researching data mules to extend network connectivity.
Medical mirror report
This document summarizes the key aspects of non-contact heart rate measurement using video images and blind source separation. It begins by introducing the need for non-invasive cardiovascular monitoring and photoplethysmography (PPG) as a method. An experimental setup using a webcam to record facial videos alongside a finger pulse sensor is described. The document then explains how blind source separation can be applied to the video images to extract heart rate measurements, tolerate motion artifacts, and measure heart rate from multiple persons simultaneously in a non-contact manner.
seminar report on wireless Sensor network
This document provides an overview of wireless sensor networks (WSNs) including their technologies, applications, architectures, and trends. It discusses how WSNs enable new applications through low-cost, low-power sensor nodes that can monitor environments. The document outlines several key applications of WSNs such as environmental monitoring, health monitoring, traffic control, and smart buildings. It also describes common WSN architectures including clustered and layered architectures.
What's hot (20)
WSN IN BODY AREA NETWORK BASED ON EGERGY CONSERVATION
WSN IN BODY AREA NETWORK BASED ON EGERGY CONSERVATION
Similar to Wireless Body Area Network
A SURVEY ON WIRELESS BODY AREA NETWORK
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
2 pf implementation of wireless body area network ed iqbal qc
Patients in hospitals have issue with health instrumentality that's connected with wires to their body. Wired health instrumentality restricts the quality of the patient. Moreover, health caretaker’s area unit compelled to work the instrumentality and take the measurements. Hence, wireless observance of patient is incredibly effective resolution thereto drawback. The most target of this study was to analysis the present trend and prospect of wireless observance of patients within the hospitals. This study conjointly aims to create the epitome system to implement wireless observance. Additionally to that, this thesis conjointly studies most fitted technique for building the foremost effective wireless observance system. The sensing element nodes and receiver of the epitome were designed. Golem phone was used as entranceway to receive the information from sensing element node and forward the information into receiver. Bluetooth Low energy was wont to communicate between sensing element nodes and golem phone. LAN is employed to speak between golem phone and also the receiver that is connected to laptop. The sensing element readings were initially ascertained in Arduino Serial Monitor so sent to sink node. The sensing element readings of a body were displayed in golem phone and yet as within the web site. Real time information of sensing element was created and with success updated within the web site. The study of results and project showed that wireless observance would be terribly effective by exploitation Interference free, short vary and extremely secure suggests that of communication. Bluetooth low energy that is appropriate choice for the system. Style of sensing element nodes ought to be terribly tiny as a result of it's to be worn round the body. Therefore smaller parts ought to be used.
Wireless body are network
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.
Body Area Networks (BANs) - PPT (By Study PPT)
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 Network A Review on Issues, Routing Techniques and Various...
Advancements in recent wireless technology, integrated circuit, electronic devices and autonomous sensing of physiological parameters, gave the birth of human monitoring system or short range wireless communication network, called Wireless Body Area Networks WBANs . It is one of the major applications of Wireless Sensor Networks WSNs , used in medical and as well as non-medical field. In WBAN, various tiny, intelligent, low powered and invasive non-invasive sensor nodes are placed inside or outside the human body to collect the data. These sensor nodes are referred to as independent device with limited communication capabilities. Deployed sensor nodes are intended to early detection of various types of life threatening diseases viz. cancer, asthma etc., using different types of biomedical sensor nodes like ECG Electrocardiogram , EEG Electroencephalogram , pulse rate, temperature, blood pressure etc. Madhukar Anand | Ravi Kumar Malik "Wireless Body Area Network: A Review on Issues, Routing Techniques and Various Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18627.pdf
Thermal-Aware Based Field Theory Routing in Wireless Body Area Networks
ABSTRACT:Wireless Body Area Networks (WBANs) have emerged as a powerful solution for healthcare applications. They investigate small devices that are instrumental for providing medical data to a remote base station. Recent developments in WBANs have led to wireless implantable sensors that are able to transmit in vivo measurements. Two key issues have been dominated the field of wireless implantable sensor networks: temperature rise and attenuation of the transmitted signals due to the properties of the skin. This paper addresses thermal-based routing in wireless implantable sensor networks. Different from the existing methods that estimate the temperature of the neighboring sensors, our method is based on the field theory to avoid the hotspots. Furthermore, we conducted an Omnet++ simulation that supports IEEE 802.11 which promotes an implementation of CSMA/CA MAC scheduling. Our simulation results demonstrate the convergence of the maximum temperature rise. Keywords:WBANs, routing, implantable sensors, field theory, Omnet++, temperature rise.
Wireless applications in various areas
it has a small description about how wireless sensor system network can be applied in various field. A application of leaksge detection is discussed in detail.
Smart sensor technology in healthcare & protection
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.
Wireless Sensor Network: an emerging entrant in Healthcare
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.
Body sensor network a modern survey & performance study in medical perspect
This document provides an overview of body sensor networks and their applications in healthcare. It discusses the key differences between wireless sensor networks and wireless body area networks. Body sensor networks allow sensors on the human body to monitor vital signs and transmit the data wirelessly to caregivers. The document reviews various wireless technologies used in body sensor networks like Zigbee, Bluetooth, and Wi-Fi. It also examines the system requirements and security challenges of body sensor networks, including data confidentiality, integrity, and access control. Potential applications of body sensor networks discussed include remote health monitoring, assistance for people with disabilities, and non-medical uses like gaming and social networking.
Final ppt
The document discusses the Internet of Things (IoT), which is a network of physical objects embedded with sensors, software and other technologies that enables them to connect and exchange data. IoT allows objects to be remotely monitored and controlled via existing network infrastructure, creating opportunities to directly integrate the physical world with computer systems to improve efficiency. IoT refers to a wide variety of connected devices including medical implants, farm animal tags, sensors in cars and environmental monitoring devices.
IRJET- Design and Implementation of Health Monitoring System
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.
37 112-1-pb
This document describes the implementation of a human health monitoring system using Zigbee wireless technology. It presents a prototype that can monitor biomedical signals from multiple biosensors using different communication standards. The prototype utilizes three different sensor types for autonomous healthcare monitoring. It also develops a Zigbee-compliant wireless system offering low power consumption, low cost, and advanced network configuration. Experimental results show the system can successfully perform wireless telemetry, data acquisition, and real-time monitoring of sensor signals over a range of 111 meters outdoors and 33 meters indoors.
Paper id 212014105
This document summarizes a proposed architecture for remote patient monitoring using wireless sensor networks. The architecture allows virtual groups to be formed between patients, nurses, and doctors to enable remote analysis of patient data collected by wireless body area networks (WBANs). The patient data is transmitted through an underlying environmental sensor network to members of the virtual group. The proposed architecture addresses challenges of power supply for body sensor networks and quality of service guarantees.
Presentacion invento redes de sensores inalambricas
Wireless sensor networks (WSNs) consist of distributed sensor nodes that self-organize to monitor environmental conditions over a wide area. They have many potential applications including health monitoring, infrastructure monitoring, and environmental monitoring. A WSN system includes wireless sensor nodes that collect data and a gateway that provides connectivity to the internet. Each node contains sensors, a microcontroller, radio, and battery. Together, WSNs provide a low-cost way to remotely collect and share sensor data.
Wireless Sensor Networks
This document discusses wireless sensor networks (WSNs) and provides details about their characteristics and technologies. It begins by introducing WSNs and their role in enabling applications like smart grids and the internet of things. It then discusses key aspects of WSNs such as their topology, access network technologies, data aggregation techniques, and self-organizing capabilities. Specific technologies covered include 6LoWPAN for connecting WSNs to IP networks, adaptive flow control for unstable wireless links, and MEMS sensors for miniaturization. The document provides an in-depth overview of WSN technologies and design considerations.
WSN BASED SMART SENSORS AND ACTUATORS FOR POWER MANAGEMENTIN INTELLIGENT BUIL...
The document discusses a proposed wireless sensor network (WSN) system for intelligent home energy management and control. The key points are:
1) The system would use WSN technology to monitor and control household appliances and energy usage in a building. Sensor nodes equipped with sensors, processing units, memory and transceivers would communicate wirelessly to form a network.
2) The system aims to allow flexible, robust and low-cost monitoring and control of appliances based on consumer needs and preferences. It would design Zigbee-based units to sense power consumption and control appliances remotely or automatically.
3) The document outlines the hardware and software components of the system, including the microcontroller, transceivers,
Review Paper on Wireless Sensor Body Area Network
In this research work, we propose a reliable, power efficient and high throughput routing protocol for Wireless Body Area Networks WBANs . We use multi hop topology to achieve minimum energy consumption and a longer network lifetime. We propose a cost function to select the parent node or forwarder. Pro posed cost function selects a parent node which has high residual energy and minimum distance to sink. Residual energy parameter balances the energy consumption among the sensor nodes while the distance parameter ensures successful packet delivery to sink. Pawan Kumar Verma | Preeti Sondhi "Review Paper on Wireless Sensor Body Area Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26437.pdfPaper URL: https://www.ijtsrd.com/computer-science/computer-network/26437/review-paper-on-wireless-sensor-body-area-network/pawan-kumar-verma
Wban, kavya
This seminar presentation summarizes the implementation of a Wireless Body Area Network (WBAN) for monitoring physiological data. The WBAN system consists of sensor nodes that measure body temperature, heart rate, and blood oxygen levels. The sensor nodes transmit the physiological data via ZigBee to a Body Control Unit (BCU) for processing. The BCU then sends the data to a remote server for storage and visualization. The presentation outlines the system architecture, hardware and software requirements, and performance evaluation of the WBAN for real-time health monitoring and e-health applications.
Presentacion invento redes de sensores inalambricas
Wireless sensor networks (WSNs) consist of distributed sensor nodes that self-organize to monitor environmental conditions over a wide area. They have many potential applications including health monitoring, infrastructure monitoring, and environmental monitoring. Each sensor node contains a radio, battery, microcontroller, and sensor interface. The network architecture uses gateways to connect the wireless sensor nodes to wired networks. Key challenges are minimizing energy usage to extend battery life since many applications require years of unattended operation.
Similar to Wireless Body Area Network (20)
2 pf implementation of wireless body area network ed iqbal qc
2 pf implementation of wireless body area network ed iqbal qc
Wireless Body Area Network A Review on Issues, Routing Techniques and Various...
Wireless Body Area Network A Review on Issues, Routing Techniques and Various...
Thermal-Aware Based Field Theory Routing in Wireless Body Area Networks
Thermal-Aware Based Field Theory Routing in Wireless Body Area Networks
Smart sensor technology in healthcare & protection
Smart sensor technology in healthcare & protection
Wireless Sensor Network: an emerging entrant in Healthcare
Wireless Sensor Network: an emerging entrant in Healthcare
Body sensor network a modern survey & performance study in medical perspect
Body sensor network a modern survey & performance study in medical perspect
IRJET- Design and Implementation of Health Monitoring System
IRJET- Design and Implementation of Health Monitoring System
Presentacion invento redes de sensores inalambricas
Presentacion invento redes de sensores inalambricas
WSN BASED SMART SENSORS AND ACTUATORS FOR POWER MANAGEMENTIN INTELLIGENT BUIL...
WSN BASED SMART SENSORS AND ACTUATORS FOR POWER MANAGEMENTIN INTELLIGENT BUIL...
Presentacion invento redes de sensores inalambricas
Presentacion invento redes de sensores inalambricas
Recently uploaded
HCL Notes and Domino License Cost Reduction in the World of DLAU
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
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
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.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Recently uploaded (20)
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
Wireless Body Area Network
- 2. Introduction to WBAN Definition WBAN Architecture requirements WBAN Units WBAN Functionality WBAN Architecture WBAN Process Challenges Comparison Applications Advantages & Disadvantages Research Area Future Scope Conclusion Bibliography CONTENTS
- 3. INTRODUCTIO N WBAN is a special kind of network, which is designed and developed for Human body, to monitor, manage and communicate different vital signs of human body like temperature, Blood pressure, ECG etc. These vital signs can be monitored by using different sensor installed on clothes or on the body or even under the skin.
- 4. DEFINITION What is BAN…??? According to definition given by IEEE 802.15.6 “A communication standard optimized for low power devices for their operation on, in or around the human body to serve a variety of applications including medical, consumer electronics or personal entertainment and other.”
- 5. WBAN ARCHITECTURE REQUIREMENTS Wireless Sensor Wireless Actuator Node Wireless Central Unit Wireless Personal Device (PD) ARCHITECTUR E
- 6. WBAN BODY SENSOR UNIT BODY CONTROL UNIT WBAN UNITS
- 7. BODY SENSOR UNIT •Sensors measure certain parameters in one’s body either internally or externally. •These nodes gather and respond to data on a physical stimuli, process necessary data and provide wireless response to BCU. BSU Design: • BSU Hardware • BSU Firmware
- 8. BODY SENSOR UNIT BSU hardware design considerations : 1. Low power and energy consumption. 2. Scaling of major electrical components. 3. Low cost . 4. Small volume. Body Sensor Unit Firmware: •Principle challenge of BCU firmware is Wireless transmission of motion data via Bluetooth
- 9. BODY CONTROL UNIT The main functions of BCU •Implementation of additional sensors •Receiving Data •Saving Data •Plotting Data
- 11. FUNCTIONALITY
- 13. 3 TIER ARCHITECTURE Tire-1 WBAN Sensor Consists of an intelligent node which is capable of: Sensing. Processing. Communicating. ECG(electrocardiogram)sen sor for monitoring heart activity. Tire-2 Personal server Interface the WBAN Control Unit through Zigbee or Bluetooth. Connected with the medical server through mobile telephone networks (2G, GPRS, 3G) or WLANs—Internet. Tire-3 Medical server Functions include: To authenticate users. Save patient data into medical records. Analyze the data . Recognize serious health cases in order to contact emergency care givers. Forward new instruction to user.
- 14. WBAN PROCESS
- 16. CHALLENGES •Power Challenge As most wireless networks based devices are battery operated therefore, power challenge is present in almost every area of application of wireless sensor networks. •Computation Due to both limited power as well as memory, computation should also be limited. •Material Constraints Relates to effect of size and shape on human body. •Security and Interference very important issues that could be consider, especially for medical systems is Security and interference.
- 17. COMPARISION
- 19. ADVANTAGES & DISADVANTAGES Advantages : •Used for detection of chronic diseases. •Emergency services can be get from the doctor. •Patient has not required to physical available to the doctor. •Assist the communication between individual and machine Disadvantages: •Interface of the multi devices that share the channel •Lack of integration-sensors •Effect of the sensors implanted under the skin
- 20. Channel Characterization Human Body Channel Measurement & Simulation Antenna Design Wearable Sensor Network Design RESEARCH AREA
- 21. FUTURE SCOPE •In future these features can be implemented in android platform in a small network of low energy sensor nodes.
- 22. CONCLUSION •The increasing use of wireless networks and the constant miniaturization of electrical devices has empowered the development of Wireless Body Area Networks (WBANs). •In these networks various sensors are attached on clothing or on the body or even implanted under the skin. •The wireless nature of the network and the wide variety of sensors power numerous new, practical and innovative applications to improve health care and the Quality of Life.
- 23. BIBLIOGRAPHY J.M. Kim, S.H. Park, Y.J. Han, T.M. Chung, “CHEF: CH Election Mechanism Using Fuzzy Logic In WSNs”, In Proceedings of 10th International Conference on Advanced Communication Technology (ICACT), Phoenix Park, Korea, pp.654-659 Vol. 1, 17-20 February 2008. O. Zytoune, M. Aroussi, M. Rziza, D. Aboutajdine, “Stochastic Low Energy Adaptive Clustering Hierarchy”, Journal of Computer Networks and Internet Research ICGST- CNIR, Vol. 8, No. 1, pp.47-51, 2008. S. Stanislava, W.B. Heinzelman, “CH Election Techniques for Coverage Preservation in WSNs”, Elsevier, Ad Hoc Networks Journal, Vol. 7, No. 5, pp. 955-972, 2009. C. Song, M. Liu, J. Cao, Y. Zheng et, al , “ Maximizing Network Lifetime Based on Transmission Range Adjustment in WSNs”, Elsevier, Computer Communication Journal, Vol. 32, No. 11, pp. 1316-1325, July 2009.
- 24. WBAN THANK YOU