A Review : Wireless Body Area Network Performance Dependency

The newest infant protection technologies work with Wi-Fi networks to provide campus wide, real-time information on an infant's location and status, while connecting to platforms and devices that already exist within staff and patient processes. These include medical record Platforms, nurse call systems and such mobile devices as smartphones

Communication between two unrelated machines? Impossible, or at least that’s what I thought. Until recently, I had no clue that the wearable device on my wrist was considered an internet of things. A black, sleek watch incorporating biometric technologies embedded in its sensors was an IoT Fitbit device? Who would’ve thought such an intimate object was capable of creating new relationships – human-to-device and device-to-device. Every morning, it remembers to wake me up at seven o’clock, silently alerting me through vibrations. It tracks my sleeping patterns: when I’m asleep, restless, or awake. When I open the Fitbit app on my phone, I can find the number of steps taken, the distance walked, the calories burned, and the duration of activity.

around the human body. A WBAN system can use WPAN wireless technologies as gateways to

My knowledge in this area is reflected with my understanding in the concept of remotely monitoring patients is not new but recently a lot of attention has been placed on smart wearable body sensors (SWS). Therefore, these devices contain an assortment of different sensors which can be used to monitor variables and transmit data either to a personal device or to a storage site. The variety of the sensors can be attributed to the types of stimuli that they respond to, for an example, physiological vital signs, body movements, and organic substances and their placements clothing, subcutaneous implant, body part accessory, and many more. These devices have the opportunity to meet the patients’ needs by administering information in real-time to the patient’s smartphone, computer or other wireless devices and has the potential to influence their behaviours. The sensors allow patients to self-monitor, track, and assess human physiological data, while also providing interfaces and a dashboard for healthcare providers. These sensors are easily managed and are becoming increasingly accurate and reliable for patient care. The SWS’s can also be utilized as a diagnostic tool to

Advancements in technology are causing dynamic changes that further enhance our lifestyle on a daily basis. Did you ever imagine you can answer a complex question only with the power of a handheld device, or what about tracking your every move using only a wristband? Are we capable of streamlining this powerful technology for application into the medical field?

CLIAC is the data flow of the WAB framework as well as the functional objectives for the effective USSFA. The collected data used as input variables of the human activity recognition (HAR) algorithm based on the Hidden Markov Model (HMM). This processed data stored on the local and remote location securely, and is able to share the user's condition via public network including the Internet with professional practitioners. When abnormal condition, such as falling, is detected by the algorithm or periodical treatment is required, the output of HAR is used as the input variables of emergency response and PTD control algorithm. Therefore, the WAB framework can recognise the user and outer environment situation, and it can autonomously reconfigure the target value of PTD to provide the effective treatment regardless of outer circumstance changes. This control values and user's condition are also streamed to remote server for monitoring and remote treatment control. The WAB framework also includes its modularised hardware standard, the universal wearable autonomous controller (UWAC) system. This system consists of three modules that is main wearable unit (MWU), sensor module, and feedback action module (FAM). The combination of sensor module and MWU work as usual WHTD. When it combines with FAM, the UWAC work as a PTD. Each modules can be connected to the MWU by wire or wirelessly. Additionally, the UWAC system is designed under the open hardware policy for collaboration with other researcher and developers to supply more variety and safer

Coincident with the increase of healthcare expenditure is the technological revolution in wearable technology, bio sensors, and wireless communication. This technological advancement lead to interest in a new type of network architecture, generally known as body sensor network (BSN) or body area network (BAN), as the solution to relief the burden on the clinical system.

In our project, we are trying to provide an embedded wireless system by using the Army base stations can monitor the health of soldiers using wireless body area sensor networks such as temperature sensor, heart beat sensor, etc. Base stations can also track the location of soldiers by using Global positioning system (GPS)

While writing this paper, I would like to tell that there are many health tracking devices in market which helps us to know our health status. One among them is Apple watch and Air strip.

Connected wearable patches consist of patches, small devices, or tattoos that are attached to the skin, and worn for a concise period of time, varying from an hour to several weeks. The patches have an feature of wireless connectivity, which have a medical, health, or wellness purpose ranging from nursing physiological data to delivering medication. They may be used for patient monitoring, sports, or drug-delivery. Wearable patches are ideal as they could be hidden under clothing, hardly interfere with the movement and hence can record more precise data. This patches aren’t removable patches for clothing, while they are stick adhesives which or may not include a medication or sensor.

The functional requirements of the BS is a data communication with Tier 1 devices, sufficient computing power, and \ac{WAN} accessibility. In most of the research, however, a single computing device with a network tool for the Internet or combined device configuration, such as a PC with a gateway or wireless router, and smart phone, has used as Tier 2 system due to its simplicity and effectiveness \cite{leijdekkers2008self, jin2009hearttogo, monton2008body, pandian2008smart}. The modern wearable and mobile devices, such as a smart watches and smart phones, can be employed as a \ac{cDAQ} in Tier 1 due to it has enough computing power and storage capacity to handle the data, as well as a \ac{BS} of Tier 2 when they support the Internet connection

(Bonato) This class of devices encompasses all devices worn on the body that record and report information about a user’s health and physical condition. The newest element in the grandiose vision of the “Internet of Things,” these devices have the potential to play a crucial role in solving the mystery of the human organism.

Existing wearable health monitoring devices can be enhanced by adding adaptive biofeedback and control capability. This will transform the current wearable health monitoring devices from a passive monitoring device to a real-time treatment assistive device. Such a device is capable of not only collecting, storing, and monitoring raw and synthesised data similar to the current wearable healthcare devices, but can also provide autonomous reconfiguration, controlled treatment processes by using collected data to provide intelligent local and remote feedback with decision making. There are a large number of applications that can be benefited from such a

Wireless communication is another imperative piece of technology that has a huge impact on healthcare. How is wireless communication used? “The term wireless communication was introduced in the 19th century and wireless communication technology has developed over the subsequent years. It is one of the most important mediums of transmission of information from one device to other devices.” (elprocus) It’s rarely thought of these days to be without some sort of form of wireless communication. Wireless communication is possible through radio waves. Some forms of wireless communication include broadcast radio, satellite, Wi-Fi, GPS, etc which can be used with a cell phone, lap top, television, printer, among various other items. The importance of wireless communication is big.

Wearable sensors are developed in 10-10 years ago, but sensors are wired for records processing, facts saved in facts recording unit. Stressed out networks are strong, however for person it difficult to manage large sensor network with wired and additionally hard to long data transmission. Wi-Fi transmission becomes available to triumph over the stressed out community. For quick Wi-Fi statistics transmission, some protocols are used like Zigbee, Bluetooth. Wearable sensors are help to gather the information and transmit to require area. Every wireless sensor, community has transceiver. In this wearable sensors include respiration, EDA and EMG sensor, used as wireless sensor nodes. Records transmission are in the form of single packet. The packet length and length are configurable. Capabilities are extracted from sensors outputted information. After the capabilities extraction actual outcomes of health relates are passed off. USB transducer is used to show sensor statistics in real-time on a computer monitor in the course of sensor calibration. Underneath parent indicates image of wearable sensor to screen the fitness situation.[ P. Gope and T. Hwang, “Untraceable sensor movement in distributed IoT infrastructure,” IEEE Sensors J., vol. 15, no. 9, pp.