Wireless body area sensor network is a sub-field of wireless sensor network. Wireless body area sensor network has come into existence after the development of wireless sensor network reached some ...

https://journals.sagepub.com/doi/pdf/10.1177/1550147718768994

The state-of-the-art wireless body area sensor networks: A survey:

/pdf/exploring-interactive-survivorship-plans-patient-perceived-k7lz04lxcg.pdf

Exploring Interactive Survivorship Plans: Patient Perceived Value, Acceptance and Usability Evaluation of an Online Breast Cancer Survivorship Tool

This paper solves the problem of prevention of asthma attacks, and also it can predict a future asthma attack based on prevalent asthma triggers. The system forms an opinion of the everyday condition of the user, for example, if the user is doing fine today but might not be fine tomorrow. With the help of neural networks, it is possible to predict precisely and correct the user habits. A user who is not an asthma patient but thinks he may have the disease can also use this system. Monthly reports are generated of every user stating whether the patient's condition has worsened or got better.

Rule extraction for detection and prevention of asthma attacks

With expansion in the innovation, the requests of the individuals are expanding as individuals are more intrigued by the web offices with higher information rate. Despite the fact that 3G advances convey essentially higher bit rates than 2G innovations, "LTE" (3GPP Long Term Evolution) got a blast in the field of advancements with new offices like Internet applications or versatile broadband ( Voice over IP (VoIP), feature spilling, music downloading, portable TV and numerous others material) all around. It is very much necessary to extract the useful information of the user using LTE technology to understand he performance and durability of this new technology. In this paper we present a novel architecture for mining the data for extracting useful information regarding the success rates of various handoff procedures in LTE technology.

http://www.sersc.org/journals/IJDTA/vol9_no2/2.pdf

Advanced Data Mining Appraoch For Handoff Procedure's in Lte Technology

AbstractMore than 300 million people worldwide suffer from asthma, and around 2 million people die each year as a result of asthma attacks. Asthma can be started and exacerbated by many factors in the environment. The pollutant could act as a trigger if someone suffers from hyper-responsive airways, resulting in an asthma attack. ADT is a realistic approach for detecting asthma triggers which has been presented to aid in the identification of the factors that induce asthma in a certain person. Different gas concentrations have been monitored, and threshold values have been calculated using the standard Air Quality Index (AQI), as a baseline.KeywordsAsthmaAsthma triggerAir quality indexEnvironmental factorThreshold valueIOT 

Environment-Based Asthma Trigger Detection (ATD)

Asthma is a very common disease that may become lethal if remained untreated. An asthma patient must always be alert with their body condition, especially their respiratory and the surroundings they are in. This paper proposes a development of a rule-based asthma system. This system provides advice for patients who would like to know the chances of getting an asthma attack are based on the patient's current asthma condition and surrounding environment. To do so, the patients will answer questions to enable the system to understand their current health condition and the environment they are living in. It will then provide suggestions to avoid the attack, or to hasten asthma recovery, which includes environmental factors. Data regarding asthma was gathered through an interview with doctors and online medical resources. A rule-based algorithm was developed based on the data gathered. With this program, it allows patient's self-management to lead a healthy, asthma-free lifestyle.

Muhammad Azlil Syafiq

Papers

The development of a rule-based asthma system