Artificial Intelligence Based Body Sensor Network Framework

 

Big Data and the Future

‘Dataism’ is a time period coined by using Yuval Harari in his popular science e-book ‘Homo Deus’. This time period shows that in the close to future, choices in all aspects of society will be based on the translation of the available ‘big records’ .

“Big statistics is defined as excessive-volume, excessive-pace, excessive-variety and high veracity facts property (4Vs) that demand price-powerful, innovative kinds of information processing for improved insight and decision making read more:- theknowledgeblog    

 In this definition, volume refers to the significance or size of the facts, variety refers to structural heterogeneity inside the dataset, speed refers back to the price at which facts are generated and veracity refers to the truthfulness or reliability of the facts. ‘large records’ currently holds fantastic untapped capability,

 which has viable packages in a multitude of industries, such as however now not constrained to health care, banking and finance, security, aviation, astronomy, agriculture, and sports activities. Although big records can be a sizable asset for the information discovery method,

Data Gathering, Mining and Analytics in Health Care

The discipline of health care has a long history of recording, analyzing, and drawing inferences based totally on information . This appears to be an effect of the requirements of regulatory bodies .

The general quantity of healthcare data is predicted to move Yottabyte scale within the subsequent years . Multiple approaches using AI have been used in the beyond for harm danger evaluation and performance prediction   read more :- smartdiethealth

 Vison-primarily based motion analysis has also been used for clinical diagnostics. There nevertheless seems to be untapped potential for big statistics to improve medical operations, public fitness, preventive medicine, precision medicinal drug, evidence-primarily based medication, remote tracking, patient profiling, and many others.

, in phrases of lower price, faster evaluation, and reduced blunders fees . A few of the factors essential for accelerating innovation within the discipline of smart medication seem to be, information collecting techniques and facts mining from existing sources .

Architectural frameworks facilitating AI/ML have been proposed for analyzing the presently available vitals data throughout numerous sectors inside healthcare . Despite this, deep and clean statistics integration throughout a couple of healthcare applications is fragmented and gradual. Another technical task for the development of such gear is the records from specific healthcare environments. The lack of consistency in the shape of the information, to be had features, noise, and bias of the supply may also result in problems in the educated algorithms    read more :- technologyford  

With the improvement and advancements in low-price close to gold standard sensor generation, there's a opportunity to mix multiple sensors to accumulate organized, time-synchronized information as the first step for growing a pipeline for use in severa healthcare and diagnostics packages inside the form of fusion technology. Wearable sensors appear to be the suitable tool for amassing such brilliant records

Wearable Biosensors

The upward thrust of wearable sensors as equipment for records series seems to be ideal for gathering physiological and important records. Hence, wearable sensors have come to be famous in scientific, enjoyment, safety, and commercial areas .

 A latest evaluate posted in ‘Nature Biotechnology’ elaborated the rising interest in wearable biosensor era in academics, performance, and the health industry . Wearables show superb capability to provide non-stop, real-time physiological information the use of dynamic non-invasive measurements of biochemical and physiological markers.

So far, those sensors have been used for collecting unique, high-fidelity strategic data, which facilitate a whole host of applications with, navy, precision medication, and the fitness industry at its leading edge. Their specific constancy and precision varies primarily based on the specifications in their varying use cases  read more :- newcomputerworld