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MIoT: Medical Internet of Things in pain assessment

Authors :
Sanjay Kumar Singh
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

The ubiquitous and least concerned pain assessment and its associated complications are treated to be prime significant and costly pain assessment. Through the inception of the Medical Internet of Things (MIoT), utilizing smart devices, the medical healthcare industry is moving toward the in-house environment, which leads to creating opportunities for the development of explanations that are effective along with significant potential in cost reduction and time saving. This chapter primarily focuses on potential applications of MIoT for capturing and classifying pain intensity levels among patients. The methodology includes reviewing the recent literature and predicting a framework that measures the pain intensity level. The MIoT has managed to open digital transformation, especially in home-based pain assessment, as it ensures personalized care along with patient engagement. The pain intensity so achieved using a multidisciplinary approach is unique for smart management of noncommunicable pain through individual and comprehensive feedback involving data mining and telecommunication, which are tailored to individual requirements. Voice along with the facial expressions plays a significant role when integrated with MIoT to accurately assess the pain level and thus opening up new opportunities in healthcare. The MIoT has brought about a revolutionary change in the healthcare sector either it is related to remote monitoring or designing smart sensors with the amalgamation of the medical gadget. As it is in its inception phase of development, it may augment pain intensity more accurately.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........6354f8bf9781355a3c7b8d258389e09f
Full Text :
https://doi.org/10.1016/b978-0-12-821472-5.00005-3