AI in Acquisition, Analysis and Processing of Medical Signal Data Collected By Wearable Devices
Document Type
Syllabus
Publication Date
1-1-2022
Abstract
Wearables technologies are an integral part of personal study, measuring physical condition, physiological criteria and medical schedule detail. This constantly evolving technological platform not only promise to enable people to achieve healthy lives but offer medical proof that metabolic status, diagnosis, and therapy are successful. Flexible electronic miniature advances, electrochemical biosensors, microfluidics, and artificial intelligence algorithms created wearable devices capable of producing real-time medical data on the Internet. These modular instruments are designed to be consistent with the intent of capturing biochemical or electrical signals, such as epidermal, ocular, intra-core or dental interfaces. This research work reveals the developments and production processes of consumer wearable electronics, industrial and emerging equipment. It also looks at the tracking of vital signs in real time by bio-sensors, stimulant-responsive drugs and closed loop networks. Increased augmented and mixed reality, networking tools, resources storage, exhibits, conformity and computer protection solve potential problems. Developing and integrating wearable technologies into randomised clinical trials would allow secure and reliable methods to be developed.
Identifier
85132657611 (Scopus)
Publication Title
Studies in Computational Intelligence
External Full Text Location
https://doi.org/10.1007/978-3-030-97929-4_6
e-ISSN
18609503
ISSN
1860949X
First Page
125
Last Page
145
Volume
1021
Recommended Citation
Veeman, Dhinakaran; Varsha Shree, M.; Swapna Sai, M.; Kancharla, Akshita; and Hussain, Chaudhery Mustansar, "AI in Acquisition, Analysis and Processing of Medical Signal Data Collected By Wearable Devices" (2022). Faculty Publications. 3244.
https://digitalcommons.njit.edu/fac_pubs/3244