Wearable sensors for healthcare: Fabrication to application

SC Mukhopadhyay, NK Suryadevara, A Nag - Sensors, 2022 - mdpi.com
This paper presents a substantial review of the deployment of wearable sensors for
healthcare applications. Wearable sensors hold a pivotal position in the microelectronics …

[HTML][HTML] Machine learning approach for a circular economy with waste recycling in smart cities

X Chen - Energy Reports, 2022 - Elsevier
The information and communication technology (ICT) makes the smart city exchange
information with the general public and deliver higher-quality services to citizens. The …

[PDF][PDF] Enhancement of online education in engineering college based on mobile wireless communication networks and IoT

JQ Kadhim, IA Aljazaery… - International Journal of …, 2023 - researchgate.net
The field of Engineering is that which needs a high level of analytical thinking, intuitive
knowledge, and technical know-how. The area of communication engineering deals with …

[HTML][HTML] A comprehensive review on 5G-based smart healthcare network security: taxonomy, issues, solutions and future research directions

A Ahad, Z Ali, A Mateen, M Tahir, A Hannan, NM Garcia… - Array, 2023 - Elsevier
Healthcare is experiencing a fast change from a hospital-centric and specialist-focused
model to one that is dispersed and patient-centric. Numerous technological advancements …

MultiSenseBadminton: Wearable Sensor–Based Biomechanical Dataset for Evaluation of Badminton Performance

M Seong, G Kim, D Yeo, Y Kang, H Yang, J DelPreto… - Scientific Data, 2024 - nature.com
The sports industry is witnessing an increasing trend of utilizing multiple synchronized
sensors for player data collection, enabling personalized training systems with multi …

Enhancing privacy and data security across healthcare applications using blockchain and distributed ledger concepts

H Liu, RG Crespo, OS Martínez - Healthcare, 2020 - mdpi.com
Nowadays, blockchain is developing as a secure and trustworthy platform for secure
information sharing in areas of application like banking, supply chain management, food …

Killer heuristic optimized convolution neural network-based fall detection with wearable IoT sensor devices

A Alarifi, A Alwadain - Measurement, 2021 - Elsevier
Current multi-disciplinary research views falls in the elderly as a significant worldwide public
health risk. Several fall detection systems have been created that use wearable motion …

The application of wearable smart sensors for monitoring the vital signs of patients in epidemics: a systematic literature review

N Mohammadzadeh, M Gholamzadeh… - Journal of ambient …, 2023 - Springer
Wearable smart sensors are emerging technology for daily monitoring of vital signs with the
reducing discomfort and interference with normal human activities. The main objective of this …

Deep unsupervised domain adaptation with time series sensor data: A survey

Y Shi, X Ying, J Yang - Sensors, 2022 - mdpi.com
Sensors are devices that output signals for sensing physical phenomena and are widely
used in all aspects of our social production activities. The continuous recording of physical …

Optimized unsupervised deep learning assisted reconstructed coder in the on-nodule wearable sensor for human activity recognition

R Janarthanan, S Doss, S Baskar - Measurement, 2020 - Elsevier
Presently Analysing clinical data of patients using machine learning techniques enhances
both outcomes for patients and operations in hospitals. Moreover, the implementation of …