Artificial intelligence enhanced sensors-enabling technologies to next-generation healthcare and biomedical platform

C Wang, T He, H Zhou, Z Zhang, C Lee - Bioelectronic Medicine, 2023 - Springer
The fourth industrial revolution has led to the development and application of health
monitoring sensors that are characterized by digitalization and intelligence. These sensors …

Minimally invasive electrochemical continuous glucose monitoring sensors: Recent progress and perspective

Y Zou, Z Chu, J Guo, S Liu, X Ma, J Guo - Biosensors and Bioelectronics, 2023 - Elsevier
Diabetes and its complications are seriously threatening the health and well-being of
hundreds of millions of people. Glucose levels are essential indicators of the health …

Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier

A Prabha, J Yadav, A Rani, V Singh - Computers in Biology and Medicine, 2021 - Elsevier
In this work, a non-invasive diabetes mellitus detection system is proposed based on the
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …

Recent progress in smart electronic nose technologies enabled with machine learning methods

Z Ye, Y Liu, Q Li - Sensors, 2021 - mdpi.com
Machine learning methods enable the electronic nose (E-Nose) for precise odor
identification with both qualitative and quantitative analysis. Advanced machine learning …

Electronic noses based on metal oxide semiconductor sensors for detecting crop diseases and insect pests

Z Zheng, C Zhang - Computers and Electronics in Agriculture, 2022 - Elsevier
The detection of pests and diseases is very important for agricultural production. Every year,
the economic loss caused by pest infestation is enormous. The traditional methods of …

AI‐Driven Wearable Mask‐Inspired Self‐Healing Sensor Array for Detection and Identification of Volatile Organic Compounds

M Chen, M Zhang, Z Yang, C Zhou… - Advanced Functional …, 2024 - Wiley Online Library
Volatile organic compounds (VOCs) sensor arrays have garnered considerable attention
due to their potential to provide real‐time information for monitoring pollution levels and …

Research progress of electronic nose technology in exhaled breath disease analysis

Y Li, X Wei, Y Zhou, J Wang, R You - Microsystems & Nanoengineering, 2023 - nature.com
Exhaled breath analysis has attracted considerable attention as a noninvasive and portable
health diagnosis method due to numerous advantages, such as convenience, safety …

Sense and learn: recent advances in wearable sensing and machine learning for blood glucose monitoring and trend-detection

AY Alhaddad, H Aly, H Gad, A Al-Ali… - … in Bioengineering and …, 2022 - frontiersin.org
Diabetes mellitus is characterized by elevated blood glucose levels, however patients with
diabetes may also develop hypoglycemia due to treatment. There is an increasing demand …

A comprehensive gas recognition algorithm with label-free drift compensation based on domain adversarial network

X Pan, J Chen, X Wen, J Hao, W Xu, W Ye… - Sensors and Actuators B …, 2023 - Elsevier
For most applications, the sensor system needs to identify/measure target gases in mixture
conditions simultaneously, while countering the performance degradation caused by the drift …

[HTML][HTML] Future potential of E-nose technology: a review

F Furizal, A Ma'arif, AA Firdaus… - International Journal of …, 2023 - pubs2.ascee.org
Abstract Electronic Nose (E-Nose) technology unlocks the fascinating world of electronic
detection, identification, and analysis of scents and odors, paving the way for innovative …