Stretchable respiration sensors: Advanced designs and multifunctional platforms for wearable physiological monitoring

T Dinh, T Nguyen, HP Phan, NT Nguyen… - Biosensors and …, 2020 - Elsevier
Respiration signals are a vital sign of life. Monitoring human breath provides critical
information for health assessment, diagnosis, and treatment for respiratory diseases such as …

Recent development of respiratory rate measurement technologies

H Liu, J Allen, D Zheng, F Chen - Physiological measurement, 2019 - iopscience.iop.org
Respiratory rate (RR) is an important physiological parameter whose abnormality has been
regarded as an important indicator of serious illness. In order to make RR monitoring simple …

Non-contact respiration monitoring and body movements detection for sleep using thermal imaging

P Jakkaew, T Onoye - Sensors, 2020 - mdpi.com
Monitoring of respiration and body movements during sleep is a part of screening sleep
disorders related to health status. Nowadays, thermal-based methods are presented to …

Pencil‐drawn paper‐based non‐invasive and wearable capacitive respiration sensor

S Kanaparthi - Electroanalysis, 2017 - Wiley Online Library
This paper describes a fully‐drawn pencil‐on‐paper based low‐cost capacitive sensor for
non‐invasive respiration monitoring. The sensor utilizes the hygroscopic character of the …

Breathing-Associated Facial Region segmentation for thermal camera-based indirect breathing monitoring

J Kwon, O Kwon, KT Oh, J Kim… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Breathing can be measured in a non-contact method using a thermal camera. The objective
of this study investigates non-contact breathing measurements using thermal cameras …

Estimating respiratory rate in post-anesthesia care unit patients using infrared thermography: an observational study

N Hochhausen, C Barbosa Pereira, S Leonhardt… - Sensors, 2018 - mdpi.com
The post-anesthesia care unit (PACU) is the central hub for recovery after surgery,
especially when the surgery is performed under general anesthesia. Aside from clinical …

Machine learning in rehabilitation assessment for thermal and heart rate data processing

A Procházka, H Charvátová, S Vaseghi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Multimodal signal analysis based on sophisticated noninvasive sensors, efficient
communication systems, and machine learning, have a rapidly increasing range of different …

Fishing risky behavior recognition based on adaptive transformer, reinforcement learning and stochastic configuration networks

S Yang, L Ding, W Li, W Sun, Q Li - Information Sciences, 2024 - Elsevier
The fishing behavior in a high-voltage environment may lead to electric shock accidents.
This paper proposes a fishing risky behavior recognition method based on adaptive …

Research on intelligent recognition method for self‐blast state of glass insulator based on mixed data augmentation

S Peng, L Ding, W Li, W Sun, Q Li - High Voltage, 2023 - Wiley Online Library
Automatically and accurately detecting the self‐blast state of glass insulators is of great
significance to operation and maintenance of transmission lines. To solve the shortcomings …

A self-adjusting transformer network for detecting transmission line defects

W Li, Q Tong, J Gu, J Li, W Sun, Q Li - Neural Computing and Applications, 2024 - Springer
To address the limitations of traditional defect detection methods for power transmission
lines, this paper proposes an intelligent defect recognition method based on self-adjusting …