[HTML][HTML] Wearable sensors for respiration monitoring: A review

T Hussain, S Ullah, R Fernández-García, I Gil - Sensors, 2023 - mdpi.com
This paper provides an overview of flexible and wearable respiration sensors with emphasis
on their significance in healthcare applications. The paper classifies these sensors based on …

[HTML][HTML] An overview of wearable piezoresistive and inertial sensors for respiration rate monitoring

R De Fazio, M Stabile, M De Vittorio, R Velázquez… - Electronics, 2021 - mdpi.com
The demand for wearable devices to measure respiratory activity is constantly growing,
finding applications in a wide range of scenarios (eg, clinical environments and workplaces …

Bioinspired ultra‐stretchable and highly sensitive structural color electronic skins

Y Shang, C Huang, Z Li, X Du - Advanced Functional Materials, 2025 - Wiley Online Library
Organisms possess remarkably adaptive ability to complex environments. For example,
chameleons can alter their skin color to adapt to varying environments, which has inspired …

In-vehicle monitoring by radar: A review

A Gharamohammadi, A Khajepour… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The proliferation of vehicles and a subsequent increase in traffic accidents have led to a
heightened focus on driving safety. As a result, various researchers have been examining …

Automatic contact-less monitoring of breathing rate and heart rate utilizing the fusion of mmWave radar and camera steering system

K Gupta, MB Srinivas, J Soumya… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The demand for noncontact breathing and heart rate measurement is increasing. In addition,
because of the high demand for medical services and the scarcity of on-site personnel, the …

Advances in triboelectric nanogenerators for self‐powered wearable respiratory monitoring

W Kwak, J Yin, S Wang, J Chen - FlexMat, 2024 - Wiley Online Library
Triboelectric nanogenerators (TENGs) have recently gained attention as a compelling
platform technology for building wearable bioelectronics. Aside from being self‐powered …

A contactless breathing pattern recognition system using deep learning and WiFi signal

D Fan, X Yang, N Zhao, L Guan… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Breathing pattern is a representation of human breathing in the rate, depth, and rhythm,
which can reflect physical and mental health conditions. Capturing and identifying abnormal …

BreathPro: Monitoring breathing mode during running with earables

C Hu, T Kandappu, Y Liu, C Mascolo… - Proceedings of the ACM on …, 2024 - dl.acm.org
Running is a popular and accessible form of aerobic exercise, significantly benefiting our
health and wellness. By monitoring a range of running parameters with wearable devices …

ECG waveform generation from radar signals: A deep learning perspective

FA Chowdhury, MK Hosain, MSB Islam… - Computers in Biology …, 2024 - Elsevier
Cardiovascular diagnostics relies heavily on the ECG (ECG), which reveals significant
information about heart rhythm and function. Despite their significance, traditional ECG …

An evaluation of non-contact photoplethysmography-based methods for remote respiratory rate estimation

G Boccignone, A D'Amelio, O Ghezzi, G Grossi… - Sensors, 2023 - mdpi.com
The respiration rate (RR) is one of the physiological signals deserving monitoring for
assessing human health and emotional states. However, traditional devices, such as the …