Wearable photoplethysmography for cardiovascular monitoring
Smart wearables provide an opportunity to monitor health in daily life and are emerging as
potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands …
potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands …
Optical microfiber intelligent sensor: wearable cardiorespiratory and behavior monitoring with a flexible wave-shaped polymer optical microfiber
Z Wang, Z Chen, L Ma, Q Wang, H Wang… - … Applied Materials & …, 2024 - ACS Publications
With the advantages of high flexibility, strong real-time monitoring capabilities, and
convenience, wearable devices have shown increasingly powerful application potential in …
convenience, wearable devices have shown increasingly powerful application potential in …
Sparse learned kernels for interpretable and efficient medical time series processing
Rapid, reliable and accurate interpretation of medical time series signals is crucial for high-
stakes clinical decision-making. Deep learning methods offered unprecedented …
stakes clinical decision-making. Deep learning methods offered unprecedented …
A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using …
Context Continuous blood pressure (BP) monitoring plays an important role while treating
various cardiovascular diseases and hypertension. A high correlation between arterial blood …
various cardiovascular diseases and hypertension. A high correlation between arterial blood …
Improved stress classification using automatic feature selection from heart rate and respiratory rate time signals
Time-series features are the characteristics of data periodically collected over time. The
calculation of time-series features helps in understanding the underlying patterns and …
calculation of time-series features helps in understanding the underlying patterns and …
Reference signal less Fourier analysis based motion artifact removal algorithm for wearable photoplethysmography devices to estimate heart rate during physical …
Context Accurate and reliable heart rate (HR) estimation using photoplethysmographic
(PPG)-enabled wearable devices in real-time during daily life activities is challenging …
(PPG)-enabled wearable devices in real-time during daily life activities is challenging …
Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving
The human factor plays a key role in the automotive field since most accidents are due to
drivers' unsafe and risky behaviors. The industry is now pursuing two main solutions to deal …
drivers' unsafe and risky behaviors. The industry is now pursuing two main solutions to deal …
Wearable cardiorespiratory sensor for real-time monitoring with smartphone integration
In this study, we propose a novel portable wearable cardiorespiratory sensor integrated with
a smartphone, fabricated from plastic optical fiber (POF) and polydimethylsiloxane (PDMS) …
a smartphone, fabricated from plastic optical fiber (POF) and polydimethylsiloxane (PDMS) …
STSR: spectro-temporal super-resolution analysis of a reference signal less photoplethysmogram for heart rate estimation during physical activity
The increasing demand for intelligent, wearable health monitoring devices with a
photoplethysmogram (PPG) sensor to monitor real-time heart rate (HR) in a subject attracts …
photoplethysmogram (PPG) sensor to monitor real-time heart rate (HR) in a subject attracts …
[HTML][HTML] An evaluation of ECG data fusion algorithms for wearable IoT sensors
In wearable sensing, accurate estimation of physiological parameters is paramount,
although these signals can be corrupted by noise. The fusion of data from multiple sensor …
although these signals can be corrupted by noise. The fusion of data from multiple sensor …