Heart rate estimation from wrist-worn photoplethysmography: A review
D Biswas, N Simões-Capela, C Van Hoof… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Photoplethysmography (PPG) is a low-cost, non-invasive, and optical technique used to
detect blood volume changes in the microvascular tissue bed, measured from the skin …
detect blood volume changes in the microvascular tissue bed, measured from the skin …
A review on computation methods used in photoplethysmography signal analysis for heart rate estimation
Photoplethysmography (PPG) sensor-enabled wearable health monitoring devices can
monitor realtime health status. PPG technology is a low-cost, noninvasive optical method …
monitor realtime health status. PPG technology is a low-cost, noninvasive optical method …
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 …
An XGBoost-based physical fitness evaluation model using advanced feature selection and Bayesian hyper-parameter optimization for wearable running monitoring
Thanks to the improvement of technologies such as Internet of Things, bio-sensing and data
mining, smart wearable technologies have recently received increasing attention for …
mining, smart wearable technologies have recently received increasing attention for …
Smart watches: A review of evolution in bio-medical sector
Smartwatch (SW) is a wearable gadget used in everyday life. It is equivalent to a customary
wristwatch and offers features similar to a smartphone. These features include access to the …
wristwatch and offers features similar to a smartphone. These features include access to the …
Heart rate tracking in photoplethysmography signals affected by motion artifacts: A review
Non-invasive photoplethysmography (PPG) technology was developed to track heart rate
during motion. Automated analysis of PPG has made it useful in both clinical and non …
during motion. Automated analysis of PPG has made it useful in both clinical and non …
Heart rate estimation in PPG signals using Convolutional-Recurrent Regressor
Heart rate monitoring using PPG signal has emerged as an attractive as well as an applied
research problem which enjoys a renewed interest in the recent years. Spectral analysis of …
research problem which enjoys a renewed interest in the recent years. Spectral analysis of …
A robust fusion method for motion artifacts reduction in photoplethysmography signal
Robustness of estimating cardiorespiratory parameters from photoplethysmography (PPG)
signal is highly dependent on the quality of the signal, which is heavily affected by motion …
signal is highly dependent on the quality of the signal, which is heavily affected by motion …
Improving photoplethysmographic measurements under motion artifacts using artificial neural network for personal healthcare
Photoplethysmographic (PPG) measurements are susceptible to motion artifacts (MA) due to
movement of the peripheral body parts. In this paper, we present a new approach to identify …
movement of the peripheral body parts. In this paper, we present a new approach to identify …
Characterization and real-time removal of motion artifacts from EEG signals
A Kilicarslan, JLC Vidal - Journal of neural engineering, 2019 - iopscience.iop.org
Objective. Accurate implementation of real-time non-invasive brain-machine/computer
interfaces (BMI/BCI) requires handling physiological and nonphysiological artifacts …
interfaces (BMI/BCI) requires handling physiological and nonphysiological artifacts …