The 2023 wearable photoplethysmography roadmap

PH Charlton, J Allen, R Bailón, S Baker… - Physiological …, 2023 - iopscience.iop.org
Photoplethysmography is a key sensing technology which is used in wearable devices such
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …

Skin-interfacing wearable biosensors for smart health monitoring of infants and neonates

L Zhou, M Guess, KR Kim, WH Yeo - Communications Materials, 2024 - nature.com
Health monitoring of infant patients in intensive care can be especially strenuous for both the
patient and their caregiver, as testing setups involve a tangle of electrodes, probes, and …

Vitality surveillance at distance using thin-film tandem-like narrowband near-infrared photodiodes with light-enhanced responsivity

R Ollearo, X Ma, HB Akkerman, M Fattori, MJ Dyson… - Science …, 2023 - science.org
Remote measurement of vital sign parameters like heartbeat and respiration rate represents
a compelling challenge in monitoring an individual's health in a noninvasive way. This could …

High‐Performing Acid‐Free PEDOT: PSS‐Based Organic Photodiodes for Cardiovascular Disease Diagnosis

Z Yang, BG Kim, W Jang, JH Park… - Advanced Functional …, 2024 - Wiley Online Library
Photodetectors made from low‐toxicity organic materials are considered a promising
alternative to conventional inorganic photodetectors. However, the performance of current …

An efficient hybrid LSTM-ANN joint classification-regression model for PPG based blood pressure monitoring

NF Ali, M Atef - Biomedical Signal Processing and Control, 2023 - Elsevier
This paper investigates the importance of classification in optimizing the estimation accuracy
of blood pressure (BP) using photoplethysmography (PPG) signal features, with the aim of …

[HTML][HTML] PPG signals-based blood-pressure estimation using grid search in hyperparameter optimization of CNN–LSTM

NQ Mahardika T, YN Fuadah, DU Jeong, KM Lim - Diagnostics, 2023 - mdpi.com
Researchers commonly use continuous noninvasive blood-pressure measurement (cNIBP)
based on photoplethysmography (PPG) signals to monitor blood pressure conveniently …

Camera-based seismocardiogram for heart rate variability monitoring

L Liu, D Yu, H Lu, C Shan… - IEEE Journal of Biomedical …, 2024 - ieeexplore.ieee.org
Heart rate variability (HRV) is a crucial metric that quantifies the variation between
consecutive heartbeats, serving as a significant indicator of autonomic nervous system …

Integrating biofeedback and artificial intelligence into eXtended reality training scenarios: A systematic literature review

KL Blackmore, SP Smith, JD Bailey… - Simulation & …, 2024 - journals.sagepub.com
Background The addition of biofeedback and artificial intelligence (AI) in simulation training
and serious games has shown promising results in improving the effectiveness of training …