Challenges and prospects of visual contactless physiological monitoring in clinical study
The monitoring of physiological parameters is a crucial topic in promoting human health and
an indispensable approach for assessing physiological status and diagnosing diseases …
an indispensable approach for assessing physiological status and diagnosing diseases …
The 2023 wearable photoplethysmography roadmap
Photoplethysmography is a key sensing technology which is used in wearable devices such
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …
Data quality evaluation in wearable monitoring
Wearable recordings of neurophysiological signals captured from the wrist offer enormous
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …
Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet
The photoplethysmogram (PPG) signal is widely measured by clinical and consumer
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
An n‐Type All‐Fused‐Ring Molecule with Photoresponse to 1000 nm for Highly Sensitive Near‐Infrared Photodetector
Y Zhang, Y Yu, X Liu, J Miao, Y Han, J Liu… - Advanced …, 2023 - Wiley Online Library
Most of all‐fused‐ring π‐conjugated molecules have wide or medium bandgap and show
photo response in the visible range. In this work, an all‐fused‐ring n‐type molecule, which …
photo response in the visible range. In this work, an all‐fused‐ring n‐type molecule, which …
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
The photoplethysmogram (PPG) signal is widely used in pulse oximeters and smartwatches.
A fundamental step in analysing the PPG is the detection of heartbeats. Several PPG beat …
A fundamental step in analysing the PPG is the detection of heartbeats. Several PPG beat …
Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet
Arterial pulse waves (PWs) such as blood pressure and photoplethysmogram (PPG) signals
contain a wealth of information on the cardiovascular (CV) system that can be exploited to …
contain a wealth of information on the cardiovascular (CV) system that can be exploited to …
A deep learning approach for atrial fibrillation classification using multi-feature time series data from ecg and ppg
Atrial fibrillation is a prevalent cardiac arrhythmia that poses significant health risks to
patients. The use of non-invasive methods for AF detection, such as Electrocardiogram and …
patients. The use of non-invasive methods for AF detection, such as Electrocardiogram and …
State of the science and recommendations for using wearable technology in sleep and circadian research
Wearable sleep-tracking technology is of growing use in the sleep and circadian fields,
including for applications across other disciplines, inclusive of a variety of disease states …
including for applications across other disciplines, inclusive of a variety of disease states …
Recent advances in non-invasive blood pressure monitoring and prediction using a machine learning approach
Blood pressure (BP) monitoring can be performed either invasively via arterial
catheterization or non-invasively through a cuff sphygmomanometer. However, for …
catheterization or non-invasively through a cuff sphygmomanometer. However, for …