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 …
Thermal infrared imaging-based affective computing and its application to facilitate human robot interaction: A review
Over recent years, robots are increasingly being employed in several aspects of modern
society. Among others, social robots have the potential to benefit education, healthcare, and …
society. Among others, social robots have the potential to benefit education, healthcare, and …
Assessment of non-invasive blood pressure prediction from ppg and rppg signals using deep learning
F Schrumpf, P Frenzel, C Aust, G Osterhoff, M Fuchs - Sensors, 2021 - mdpi.com
Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP)
measurement is interesting for various reasons. First, PPG can easily be measured using …
measurement is interesting for various reasons. First, PPG can easily be measured using …
[HTML][HTML] Artificial intelligence for detection of cardiovascular-related diseases from wearable devices: a systematic review and meta-analysis
Purpose Several artificial intelligence (AI) models for the detection and prediction of
cardiovascular-related diseases, including arrhythmias, diabetes, and sleep apnea, have …
cardiovascular-related diseases, including arrhythmias, diabetes, and sleep apnea, have …
Diagnostic features and potential applications of PPG signal in healthcare: A systematic review
Recent research indicates that Photoplethysmography (PPG) signals carry more information
than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive …
than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive …
Photoplethysmogram based vascular aging assessment using the deep convolutional neural network
Arterial stiffness due to vascular aging is a major indicator during the assessment of
cardiovascular risk. In this study, we propose a method for age estimation by applying deep …
cardiovascular risk. In this study, we propose a method for age estimation by applying deep …
Regions of interest selection and thermal imaging data analysis in sports and exercise science: a narrative review
Objective: Infrared thermography (IRT) is a non-invasive, contactless and low-cost
technology that allows recording of the radiating energy that is released from a body …
technology that allows recording of the radiating energy that is released from a body …
Neuroplasticity within and between functional brain networks in mental training based on long-term meditation
(1) The effects of intensive mental training based on meditation on the functional and
structural organization of the human brain have been addressed by several neuroscientific …
structural organization of the human brain have been addressed by several neuroscientific …
Prediction of state anxiety by machine learning applied to photoplethysmography data
Background As the human behavior is influenced by both cognition and emotion, affective
computing plays a central role in human-machine interaction. Algorithms for emotions …
computing plays a central role in human-machine interaction. Algorithms for emotions …
Electroencephalography-derived prognosis of functional recovery in acute stroke through machine learning approaches
Stroke, if not lethal, is a primary cause of disability. Early assessment of markers of recovery
can allow personalized interventions; however, it is difficult to deliver indexes in the acute …
can allow personalized interventions; however, it is difficult to deliver indexes in the acute …