Continuous blood pressure estimation using exclusively photopletysmography by LSTM-based signal-to-signal translation
LN Harfiya, CC Chang, YH Li - Sensors, 2021 - mdpi.com
Monitoring continuous BP signal is an important issue, because blood pressure (BP) varies
over days, minutes, or even seconds for short-term cases. Most of photoplethysmography …
over days, minutes, or even seconds for short-term cases. Most of photoplethysmography …
Generalized deep neural network model for cuffless blood pressure estimation with photoplethysmogram signal only
Due to the growing public awareness of cardiovascular disease (CVD), blood pressure (BP)
estimation models have been developed based on physiological parameters extracted from …
estimation models have been developed based on physiological parameters extracted from …
Sleep staging from electrocardiography and respiration with deep learning
Abstract Study Objectives Sleep is reflected not only in the electroencephalogram but also in
heart rhythms and breathing patterns. We hypothesized that it is possible to accurately stage …
heart rhythms and breathing patterns. We hypothesized that it is possible to accurately stage …
FaceBit: Smart face masks platform
The COVID-19 pandemic has dramatically increased the use of face masks across the
world. Aside from physical distancing, they are among the most effective protection for …
world. Aside from physical distancing, they are among the most effective protection for …
[HTML][HTML] Trends in heart rate and heart rate variability during pregnancy and the 3-month postpartum period: continuous monitoring in a free-living context
F Sarhaddi, I Azimi, A Axelin, H Niela-Vilen… - JMIR mHealth and …, 2022 - mhealth.jmir.org
Background: Heart rate variability (HRV) is a noninvasive method that reflects the regulation
of the autonomic nervous system. Altered HRV is associated with adverse mental or physical …
of the autonomic nervous system. Altered HRV is associated with adverse mental or physical …
Towards an emotionally augmented metaverse: a framework for recording and analysing physiological data and user behaviour
Several big tech companies are currently eager of building the metaverse, mainly through
virtual reality experiences. Albeit immersive, in shared virtual environments it might be …
virtual reality experiences. Albeit immersive, in shared virtual environments it might be …
PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single-and Multi-User Studies
The proliferation of physiological sensors opens new opportunities to explore interactions,
conduct experiments and evaluate the user experience with continuous monitoring of bodily …
conduct experiments and evaluate the user experience with continuous monitoring of bodily …
[HTML][HTML] On-road trust and perceived risk in Level 2 automation
To encourage appropriate use of driving automation, we need to understand and monitor
driver's trust and risk perception. We examined (1) how trust and perceived risk are affected …
driver's trust and risk perception. We examined (1) how trust and perceived risk are affected …
Affective Touch as Immediate and Passive Wearable Intervention
We investigated affective touch as a new pathway to passively mitigate in-the-moment
anxiety. While existing mobile interventions offer great promises for health and well-being …
anxiety. While existing mobile interventions offer great promises for health and well-being …
Deep learning fused wearable pressure and PPG data for accurate heart rate monitoring
Photoplethysmography (PPG) provides a non-invasive method to detect heart rate but, due
to inherent noise, fails to accurately and reliably capture the true heartbeat waveform and …
to inherent noise, fails to accurately and reliably capture the true heartbeat waveform and …