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 …
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] A review: Blood pressure monitoring based on PPG and circadian rhythm
G Chen, L Zou, Z Ji - APL bioengineering, 2024 - pubs.aip.org
The demand for ambulatory blood pressure monitoring (ABPM) is increasing due to the
global rise in cardiovascular disease patients. However, conventional ABPM methods are …
global rise in cardiovascular disease patients. However, conventional ABPM methods are …
Heart Rate Estimation in Driver Monitoring System Using Quality-Guided Spectrum Peak Screening
Z Gong, X Yang, R Song, X Han, C Ren… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Remote photoplethysmography (rPPG) enables heart rate (HR) measurement under stable
illumination and low noise conditions. However, challenges arise due to rapid lighting …
illumination and low noise conditions. However, challenges arise due to rapid lighting …
IDTL-rPPG: Remote heart rate estimation using instance-based deep transfer learning
H Gao, C Zhang, S Pei, X Wu - Biomedical Signal Processing and Control, 2024 - Elsevier
Remote photoplethysmography (rPPG) holds significant promise for estimating physiological
parameters due to its non-contact nature and cost-effectiveness. However, the blood volume …
parameters due to its non-contact nature and cost-effectiveness. However, the blood volume …
Video-based beat-by-beat blood pressure monitoring via transfer deep-learning
Currently, learning physiological vital signs such as blood pressure (BP), hemoglobin levels,
and oxygen saturation, from Photoplethysmography (PPG) signal, is receiving more …
and oxygen saturation, from Photoplethysmography (PPG) signal, is receiving more …
A novel frequency tracking algorithm for non-contact vital sign monitoring
L Cao, R Wei, Z Zhao, D Wang, C Fu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Noncontact vital sign monitoring, based on mm-wave frequency-modulated continuous
wave (FMCW) radar, can be widely applied in elderly care, clinical diagnoses, and in …
wave (FMCW) radar, can be widely applied in elderly care, clinical diagnoses, and in …
A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals
Objective: The proliferation of wearable devices has escalated the standards for
photoplethysmography (PPG) signal quality. This study introduces a lightweight model to …
photoplethysmography (PPG) signal quality. This study introduces a lightweight model to …
iBVP Dataset: RGB-Thermal rPPG Dataset With High Resolution Signal Quality Labels
Remote photo-plethysmography (rPPG) has emerged as a non-intrusive and promising
physiological sensing capability in human–computer interface (HCI) research, gradually …
physiological sensing capability in human–computer interface (HCI) research, gradually …
Video-based heart rate estimation with spectrogram signal quality ranking and fusion
Remote photoplethysmography (rPPG) enables non-contact measurement of heart rate
(HR). However, the stability of rPPG extraction is a bottleneck limiting its application. To …
(HR). However, the stability of rPPG extraction is a bottleneck limiting its application. To …