A Review of Deep Learning Methods for Photoplethysmography Data
Photoplethysmography (PPG) is a highly promising device due to its advantages in
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
A deep matched filter for R-peak detection in ear-ECG
The Ear-ECG provides a continuous Lead I electrocardiogram (ECG) by measuring the
potential difference related to heart activity using electrodes that can be embedded within …
potential difference related to heart activity using electrodes that can be embedded within …
Continuous patient-independent estimation of respiratory rate and blood pressure using robust spectro-temporal features derived from photoplethysmogram only
Objective: A patient-independent approach for continuous estimation of vital signs using
robust spectro-temporal features derived from only photoplethysmogram (PPG) signal …
robust spectro-temporal features derived from only photoplethysmogram (PPG) signal …
The Deep-Match Framework: R-Peak Detection in Ear-ECG
The Ear-ECG provides a continuous Lead I like electrocardiogram (ECG) by measuring the
potential difference related to heart activity by electrodes which are embedded within …
potential difference related to heart activity by electrodes which are embedded within …
Feasibility of Transfer Learning from Finger PPG to In-Ear PPG
The success of deep learning methods has enabled many modern wearable health
applications, but has also highlighted the critical caveat of their extremely data hungry …
applications, but has also highlighted the critical caveat of their extremely data hungry …
Respiratory rate estimation from photoplethysmogram baseline wandering by harmonic analysis and sequential fusion
C Zhang, S Wei, G Dong, Y Zeng, G Zhu, X Zhou… - … Signal Processing and …, 2025 - Elsevier
Photoplethysmogram (PPG) is typically employed to monitor heart rate and estimate
respiratory rate (RR). The majority of PPG-based respiratory rate estimation methods …
respiratory rate (RR). The majority of PPG-based respiratory rate estimation methods …
Amplitude-independent machine learning for PPG through visibility graphs and transfer learning
Photoplethysmography (PPG) refers to the measurement of variations in blood volume using
light and is a feature of most wearable devices. The PPG signals provide insight into the …
light and is a feature of most wearable devices. The PPG signals provide insight into the …
PPG2RespNet: a deep learning model for respirational signal synthesis and monitoring from photoplethysmography (PPG) signal
MNI Shuzan, MH Chowdhury, SB Alam… - … Engineering Sciences in …, 2024 - Springer
Breathing conditions affect a wide range of people, including those with respiratory issues
like asthma and sleep apnea. Smartwatches with photoplethysmogram (PPG) sensors can …
like asthma and sleep apnea. Smartwatches with photoplethysmogram (PPG) sensors can …
Self-Supervised Blind Source Separation via Multi-Encoder Autoencoders
MB Webster, J Lee - arXiv preprint arXiv:2309.07138, 2023 - arxiv.org
The task of blind source separation (BSS) involves separating sources from a mixture
without prior knowledge of the sources or the mixing system. This is a challenging problem …
without prior knowledge of the sources or the mixing system. This is a challenging problem …
[PDF][PDF] VGTL-net: Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning
Y Miaoa, HJ Daviesa, DP Mandica - researchgate.net
Photoplethysmography (PPG) refers to the measurement of variations in blood volume using
light and is a feature of most wearable devices. The PPG signals provide insight into the …
light and is a feature of most wearable devices. The PPG signals provide insight into the …