Photoplethysmogram analysis and applications: an integrative review

J Park, HS Seok, SS Kim, H Shin - Frontiers in Physiology, 2022 - frontiersin.org
Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for
measuring the physiological state of an individual in daily life. This review aims to examine …

Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring

L Zhao, C Liang, Y Huang, G Zhou, Y Xiao, N Ji… - npj Digital …, 2023 - nature.com
Cardiovascular diseases (CVDs) are a leading cause of death worldwide. For early
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …

Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet

PH Charlton, B Paliakaitė, K Pilt… - American Journal …, 2022 - journals.physiology.org
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 …

A review of deep learning-based contactless heart rate measurement methods

A Ni, A Azarang, N Kehtarnavaz - Sensors, 2021 - mdpi.com
The interest in contactless or remote heart rate measurement has been steadily growing in
healthcare and sports applications. Contactless methods involve the utilization of a video …

Cuff-less blood pressure estimation from photoplethysmography via visibility graph and transfer learning

W Wang, P Mohseni, KL Kilgore… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
This paper presents a new solution that enables the use of transfer learning for cuff-less
blood pressure (BP) monitoring via short duration of photoplethysmogram (PPG). The …

Prediction of arterial blood pressure waveforms from photoplethysmogram signals via fully convolutional neural networks

J Cheng, Y Xu, R Song, Y Liu, C Li, X Chen - Computers in Biology and …, 2021 - Elsevier
Cardiovascular disease (CVD) is one of the most serious diseases threatening human
health. Arterial blood pressure (ABP) waveforms, containing vivid cardiovascular …

A new method for heart rate prediction based on LSTM-BiLSTM-Att

H Lin, S Zhang, Q Li, Y Li, J Li, Y Yang - Measurement, 2023 - Elsevier
This paper proposes a new method for heart rate prediction based on LSTM-BiLSTM-Att
model (Long Short Term Memory, Bidirectional LSTM, Attention Mechanism). In this LSTM …

KD-informer: A cuff-less continuous blood pressure waveform estimation approach based on single photoplethysmography

C Ma, P Zhang, F Song, Y Sun, G Fan… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Ambulatory blood pressure (BP) monitoring plays a critical role in the early prevention and
diagnosis of cardiovascular diseases. However, cuff-based inflatable devices cannot be …

A deep learning approach for atrial fibrillation classification using multi-feature time series data from ecg and ppg

B Aldughayfiq, F Ashfaq, NZ Jhanjhi, M Humayun - Diagnostics, 2023 - mdpi.com
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 …

A refined blood pressure estimation model based on single channel photoplethysmography

Y Zhang, X Ren, X Liang, X Ye… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
This study proposed a refined BP prediction strategy that using single-channel
photoplethysmography (PPG) signals to stratify populations by cardiovascular status before …