Motion artifact removal techniques for wearable EEG and PPG sensor systems

D Seok, S Lee, M Kim, J Cho, C Kim - Frontiers in Electronics, 2021 - frontiersin.org
Removal of motion artifacts is a critical challenge, especially in wearable
electroencephalography (EEG) and photoplethysmography (PPG) devices that are exposed …

Detection and monitoring of viral infections via wearable devices and biometric data

CJ Goergen, MKJ Tweardy, SR Steinhubl… - Annual review of …, 2022 - annualreviews.org
Mounting clinical evidence suggests that viral infections can lead to detectable changes in
an individual's normal physiologic and behavioral metrics, including heart and respiration …

On-device integrated PPG quality assessment and sensor disconnection/saturation detection system for IoT health monitoring

GNK Reddy, MS Manikandan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we propose a new on-device photoplethysmography (PPG) signal quality
assessment (SQA) system based on the first-order (FO) predictor coefficient (PC) of …

Unified quality-aware compression and pulse-respiration rates estimation framework for reducing energy consumption and false alarms of wearable PPG monitoring …

GNK Reddy, MS Manikandan, NVLN Murty… - IEEE …, 2023 - ieeexplore.ieee.org
Due to the high demands of tiny, compact, lightweight, and low-cost photoplethysmogram
(PPG) monitoring devices, these devices are resource-constrained including limited battery …

A survey of photoplethysmography and imaging photoplethysmography quality assessment methods

T Desquins, F Bousefsaf, A Pruski, C Maaoui - Applied Sciences, 2022 - mdpi.com
Photoplethysmography is a method to visualize the variation in blood volume within tissues
with light. The signal obtained has been used for the monitoring of patients, interpretation for …

A deep learning–based ppg quality assessment approach for heart rate and heart rate variability

EK Naeini, F Sarhaddi, I Azimi, P Liljeberg… - ACM Transactions on …, 2023 - dl.acm.org
Photoplethysmography (PPG) is a non-invasive optical method to acquire various vital signs,
including heart rate (HR) and heart rate variability (HRV). The PPG method is highly …

LSTM-based real-time signal quality assessment for blood volume pulse analysis

H Gao, C Zhang, S Pei, X Wu - Biomedical Optics Express, 2023 - opg.optica.org
Remote photoplethysmogram (rPPG) is a low-cost method to extract blood volume pulse
(BVP). Some crucial vital signs, such as heart rate (HR) and respiratory rate (RR) etc. can be …

Optimized signal quality assessment for photoplethysmogram signals using feature selection

F Mohagheghian, D Han, A Peitzsch… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: With the increasing use of wearable healthcare devices for remote patient
monitoring, reliable signal quality assessment (SQA) is required to ensure the high accuracy …

[HTML][HTML] Investigating the impact of contact pressure on photoplethysmograms

JP Sirkiä, T Panula, M Kaisti - Biomedical Engineering Advances, 2024 - Elsevier
Photoplethysmography (PPG) sensors are widely used to measure a variety of physiological
parameters, from heart rate to clinically important peripheral oxygen saturation (SpO 2). The …

Continuous patient-independent estimation of respiratory rate and blood pressure using robust spectro-temporal features derived from photoplethysmogram only

MA Sultan, W Saadeh - IEEE Open Journal of Engineering in …, 2023 - ieeexplore.ieee.org
Objective: A patient-independent approach for continuous estimation of vital signs using
robust spectro-temporal features derived from only photoplethysmogram (PPG) signal …