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 …

[HTML][HTML] A Review on Assisted Living Using Wearable Devices

G Iadarola, A Mengarelli, P Crippa, S Fioretti… - Sensors, 2024 - mdpi.com
Forecasts about the aging trend of the world population agree on identifying increased life
expectancy as a serious risk factor for the financial sustainability of social healthcare …

CARMA: a robust motion artifact reduction algorithm for heart rate monitoring from PPG signals

A Baca, G Biagetti, M Camilletti… - 2015 23rd European …, 2015 - ieeexplore.ieee.org
Photoplethysmography (PPG) is a non invasive measurement of the blood flow, that can be
used instead of electrocardiography to estimate heart rate (HR). Most existing techniques …

Reduced complexity algorithm for heart rate monitoring from PPG signals using automatic activity intensity classifier

G Biagetti, P Crippa, L Falaschetti, S Orcioni… - … Signal Processing and …, 2019 - Elsevier
Photoplethysmography (PPG) is a well-studied and promising technique to detect heart rate
(HR) using cheap, non-invasive, wrist-wearable sensors that sense the amount of light …

Motion artifact reduction in photoplethysmography using Bayesian classification for physical exercise identification

G Biagetti, P Crippa, L Falaschetti, S Orcioni… - … Conference on Pattern …, 2016 - scitepress.org
Accurate heart rate (HR) estimation from photoplethysmography (PPG) recorded from
subjects' wrist when the subjects are performing various physical exercises is a challenging …

Estimating SpO2 via Time-Efficient High-Resolution Harmonics Analysis and Maximum Likelihood Tracking

F Fan, Y Yan, K Zhao, F Long… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
The accuracy of noninvasive oxygen saturation (SpO 2), which is defined by the
measurements based on photoplethysmographic (PPG) signals, is intensively affected by …

A motion-tolerant approach for monitoring SpO2 and heart rate using photoplethysmography signal with dual frame length processing and multi-classifier fusion

F Fan, Y Yan, Y Tang, H Zhang - Computers in biology and medicine, 2017 - Elsevier
Monitoring pulse oxygen saturation (SpO 2) and heart rate (HR) using
photoplethysmography (PPG) signal contaminated by a motion artifact (MA) remains a …

[PDF][PDF] Non-invasive estimation of oxygen saturation level in blood

CN Devi, ZC Alex - Indian J. Sci. Technol, 2017 - researchgate.net
Background: Oxygen saturation level in blood is obtained invasively or non-invasively.
Presently, non-invasive approaches which entail photoplethysmographic (PPG) signals are …

Photoplethysmography and Inertial Sensors in Wearable Devices for Healthcare: Multimodal Signal Processing for Increasing Accuracy

G Biagetti, P Crippa, L Falaschetti… - Non-Invasive Health …, 2024 - taylorfrancis.com
Multimodal signal processing is a technique by which signals from different physical
domains are processed together in order to aid or improve the detection or measurement of …

[引用][C] MICROST: A Mixed Approach for Heart Rate Monitoring During Intensive Physical Exercise Using Wrist-Type Photoplethysmographic (PPG) Signals

K Tan, S Zhu, X Zhang, Z Liu, B Liu