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Motion artifact removal techniques for wearable EEG and PPG sensor systems
Removal of motion artifacts is a critical challenge, especially in wearable
electroencephalography (EEG) and photoplethysmography (PPG) devices that are exposed …
electroencephalography (EEG) and photoplethysmography (PPG) devices that are exposed …
Stress detection with single PPG sensor by orchestrating multiple denoising and peak-detecting methods
Stress is one of the major causes of diseases in modern society. Therefore, measuring and
managing the degree of stress is crucial to maintain a healthy life. The goal of this paper is to …
managing the degree of stress is crucial to maintain a healthy life. The goal of this paper is to …
A survey on denoising techniques of PPG signal
B Mishra, NS Nirala - 2020 IEEE international conference for …, 2020 - ieeexplore.ieee.org
Noise always deteriorates the quality of Photoplethysmogram (PPG) signal. Time variant
nature of PPG signal causes complications in removal of noise from PPG signal. A good …
nature of PPG signal causes complications in removal of noise from PPG signal. A good …
BIMO: Bootstrap Inter–Intra Modality at Once Unsupervised Learning for Multivariate Time Series
It is difficult to learn meaningful representations of time-series data since they are sparsely
labeled and unpredictable. Hence, we propose bootstrap inter–intra modality at once …
labeled and unpredictable. Hence, we propose bootstrap inter–intra modality at once …
[PDF][PDF] PPG signal preprocessing and comparison study with learning-based model for stress detection
PPG signals are widely used to measure and provide personalized health information in
wearable devices. However, PPG signals are often corrupted by different artifacts, and the …
wearable devices. However, PPG signals are often corrupted by different artifacts, and the …