Finding order in chaos: A novel data augmentation method for time series in contrastive learning
BU Demirel, C Holz - Advances in Neural Information …, 2024 - proceedings.neurips.cc
The success of contrastive learning is well known to be dependent on data augmentation.
Although the degree of data augmentations has been well controlled by utilizing pre-defined …
Although the degree of data augmentations has been well controlled by utilizing pre-defined …
Embedding temporal convolutional networks for energy-efficient ppg-based heart rate monitoring
Photoplethysmography (PPG) sensors allow for non-invasive and comfortable heart rate
(HR) monitoring, suitable for compact wrist-worn devices. Unfortunately, motion artifacts …
(HR) monitoring, suitable for compact wrist-worn devices. Unfortunately, motion artifacts …
DeepHeart: A deep learning approach for accurate heart rate estimation from PPG signals
Heart rate (HR) estimation based on photoplethysmography (PPG) signals has been widely
adopted in wrist-worn devices. However, the motion artifacts caused by the user's physical …
adopted in wrist-worn devices. However, the motion artifacts caused by the user's physical …
BiometricNet: Deep learning based biometric identification using wrist-worn PPG
Rapid advances in semiconductor fabrication technology have enabled the proliferation of
miniaturized body-worn sensors capable of long term pervasive biomedical signal …
miniaturized body-worn sensors capable of long term pervasive biomedical signal …
Cross-domain joint dictionary learning for ECG reconstruction from PPG
An emerging research direction considers the inverse problem of inferring
electrocardiogram (ECG) from photoplethysmogram (PPG) to bring about the synergy …
electrocardiogram (ECG) from photoplethysmogram (PPG) to bring about the synergy …
A machine learning approach for heart rate estimation from PPG signal using random forest regression algorithm
In this paper, a new method is proposed to estimate the heart rate (HR) from wearable
devices. A promising feature in today's world of HR monitoring is Photoplethysmography …
devices. A promising feature in today's world of HR monitoring is Photoplethysmography …
MOMBAT: Heart rate monitoring from face video using pulse modeling and Bayesian tracking
A non-invasive yet inexpensive method for heart rate (HR) monitoring is of great importance
in many real-world applications including healthcare, psychology understanding, affective …
in many real-world applications including healthcare, psychology understanding, affective …
Learned Kernels for Interpretable and Efficient PPG Signal Quality Assessment and Artifact Segmentation
Photoplethysmography (PPG) provides a low-cost, non-invasive method to continuously
monitor various cardiovascular parameters. PPG signals are generated by wearable devices …
monitor various cardiovascular parameters. PPG signals are generated by wearable devices …
SeRaNDiP: Leveraging Inherent Sensor Random Noise for Differential Privacy Preservation in Wearable Community Sensing Applications
AIK Kalupahana, AN Balaji, X Xiao… - Proceedings of the ACM on …, 2023 - dl.acm.org
Personal data collected from today's wearable sensors contain a rich amount of information
that can reveal a user's identity. Differential privacy (DP) is a well-known technique for …
that can reveal a user's identity. Differential privacy (DP) is a well-known technique for …
Real time heart rate detection from PPG signal in noisy environment
In this paper a Photoplethysmography (PPG) based noise robust real time heart rate
measurement technique is proposed. It has been developed using Arduino Uno board …
measurement technique is proposed. It has been developed using Arduino Uno board …