A federated learning and blockchain framework for physiological signal classification based on continual learning
A key challenge of physiological signal processing in the Internet of Medical Things is that
physiological signals usually have dynamic distribution changes. Another challenge is that …
physiological signals usually have dynamic distribution changes. Another challenge is that …
A scalable and transferable federated learning system for classifying healthcare sensor data
With the development of Internet of Medical Things, massive healthcare sensor data (HSD)
are transmitted in the Internet, which faces various security problems. Healthcare data are …
are transmitted in the Internet, which faces various security problems. Healthcare data are …
Recurrent neural network for human activity recognition in embedded systems using ppg and accelerometer data
M Alessandrini, G Biagetti, P Crippa, L Falaschetti… - Electronics, 2021 - mdpi.com
Photoplethysmography (PPG) is a common and practical technique to detect human activity
and other physiological parameters and is commonly implemented in wearable devices …
and other physiological parameters and is commonly implemented in wearable devices …
RRWaveNet: A Compact End-to-End Multiscale Residual CNN for Robust PPG Respiratory Rate Estimation
P Osathitporn, G Sawadwuthikul… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Respiratory rate (RR) is an important biomarker as RR changes can reflect severe medical
events, such as heart disease, lung disease, and sleep disorders. Unfortunately, standard …
events, such as heart disease, lung disease, and sleep disorders. Unfortunately, standard …
[HTML][HTML] A Review on Assisted Living Using Wearable Devices
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 …
expectancy as a serious risk factor for the financial sustainability of social healthcare …
A novel deep learning architecture and MINIROCKET feature extraction method for human activity recognition using ECG, PPG and inertial sensor dataset
RK Bondugula, SK Udgata, KB Sivangi - Applied Intelligence, 2023 - Springer
The research in human activity recognition has gained prominence in various applications,
including healthcare, medical, and surveillance. The earlier popular techniques which relied …
including healthcare, medical, and surveillance. The earlier popular techniques which relied …
Improved electrode motion artefact denoising in ECG using convolutional neural networks and a custom loss function
Heart disease is the leading cause of mortality worldwide, and it is of utmost importance that
clinicians and researchers understand the dynamics of the heart. As an electrical measure of …
clinicians and researchers understand the dynamics of the heart. As an electrical measure of …
An efficient federated learning solution for the artificial intelligence of things
Federated Learning (FL) has gained popularity due to its advantages over centralized
learning. However, existing FL research has primarily focused on unconstrained wired …
learning. However, existing FL research has primarily focused on unconstrained wired …
Improving performance of human action intent recognition: Analysis of gait recognition machine learning algorithms and optimal combination with inertial …
Y Liu, X Liu, Z Wang, X Yang, X Wang - Computers in Biology and Medicine, 2023 - Elsevier
Human action intent recognition has become increasingly dependent on computational
accuracy, real-time responsiveness, and model lightness. Model selection, data filtering, and …
accuracy, real-time responsiveness, and model lightness. Model selection, data filtering, and …
Multi-headed conv-lstm network for heart rate estimation during daily living activities
M Wilkosz, A Szczęsna - Sensors, 2021 - mdpi.com
Non-invasive photoplethysmography (PPG) technology was developed to track heart rate
during physical activity under free-living conditions. Automated analysis of PPG has made it …
during physical activity under free-living conditions. Automated analysis of PPG has made it …